SlideShare ist ein Scribd-Unternehmen logo
1 von 36
The results of work sampling are effective for
determining machine and personnel
utilization, allowances applicable to the job and
production standards. Although, the same information
can be obtained by time study procedures, work
sampling frequently provides the same information faster
and at considerably less cost. (Niebels, 2007)
Stated by Niebel (2007)
The accuracy of data determined by work sampling depends on the
number of observations and the period over which the random
observations are taken.
The analyst should design an observation form to record the data to be
gathered during the work sampling study.
A standard form is usually not acceptable, since each work sampling
study is unique from the standpoint of the total observations needed, the
random times that observations are made, and the information being
sought.
In approaching the work area, the analyst must not
anticipate the expected recording. (Niebel,2007)
If the operator to be studied is idle, the analyst
must also determine the reason for idleness and
mark this on the form (Niebel,2007)
Individual factors that affect performance: gender,
age, handedness, fitness and trainings (Miller &
Freivalds, 1987).
The control chart techniques used in statistical quality
control work can readily be applied to work sampling studies
to identify problem areas and be used to show the
progressive improvement of work areas. (Niebel,2007)
The control chart, according to Deming (1988) is a means
of visualizing the variations that occur in the central
tendency and dispersion of a set of observations. It also
made use of a control limits that evaluate the variations
in quality from subgroup to subgroup.
Natural variation is the result of chance causes that
requires management intervention to achieve quality
improvement.
Unnatural variation is the result of assignable causes
requires corrective action by people close to the process such as
operators, clerks and any other workers
Assignable causes these can be readily identified and
predictable.
Chance causes these are random causes that are inevitable,
difficult to detect and identify.
Assignable Cause
Present
Chance Cause
Present
The control chart techniques used in statistical quality
control work can readily be applied to work sampling
studies to identify problem areas and be used to show
the progressive improvement of work areas.
(Niebel,2007)
The control chart, according to Deming (1988) is a
means of visualizing the variations that occur in the
central tendency and dispersion of a set of observations.
It is very important to take note of the
subgroup size.
As it increases, the control limits
become closer to the central value,
which makes the control chart more
sensitive to small variations in the process
average (Deming, 1988).
The service sector provides a special challenge to the accurate
measurement of productivity and productivity improvement. It is
difficult to improve because of the following factors: (Heizer and
Render, 2011)
Labor intensive
Frequently focused on unique individual attributes or desire
Often an intellectual task performed by professionals
Often difficult to mechanize and automate
Often difficult to evaluate for quality
To create a customer value in an efficient and sustainable way is an
idea of a competitive advantage. (Heizer and Render,2011)
The proponents made a preliminary work sampling of 30
observations in which the result of idle percentage was used
for another work sampling activity. The new number of
observations was obtained through the used of nomogram.
The proponents also made thorough research in constructing
a work sampling form and the process of work sampling
method.
Quantitative approach is being used in gathering and
analyzing the data. Only one person is being considered as
the subject of the study. The control chart was constructed
as to the details of per random times and per day
performance. In which, the out-of-control conditions gathered
were the bases for generating recommendations for
improvement.
1.How economical is the use of work sampling in determining the
following:
1.1 Working time
1.2 Idle time
1.3 Standard time
2. What are the problems or causes for the non – productive occurences
of the worker?
3. What are the possible recommendations that will improve the
productive occurrence of the worker?
This study will deal accordingly to answer the following questions:
La-Fortuna Bakery, Inc.
• Name of the company
Carmen Sy
• Owner
Marfe Ancit
• Cashier/ all-around
• 200 per day –wage
12,000php – 15,000php
• Estimated sales per day on regular basis
Information Data for 6 Days
Total Time Expended by
Operator
(Working time and Idle time)
282 min
Working time in percent 58%
Total Number of Times Working 3600 times (6 days)
Idle time in percent 42%
Average Performance index 37.1%
Total Allowances 15%
Standard
time
(Total time in min.)x(Working time in%)x(Performance Index in %)
Total number of times working
Allowancex
=
(282 x 0.58 x 3.71) ( 100 )
3600 (100 – 15)
0.20 min = 12 sec.
x=
=
Control limits p = p +3 √p(1-p) / n
