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International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 52 - 57
_______________________________________________________________________________________________
52
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
A Case Study on Reducing in Lead Time by Using Value Stream Mapping
Krunal Makwana1
, Shubham Awasthi 2
1
PG Student, Production Technology (Mechanical),Parul Institute of Technology
Parul University,krunalmakwana@outlook.com
2
Asst. Professor , Production Technology (Mechanical),Parul Institute of Technology
Parul University ,shubham.awasthi@paruluniversity.ac.in
Abstract: In the competitive and economic market, Industries needs shorter lead time, low cost and high customer demand satisfaction. So such
industries face cost reduction and efficiency challenges. To sustain and stabilize market industries have to find out ways to reduce production
time, cost and elimination of waste to improve operating performance and product quality. Value stream mapping technique maps material flow,
information flow, activities and other process elements that are part of supply chain. The visual picture simplifies lean approach by identifying
the value-added and non-value added stages. The primary objective of this study is to increase the productivity against the demand. The Quality
related issue regarding material & material shortage online is not in the scope of this study. A value stream means working on the big picture,
not a just individual process; and not a just optimization but an actual improvement. It covers value adding as well as non-value-adding activities
his research shows benefit associated with the implementation of the lean program. This case study shows a manufacturing industry case study.
Keywords: Production lead time, Value stream mapping, Nonvalue-added time
__________________________________________________*****_________________________________________________
1. INTRODUCTION
Lean manufacturing is a philosophy derived from
the Toyota Production System (TPS). TPS is base on waste
elimination. Which beliefs in customer satisfaction through
continuous improvement (Womack et al. 1990, 1996)[1].
The research study was carried out in a manufacturing
industry. The objective is to matching supply and demand of
in-house production. For this, to know supply chain losses
or nonvalue-added activities is necessary.
•To explore the Current State Map by collecting the
data from the shop floor
•To identify the problems faced by the company
regarding Non-Value Added time and minimize the waste.
•To propose Future State Value Map which can
reduce Production lead time, increase the Value added time
and reduce non-value added time.
2. VSM METHODOLOGY
Fig.1. VSM Methodology
i. Identifying product family: To focus on one
particular item for improvement.
ii. Drawing current state value map: It includes all
VA, NVA, NNVA activities. We can bring CVSM
according to past data and customer feedback.
iii. Drawing future state value map: By Continuous
analyzing and brainstorming we can draw our targeted
VSM.
iv. Work plan: Using lean tools (kanban, supply
chain management, poka-yoke, MRP.etc) we have to plan a
best promising way to achieve the goal. There are some
standard symbols used in VSM drawing for easy
understanding.
v. Implementation and Measure benefits: Last step
is about the implementing of techniques and measuring
benefits achieved from them. [2]
Thus the cycle of VSM will not stop after
implementation of FVSM, it will become CVSM for next
project, and continuous improvement process will be carried
out.t).
International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 52 - 57
_______________________________________________________________________________________________
53
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
3. GENERAL OVERVIEW OF LITERATURE
REVIEW
Gokulraju R, Vigneshwar K [3] has suggested to reduce lead
time and increase the throughput of a high-pressure gate
valve production line through the use of value stream map.
By implementing line balancing, 5S and ergonomics the
highest performance potential of the manufacturing system
can be achieved.Vikram M. Patil, S. G. Bhatwadekar[1] has
applied lean tools, various gap areas in the current state were
linked in order to prepare future state map. Lean tools such
as TAKT Time Calculation, First In First Out,
Transportation elimination and Continuous Flow were used
for waste reduction.By controlling WIP inventory fewer
than 66% and reducing production lead time by 3 days 4.2
hr in the time span of a quarter year, we can say VSM is the
effective way to control the inventory and reduce lead time
by modifications in the existing manufacturing conditions.
