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Welcome to the program on
Enhance Productivity and Product quality thru’
Lean Six Sigma
by
H K Varma Varmahk@Gmail.com
98202 62986
22 426 62986
Our Mission
Knowledge + Training
=
Prosperity
Program schedule
• 10.00 – 11.15 Session I
• 11.30 – 1.00 Session II
Lunch break 1.00 to 2.00
• 2.00 – 3.30 Session III
• 3.30 – 4.50 Session IV
• 4.50 – 5.00 Q / A
• 5.00 ----------- Close
Globalization and Liberalization......
• Globalization is the process of opening up of the local and
national markets to the global market.
• Globalization and Liberalization bring with it ,bag-full of
opportunities ( multi-fold growth opportunities/
Technology ) .
• It also brings with it tremendous challenges for developing
nations.
• While the per capita income of people in the developing
countries has increased it has thrown -
lot of challenges to compete and survive in the new
emerging global arena.
Mfg Cost Var Output at TP Stores cr. 4000
241 3972 +/- in WIP 178
PBIT Misc Output -206
1191 Input Cost
3731 Dir Malt 3000
NOPAT Dir Lab 86
810 Mktg PBIT Sales/Serv 6000 Malt OH 47
929 Cost of Sales 3972 Shop OH 261
ED on Sales 794 PGOH 36
TAX OD Adj Pers Rel Exp 89 Comm Exp 163
EVA 381 -65 T&C 54 Alloc Exp 189
361 Sales Pr Exp 8
Corp alloc NDC 19
86 ODE 63
WACC Estb 31
12% Other Exp 41
Cap Chg MMI 1034
449 Cap Emp WIP 370
3738 Net F Assets FG 53
601 Curr Assets Cust OS 3073
4597 Oth contl A 67
Net WC
3137
Curr Liabilities Vendor Cr 1273
1460 Cust Adv 33
OCL 154
Areas of focus
1. Reduction in Material &
labor costs
2. Reduction in Cycle time and
Lead time
3. Reduction in Rejections ,
Wastage
4. Increase in Productivity
How
Lean-Six Sigma
can help
improve EVA
What is then Waste (MUDA) ?
MUDA (Waste and Losses)Work (Value Adding)Activity +
Value Adding Activity
A process step that transforms the
shape, property, characteristic or
feature of a product or service in the
direction specified by the customer
Non-Value Adding Activity
Process steps that take time,
resources, or space, but do not add
value to the product or service and
thus doesn’t add value to customer
Set of
processes
Customer pays only for Value addition
=
How do we move towards becoming World class ?
.....
• Exceed customer’s
expectations
– Shrink the lead times
– Reduce the Input cost
– Highest quality
– After sales service
How ::
• A process put in place to
continuously meet / exceed
customer’s expectations
• Robust monitoring system
– 5S
– Visual Controls
– Lean Manufacturing
– Six Sigma
– 7 QC tools
Mfg CostVar OutputatTP Stores cr. 4000
241 3972 +/-inWIP 178
PBIT Misc Output -206
1191 InputCost
3731 DirMalt 3000
NOPAT DirLab 86
810 Mktg PBIT Sales/Serv 6000 MaltOH 47
929 CostofSales 3972 Shop OH 261
ED onSales 794 PGOH 36
TAX OD Adj Pers RelExp 89 CommExp 163
EVA 381 -65 T&C 54 Alloc Exp 189
361 Sales PrExp 8
Corp alloc NDC 19
86 ODE 63
WACC Estb 31
12% OtherExp 41
Cap Chg MMI 1034
449 Cap Emp WIP 370
3738 NetF Assets FG 53
601 CurrAssets CustOS 3073
4597 OthcontlA 67
NetWC
3137
CurrLiabilities VendorCr 1273
1460 CustAdv 33
OCL 154
Over Production
or
early Production
Inventory
Transportation
Wait
Over Processing
Movement
Defects
• Waste of Time & Energy
on work that eventually
has to be done
• Increases throughput
time
Un-tapped
Employee creativity
Follow up
• De-motivated work force
Lean Six Sigma
• Lean Manufacturing helps to
Identify / eliminate/reduce
process wastes
• The Tools used
– JIT
– TT
– VSM (Throughput Time)
– SMED
– TPM (OEE)
– 5S
– Gemba
– Kaizen
– Pokayoke
• Six Sigma helps to control
process variability to reduce
rejections & defects
• Through a structured DMAIC
process
– Define : Breakthrough results
– Measure : Hidden factory , Sd
Deviation , Mean , Bell curve
– Analyze : Scatter Diagram ,
Cause Effect ,Control charts ..
– Improve : VOP vs VOC/VOB
– Control : Variable and Attribute
• Process Capability Cp
• Cpk - Capability Index
• 7 QC tools
Program coverage
Lean
A tool to identify & eliminate Waste
• LEAN is basically a systematic approach to identifying and eliminating
waste through the process of continuous improvement (Kaizen)
• Lean principles can be applied in various fields of mfg & service
industry (Manufacturing , Procurement , HR , Sales , Hospitality . IT
, Customer support , Logistics etc)
• It aims at identifying & eliminating process wastes in all operations
with focus on higher asset utilization & at improving service levels
• Helps you improve the essential 3‘C’s , Cash , Cost , Customer
service through the application of 4th ‘C’ ( Continuous Improvement )
• Helps you eliminate / reduce the :
– Delays
– Defects
– Capital
Takt time
Based on the customer (Marketing ) demand the Takt time is
calculated .
Takt time = Nett Available time
Customer demand
Efforts are made to overcome constraints , if any, to ensure
customer’s asking rate is met as per requirements.
It is a useful concept for balancing demand and supply and is
used in conjunction with VSM
Customer’s buying rate establishes TT
( + any extras such as test parts
and anticipated scrap)
Raw
material
Stores
Focal Organization
Prod Plnng &
Control
FG
Warehouse
Weekly
POWeekly
PO
Weekly
Internal WO
Weekly
Internal WO
Weekly
Internal WO
Weekly
Internal WO
Every
Saturday
Every
Monday
13000
units
19000
units
3000
units
5000
units
14000
units
Current status Value Stream Map
Lead Time (Inventory
in equivalent
Days) =
Inventory/Customer
asking rate
Customer demand = 50000
nos/ month (25days)
1 shift /day
ie , 2000nos./day
= 6.5d
= 9.5d
= 1.5d
= 2.5d
= 7d
Total lead
time = 27d
Total VA
= 40 Sec
Lead time ..?
Calculate total VA = Sum of all
the cycle Times
High
Invent-
ories
And many more .. ..
Machine
break-
down
Low
FPY
High
C/o
time
Future VSM ....
Long
Lead
time
27d
Advantages of balanced VSM & Takt time
• Helps re-organize the flow with minimum wastage
• Limits over production
• Helps to workout quantities between each workstation
• Buffer at each operation will be minimum
• Error proofing
• Helps regulate customer dispatches
• Helps you decide the rhythm of the line (2000/day)
• Takt Time is therefore , also called Pace Setter & is fundamental to
understanding of VSM
Improvements with VSM Current state Future state
VA - Sec 40 36
Lead Time - Days 27 8
Over Production - Nos 19000 (Step 1&2) 4000
Customer Dispatches - Nos 14000
(Once a week)
2000
(Daily)
Can be
further
reduced if
batch qty is
proportion
ately
reduced -
leading to
Single pc
flow
Cellular Manufacturing (CM)
• Manufacturing or assembly set up wherein equipment and
workstations are arranged in a single area that allows a
product or group of similar products to be processed
completely from start to finish.
• It allows continuous and smooth movement of inventories
and materials to produce
– products from start to finish in a single process flow,
while incurring
– minimal transport or waiting time, or any delay for that
matter.
• CM is an important ingredient of lean manufacturing
• It is a self-contained mini-production line that caters to a
group of products that undergo the same production
process.
5’S’ – A Quality Improvement tool
• Needs to be driven by none other than the CEO/Unit
head
• 5S is 1st step towards becoming world class
• Process includes identifying and eliminating operational
wastes which dent our profits and reflect our
performance negatively in front of our customers
• A neat & orderly workplace helps in identifying wastes
• It is the first step towards implementing any new
Improvement Initiative. Lean , TPM , SMED , Kaizen , Kanban …
6S of Productivity Improvement
Step 1 Seiri - Sort
Step 2
Step 3
Step 4
Step 5
Seiton – Set-in-order
Seiso - Shine
Seiketsu - Standardize
Shitsuke - Sustain
Step 6 Anzen - Safety
Sudharna
Sajaana
Saaf karna
Saaf rakhna
Suniyojit Rahna
Surakshit Rahna
PEEP
Items
Very rarely used
Long intervals
between use
Frequently used
RunnersRepeatersStrangers
Material at Eye level
Five principles of storage
for “One Touch Pick Up” and
space optimization
CLIT - When to do it?