N = 282 observations
n = total number of obs. = 282= 47
number of days studied 6
p = No. of “idle” obs.= 118= 0.42
total no. of obs. 282
CL for p = 0.42+3√(0.42 x 0.58) / 47
= 0.42 +0.22
UCL = 0.64
LCL = 0.20
Date of Study
Total Number of
Obs.
Number of Obs.
“Idle”
% of Day
“Idle”
March 8 47 17 0.36 = 36%
March 9 47 22 0.47 = 47%
March 12 47 24 0.51 = 51%
March 13 47 16
.
0.34 = 34%
March 14 47 20 0.43 = 43%
March 15 47 16 0.34 = 34%
0.64
0.52
0.42
0.32
0.20
8-Mar 9-Mar 12-Mar 13-Mar 14-Mar 15-Mar
percentoccurence
Obs. No %non-prod. Obs. No. %non-prod. Obs. %non-prod.
1 17% 17 33% 33 33%
2 17% 18 17% 34 17%
3 17% 19 0% 35 33%
4 17% 20 17% 36 33%
5 17% 21 50% 37 33%
6 17% 22 50% 38 50%
7 17% 23 67% 39 33%
8 50% 24 33% 40 100%
9 83% 25 67% 41 83%
10 67% 26 50% 42 50%
11 67% 27 17% 43 17%
12 50% 28 33% 44 67%
13 67% 29 50% 45 33%
14 50% 30 100% 46 33%
15 50% 31 67% 47 33%
1.04
1.02
1.00
0.98
0.96
0.94
0.92
0.90
0.88
0.86
0.84
0.82
0.80
0.78
0.76
0.74
0.72
0.70
0.68
0.66
UCL 0.64
0.62
0.60
0.58
0.56
0.54
0.52
0.50
0.48
0.46
0.44
CL p 0.42
0.40
0.38
0.36
0.34
0.32
0.30
0.28
0.26
0.24
0.22
LCL 0.20
0.18
0.16
0.14
0.12
0.10
0.08
0.06
0.04
0.02
0.00
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
Percetageoccurence
Observation Nos.
0
5
10
15
20
25
30
35
40
45
50
Productive Occurrence
Occurrence
0
5
10
15
20
25
30
35
40
45
Non-Productive Occurrence
Occurrence
Working time and Idle time almost got a closer
result with 58% and 42% respectively.
Based from the types of out-of-control condition:
Trend or steady change in level --worker’s
performance is affected due to boredom and
inattention
Change or jump in level --there was an
unintentional change or minor failure made by the
worker such as being late and going home
(emergency cases). When it comes to service, the
co-worker is still attending the customer’s needs
or questions, and the worker (subject) would have
to wait.
Recurring Cycle – idleness take most between 8 am – 10:30
am and 3pm downwards. Working time takes most when it’s
mid-afternoon or the students are taking their lunch. Seasonal
effects or peak hours cannot be avoided and so, this affect the
condition of the worker’s performance.
Two populations – there is a large differences in the test
method or the random times being used. There are times when
the observation took place (1 min.) after the previous
observation, and the next observation will be done after 5
minutes or more. This affects the condition in such a way that
the result becomes bias.
Mistakes – this can be very embarrassing but there could
be a mistake in recording the data. In a case, where the
analyst have to assign other students to take records of the
data, yet that student doesn’t have a background of work
sampling and is careless with the random times, or
anticipate the recording of data.
The points outside the control limits showed that there
were chance causes present, such as going home for an
emergency and the peak hour of students for taking a
dinner or meal.
Natural Variation – the management has to facilitate the
performance of the worker when it comes to being late
Assignable cause – although the plotted points where
located inside the control limits there are still unnatural
variation that is to be considered, such as the service or
product that they offer. Most of their products (foods) are
identical with the other food shop in the canteen, the
management then, has to offer a new product.
Work sampling can provide information about the productive and
non – productive occurrence of the worker. However, it does not
provide a complete information about the method used by the
worker.
The behavior of the worker could also affect the data recorded
especially when the observations are made too obvious of the
worker and there is a shifting of performance.
Work sampling tends to average and generalize the results. The variations
of the results then will only lead to an inappropriate analyzation of the
problems.
The control chart helps determine the percentage occurrence of the non-
productive work per random times given. However, when it is measured
per day, there has to be a sample size per random times or subgroup.
That resulted to a generalization of the work for a single subject only, not
applicable for other workers present in the workplace.
The following recommendations are to
be implemented:
 set – up the determined standard time
Produce a new product or menu to
improve marketing service
Facilitate the performance and
behavior of the worker when it comes to
being late
Increase the wage payment from 200
php to 305php in accordance to the
labor code, to satisfy the workers
performance and job security.
Groover, M. (2007).Work Systems and the Methods, Measurement, and Management of
Work. Pearson Education, Inc. New Jersey
Denton, K. (1982). Safety Management, Improving Performance. Mc-Graw Hill Book
Company. New York
Deming, E. (1988). Quality Control Handbook. Mc-Graw Hill Book Company. New York
Freivalds, A. and Niebel, B. (2009). Niebel’s Methods, Standards, and Work Design.
New York: Mc-Graw Hill Companies, Inc.
THE
END
最後に