Jafri Mohd Rohania, Seyed Mojib Zahraeea [4] by applying
some lean manufacturing techniques such as 5S, Kanban
method, Kaizen and so on Production Lead-time (PLT)
decreased from 8.5 days to 6 days, and the value added time
reduced from 68 minutes to 37 minutes. Manjunath M.[5]
"In this paper current state and future state is drawn off a
manufacturing firm and observed that reduction of 38.2
percent in lead time, process time reduction by 2.65percent,
and 48.3 percent reduction in inventory.Cycle time can be
reduced from 93minutes to 67 minutes with the help of
changing nonlinear workstation to conveyor workstation. It
can be seen that the process inventory is reduced from 31 to
16 units. The lead time is reduced from 63.82Hrs to 39.43
Hrs, process time from 16.93Hrs to 16.48Hrs. Anupam
Sihag, Vinod Kumar[6] Lean production means continuous
improvement, by keep on changing the future state into the
current situation will get the better results. In this study
process by changing layout inventory time reduced from 3
to 1 days resulting in improvement of 33.33%. Process lead
time was reduced by 52.94% and the processing time was
reduced by 80.69%.
4. CASE STUDY
An electrical component manufacturing industry selected as
a case study in this paper. Since the layout of the factory is
base on fix system. As conducted one analysis, we found
out that the in-house production components have
bottlenecks. Moreover, parts have to be transferred from
machine to machine for completion of the operations. This
situation causes a decrease in labor productivity and
increases material handling cost. Therefore, these causes
delay of orders, lower quality, less labor productivity, more
waiting times, larger Work in progress (WIP), longer
material movement. To these problems, it is necessary to
identify the key areas, which are producing wastes, and
determining the bottleneck operations in supply chain. The
following information is related to production line: The
following information is related to production line: working
shift per day; coating shop=1, Brazing Shop= 3, Press shop
= 3, store= 1.5, cleaning= 1. Daily available time= 480 pcs,
working hour per shift= 480min, lunch brake= 40min, other
allowances= 20 min, Down time= 0 min.
CSM
Whole information about the present state map was gathered
based on the method suggested by Rother and Shook. In the
issue of the material flow, data collection began in the
distribution section, first cycle times (CTs) of the process,
the quantity of employees working, and convert times or
change-over time(CO). Figure 1 demonstrated the present
position map which was drawn. In this figure, the map’s
small boxes describe the progression, and the number of the
boxes is some workers in every process. Also, every process
has a data box under that includes the CT process, the
numeral of shifts, machine reliability (MR), and the CO
time. All of the processing and installing times are
according to the middling of past data. The timeline in the
underside of the present situation map is shown in Figure 1
that there are two elements. The first element is about the
waiting time of production in days which is gained by
adding the number of lead-time from every inventory
triangle earlier than every process. Therefore, the time of
each inventory triangle is computed by separating the
inventory numbers into the everyday customer needs. The
totality lead time is approximately 1.02 days. The CT for
every process is the average CT that was found out by using
real data in the company. From the below data collected, we
have identified areas for development to reduce the
throughput time of Process. The current state process and
related value stream mapping of as shown in Table 1 and
Figures 2.
International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 52 - 57
_______________________________________________________________________________________________
54
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
Table 1. Process Activities with Time
Calculations of CSM ratio:
Percentage of NVA Time=Total NVA time in seconds/Total
processing time in seconds × 100
=88260/88508 × 100
=99.7194%
Percentage of VA Time=Total VA time in seconds/Total
processing time in seconds × 100
=248/88508 × 100
=0.2806%
VSM Ratio=VA / (VA+NVA)
=0.2814 %
Lead Time = VA+NVA
= 1.02 Days
• Lean implementation through kaizen and development of
FSM
Kaizen shows a lead role in improving the productivity and
quality of the products. Kaizen is a strategy to include
concepts, systems, and tools within the bigger picture of
leadership involving people and their culture all driven by
the customer. The brainstorming analysis of VSM revealed
the following major NVA identified as operator’s movement
and their skill, poor process, delay in material transfer and
cooling time for which the proposed lean solutions are
suggested as follows. Table 2 and Figures 7 and 8.