(Clean , Lubricate , Inspect , Tighten)
• C L I T is NOT one-time cleaning.
• C L I T has to be done repeatedly, according to a schedule.
• It should never be done ONLY when there is free time. (You
are welcome to do it during free time ALSO).
• Production Planning must keep time aside for Initial
Cleaning.
• Ideally, keep 1 to 2 hours a week ( Min 5min each at start and
before end of each shift).
Employee Involvement - Approach
• Train employees to collect meaningful data (free from
error of measurement)
• Develop permanent solutions using appropriate problem
solving tools
• Keep records of the process performance , update them
continuously and use them on continuous basis.
• Train employees in the methods of SPC and other quality
improvement tools for improving quality
1 SORT
Organize
Clearly distinguish needed
items from
un-needed
items &
eliminate
the latter
This is the
condition
We need to
support after we
Maintain
the first 3 pillars
4 Standardize
consistent
approach
2 SET IN ORDER
Orderliness
Keep needed
items in the
correct place to
allow easy &
Immediate
retrieval
3 SHINE
Cleanliness
Keep the
work place
swept & clean
5 SUSTAIN - Discipline
Make a habit of
maintaining
Established procedures
with Continuous
Improvement
5 ‘S’
Of
Work place
organization
The 6th ‘S’
Safety
Potential Benefits of implementing 5 ‘S’
Summary
1. Reduce Wastage
2. Reduce Defects
3. Reduce Energy
4. Reduce Floor space
5. Help Implement FIFO
6. Helps to show case our products to visitors & maintain
competitive edge
TPM - Total Productive Maintenance
1. Combines the traditional practice of Preventive
maintenance with
2. Total Quality Control and Total Employee Involvement to
3. Create a culture where operators develop ownership of
their equipment to assure equipment operates properly
everyday
4. TPM is led by mfg & not maintenance
5. Before starting a TPM prog , ensure that the maintenance
store’s service level is + 95%
6. Secure the commitment of senior mgt from the start
OEE = Availability * Performance * Quality Yield
Time available for production - downtime
Time available for production
Performance :: Speed Loss
Performance = Actual output rate
Std Output rate
Quality Yield :: Quality Loss
Total no. of parts produced – Defects
Total No.of parts produced
Availability :: Downtime loss
O3. Quality losses:
• 12. Scrap product /
output
• 13. Defects, rework
• 14. Low yields
Major causes for low OEE
• Get Tool “B” from Tool stores
• Get RM "B" from RM stores
• Get necessary hand tools
•Awaiting Sample
approval from QC
•Re-Adjustments
.Transfer Tool B on the press
. Clamp Tool B
. Adjust Tool
. Place bins for good matl & scrap
. Set Air Ejection
11
14
4
4
10
12
19
6
9
5
16
10
0 5 10 15 20
•Re-Adjustments.
•Awaiting Sample approval from QC
•Set Air Ejection
•Place bins for good matl & scrap
•Heat tool 120 to 150c B
•Heat tool to 120c A
•Get RM "B" from RM stores
•Adjust Tool
•Clamp Tool B
•Get necessary hand tools
•Transfer Tool B on the press
•Get Tool “B” from Tool stores
Revised
Internal T
5
4
3
10
2
1
25
N/C
Document
New
Procedure
Document New Procedure
How does reduction in C/o time
benefit the organization
( 2hrs to 25 min )
1. Improves OEE ……………
Availability factor
2. Can now cater to More Clients
3. Helps to run Small batch sizes leading to reduced working
capital
• Reduces Inventory (RM , Components , WIP & FG)
4. Adds to flexibility in the operations
5. Reduces the through put time / Lead time
6. Improves productivity
7. Reduces Mura
SMED
3 Golden rules
• Do not mind deploying additional manpower to do
a change over
• Record change over every time and create a
visual display
• Run change over competitions frequently
Gemba
Place where you create value for your customers
• Place where it actually happens ( Place of action)
• Gemba refers to the place where value is created; in
manufacturing the gemba is the factory floor.
• It can be any "site" such as a construction site, sales floor or
where the service provider interacts directly with the customer.
• Gemba is the place where the problems are visible, and the best
improvement ideas will come from going to the gemba.
• Solutions designed away may not get acceptability
• Rather than hear or read , visit Gemba , experience the situation
FIRST hand -
• ( doctor : D Patient : Ch)
Also means “reality” or even truth
Types of Inspection
• Sampling plan
• 100% Inspection
• Based on theory of probability
• Depending on the degree of criticality
a suitable plan is selected for each
item
• The plan is pro Manufacturer as
Customer may get still get a defect
• Builds customer’s ( External or Internal )
confidence in your product
• Product is made to withstand any
use with the help of Pokayoke &
work standardization
Type of Errors
1. Forgetfulness
2. Processing error : Process operation missed or not performed
as per SOP
3. Setup error : Using the wrong tooling or setting , machine
adjustment
4. Missing part : Not all parts included in the assembly, welding,
or other processes as per BOM
5. Improper part / item : Wrong part / hardware used in the
process
6. Operations error : Carrying out an operation incorrectly;
having the incorrect version of the specification
7. Measurement error : Errors in measurement or dimensions at
incoming stage
8. Error made by Amateurs
9. Intentional Error : Sabotage / Crime
How do we arrest
these Errors
PokaYoke
• Japanese words "poka" (mistake) and "yoke"
(prevent) was invented by Shigeo Shingo in the
1960s.
• He struggled with statistical tools to find solutions to
the day to day quality issue
• The essential idea of poka-yoke is to design your
process so that ..
- mistakes are impossible or
- at least easily detected and corrected.
• Primarily designed for error proofing of Quality issue
, later extended to Safety for Accident prevention
Andon
1. It is a quality tool which applies following
principles:
-Detects Abnormality
-Stops
-Flags for human attention
Andon Yellow for 15 Min , converts to RED if un-
attended
Limit Switch - alarm
2. Transfers Human intelligence to Automated
machinery
3. Prevents production of defective products
Problem Solving
requires
• Careful action plan leading to measurable & sustainable Goals
• Thorough analysis of process
• Careful consideration of various options
• The inverse of a problem is an opportunity
So, treat Problem as an Opportunity
"Opportunities are Like Sunrises, If You Wait Too Long You Can
Miss Them".
Principles of Continuous Improvement
1. The customer's needs are critical and ever demanding
2. Anything can be improved - All processes, products, and
services can be made better through Continuous
Improvement approach (CIP).
3. Quality is everyone's job - To leave any Partner out of
the process is to miss an opportunity to improve.
4. The person doing the job knows it best – Involve the
direct Workmen
5. People deserve respect - People do their best when they
feel good about themselves and their contributions
6. Teamwork works - People working together accomplish
more than they would working alone.
Working Capital Cycle
Cash
Inventory
FG
Purchase of
Raw Matl
Receivables/
Collection
1 months
1 Months
2 Months
Production
0.5 MonthSell
1 W/C Cycle ??
No of Cycles/ Yr = 2.4
Target ……
= 5 Months
FLOW : movement between value adding processes
without delay or interruption
0.5 Month
Balance Sheet model of a Firm
Current Assets
-Receivables
-Inventories
Current Liabilities or
Short Term Debt-Payables
Fixed Assets
1.Tangible Fixed Assets
(M/c ,Equipments ,Land)
2.Intangible Assets
( Patents, Trade mark,
Quality of Management)
Long Term Debt
Shareholder’s
equity
Assets Liabilities
Working Capital Ratio (Current Ratio)
= Current Assets / Current Liabilities
< 1 indicates
> 2 means that the
W/C ratio between 1.2 and 2.0 is ideal
Quick Ratio = (Total Current assets-Inventory)/ Total Current Liabilities
negative W/C (working capital)
company is not investing excess assets.
Current ratio helps you to understand the health of an organization at a glance
Types of Inventories
• Cycle Stock
• In-Process Stock
• Safety Stock
• Seasonal Stock - SOS
• Promotional Stock
• Speculative Stock
• Dead Stock
How much to Order
Order Quantity (Nos)
CostinRs
Annual Ordering Cost
Inventory Carrying Cost
Total Cost
Lowest total cost
EOQ
Point at which
both
Ann Ordering Cost
& ICC equal
1200200 800400 600 1000
300
600
1500
1800
MRP output
Push Inventory plan
A – Annual requirement
P – Unit rate
Q – EOQ
B – Cost of processing an Order
I – ICC %
Ann Ordering Cost =
Inv Holding Cost =
For EOQ ::
A
Q
* B =
Q
2
* P *
I
100
 Q =
2∗ A∗ B∗100
P ∗ I
EOQ
𝐴
𝑄
* B
Q
2
* P *
Order Point (ROL)
Replenishment
Lead time
Time
Qty
1
2
Expected demand thru’ replenishment Lead time
+ 2. Safety stock
EOQ
Re-order
level Fresh
Replenishment
( Point at which the fresh Order
must be released )
When should this
replenishment be
ordered ?