Weitere ähnliche Inhalte

Was ist angesagt?

Simulation Project in ARENA
Simulation Project in ARENASimulation Project in ARENA
Simulation Project in ARENA
Aditya Nakate
 
Work Study: Method Study & Work Measurement
Work Study: Method Study & Work MeasurementWork Study: Method Study & Work Measurement
Work Study: Method Study & Work Measurement
Harinadh Karimikonda
 
Analysis of questionnaire answers
Analysis of questionnaire answersAnalysis of questionnaire answers
Analysis of questionnaire answers
Sean Walters
 

Was ist angesagt? (20)

Simulation Project in ARENA
Simulation Project in ARENASimulation Project in ARENA
Simulation Project in ARENA
 
Time study part 2
Time study part 2Time study part 2
Time study part 2
 
Work Study
Work StudyWork Study
Work Study
 
Work sampling and structured estimating
Work sampling and structured estimatingWork sampling and structured estimating
Work sampling and structured estimating
 
Work measurement
Work measurementWork measurement
Work measurement
 
Line balancing
Line balancingLine balancing
Line balancing
 
Assembly Line Balancing
Assembly Line BalancingAssembly Line Balancing
Assembly Line Balancing
 
Work Study Part- I
Work Study Part- IWork Study Part- I
Work Study Part- I
 
Measurment techniques
Measurment techniquesMeasurment techniques
Measurment techniques
 
AGGREGATE PRODUCTION PLANNING
AGGREGATE PRODUCTION PLANNING AGGREGATE PRODUCTION PLANNING
AGGREGATE PRODUCTION PLANNING
 
Work study method study-work measurement
Work study method study-work measurementWork study method study-work measurement
Work study method study-work measurement
 
Work measurement
Work measurementWork measurement
Work measurement
 
Unit2 montecarlosimulation
Unit2 montecarlosimulationUnit2 montecarlosimulation
Unit2 montecarlosimulation
 
Method study
Method studyMethod study
Method study
 
Acceptance sampling
Acceptance samplingAcceptance sampling
Acceptance sampling
 
Simulation with Arena (Dental Clinic project)
Simulation with Arena (Dental Clinic project)Simulation with Arena (Dental Clinic project)
Simulation with Arena (Dental Clinic project)
 
Work Study: Method Study & Work Measurement
Work Study: Method Study & Work MeasurementWork Study: Method Study & Work Measurement
Work Study: Method Study & Work Measurement
 
Line balancing
Line balancingLine balancing
Line balancing
 
Cellular manufacturing
Cellular manufacturingCellular manufacturing
Cellular manufacturing
 
Analysis of questionnaire answers
Analysis of questionnaire answersAnalysis of questionnaire answers
Analysis of questionnaire answers
 

Ähnlich wie Worksampling - Methods Engineering

Industrial egineering
Industrial egineeringIndustrial egineering
Industrial egineering
Rajeev Sharan
 
Certified Specialist Business Intelligence (.docx
Certified     Specialist     Business  Intelligence     (.docxCertified     Specialist     Business  Intelligence     (.docx
Certified Specialist Business Intelligence (.docx
durantheseldine
 

Ähnlich wie Worksampling - Methods Engineering (20)

Work sampling
Work samplingWork sampling
Work sampling
 
DesignPeopleSystem
DesignPeopleSystemDesignPeopleSystem
DesignPeopleSystem
 
Work study work measurement
Work study   work measurementWork study   work measurement
Work study work measurement
 
Ch11
Ch11Ch11
Ch11
 
Work measurement
Work measurementWork measurement
Work measurement
 
Industrial egineering
Industrial egineeringIndustrial egineering
Industrial egineering
 