International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 52 - 57
_______________________________________________________________________________________________
55
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
Table 2. Proposed Solution
Station Task Involved NVA
Activities
Proposed
solution
Expected out
come(Time
Saving)
Expected out
come(Distance
saving)
Manpower
Saving
Counting Physical counting
of raw material
Counting Standard
Binning
20 sec 0 0
Cleaning Brazing to
Cleaning Shop
Long Distance
movement
Movement Cleaning will be
done in brazing
shop
0 400 m 0
Cleaning Brazing to
Cleaning Shop
Long Distance
movement
Movement Cleaning will be
done in brazing
shop
0 400 m 0
Dot
marking
Identity mark Over
Processing
Die
modification
10 sec 5 m 1
Sizing Burr removal due
to material
variability
Over
Processing
Die
modification
13 sec 5 m 1
Fig.3Graphical Representation of expected outcomes
Fig.4 Graphical Representation of Manpower and Distance saving
Counting Blanking
Semi
Piercing
Cleaning
Button
Brazing
Cleaning
U
Bending
Sizing
Z
Bending
Marking Coating Packing
Befor 60 6 12 15 49 15 8 13 10 10 67 7
After 40 6 12 15 49 15 8 0 10 0 67 7
60
6
12
15
49
15
8
13
10
10
67
7
40
6
12
15
49
15
8
0
10
0
67
7
TIME(SEC)
OPERATIONS
Befor After
12
10
9
10
11
12
13
Manpower
Manpower
Befor After
International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 52 - 57
_______________________________________________________________________________________________
56
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
Fig.5 Future State Map
Calculations of FSM ratio:
Percentage of NVA Time=Total NVA time in seconds/Total
processing time in seconds × 100
= 68460.0/68662.3 × 100
=99.705%
Percentage of VA Time=Total VA time in seconds/Total
processing time in seconds × 100
=202/68662.3 × 100
=0.2947%
VSM Ratio=VA / (VA+NVA)
=0.2956 %
Lead Time = VA+NVA
= 0.79 Days
5. CONCLUSION
By performing the technical suitability, economical
justifications and feasibility analysis, we have suggested the
recommendations of these tools to induct for the medium
scale enterprises confidently. In this study process by
changing flow of inventory will reduce in movement from
400m to 5m resulting in improvement of 98.75%. By
modification of tool dot marking and sizing i.e. manual
International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169
Volume: 5 Issue: 6 52 - 57
_______________________________________________________________________________________________
57
IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue)
_______________________________________________________________________________________
operation will be eliminated and WIP inventory will also
reduced. So, by these 2 man power has been removed and
3.5 hours saved. VSM future state map shows significant
improvement in the production lead time 1.02 days to 0.79
days, Which demonstrate that any delay can be analysed
through value stream mapping.
REFERENCES
[1] S. Bhatwadekar, S. Ghodawat, and S. Bhatwadekar,
“Application of Value Stream Mapping for Lead Time
Reduction and Inventory Control,” no. July, 2015.
[2] “Mike Rother, John Shook-Learning to See_ Value Stream
Mapping to Add Value and Eliminate MUDA-Lean
Enterprise Institute (1999).pdf.” .
[3] R. Gokulraju, K. Vigneshwar, and V. Vignesh, “A Case
Study on Reducing the Lead Time and Increasing
Throughput by using Value Stream Mapping,” pp. 411–
424, 2016.
[4] J. Mohd and S. Mojib, “Production line analysis via value
stream mapping : a lean manufacturing process of color
industry,” Procedia Manuf., vol. 2, no. February, pp. 6–10,
2015.
[5] V. Issue, “Value Stream Mapping as a Tool for Lean
Implementation : A Case Study Abstract :,” vol. 3, no. 5,
pp. 477–481, 2014.