= 1.
Matl
Consumption
Kanban Triggering Cycle
Upper
bin
full
Lower
bin
full
Both bins
full
Empty
Under
use
Full
Full
Empty
Empty
Full
Kanban
card
triggered
Full
for use
Empty
awaiting
Repleni-
shmentUnder
use
Cycle Stock
=Avg Daily * LT
Buffer
ROL
Kanban
Pull Inventory plan
Inventory Stock Plan
with Kanban
• ROL = ADR * LT + SS
SS = ADR * (Max LT – Avg LT)
or
SS = ( 6 * SD + ADR ) *
(Max LT - Avg LT)
• Points to be considered while deciding SS
Service level
Forecast errors
Delivery failures
Supplier’s location
Benefits of Kanban
1. Controls Inventory & its accuracy
2. Improves ‘5S’ with labeled bins & shelves
3. Reduces shortages due to 2 Separate bins. Empty bin gives
signal for refill as against MRP system.
4. Reduces material handling . Dedicated location ensures easier
material handling
5. Increases flexibility : Any model of product any time as all items
are stocked under the Kanban system
6. Provides robustness to material planning to take care of any
sudden peaks & dips
7. Self Regulative :: Adjusts with change in demand
8. Easy to Maintain :: Addition / Deletion of items
9. Compatible with any Material planning system MRP , ERP ,
Excel etc
The Just-in-Time Consumer
1. When economy sank in 2008 , Rebecca Seabern realized
she had
Lasanga – 2Yrs stock
Paper towels – 1yr stock
2. “ I have stopped purchasing things, just to have them on
hand “ , preferring to make bigger mortgage payments
instead
3. The recession has changed shoppers to The just-in-Time
consumer
4. For decades Americans bought big , bought more &
stocked up , confident that bulk shopping provided the
best value & discounts.
Bad inventory decisions can kill an organization's
profitability
1. The more inventory,
– not feel pain,
– the worse you can operate , and so on –
– the vicious cycle that increases costs and eventually kills
businesses.
2. Use (REDUCE) inventory as a strategic weapon for boosting
EVA to give your organization a competitive advantage
Cost of Quality
Cost of
Quality
Cost of good
quality
Cost of poor
quality
=
+
Cost of Quality Management vs Cost of servicing defects
Low Quality High
LowCostHigh
Total
cost of
Quality
Minimum
cost of
Quality
Cost of
Service
defects
Optimum
level of
Service
Quality
Where
you want
to be
Cost of
Quality
Management
96% 97% 98% 99.99%
Six Sigma
• Every mistake an organization or person makes ultimately has
a cost,
– the need to do a certain task over again,
– the part that has to be replaced,
– time or material wasted
• You consume additional resources to correct a problem
before it's delivered to the customer
• Six Sigma is a scientific problem solving tool for
– meeting your customer's needs (Time , speed , Quality )
– minimizing wasted resources (Errors , rework , Hidden
factory , variations +/-)
– maximizing profit in the process ,thru’ disciplined data
collection and analysis to determine best solutions
Six Sigma - objective
• Man-kind accepts all creations of God , Black –White ,
Short-tall , fat-slim with all distortions / discrepancies , but
....
• When it comes to creations of another man-kind the same
men don’t accept any variation be it color , aesthetics ,
size , weight etc
• Primary objective of Six Sigma is therefore to
– “do it right the first time” FPY (FTR) , and
– “do the right things right” SOP
• To ensure consistency of output in terms of both Quality
and Quantity
• Hence a need to minimize the process output variations
Process variation
1. Any process , be it manufacturing,
delivering services, conducting
transactions, there is always a
distribution of performance
around a target.
2. Normally this distribution takes on
the shape called the normal
distribution, and is also known as
the bell curve.
3. The shape of the normal
distribution curve is symmetrical
about the central line, with
4. just as much area under the curve
to the left as on the right.
Target
CTX Performance Variation
3σ
3σ
Quality and grade
• Quality is different from grade ( PF Gr 2 , 3 :: SMC 512/20,
536/30 etc) : Tensile strength : 550 , 1000 Kg/cm sq ( Two different
Means X1 , X2 )
• Quality is performance within +/- 3σ , while grade is different X
• Focus is on aiming for the target
• In Six Sigma, important characteristics are referred to as CTXs,
where the
• C stands for "critical," the T stands for "to," and the X represents
what the characteristic is linked to: quality, cost, time, and so on.
• For example, a critical-to-quality characteristic would be called a
CTQ.
Performance
Specifications
1. Performance specification limits help
to define, measure, analyze,
improve, and control quality.
2. Quality is defined by conformance to
standards or specifications.
3. When you operate or perform
within the specification limits, you
have quality.
4. When you fall outside the limits, you
have defects.
5. In Six Sigma , Quality is defined as
getting close to the target with the
least amount of variation
6. Every characteristic that can be
measured has a performance
distribution.
Lower
Spec limit
Upper
Spec limit
CTX Performance Specifications
Target
Process Variation
1. Basically, variation is deviation from expectation.
2. Variation creates uncertainty in our ability to produce a desired
outcome
3. Some variations- within limits - might be okay.
4. A little too much variation here or there, and you might have
some repairs or rework on your hands. And too much
altogether, and you're either out of a job or out of business.
5. The measurement, analysis, and control of variation is a central
theme of Six Sigma.
6. Reduction of unwanted variation is the key to achieving Six
Sigma improvements
7. If you measure the occurrence of something many times, it's
going to vary around some average or mean value.
8. A process’s output normally varies between +/- 3σ
9. The mean is the central tendency of your process
Common Cause variation
• Some variation is just natural; It is simply part of the normal
course of events.
– Tossing of coin , dice
– Arrival of bus / flight
– time between waves at the beach
– Tree height
– processing a credit card application
• This type of variation is called common-cause variation
• You can act to reduce common cause variation, but you
can't eliminate it. It's natural, and it's part of every system.
• It's in there and it's not going away
The basics of a Six Sigma project
1. When a particular problem is
selected to become a potential Six
Sigma project, it goes through a
critical transformation :
i. Practical business problem
ii. Statistical problem
iii. Statistical solution
iv. Practical solution.
2. By stating the problem in statistical
language, you ensure that you will
use data, and only data, to solve it.
3. This forces you to abandon gut
feelings, intuition, and best guesses
to address your problems
Practical Problem
Statistical Problem
Statistical Solution
Practical Solution
Results
Aligning VOC to VOP
1. Start by assessing the higher level needs of your
organization using knowledge obtained from
– The voice of the customer (VOC) and
– The voice of the business (VOB).
2. The VOC is all the needs and expectations your customers
have , for your products and services.
3. The VOB represents all the needs and expectations of the
business.
4. Align VOC & VOB to VOP.
FTY
Yield =
(352 – 103)/
352
= 70.7%
= FTY
&
The Hidden Factory
The
Hidden factory is
due to
The inability to
correctly comply
with required
specifications the
first time
The hidden factory of in-process inspection and rework
accounts for 98.6% - 70.7% = 27.9%
Hidden Factory103
98.6%
The extra efforts put to
get these 98nos.
accepted is
HIDDEN FACTORY
352 347
The Hidden factory
The hidden factory is work that is done above and beyond what is
required to produce a product or a service.....
Work that gets ingrained into the organization when you don’t ask
"Why are we doing this, since this is not adding any value?“
"That's the way we have always done it." If you have heard this,
you probably have a hidden operation.
Finding the hidden operation and quantifying its effect helps you
further understand potential level of improvement when writing
the objective statement.
Opr i Verification Opr i+1
Analysis
Off-line
repair
Scrap
Fix ?
Yes No
If problem
Standard Deviation
• The standard deviation-(σ) is by far the most commonly used
measure of dispersion
The long and short of variation
• In fact, for any selected short period of time, the process
generally varies within the same rough limits – This natural
level of variation is called the short-term (St)variation
• This short-term variation is purely random
• It is caused by the combined effect of all the little things that
are too hard to include in your understanding of the process
and is therefore also called
Common cause or random variation, short-term variation.