CH-7 Design.ppt
CH-7 Design.pptCH-7 Design.ppt
CH-7 Design.ppt
 
Work motion study
Work motion studyWork motion study
Work motion study
 
Work Study & Productivity
Work Study & ProductivityWork Study & Productivity
Work Study & Productivity
 
Work Study & Productivity
Work Study & ProductivityWork Study & Productivity
Work Study & Productivity
 
Measurement System Analysis
Measurement System AnalysisMeasurement System Analysis
Measurement System Analysis
 
Improving the productivity_and_introducing_the_work_study
Improving the productivity_and_introducing_the_work_studyImproving the productivity_and_introducing_the_work_study
Improving the productivity_and_introducing_the_work_study
 
First Step In Increasing Productivity: Work Sampling
First Step In Increasing Productivity: Work SamplingFirst Step In Increasing Productivity: Work Sampling
First Step In Increasing Productivity: Work Sampling
 
Certified Specialist Business Intelligence (.docx
Certified     Specialist     Business  Intelligence     (.docxCertified     Specialist     Business  Intelligence     (.docx
Certified Specialist Business Intelligence (.docx
 
module 3 OM.ppt
module 3 OM.pptmodule 3 OM.ppt
module 3 OM.ppt
 
Work study and productivity index
Work study and productivity indexWork study and productivity index
Work study and productivity index
 
Analysis of sewing section efficiency by time study technique in apparel indu...
Analysis of sewing section efficiency by time study technique in apparel indu...Analysis of sewing section efficiency by time study technique in apparel indu...
Analysis of sewing section efficiency by time study technique in apparel indu...
 
Kỹ thuật thống kê-SPC
Kỹ thuật thống kê-SPCKỹ thuật thống kê-SPC
Kỹ thuật thống kê-SPC
 
Work design & measurement
Work design & measurementWork design & measurement
Work design & measurement
 
Work Study- Methods Study
Work Study- Methods StudyWork Study- Methods Study
Work Study- Methods Study
 

Mehr von Angelica Angelo Ocon

Toy ship assembly - Methods Engineering
Toy ship assembly - Methods EngineeringToy ship assembly - Methods Engineering
Toy ship assembly - Methods Engineering
Angelica Angelo Ocon
 
Toy pig assembly - Methods Engineering
Toy pig assembly - Methods EngineeringToy pig assembly - Methods Engineering
Toy pig assembly - Methods Engineering
Angelica Angelo Ocon
 
Operations chart gift wrapping - Methods Engineering
Operations chart  gift wrapping - Methods EngineeringOperations chart  gift wrapping - Methods Engineering
Operations chart gift wrapping - Methods Engineering
Angelica Angelo Ocon
 
Lego blocks assembly - Methods Engineering
Lego blocks assembly - Methods EngineeringLego blocks assembly - Methods Engineering
Lego blocks assembly - Methods Engineering
Angelica Angelo Ocon
 
Flashlight assembly - Methods Engineering
Flashlight assembly - Methods EngineeringFlashlight assembly - Methods Engineering
Flashlight assembly - Methods Engineering
Angelica Angelo Ocon
 
Strategic management case study on creating a learning
Strategic management case study on creating a learningStrategic management case study on creating a learning
Strategic management case study on creating a learning
Angelica Angelo Ocon
 
Strategic management case study on creating a learning (2)
Strategic management case study on creating a learning (2)Strategic management case study on creating a learning (2)
Strategic management case study on creating a learning (2)
Angelica Angelo Ocon
 
International Strategy: Creating Value in Global Markets
International Strategy: Creating Value in Global MarketsInternational Strategy: Creating Value in Global Markets
International Strategy: Creating Value in Global Markets
Angelica Angelo Ocon
 
International Strategy: Creating Value in Global Markets
International Strategy: Creating Value in Global MarketsInternational Strategy: Creating Value in Global Markets
International Strategy: Creating Value in Global Markets
Angelica Angelo Ocon
 

Mehr von Angelica Angelo Ocon (20)

IT Infrastructure and Platforms
IT Infrastructure and PlatformsIT Infrastructure and Platforms
IT Infrastructure and Platforms
 
Toy ship assembly - Methods Engineering
Toy ship assembly - Methods EngineeringToy ship assembly - Methods Engineering
Toy ship assembly - Methods Engineering
 