[6] “APPLICATION OF VALUE STREAM MAPPING IN,”
vol. 3, no. 3, 2014.

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A Case Study on Reducing in Lead Time by Using Value Stream Mapping

  • 1. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 52 - 57 _______________________________________________________________________________________________ 52 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ A Case Study on Reducing in Lead Time by Using Value Stream Mapping Krunal Makwana1 , Shubham Awasthi 2 1 PG Student, Production Technology (Mechanical),Parul Institute of Technology Parul University,krunalmakwana@outlook.com 2 Asst. Professor , Production Technology (Mechanical),Parul Institute of Technology Parul University ,shubham.awasthi@paruluniversity.ac.in Abstract: In the competitive and economic market, Industries needs shorter lead time, low cost and high customer demand satisfaction. So such industries face cost reduction and efficiency challenges. To sustain and stabilize market industries have to find out ways to reduce production time, cost and elimination of waste to improve operating performance and product quality. Value stream mapping technique maps material flow, information flow, activities and other process elements that are part of supply chain. The visual picture simplifies lean approach by identifying the value-added and non-value added stages. The primary objective of this study is to increase the productivity against the demand. The Quality related issue regarding material & material shortage online is not in the scope of this study. A value stream means working on the big picture, not a just individual process; and not a just optimization but an actual improvement. It covers value adding as well as non-value-adding activities his research shows benefit associated with the implementation of the lean program. This case study shows a manufacturing industry case study. Keywords: Production lead time, Value stream mapping, Nonvalue-added time __________________________________________________*****_________________________________________________ 1. INTRODUCTION Lean manufacturing is a philosophy derived from the Toyota Production System (TPS). TPS is base on waste elimination. Which beliefs in customer satisfaction through continuous improvement (Womack et al. 1990, 1996)[1]. The research study was carried out in a manufacturing industry. The objective is to matching supply and demand of in-house production. For this, to know supply chain losses or nonvalue-added activities is necessary. •To explore the Current State Map by collecting the data from the shop floor •To identify the problems faced by the company regarding Non-Value Added time and minimize the waste. •To propose Future State Value Map which can reduce Production lead time, increase the Value added time and reduce non-value added time. 2. VSM METHODOLOGY Fig.1. VSM Methodology i. Identifying product family: To focus on one particular item for improvement. ii. Drawing current state value map: It includes all VA, NVA, NNVA activities. We can bring CVSM according to past data and customer feedback. iii. Drawing future state value map: By Continuous analyzing and brainstorming we can draw our targeted VSM. iv. Work plan: Using lean tools (kanban, supply chain management, poka-yoke, MRP.etc) we have to plan a best promising way to achieve the goal. There are some standard symbols used in VSM drawing for easy understanding. v. Implementation and Measure benefits: Last step is about the implementing of techniques and measuring benefits achieved from them. [2] Thus the cycle of VSM will not stop after implementation of FVSM, it will become CVSM for next project, and continuous improvement process will be carried out.t).