Process Entitlement
1. This hard wall in the improvement path is called
Entitlement (variation you can expect from a process
under the best conditions ) of the process or
2. Random variation or ST variation
3. Short-term, or entitlement, variation is used to compare
the capability of different processes to meet a specified
goal
Histogram or Probability curve
1. Pictures of data helps you understand the process
2. These pictures - called graphs or plots - are definitely better
than numbers at communicating your data to others.
3. Using visual material to communicate data is best way of
getting every one’s involvement
4. Plotting and charting data help you project
i. the central tendency and
ii. the spread of variation (uniform or skewed)
5. One of the best tool used to project both these
characteristics is called Histogram .
6. Bucket or Bin size selected should provide for 10 to 20 equal
divisions between the largest and the smallest observed
values.
A Picture’s worth a thousand words
Product specification and its importance
1. Before the 1800s, all products were manufactured one at a
time by craftsmen
2. A revolution was ignited when specialists were engaged to
separately create each of the components of a product.
3. Each focused on a smaller area
4. It was in this environment of economic revolution that
specifications were born.
5. Each specification represents what the customer requires in
order to be satisfied.
The traditional and the Six Sigma views
on specifications and the costs caused by poor qualityCostcausedbypoorquality
Characteristic scale of measure
LSL USLTarget
Under Six Sigma
Traditional
method
‘a hit or miss’
Losses keep growing as you move away from the target
Known as Taguchi loss curve
Task of Six Sigma is to understand how well the VOP meets the VOC
Meeting Six Sigma standards
• The basic aim of Six Sigma is to ensure processes give first
time right output leading to consistent performance with
variations between +/- 3σ
• Most of the output of a process generally meets the
specifications(CTQ-X) , except few , who deviate to varying
extent , measured by standard deviation (σ)
• So some units may have
– X +/- 1σ , some
– X +/- 2σ ,and some
– X +/-3σ specifications
Target 5.0 +/- 0.20
+1σ = 0.20-1σ
USL
5.20
LSL
4.80
2σ
Performance
=30.8%Rej
Std.
Deviation
Perf =0.4/0.20
= 2σ
Specs width
Filling of 5 +/- 0.2 gm Eye drop bottle
Performance = Specification Width/Process σ
2 approaches to Improvement
DMAIC DFSS
• Six Sigma offers two approaches for improvement
1. Improve the process so that chances of defects are
reduced ,ie reduce the standard deviation DMAIC
2. Change the design (DFSS) so that product can
accommodate process variations
Higher Process Sigma – lower Rejection
• A low process sigma means that a significant part of the
tail of the distribution is extending past the specification
limit. More defects.
• So the higher the process sigma , the fewer the defects
1. 2σ = 30.8% Rej
2. 3σ = 6.68% Rej
3. 3.4σ = 3% Rej
4. 4σ = 0.62% Rej
5. 5σ = 0.0223% Rej
6. 6σ = 0.0003% Rej
} Most of Indian Industries are here
This is the journey we have
to undertake
Simulation model
Statistically it is proven that shifting the process's St distribution
closer to its SL by a distance of 1.5 times its ST std. dev. would
almost cover the defects occurring in the long term.
These results
can be applied
directly to the
calculation of
short-term and
long-term
sigma (Z )
scores.
1.5σST
SL
The Seven QC tools
1. Check Sheets
2. Pareto charts
3. Histograms
4. Cause and effect diagrams
5. Scatter diagrams
6. Control Charts
7. Graphs
Identifying
Prioritizing
Analyzing
Communicating
These tools are divided in to 4 broad categories
Scatter diagram
1. Histogram plots only one distribution (characteristic) at a
time . Often one needs to explore the relationship between
two characteristics .
2. Scatter plot helps to understand the relationship between
two characteristics
3. You need to capture measurements for the two
characteristics simultaneously
4. The two characteristics can be an input and the other can be
an output (X , Y) or can be two inputs (X1, X2 ..)
5. The relationship could be :
– Positive Correlation
– Negative correlation
– Positive or negative correlation possibility
– No Correlation
Pareto Chart
1. It’s a type of bar chart where bars ( representing various
causes) are arranged in descending order of height starting
at left
2. Basically Pareto chart helps u identify, Vital few causes that
should be worked on first , to improve any problem eg
3. Vital few (20%) of items responsible for 80% of Inventory
4. Vital few (20% ) responsible for 80% of customer complaints etc
(If quality defects are arranged in order of frequency of
occurrence, few of these defects account for bulk of defectives)
5. It basically helps u to organize your efforts in solving the vital
few which contribute for majority of problems
6. Pareto charts help to improve efficiency , material waste ,
energy conservation , safety Issues , cost reduction etc
Pareto Chart
Stratification of “Quality” category
710
290
210
150
40
0
200
400
600
800
1000
1200
1400
Stale Burned Undercooked Slicing Other
Stratification of the Quality category shows “Stale”
and “ Burned” as the major causes of poor quality
The team decided to use Cause and effect tool for further analysis of the problem
Control
• A solution that isn’t sustained over the long term has little
value
• Control charts are two-dimensional graph plotting the
– performance of a process on Y axis, and
– time or the sequence of data samples on X axis.
• They are basically a type of Run chart with control limits
Why Control chart
– It shows nature of variation in the process over time
– Helps in detecting changes in the process
– Helps in controlling the process
• Specs : USL/LSL vs UCL/LCL
– CONTROL is also capability , 𝐂 𝐩 - Process Capability
Control Charts
Background
• Dr Shewhart in1920 observed that every process exhibits
some degree of variation
• Since no two things can be produced exactly alike ,
variation is natural and should be expected
• He defined that if a measurement falls within plus or
minus three standard deviations of its average, it is
considered “expected” behavior for the process.
• This is known as common cause variation
• He observed two types of variations in any process
Variable Control Charts
• Variable Control charts are used to monitor measurable
quality characteristics of a process eg Temperature ,
dimension , weight , viscosity etc
• Variable charts can monitor only one quality characteristic at
a time .
• For more than one characteristic, a chart for each
characteristic needs to be created
• Variable Control charts help to monitor both process mean
and process variability
• Hence it becomes necessary to use minimum 2 control charts
to study the process. Ie
– Range or Std Deviation
– Process mean , with UCL & LCL
Variable ( Continuous) data Control chart Summary
Control Chart Sub-group
size (n)
Control limits
Average and Standard
deviation X , R
2-10 UCL = X + A2 R
LCL = X - A2 R
Range R 2-10 UCL = D4 * R
LCL = D3 * R
Average and Standard
deviation X , S
>10 UCL = B4 S
LCL = B3 S
Individuals and moving
range MR
- Range
- X
1 UCL = D4 ∗ MR
LCL = D3 ∗ MR
UCL = X + 3
MR
d2
LCL = X − 3
MR
d2
Control Charts for Attributes
• Whenever it is difficult to take numerical measurement the
quality is judged either conforming / non-conforming -
Defectives based on attributes( Np and p charts) :
– Leaks / does not leak , No. of counts scratches , holes ,
dents etc .
• Attribute data can have two values , such as pass/fail
present/absent etc ie data which can be counted.
• It can also be no. of non-conformities (defects) that appear
on a unit ( No of dents , a/c opening form , scratches , holes
etc) : C & U charts :
• The inspection doesn’t require spl trained people as no
measurements are involved .
P Chart
( Control chart for fraction non-conforming)
• ‘P’ stands for proportion
• Measures the proportion of non-conforming units in a group of
units being inspected.
• P chart is the most versatile and widely used attribute chart
• It can be used for following purposes.
– To determine the avg. proportion (or fraction) of non-
conforming units over a given time
– To signal a change in the avg. fraction non-conforming
– To identify out-of-control points that call for immediate action
– To suggest places to implement X and R charts
• Np chart is used when analyzing only one type of defect
1. Not every performance indicator can be a KPI !
2. Just because some particular indicator is easy to measure it
should not become a KPI .Doing so dilutes your focus on what's
truly important , wastes time
3. KPIs should reflect what your CEO expects from you
4. KPIs should contribute towards meeting his goals
5. "K" in KPI stands for "key," meaning "important" – not just to
you, but to your CEO. So, report true KPI's, not mere PI's!
KPIs
He wants to know :
He wants to know:
1. How do these KPI's directly reflect contribution to the
profitability of this organization?
2. How do these KPI's directly reflect contribution to the
satisfaction of our customers?
3. How do these KPI's directly reflect contribution to the
advantage we would have over our competitors?
4. How do these KPI's directly reflect contribution to the
operational efficiency of this organization?
KPIs (contd)
Our other Training Programs
In-company as well as Open prog.