Toy pig assembly - Methods Engineering
Toy pig assembly - Methods EngineeringToy pig assembly - Methods Engineering
Toy pig assembly - Methods Engineering
 
Ralph m. barnes
Ralph m. barnesRalph m. barnes
Ralph m. barnes
 
Process chart and flow diagram
Process chart  and flow diagramProcess chart  and flow diagram
Process chart and flow diagram
 
Operations chart gift wrapping - Methods Engineering
Operations chart  gift wrapping - Methods EngineeringOperations chart  gift wrapping - Methods Engineering
Operations chart gift wrapping - Methods Engineering
 
Lego blocks assembly - Methods Engineering
Lego blocks assembly - Methods EngineeringLego blocks assembly - Methods Engineering
Lego blocks assembly - Methods Engineering
 
Flashlight assembly - Methods Engineering
Flashlight assembly - Methods EngineeringFlashlight assembly - Methods Engineering
Flashlight assembly - Methods Engineering
 
Supply chain of bread
Supply chain  of breadSupply chain  of bread
Supply chain of bread
 
Supply chain of paraffin
Supply chain of paraffinSupply chain of paraffin
Supply chain of paraffin
 
Supply chain of flour
Supply chain of flourSupply chain of flour
Supply chain of flour
 
Supply chain of dairy
Supply chain of dairySupply chain of dairy
Supply chain of dairy
 
Supply chain of winery
Supply chain of winerySupply chain of winery
Supply chain of winery
 
Supply chain of paper
Supply chain of paperSupply chain of paper
Supply chain of paper
 
Supply chain of lechon
Supply chain of lechonSupply chain of lechon
Supply chain of lechon
 
The internet and e commerce
The internet and e commerceThe internet and e commerce
The internet and e commerce
 
Strategic management case study on creating a learning
Strategic management case study on creating a learningStrategic management case study on creating a learning
Strategic management case study on creating a learning
 
Strategic management case study on creating a learning (2)
Strategic management case study on creating a learning (2)Strategic management case study on creating a learning (2)
Strategic management case study on creating a learning (2)
 
International Strategy: Creating Value in Global Markets
International Strategy: Creating Value in Global MarketsInternational Strategy: Creating Value in Global Markets
International Strategy: Creating Value in Global Markets
 
International Strategy: Creating Value in Global Markets
International Strategy: Creating Value in Global MarketsInternational Strategy: Creating Value in Global Markets
International Strategy: Creating Value in Global Markets
 

Kürzlich hochgeladen

Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂EscortCall Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
dlhescort
 
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
daisycvs
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
dollysharma2066
 
Chandigarh Escorts Service 📞8868886958📞 Just📲 Call Nihal Chandigarh Call Girl...
Chandigarh Escorts Service 📞8868886958📞 Just📲 Call Nihal Chandigarh Call Girl...Chandigarh Escorts Service 📞8868886958📞 Just📲 Call Nihal Chandigarh Call Girl...
Chandigarh Escorts Service 📞8868886958📞 Just📲 Call Nihal Chandigarh Call Girl...
Sheetaleventcompany
 
unwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabi
unwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabiunwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabi
unwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabi
Abortion pills in Kuwait Cytotec pills in Kuwait
 
Call Now ☎️🔝 9332606886🔝 Call Girls ❤ Service In Bhilwara Female Escorts Serv...
Call Now ☎️🔝 9332606886🔝 Call Girls ❤ Service In Bhilwara Female Escorts Serv...Call Now ☎️🔝 9332606886🔝 Call Girls ❤ Service In Bhilwara Female Escorts Serv...
Call Now ☎️🔝 9332606886🔝 Call Girls ❤ Service In Bhilwara Female Escorts Serv...
Anamikakaur10
 
Russian Call Girls In Rajiv Chowk Gurgaon ❤️8448577510 ⊹Best Escorts Service ...
Russian Call Girls In Rajiv Chowk Gurgaon ❤️8448577510 ⊹Best Escorts Service ...Russian Call Girls In Rajiv Chowk Gurgaon ❤️8448577510 ⊹Best Escorts Service ...
Russian Call Girls In Rajiv Chowk Gurgaon ❤️8448577510 ⊹Best Escorts Service ...
lizamodels9
 
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service NoidaCall Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
dlhescort
 

Kürzlich hochgeladen (20)

Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂EscortCall Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
 
Cracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxCracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptx
 
How to Get Started in Social Media for Art League City
How to Get Started in Social Media for Art League CityHow to Get Started in Social Media for Art League City
How to Get Started in Social Media for Art League City
 
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
Quick Doctor In Kuwait +2773`7758`557 Kuwait Doha Qatar Dubai Abu Dhabi Sharj...
 