  • 2. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 52 - 57 _______________________________________________________________________________________________ 53 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ 3. GENERAL OVERVIEW OF LITERATURE REVIEW Gokulraju R, Vigneshwar K [3] has suggested to reduce lead time and increase the throughput of a high-pressure gate valve production line through the use of value stream map. By implementing line balancing, 5S and ergonomics the highest performance potential of the manufacturing system can be achieved.Vikram M. Patil, S. G. Bhatwadekar[1] has applied lean tools, various gap areas in the current state were linked in order to prepare future state map. Lean tools such as TAKT Time Calculation, First In First Out, Transportation elimination and Continuous Flow were used for waste reduction.By controlling WIP inventory fewer than 66% and reducing production lead time by 3 days 4.2 hr in the time span of a quarter year, we can say VSM is the effective way to control the inventory and reduce lead time by modifications in the existing manufacturing conditions. Jafri Mohd Rohania, Seyed Mojib Zahraeea [4] by applying some lean manufacturing techniques such as 5S, Kanban method, Kaizen and so on Production Lead-time (PLT) decreased from 8.5 days to 6 days, and the value added time reduced from 68 minutes to 37 minutes. Manjunath M.[5] "In this paper current state and future state is drawn off a manufacturing firm and observed that reduction of 38.2 percent in lead time, process time reduction by 2.65percent, and 48.3 percent reduction in inventory.Cycle time can be reduced from 93minutes to 67 minutes with the help of changing nonlinear workstation to conveyor workstation. It can be seen that the process inventory is reduced from 31 to 16 units. The lead time is reduced from 63.82Hrs to 39.43 Hrs, process time from 16.93Hrs to 16.48Hrs. Anupam Sihag, Vinod Kumar[6] Lean production means continuous improvement, by keep on changing the future state into the current situation will get the better results. In this study process by changing layout inventory time reduced from 3 to 1 days resulting in improvement of 33.33%. Process lead time was reduced by 52.94% and the processing time was reduced by 80.69%. 4. CASE STUDY An electrical component manufacturing industry selected as a case study in this paper. Since the layout of the factory is base on fix system. As conducted one analysis, we found out that the in-house production components have bottlenecks. Moreover, parts have to be transferred from machine to machine for completion of the operations. This situation causes a decrease in labor productivity and increases material handling cost. Therefore, these causes delay of orders, lower quality, less labor productivity, more waiting times, larger Work in progress (WIP), longer material movement. To these problems, it is necessary to identify the key areas, which are producing wastes, and determining the bottleneck operations in supply chain. The following information is related to production line: The following information is related to production line: working shift per day; coating shop=1, Brazing Shop= 3, Press shop = 3, store= 1.5, cleaning= 1. Daily available time= 480 pcs, working hour per shift= 480min, lunch brake= 40min, other allowances= 20 min, Down time= 0 min. CSM Whole information about the present state map was gathered based on the method suggested by Rother and Shook. In the issue of the material flow, data collection began in the distribution section, first cycle times (CTs) of the process, the quantity of employees working, and convert times or change-over time(CO). Figure 1 demonstrated the present position map which was drawn. In this figure, the map’s small boxes describe the progression, and the number of the boxes is some workers in every process. Also, every process has a data box under that includes the CT process, the numeral of shifts, machine reliability (MR), and the CO time. All of the processing and installing times are according to the middling of past data. The timeline in the underside of the present situation map is shown in Figure 1 that there are two elements. The first element is about the waiting time of production in days which is gained by adding the number of lead-time from every inventory triangle earlier than every process. Therefore, the time of each inventory triangle is computed by separating the inventory numbers into the everyday customer needs. The totality lead time is approximately 1.02 days. The CT for every process is the average CT that was found out by using real data in the company. From the below data collected, we have identified areas for development to reduce the throughput time of Process. The current state process and related value stream mapping of as shown in Table 1 and Figures 2.
  • 3. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 52 - 57 _______________________________________________________________________________________________ 54 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ Table 1. Process Activities with Time Calculations of CSM ratio: Percentage of NVA Time=Total NVA time in seconds/Total processing time in seconds × 100 =88260/88508 × 100 =99.7194% Percentage of VA Time=Total VA time in seconds/Total processing time in seconds × 100 =248/88508 × 100 =0.2806% VSM Ratio=VA / (VA+NVA) =0.2814 % Lead Time = VA+NVA = 1.02 Days • Lean implementation through kaizen and development of FSM Kaizen shows a lead role in improving the productivity and quality of the products. Kaizen is a strategy to include concepts, systems, and tools within the bigger picture of leadership involving people and their culture all driven by the customer. The brainstorming analysis of VSM revealed the following major NVA identified as operator’s movement and their skill, poor process, delay in material transfer and cooling time for which the proposed lean solutions are suggested as follows. Table 2 and Figures 7 and 8.