• Enhance Productivity & Inventory turns thru Principles and
Applications of Lean Manufacturing – 2days
• Vendor Management & Development - 1day
• Un-lock Working capital thru Effective Inventory Management -
1day
• World class Mfg - 3 days
• SCM – 1day
• 5S & Visual Control Management - 1day
• Material & Inventory Management - 1day
• Materials – A profit centre - 2days
The Times of India
March 3.2009
oath by LEAD INDIA ‘09
I swear that this time I will stand up.
This time I will vote.
 Against my own helplessness.
 Against my own laziness.
 Against the belief that nothing will change.
 Against short cuts.
 Against two words called ‘Chalta Hai’
Thank
you
H K Varma
9820262986
Varmahk@Gmail.com

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Lean six sigma 3d

  • 1. Welcome to the program on Enhance Productivity and Product quality thru’ Lean Six Sigma by H K Varma Varmahk@Gmail.com 98202 62986 22 426 62986
  • 2. Our Mission Knowledge + Training = Prosperity
  • 3. Program schedule • 10.00 – 11.15 Session I • 11.30 – 1.00 Session II Lunch break 1.00 to 2.00 • 2.00 – 3.30 Session III • 3.30 – 4.50 Session IV • 4.50 – 5.00 Q / A • 5.00 ----------- Close
  • 4. Globalization and Liberalization...... • Globalization is the process of opening up of the local and national markets to the global market. • Globalization and Liberalization bring with it ,bag-full of opportunities ( multi-fold growth opportunities/ Technology ) . • It also brings with it tremendous challenges for developing nations. • While the per capita income of people in the developing countries has increased it has thrown - lot of challenges to compete and survive in the new emerging global arena.
  • 5. Mfg Cost Var Output at TP Stores cr. 4000 241 3972 +/- in WIP 178 PBIT Misc Output -206 1191 Input Cost 3731 Dir Malt 3000 NOPAT Dir Lab 86 810 Mktg PBIT Sales/Serv 6000 Malt OH 47 929 Cost of Sales 3972 Shop OH 261 ED on Sales 794 PGOH 36 TAX OD Adj Pers Rel Exp 89 Comm Exp 163 EVA 381 -65 T&C 54 Alloc Exp 189 361 Sales Pr Exp 8 Corp alloc NDC 19 86 ODE 63 WACC Estb 31 12% Other Exp 41 Cap Chg MMI 1034 449 Cap Emp WIP 370 3738 Net F Assets FG 53 601 Curr Assets Cust OS 3073 4597 Oth contl A 67 Net WC 3137 Curr Liabilities Vendor Cr 1273 1460 Cust Adv 33 OCL 154 Areas of focus 1. Reduction in Material & labor costs 2. Reduction in Cycle time and Lead time 3. Reduction in Rejections , Wastage 4. Increase in Productivity How Lean-Six Sigma can help improve EVA
  • 6. What is then Waste (MUDA) ? MUDA (Waste and Losses)Work (Value Adding)Activity + Value Adding Activity A process step that transforms the shape, property, characteristic or feature of a product or service in the direction specified by the customer Non-Value Adding Activity Process steps that take time, resources, or space, but do not add value to the product or service and thus doesn’t add value to customer Set of processes Customer pays only for Value addition =
  • 7. How do we move towards becoming World class ? ..... • Exceed customer’s expectations – Shrink the lead times – Reduce the Input cost – Highest quality – After sales service How :: • A process put in place to continuously meet / exceed customer’s expectations • Robust monitoring system – 5S – Visual Controls – Lean Manufacturing – Six Sigma – 7 QC tools
  • 8. Mfg CostVar OutputatTP Stores cr. 4000 241 3972 +/-inWIP 178 PBIT Misc Output -206 1191 InputCost 3731 DirMalt 3000 NOPAT DirLab 86 810 Mktg PBIT Sales/Serv 6000 MaltOH 47 929 CostofSales 3972 Shop OH 261 ED onSales 794 PGOH 36 TAX OD Adj Pers RelExp 89 CommExp 163 EVA 381 -65 T&C 54 Alloc Exp 189 361 Sales PrExp 8 Corp alloc NDC 19 86 ODE 63 WACC Estb 31 12% OtherExp 41 Cap Chg MMI 1034 449 Cap Emp WIP 370 3738 NetF Assets FG 53 601 CurrAssets CustOS 3073 4597 OthcontlA 67 NetWC 3137 CurrLiabilities VendorCr 1273 1460 CustAdv 33 OCL 154 Over Production or early Production Inventory Transportation Wait Over Processing Movement Defects • Waste of Time & Energy on work that eventually has to be done • Increases throughput time Un-tapped Employee creativity Follow up • De-motivated work force
  • 9. Lean Six Sigma • Lean Manufacturing helps to Identify / eliminate/reduce process wastes • The Tools used – JIT – TT – VSM (Throughput Time) – SMED – TPM (OEE) – 5S – Gemba – Kaizen – Pokayoke • Six Sigma helps to control process variability to reduce rejections & defects • Through a structured DMAIC process – Define : Breakthrough results – Measure : Hidden factory , Sd Deviation , Mean , Bell curve – Analyze : Scatter Diagram , Cause Effect ,Control charts .. – Improve : VOP vs VOC/VOB – Control : Variable and Attribute • Process Capability Cp • Cpk - Capability Index • 7 QC tools Program coverage
  • 10. Lean A tool to identify & eliminate Waste • LEAN is basically a systematic approach to identifying and eliminating waste through the process of continuous improvement (Kaizen) • Lean principles can be applied in various fields of mfg & service industry (Manufacturing , Procurement , HR , Sales , Hospitality . IT , Customer support , Logistics etc) • It aims at identifying & eliminating process wastes in all operations with focus on higher asset utilization & at improving service levels • Helps you improve the essential 3‘C’s , Cash , Cost , Customer service through the application of 4th ‘C’ ( Continuous Improvement ) • Helps you eliminate / reduce the : – Delays – Defects – Capital
  • 11. Takt time Based on the customer (Marketing ) demand the Takt time is calculated . Takt time = Nett Available time Customer demand Efforts are made to overcome constraints , if any, to ensure customer’s asking rate is met as per requirements. It is a useful concept for balancing demand and supply and is used in conjunction with VSM Customer’s buying rate establishes TT ( + any extras such as test parts and anticipated scrap)
  • 12. Raw material Stores Focal Organization Prod Plnng & Control FG Warehouse Weekly POWeekly PO Weekly Internal WO Weekly Internal WO Weekly Internal WO Weekly Internal WO Every Saturday Every Monday 13000 units 19000 units 3000 units 5000 units 14000 units Current status Value Stream Map Lead Time (Inventory in equivalent Days) = Inventory/Customer asking rate Customer demand = 50000 nos/ month (25days) 1 shift /day ie , 2000nos./day = 6.5d = 9.5d = 1.5d = 2.5d = 7d Total lead time = 27d Total VA = 40 Sec Lead time ..? Calculate total VA = Sum of all the cycle Times
  • 13. High Invent- ories And many more .. .. Machine break- down Low FPY High C/o time Future VSM .... Long Lead time 27d
  • 14. Advantages of balanced VSM & Takt time • Helps re-organize the flow with minimum wastage • Limits over production • Helps to workout quantities between each workstation • Buffer at each operation will be minimum • Error proofing • Helps regulate customer dispatches • Helps you decide the rhythm of the line (2000/day) • Takt Time is therefore , also called Pace Setter & is fundamental to understanding of VSM Improvements with VSM Current state Future state VA - Sec 40 36 Lead Time - Days 27 8 Over Production - Nos 19000 (Step 1&2) 4000 Customer Dispatches - Nos 14000 (Once a week) 2000 (Daily) Can be further reduced if batch qty is proportion ately reduced - leading to Single pc flow
  • 15. Cellular Manufacturing (CM) • Manufacturing or assembly set up wherein equipment and workstations are arranged in a single area that allows a product or group of similar products to be processed completely from start to finish. • It allows continuous and smooth movement of inventories and materials to produce – products from start to finish in a single process flow, while incurring – minimal transport or waiting time, or any delay for that matter. • CM is an important ingredient of lean manufacturing • It is a self-contained mini-production line that caters to a group of products that undergo the same production process.