Famous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st CenturyFamous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st Century
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
 
Phases of Negotiation .pptx
 Phases of Negotiation .pptx Phases of Negotiation .pptx
Phases of Negotiation .pptx
 
Chandigarh Escorts Service 📞8868886958📞 Just📲 Call Nihal Chandigarh Call Girl...
Chandigarh Escorts Service 📞8868886958📞 Just📲 Call Nihal Chandigarh Call Girl...Chandigarh Escorts Service 📞8868886958📞 Just📲 Call Nihal Chandigarh Call Girl...
Chandigarh Escorts Service 📞8868886958📞 Just📲 Call Nihal Chandigarh Call Girl...
 
Lundin Gold - Q1 2024 Conference Call Presentation (Revised)
Lundin Gold - Q1 2024 Conference Call Presentation (Revised)Lundin Gold - Q1 2024 Conference Call Presentation (Revised)
Lundin Gold - Q1 2024 Conference Call Presentation (Revised)
 
unwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabi
unwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabiunwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabi
unwanted pregnancy Kit [+918133066128] Abortion Pills IN Dubai UAE Abudhabi
 
Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...
Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...
Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...
 
Falcon Invoice Discounting: Unlock Your Business Potential
Falcon Invoice Discounting: Unlock Your Business PotentialFalcon Invoice Discounting: Unlock Your Business Potential
Falcon Invoice Discounting: Unlock Your Business Potential
 
Call Now ☎️🔝 9332606886🔝 Call Girls ❤ Service In Bhilwara Female Escorts Serv...
Call Now ☎️🔝 9332606886🔝 Call Girls ❤ Service In Bhilwara Female Escorts Serv...Call Now ☎️🔝 9332606886🔝 Call Girls ❤ Service In Bhilwara Female Escorts Serv...
Call Now ☎️🔝 9332606886🔝 Call Girls ❤ Service In Bhilwara Female Escorts Serv...
 
PHX May 2024 Corporate Presentation Final
PHX May 2024 Corporate Presentation FinalPHX May 2024 Corporate Presentation Final
PHX May 2024 Corporate Presentation Final
 
Uneak White's Personal Brand Exploration Presentation
Uneak White's Personal Brand Exploration PresentationUneak White's Personal Brand Exploration Presentation
Uneak White's Personal Brand Exploration Presentation
 
Dr. Admir Softic_ presentation_Green Club_ENG.pdf
Dr. Admir Softic_ presentation_Green Club_ENG.pdfDr. Admir Softic_ presentation_Green Club_ENG.pdf
Dr. Admir Softic_ presentation_Green Club_ENG.pdf
 
Russian Call Girls In Rajiv Chowk Gurgaon ❤️8448577510 ⊹Best Escorts Service ...
Russian Call Girls In Rajiv Chowk Gurgaon ❤️8448577510 ⊹Best Escorts Service ...Russian Call Girls In Rajiv Chowk Gurgaon ❤️8448577510 ⊹Best Escorts Service ...
Russian Call Girls In Rajiv Chowk Gurgaon ❤️8448577510 ⊹Best Escorts Service ...
 
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service NoidaCall Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
 
Call Girls Ludhiana Just Call 98765-12871 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 98765-12871 Top Class Call Girl Service AvailableCall Girls Ludhiana Just Call 98765-12871 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 98765-12871 Top Class Call Girl Service Available
 
Falcon Invoice Discounting: Empowering Your Business Growth
Falcon Invoice Discounting: Empowering Your Business GrowthFalcon Invoice Discounting: Empowering Your Business Growth
Falcon Invoice Discounting: Empowering Your Business Growth
 