  • 4. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 52 - 57 _______________________________________________________________________________________________ 55 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ Table 2. Proposed Solution Station Task Involved NVA Activities Proposed solution Expected out come(Time Saving) Expected out come(Distance saving) Manpower Saving Counting Physical counting of raw material Counting Standard Binning 20 sec 0 0 Cleaning Brazing to Cleaning Shop Long Distance movement Movement Cleaning will be done in brazing shop 0 400 m 0 Cleaning Brazing to Cleaning Shop Long Distance movement Movement Cleaning will be done in brazing shop 0 400 m 0 Dot marking Identity mark Over Processing Die modification 10 sec 5 m 1 Sizing Burr removal due to material variability Over Processing Die modification 13 sec 5 m 1 Fig.3Graphical Representation of expected outcomes Fig.4 Graphical Representation of Manpower and Distance saving Counting Blanking Semi Piercing Cleaning Button Brazing Cleaning U Bending Sizing Z Bending Marking Coating Packing Befor 60 6 12 15 49 15 8 13 10 10 67 7 After 40 6 12 15 49 15 8 0 10 0 67 7 60 6 12 15 49 15 8 13 10 10 67 7 40 6 12 15 49 15 8 0 10 0 67 7 TIME(SEC) OPERATIONS Befor After 12 10 9 10 11 12 13 Manpower Manpower Befor After
  • 5. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 52 - 57 _______________________________________________________________________________________________ 56 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ Fig.5 Future State Map Calculations of FSM ratio: Percentage of NVA Time=Total NVA time in seconds/Total processing time in seconds × 100 = 68460.0/68662.3 × 100 =99.705% Percentage of VA Time=Total VA time in seconds/Total processing time in seconds × 100 =202/68662.3 × 100 =0.2947% VSM Ratio=VA / (VA+NVA) =0.2956 % Lead Time = VA+NVA = 0.79 Days 5. CONCLUSION By performing the technical suitability, economical justifications and feasibility analysis, we have suggested the recommendations of these tools to induct for the medium scale enterprises confidently. In this study process by changing flow of inventory will reduce in movement from 400m to 5m resulting in improvement of 98.75%. By modification of tool dot marking and sizing i.e. manual
  • 6. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017) ISSN: 2321-8169 Volume: 5 Issue: 6 52 - 57 _______________________________________________________________________________________________ 57 IJRITCC | June 2017, Available @ http://www.ijritcc.org (Special Issue) _______________________________________________________________________________________ operation will be eliminated and WIP inventory will also reduced. So, by these 2 man power has been removed and 3.5 hours saved. VSM future state map shows significant improvement in the production lead time 1.02 days to 0.79 days, Which demonstrate that any delay can be analysed through value stream mapping. REFERENCES [1] S. Bhatwadekar, S. Ghodawat, and S. Bhatwadekar, “Application of Value Stream Mapping for Lead Time Reduction and Inventory Control,” no. July, 2015. [2] “Mike Rother, John Shook-Learning to See_ Value Stream Mapping to Add Value and Eliminate MUDA-Lean Enterprise Institute (1999).pdf.” . [3] R. Gokulraju, K. Vigneshwar, and V. Vignesh, “A Case Study on Reducing the Lead Time and Increasing Throughput by using Value Stream Mapping,” pp. 411– 424, 2016. [4] J. Mohd and S. Mojib, “Production line analysis via value stream mapping : a lean manufacturing process of color industry,” Procedia Manuf., vol. 2, no. February, pp. 6–10, 2015. [5] V. Issue, “Value Stream Mapping as a Tool for Lean Implementation : A Case Study Abstract :,” vol. 3, no. 5, pp. 477–481, 2014. [6] “APPLICATION OF VALUE STREAM MAPPING IN,” vol. 3, no. 3, 2014.