  • 16. 5’S’ – A Quality Improvement tool • Needs to be driven by none other than the CEO/Unit head • 5S is 1st step towards becoming world class • Process includes identifying and eliminating operational wastes which dent our profits and reflect our performance negatively in front of our customers • A neat & orderly workplace helps in identifying wastes • It is the first step towards implementing any new Improvement Initiative. Lean , TPM , SMED , Kaizen , Kanban …
  • 17. 6S of Productivity Improvement Step 1 Seiri - Sort Step 2 Step 3 Step 4 Step 5 Seiton – Set-in-order Seiso - Shine Seiketsu - Standardize Shitsuke - Sustain Step 6 Anzen - Safety Sudharna Sajaana Saaf karna Saaf rakhna Suniyojit Rahna Surakshit Rahna
  • 18. PEEP Items Very rarely used Long intervals between use Frequently used RunnersRepeatersStrangers
  • 19. Material at Eye level Five principles of storage for “One Touch Pick Up” and space optimization
  • 20. CLIT - When to do it? (Clean , Lubricate , Inspect , Tighten) • C L I T is NOT one-time cleaning. • C L I T has to be done repeatedly, according to a schedule. • It should never be done ONLY when there is free time. (You are welcome to do it during free time ALSO). • Production Planning must keep time aside for Initial Cleaning. • Ideally, keep 1 to 2 hours a week ( Min 5min each at start and before end of each shift).
  • 21. Employee Involvement - Approach • Train employees to collect meaningful data (free from error of measurement) • Develop permanent solutions using appropriate problem solving tools • Keep records of the process performance , update them continuously and use them on continuous basis. • Train employees in the methods of SPC and other quality improvement tools for improving quality
  • 22. 1 SORT Organize Clearly distinguish needed items from un-needed items & eliminate the latter This is the condition We need to support after we Maintain the first 3 pillars 4 Standardize consistent approach 2 SET IN ORDER Orderliness Keep needed items in the correct place to allow easy & Immediate retrieval 3 SHINE Cleanliness Keep the work place swept & clean 5 SUSTAIN - Discipline Make a habit of maintaining Established procedures with Continuous Improvement 5 ‘S’ Of Work place organization The 6th ‘S’ Safety
  • 23. Potential Benefits of implementing 5 ‘S’ Summary 1. Reduce Wastage 2. Reduce Defects 3. Reduce Energy 4. Reduce Floor space 5. Help Implement FIFO 6. Helps to show case our products to visitors & maintain competitive edge
  • 24. TPM - Total Productive Maintenance 1. Combines the traditional practice of Preventive maintenance with 2. Total Quality Control and Total Employee Involvement to 3. Create a culture where operators develop ownership of their equipment to assure equipment operates properly everyday 4. TPM is led by mfg & not maintenance 5. Before starting a TPM prog , ensure that the maintenance store’s service level is + 95% 6. Secure the commitment of senior mgt from the start
  • 25. OEE = Availability * Performance * Quality Yield Time available for production - downtime Time available for production Performance :: Speed Loss Performance = Actual output rate Std Output rate Quality Yield :: Quality Loss Total no. of parts produced – Defects Total No.of parts produced Availability :: Downtime loss
  • 26. O3. Quality losses: • 12. Scrap product / output • 13. Defects, rework • 14. Low yields Major causes for low OEE
  • 27. • Get Tool “B” from Tool stores • Get RM "B" from RM stores • Get necessary hand tools •Awaiting Sample approval from QC •Re-Adjustments .Transfer Tool B on the press . Clamp Tool B . Adjust Tool . Place bins for good matl & scrap . Set Air Ejection
  • 28. 11 14 4 4 10 12 19 6 9 5 16 10 0 5 10 15 20 •Re-Adjustments. •Awaiting Sample approval from QC •Set Air Ejection •Place bins for good matl & scrap •Heat tool 120 to 150c B •Heat tool to 120c A •Get RM "B" from RM stores •Adjust Tool •Clamp Tool B •Get necessary hand tools •Transfer Tool B on the press •Get Tool “B” from Tool stores Revised Internal T 5 4 3 10 2 1 25 N/C
  • 30. How does reduction in C/o time benefit the organization ( 2hrs to 25 min ) 1. Improves OEE …………… Availability factor 2. Can now cater to More Clients 3. Helps to run Small batch sizes leading to reduced working capital • Reduces Inventory (RM , Components , WIP & FG) 4. Adds to flexibility in the operations 5. Reduces the through put time / Lead time 6. Improves productivity 7. Reduces Mura
  • 31. SMED 3 Golden rules • Do not mind deploying additional manpower to do a change over • Record change over every time and create a visual display • Run change over competitions frequently
  • 32. Gemba Place where you create value for your customers • Place where it actually happens ( Place of action) • Gemba refers to the place where value is created; in manufacturing the gemba is the factory floor. • It can be any "site" such as a construction site, sales floor or where the service provider interacts directly with the customer. • Gemba is the place where the problems are visible, and the best improvement ideas will come from going to the gemba. • Solutions designed away may not get acceptability • Rather than hear or read , visit Gemba , experience the situation FIRST hand - • ( doctor : D Patient : Ch) Also means “reality” or even truth
  • 33. Types of Inspection • Sampling plan • 100% Inspection • Based on theory of probability • Depending on the degree of criticality a suitable plan is selected for each item • The plan is pro Manufacturer as Customer may get still get a defect • Builds customer’s ( External or Internal ) confidence in your product • Product is made to withstand any use with the help of Pokayoke & work standardization
  • 34. Type of Errors 1. Forgetfulness 2. Processing error : Process operation missed or not performed as per SOP 3. Setup error : Using the wrong tooling or setting , machine adjustment 4. Missing part : Not all parts included in the assembly, welding, or other processes as per BOM 5. Improper part / item : Wrong part / hardware used in the process 6. Operations error : Carrying out an operation incorrectly; having the incorrect version of the specification 7. Measurement error : Errors in measurement or dimensions at incoming stage 8. Error made by Amateurs 9. Intentional Error : Sabotage / Crime How do we arrest these Errors
  • 35. PokaYoke • Japanese words "poka" (mistake) and "yoke" (prevent) was invented by Shigeo Shingo in the 1960s. • He struggled with statistical tools to find solutions to the day to day quality issue • The essential idea of poka-yoke is to design your process so that .. - mistakes are impossible or - at least easily detected and corrected. • Primarily designed for error proofing of Quality issue , later extended to Safety for Accident prevention
  • 36. Andon 1. It is a quality tool which applies following principles: -Detects Abnormality -Stops -Flags for human attention Andon Yellow for 15 Min , converts to RED if un- attended Limit Switch - alarm 2. Transfers Human intelligence to Automated machinery 3. Prevents production of defective products
  • 37. Problem Solving requires • Careful action plan leading to measurable & sustainable Goals • Thorough analysis of process • Careful consideration of various options • The inverse of a problem is an opportunity So, treat Problem as an Opportunity "Opportunities are Like Sunrises, If You Wait Too Long You Can Miss Them".
  • 38. Principles of Continuous Improvement 1. The customer's needs are critical and ever demanding 2. Anything can be improved - All processes, products, and services can be made better through Continuous Improvement approach (CIP). 3. Quality is everyone's job - To leave any Partner out of the process is to miss an opportunity to improve. 4. The person doing the job knows it best – Involve the direct Workmen 5. People deserve respect - People do their best when they feel good about themselves and their contributions 6. Teamwork works - People working together accomplish more than they would working alone.