Worksampling - Methods Engineering

  • 1.
  • 2. The results of work sampling are effective for determining machine and personnel utilization, allowances applicable to the job and production standards. Although, the same information can be obtained by time study procedures, work sampling frequently provides the same information faster and at considerably less cost. (Niebels, 2007)
  • 3. Stated by Niebel (2007) The accuracy of data determined by work sampling depends on the number of observations and the period over which the random observations are taken. The analyst should design an observation form to record the data to be gathered during the work sampling study. A standard form is usually not acceptable, since each work sampling study is unique from the standpoint of the total observations needed, the random times that observations are made, and the information being sought.
  • 4. In approaching the work area, the analyst must not anticipate the expected recording. (Niebel,2007) If the operator to be studied is idle, the analyst must also determine the reason for idleness and mark this on the form (Niebel,2007) Individual factors that affect performance: gender, age, handedness, fitness and trainings (Miller & Freivalds, 1987).
  • 5. The control chart techniques used in statistical quality control work can readily be applied to work sampling studies to identify problem areas and be used to show the progressive improvement of work areas. (Niebel,2007) The control chart, according to Deming (1988) is a means of visualizing the variations that occur in the central tendency and dispersion of a set of observations. It also made use of a control limits that evaluate the variations in quality from subgroup to subgroup.
  • 6. Natural variation is the result of chance causes that requires management intervention to achieve quality improvement. Unnatural variation is the result of assignable causes requires corrective action by people close to the process such as operators, clerks and any other workers Assignable causes these can be readily identified and predictable. Chance causes these are random causes that are inevitable, difficult to detect and identify.
  • 8. The control chart techniques used in statistical quality control work can readily be applied to work sampling studies to identify problem areas and be used to show the progressive improvement of work areas. (Niebel,2007) The control chart, according to Deming (1988) is a means of visualizing the variations that occur in the central tendency and dispersion of a set of observations.
  • 9. It is very important to take note of the subgroup size. As it increases, the control limits become closer to the central value, which makes the control chart more sensitive to small variations in the process average (Deming, 1988).
  • 10. The service sector provides a special challenge to the accurate measurement of productivity and productivity improvement. It is difficult to improve because of the following factors: (Heizer and Render, 2011) Labor intensive Frequently focused on unique individual attributes or desire Often an intellectual task performed by professionals Often difficult to mechanize and automate Often difficult to evaluate for quality To create a customer value in an efficient and sustainable way is an idea of a competitive advantage. (Heizer and Render,2011)
  • 11. The proponents made a preliminary work sampling of 30 observations in which the result of idle percentage was used for another work sampling activity. The new number of observations was obtained through the used of nomogram. The proponents also made thorough research in constructing a work sampling form and the process of work sampling method.
  • 12. Quantitative approach is being used in gathering and analyzing the data. Only one person is being considered as the subject of the study. The control chart was constructed as to the details of per random times and per day performance. In which, the out-of-control conditions gathered were the bases for generating recommendations for improvement.
  • 13. 1.How economical is the use of work sampling in determining the following: 1.1 Working time 1.2 Idle time 1.3 Standard time 2. What are the problems or causes for the non – productive occurences of the worker? 3. What are the possible recommendations that will improve the productive occurrence of the worker? This study will deal accordingly to answer the following questions:
  • 14.
  • 15. La-Fortuna Bakery, Inc. • Name of the company Carmen Sy • Owner Marfe Ancit • Cashier/ all-around • 200 per day –wage 12,000php – 15,000php • Estimated sales per day on regular basis
  • 16.
  • 17. Information Data for 6 Days Total Time Expended by Operator (Working time and Idle time) 282 min Working time in percent 58% Total Number of Times Working 3600 times (6 days) Idle time in percent 42% Average Performance index 37.1% Total Allowances 15%
  • 18. Standard time (Total time in min.)x(Working time in%)x(Performance Index in %) Total number of times working Allowancex = (282 x 0.58 x 3.71) ( 100 ) 3600 (100 – 15) 0.20 min = 12 sec. x= =
  • 19. Control limits p = p +3 √p(1-p) / n N = 282 observations n = total number of obs. = 282= 47 number of days studied 6 p = No. of “idle” obs.= 118= 0.42 total no. of obs. 282
  • 20. CL for p = 0.42+3√(0.42 x 0.58) / 47 = 0.42 +0.22 UCL = 0.64 LCL = 0.20
  • 21. Date of Study Total Number of Obs. Number of Obs. “Idle” % of Day “Idle” March 8 47 17 0.36 = 36% March 9 47 22 0.47 = 47% March 12 47 24 0.51 = 51% March 13 47 16 . 0.34 = 34% March 14 47 20 0.43 = 43% March 15 47 16 0.34 = 34%
  • 22. 0.64 0.52 0.42 0.32 0.20 8-Mar 9-Mar 12-Mar 13-Mar 14-Mar 15-Mar percentoccurence
  • 23. Obs. No %non-prod. Obs. No. %non-prod. Obs. %non-prod. 1 17% 17 33% 33 33% 2 17% 18 17% 34 17% 3 17% 19 0% 35 33% 4 17% 20 17% 36 33% 5 17% 21 50% 37 33% 6 17% 22 50% 38 50% 7 17% 23 67% 39 33% 8 50% 24 33% 40 100% 9 83% 25 67% 41 83% 10 67% 26 50% 42 50% 11 67% 27 17% 43 17% 12 50% 28 33% 44 67% 13 67% 29 50% 45 33% 14 50% 30 100% 46 33% 15 50% 31 67% 47 33%
  • 24. 1.04 1.02 1.00 0.98 0.96 0.94 0.92 0.90 0.88 0.86 0.84 0.82 0.80 0.78 0.76 0.74 0.72 0.70 0.68 0.66 UCL 0.64 0.62 0.60 0.58 0.56 0.54 0.52 0.50 0.48 0.46 0.44 CL p 0.42 0.40 0.38 0.36 0.34 0.32 0.30 0.28 0.26 0.24 0.22 LCL 0.20 0.18 0.16 0.14 0.12 0.10 0.08 0.06 0.04 0.02 0.00 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 Percetageoccurence Observation Nos.
  • 27. Working time and Idle time almost got a closer result with 58% and 42% respectively. Based from the types of out-of-control condition: Trend or steady change in level --worker’s performance is affected due to boredom and inattention
  • 28. Change or jump in level --there was an unintentional change or minor failure made by the worker such as being late and going home (emergency cases). When it comes to service, the co-worker is still attending the customer’s needs or questions, and the worker (subject) would have to wait.
  • 29. Recurring Cycle – idleness take most between 8 am – 10:30 am and 3pm downwards. Working time takes most when it’s mid-afternoon or the students are taking their lunch. Seasonal effects or peak hours cannot be avoided and so, this affect the condition of the worker’s performance. Two populations – there is a large differences in the test method or the random times being used. There are times when the observation took place (1 min.) after the previous observation, and the next observation will be done after 5 minutes or more. This affects the condition in such a way that the result becomes bias.
  • 30. Mistakes – this can be very embarrassing but there could be a mistake in recording the data. In a case, where the analyst have to assign other students to take records of the data, yet that student doesn’t have a background of work sampling and is careless with the random times, or anticipate the recording of data. The points outside the control limits showed that there were chance causes present, such as going home for an emergency and the peak hour of students for taking a dinner or meal.
  • 31. Natural Variation – the management has to facilitate the performance of the worker when it comes to being late Assignable cause – although the plotted points where located inside the control limits there are still unnatural variation that is to be considered, such as the service or product that they offer. Most of their products (foods) are identical with the other food shop in the canteen, the management then, has to offer a new product.
  • 32. Work sampling can provide information about the productive and non – productive occurrence of the worker. However, it does not provide a complete information about the method used by the worker. The behavior of the worker could also affect the data recorded especially when the observations are made too obvious of the worker and there is a shifting of performance.
  • 33. Work sampling tends to average and generalize the results. The variations of the results then will only lead to an inappropriate analyzation of the problems. The control chart helps determine the percentage occurrence of the non- productive work per random times given. However, when it is measured per day, there has to be a sample size per random times or subgroup. That resulted to a generalization of the work for a single subject only, not applicable for other workers present in the workplace.
  • 34. The following recommendations are to be implemented:  set – up the determined standard time Produce a new product or menu to improve marketing service Facilitate the performance and behavior of the worker when it comes to being late Increase the wage payment from 200 php to 305php in accordance to the labor code, to satisfy the workers performance and job security.
  • 35. Groover, M. (2007).Work Systems and the Methods, Measurement, and Management of Work. Pearson Education, Inc. New Jersey Denton, K. (1982). Safety Management, Improving Performance. Mc-Graw Hill Book Company. New York Deming, E. (1988). Quality Control Handbook. Mc-Graw Hill Book Company. New York Freivalds, A. and Niebel, B. (2009). Niebel’s Methods, Standards, and Work Design. New York: Mc-Graw Hill Companies, Inc.