  • 39. Working Capital Cycle Cash Inventory FG Purchase of Raw Matl Receivables/ Collection 1 months 1 Months 2 Months Production 0.5 MonthSell 1 W/C Cycle ?? No of Cycles/ Yr = 2.4 Target …… = 5 Months FLOW : movement between value adding processes without delay or interruption 0.5 Month
  • 40. Balance Sheet model of a Firm Current Assets -Receivables -Inventories Current Liabilities or Short Term Debt-Payables Fixed Assets 1.Tangible Fixed Assets (M/c ,Equipments ,Land) 2.Intangible Assets ( Patents, Trade mark, Quality of Management) Long Term Debt Shareholder’s equity Assets Liabilities
  • 41. Working Capital Ratio (Current Ratio) = Current Assets / Current Liabilities < 1 indicates > 2 means that the W/C ratio between 1.2 and 2.0 is ideal Quick Ratio = (Total Current assets-Inventory)/ Total Current Liabilities negative W/C (working capital) company is not investing excess assets. Current ratio helps you to understand the health of an organization at a glance
  • 42. Types of Inventories • Cycle Stock • In-Process Stock • Safety Stock • Seasonal Stock - SOS • Promotional Stock • Speculative Stock • Dead Stock
  • 43. How much to Order Order Quantity (Nos) CostinRs Annual Ordering Cost Inventory Carrying Cost Total Cost Lowest total cost EOQ Point at which both Ann Ordering Cost & ICC equal 1200200 800400 600 1000 300 600 1500 1800 MRP output Push Inventory plan
  • 44. A – Annual requirement P – Unit rate Q – EOQ B – Cost of processing an Order I – ICC % Ann Ordering Cost = Inv Holding Cost = For EOQ :: A Q * B = Q 2 * P * I 100  Q = 2∗ A∗ B∗100 P ∗ I EOQ 𝐴 𝑄 * B Q 2 * P *
  • 45. Order Point (ROL) Replenishment Lead time Time Qty 1 2 Expected demand thru’ replenishment Lead time + 2. Safety stock EOQ Re-order level Fresh Replenishment ( Point at which the fresh Order must be released ) When should this replenishment be ordered ? = 1. Matl Consumption
  • 46. Kanban Triggering Cycle Upper bin full Lower bin full Both bins full Empty Under use Full Full Empty Empty Full Kanban card triggered Full for use Empty awaiting Repleni- shmentUnder use Cycle Stock =Avg Daily * LT Buffer ROL Kanban Pull Inventory plan
  • 47. Inventory Stock Plan with Kanban • ROL = ADR * LT + SS SS = ADR * (Max LT – Avg LT) or SS = ( 6 * SD + ADR ) * (Max LT - Avg LT) • Points to be considered while deciding SS Service level Forecast errors Delivery failures Supplier’s location
  • 48. Benefits of Kanban 1. Controls Inventory & its accuracy 2. Improves ‘5S’ with labeled bins & shelves 3. Reduces shortages due to 2 Separate bins. Empty bin gives signal for refill as against MRP system. 4. Reduces material handling . Dedicated location ensures easier material handling 5. Increases flexibility : Any model of product any time as all items are stocked under the Kanban system 6. Provides robustness to material planning to take care of any sudden peaks & dips 7. Self Regulative :: Adjusts with change in demand 8. Easy to Maintain :: Addition / Deletion of items 9. Compatible with any Material planning system MRP , ERP , Excel etc
  • 49. The Just-in-Time Consumer 1. When economy sank in 2008 , Rebecca Seabern realized she had Lasanga – 2Yrs stock Paper towels – 1yr stock 2. “ I have stopped purchasing things, just to have them on hand “ , preferring to make bigger mortgage payments instead 3. The recession has changed shoppers to The just-in-Time consumer 4. For decades Americans bought big , bought more & stocked up , confident that bulk shopping provided the best value & discounts.
  • 50. Bad inventory decisions can kill an organization's profitability 1. The more inventory, – not feel pain, – the worse you can operate , and so on – – the vicious cycle that increases costs and eventually kills businesses. 2. Use (REDUCE) inventory as a strategic weapon for boosting EVA to give your organization a competitive advantage
  • 51. Cost of Quality Cost of Quality Cost of good quality Cost of poor quality = +
  • 52. Cost of Quality Management vs Cost of servicing defects Low Quality High LowCostHigh Total cost of Quality Minimum cost of Quality Cost of Service defects Optimum level of Service Quality Where you want to be Cost of Quality Management 96% 97% 98% 99.99%
  • 53. Six Sigma • Every mistake an organization or person makes ultimately has a cost, – the need to do a certain task over again, – the part that has to be replaced, – time or material wasted • You consume additional resources to correct a problem before it's delivered to the customer • Six Sigma is a scientific problem solving tool for – meeting your customer's needs (Time , speed , Quality ) – minimizing wasted resources (Errors , rework , Hidden factory , variations +/-) – maximizing profit in the process ,thru’ disciplined data collection and analysis to determine best solutions
  • 54. Six Sigma - objective • Man-kind accepts all creations of God , Black –White , Short-tall , fat-slim with all distortions / discrepancies , but .... • When it comes to creations of another man-kind the same men don’t accept any variation be it color , aesthetics , size , weight etc • Primary objective of Six Sigma is therefore to – “do it right the first time” FPY (FTR) , and – “do the right things right” SOP • To ensure consistency of output in terms of both Quality and Quantity • Hence a need to minimize the process output variations
  • 55. Process variation 1. Any process , be it manufacturing, delivering services, conducting transactions, there is always a distribution of performance around a target. 2. Normally this distribution takes on the shape called the normal distribution, and is also known as the bell curve. 3. The shape of the normal distribution curve is symmetrical about the central line, with 4. just as much area under the curve to the left as on the right. Target CTX Performance Variation 3σ 3σ
  • 56. Quality and grade • Quality is different from grade ( PF Gr 2 , 3 :: SMC 512/20, 536/30 etc) : Tensile strength : 550 , 1000 Kg/cm sq ( Two different Means X1 , X2 ) • Quality is performance within +/- 3σ , while grade is different X • Focus is on aiming for the target • In Six Sigma, important characteristics are referred to as CTXs, where the • C stands for "critical," the T stands for "to," and the X represents what the characteristic is linked to: quality, cost, time, and so on. • For example, a critical-to-quality characteristic would be called a CTQ.
  • 57. Performance Specifications 1. Performance specification limits help to define, measure, analyze, improve, and control quality. 2. Quality is defined by conformance to standards or specifications. 3. When you operate or perform within the specification limits, you have quality. 4. When you fall outside the limits, you have defects. 5. In Six Sigma , Quality is defined as getting close to the target with the least amount of variation 6. Every characteristic that can be measured has a performance distribution. Lower Spec limit Upper Spec limit CTX Performance Specifications Target
  • 58. Process Variation 1. Basically, variation is deviation from expectation. 2. Variation creates uncertainty in our ability to produce a desired outcome 3. Some variations- within limits - might be okay. 4. A little too much variation here or there, and you might have some repairs or rework on your hands. And too much altogether, and you're either out of a job or out of business. 5. The measurement, analysis, and control of variation is a central theme of Six Sigma. 6. Reduction of unwanted variation is the key to achieving Six Sigma improvements 7. If you measure the occurrence of something many times, it's going to vary around some average or mean value. 8. A process’s output normally varies between +/- 3σ 9. The mean is the central tendency of your process
  • 59. Common Cause variation • Some variation is just natural; It is simply part of the normal course of events. – Tossing of coin , dice – Arrival of bus / flight – time between waves at the beach – Tree height – processing a credit card application • This type of variation is called common-cause variation • You can act to reduce common cause variation, but you can't eliminate it. It's natural, and it's part of every system. • It's in there and it's not going away
  • 60. The basics of a Six Sigma project 1. When a particular problem is selected to become a potential Six Sigma project, it goes through a critical transformation : i. Practical business problem ii. Statistical problem iii. Statistical solution iv. Practical solution. 2. By stating the problem in statistical language, you ensure that you will use data, and only data, to solve it. 3. This forces you to abandon gut feelings, intuition, and best guesses to address your problems Practical Problem Statistical Problem Statistical Solution Practical Solution Results
  • 61. Aligning VOC to VOP 1. Start by assessing the higher level needs of your organization using knowledge obtained from – The voice of the customer (VOC) and – The voice of the business (VOB). 2. The VOC is all the needs and expectations your customers have , for your products and services. 3. The VOB represents all the needs and expectations of the business. 4. Align VOC & VOB to VOP.
  • 62. FTY Yield = (352 – 103)/ 352 = 70.7% = FTY & The Hidden Factory The Hidden factory is due to The inability to correctly comply with required specifications the first time The hidden factory of in-process inspection and rework accounts for 98.6% - 70.7% = 27.9% Hidden Factory103 98.6% The extra efforts put to get these 98nos. accepted is HIDDEN FACTORY 352 347
  • 63. The Hidden factory The hidden factory is work that is done above and beyond what is required to produce a product or a service..... Work that gets ingrained into the organization when you don’t ask "Why are we doing this, since this is not adding any value?“ "That's the way we have always done it." If you have heard this, you probably have a hidden operation. Finding the hidden operation and quantifying its effect helps you further understand potential level of improvement when writing the objective statement. Opr i Verification Opr i+1 Analysis Off-line repair Scrap Fix ? Yes No If problem
  • 64. Standard Deviation • The standard deviation-(σ) is by far the most commonly used measure of dispersion The long and short of variation • In fact, for any selected short period of time, the process generally varies within the same rough limits – This natural level of variation is called the short-term (St)variation • This short-term variation is purely random • It is caused by the combined effect of all the little things that are too hard to include in your understanding of the process and is therefore also called Common cause or random variation, short-term variation.
  • 65. Process Entitlement 1. This hard wall in the improvement path is called Entitlement (variation you can expect from a process under the best conditions ) of the process or 2. Random variation or ST variation 3. Short-term, or entitlement, variation is used to compare the capability of different processes to meet a specified goal
  • 66. Histogram or Probability curve 1. Pictures of data helps you understand the process 2. These pictures - called graphs or plots - are definitely better than numbers at communicating your data to others. 3. Using visual material to communicate data is best way of getting every one’s involvement 4. Plotting and charting data help you project i. the central tendency and ii. the spread of variation (uniform or skewed) 5. One of the best tool used to project both these characteristics is called Histogram . 6. Bucket or Bin size selected should provide for 10 to 20 equal divisions between the largest and the smallest observed values. A Picture’s worth a thousand words
  • 67. Product specification and its importance 1. Before the 1800s, all products were manufactured one at a time by craftsmen 2. A revolution was ignited when specialists were engaged to separately create each of the components of a product. 3. Each focused on a smaller area 4. It was in this environment of economic revolution that specifications were born. 5. Each specification represents what the customer requires in order to be satisfied.
  • 68. The traditional and the Six Sigma views on specifications and the costs caused by poor qualityCostcausedbypoorquality Characteristic scale of measure LSL USLTarget Under Six Sigma Traditional method ‘a hit or miss’ Losses keep growing as you move away from the target Known as Taguchi loss curve Task of Six Sigma is to understand how well the VOP meets the VOC
  • 69. Meeting Six Sigma standards • The basic aim of Six Sigma is to ensure processes give first time right output leading to consistent performance with variations between +/- 3σ • Most of the output of a process generally meets the specifications(CTQ-X) , except few , who deviate to varying extent , measured by standard deviation (σ) • So some units may have – X +/- 1σ , some – X +/- 2σ ,and some – X +/-3σ specifications
  • 70. Target 5.0 +/- 0.20 +1σ = 0.20-1σ USL 5.20 LSL 4.80 2σ Performance =30.8%Rej Std. Deviation Perf =0.4/0.20 = 2σ Specs width Filling of 5 +/- 0.2 gm Eye drop bottle Performance = Specification Width/Process σ
  • 71. 2 approaches to Improvement DMAIC DFSS • Six Sigma offers two approaches for improvement 1. Improve the process so that chances of defects are reduced ,ie reduce the standard deviation DMAIC 2. Change the design (DFSS) so that product can accommodate process variations
  • 72. Higher Process Sigma – lower Rejection • A low process sigma means that a significant part of the tail of the distribution is extending past the specification limit. More defects. • So the higher the process sigma , the fewer the defects 1. 2σ = 30.8% Rej 2. 3σ = 6.68% Rej 3. 3.4σ = 3% Rej 4. 4σ = 0.62% Rej 5. 5σ = 0.0223% Rej 6. 6σ = 0.0003% Rej } Most of Indian Industries are here This is the journey we have to undertake
  • 73. Simulation model Statistically it is proven that shifting the process's St distribution closer to its SL by a distance of 1.5 times its ST std. dev. would almost cover the defects occurring in the long term. These results can be applied directly to the calculation of short-term and long-term sigma (Z ) scores. 1.5σST SL
  • 74. The Seven QC tools 1. Check Sheets 2. Pareto charts 3. Histograms 4. Cause and effect diagrams 5. Scatter diagrams 6. Control Charts 7. Graphs Identifying Prioritizing Analyzing Communicating These tools are divided in to 4 broad categories
  • 75. Scatter diagram 1. Histogram plots only one distribution (characteristic) at a time . Often one needs to explore the relationship between two characteristics . 2. Scatter plot helps to understand the relationship between two characteristics 3. You need to capture measurements for the two characteristics simultaneously 4. The two characteristics can be an input and the other can be an output (X , Y) or can be two inputs (X1, X2 ..) 5. The relationship could be : – Positive Correlation – Negative correlation – Positive or negative correlation possibility – No Correlation
  • 76. Pareto Chart 1. It’s a type of bar chart where bars ( representing various causes) are arranged in descending order of height starting at left 2. Basically Pareto chart helps u identify, Vital few causes that should be worked on first , to improve any problem eg 3. Vital few (20%) of items responsible for 80% of Inventory 4. Vital few (20% ) responsible for 80% of customer complaints etc (If quality defects are arranged in order of frequency of occurrence, few of these defects account for bulk of defectives) 5. It basically helps u to organize your efforts in solving the vital few which contribute for majority of problems 6. Pareto charts help to improve efficiency , material waste , energy conservation , safety Issues , cost reduction etc
  • 77. Pareto Chart Stratification of “Quality” category 710 290 210 150 40 0 200 400 600 800 1000 1200 1400 Stale Burned Undercooked Slicing Other Stratification of the Quality category shows “Stale” and “ Burned” as the major causes of poor quality The team decided to use Cause and effect tool for further analysis of the problem
  • 78. Control • A solution that isn’t sustained over the long term has little value • Control charts are two-dimensional graph plotting the – performance of a process on Y axis, and – time or the sequence of data samples on X axis. • They are basically a type of Run chart with control limits Why Control chart – It shows nature of variation in the process over time – Helps in detecting changes in the process – Helps in controlling the process • Specs : USL/LSL vs UCL/LCL – CONTROL is also capability , 𝐂 𝐩 - Process Capability
  • 79. Control Charts Background • Dr Shewhart in1920 observed that every process exhibits some degree of variation • Since no two things can be produced exactly alike , variation is natural and should be expected • He defined that if a measurement falls within plus or minus three standard deviations of its average, it is considered “expected” behavior for the process. • This is known as common cause variation • He observed two types of variations in any process
  • 80. Variable Control Charts • Variable Control charts are used to monitor measurable quality characteristics of a process eg Temperature , dimension , weight , viscosity etc • Variable charts can monitor only one quality characteristic at a time . • For more than one characteristic, a chart for each characteristic needs to be created • Variable Control charts help to monitor both process mean and process variability • Hence it becomes necessary to use minimum 2 control charts to study the process. Ie – Range or Std Deviation – Process mean , with UCL & LCL
  • 81. Variable ( Continuous) data Control chart Summary Control Chart Sub-group size (n) Control limits Average and Standard deviation X , R 2-10 UCL = X + A2 R LCL = X - A2 R Range R 2-10 UCL = D4 * R LCL = D3 * R Average and Standard deviation X , S >10 UCL = B4 S LCL = B3 S Individuals and moving range MR - Range - X 1 UCL = D4 ∗ MR LCL = D3 ∗ MR UCL = X + 3 MR d2 LCL = X − 3 MR d2
  • 82. Control Charts for Attributes • Whenever it is difficult to take numerical measurement the quality is judged either conforming / non-conforming - Defectives based on attributes( Np and p charts) : – Leaks / does not leak , No. of counts scratches , holes , dents etc . • Attribute data can have two values , such as pass/fail present/absent etc ie data which can be counted. • It can also be no. of non-conformities (defects) that appear on a unit ( No of dents , a/c opening form , scratches , holes etc) : C & U charts : • The inspection doesn’t require spl trained people as no measurements are involved .
  • 83. P Chart ( Control chart for fraction non-conforming) • ‘P’ stands for proportion • Measures the proportion of non-conforming units in a group of units being inspected. • P chart is the most versatile and widely used attribute chart • It can be used for following purposes. – To determine the avg. proportion (or fraction) of non- conforming units over a given time – To signal a change in the avg. fraction non-conforming – To identify out-of-control points that call for immediate action – To suggest places to implement X and R charts • Np chart is used when analyzing only one type of defect
  • 84. 1. Not every performance indicator can be a KPI ! 2. Just because some particular indicator is easy to measure it should not become a KPI .Doing so dilutes your focus on what's truly important , wastes time 3. KPIs should reflect what your CEO expects from you 4. KPIs should contribute towards meeting his goals 5. "K" in KPI stands for "key," meaning "important" – not just to you, but to your CEO. So, report true KPI's, not mere PI's! KPIs He wants to know :
  • 85. He wants to know: 1. How do these KPI's directly reflect contribution to the profitability of this organization? 2. How do these KPI's directly reflect contribution to the satisfaction of our customers? 3. How do these KPI's directly reflect contribution to the advantage we would have over our competitors? 4. How do these KPI's directly reflect contribution to the operational efficiency of this organization? KPIs (contd)
  • 86. Our other Training Programs In-company as well as Open prog. • Enhance Productivity & Inventory turns thru Principles and Applications of Lean Manufacturing – 2days • Vendor Management & Development - 1day • Un-lock Working capital thru Effective Inventory Management - 1day • World class Mfg - 3 days • SCM – 1day • 5S & Visual Control Management - 1day • Material & Inventory Management - 1day • Materials – A profit centre - 2days
  • 87. The Times of India March 3.2009 oath by LEAD INDIA ‘09 I swear that this time I will stand up. This time I will vote.  Against my own helplessness.  Against my own laziness.  Against the belief that nothing will change.  Against short cuts.  Against two words called ‘Chalta Hai’