This document discusses work measurement techniques used in the clothing industry. It defines key terms like standard minute value (SMV), which is the time allowed to complete an activity at a defined performance level. It describes methods like time study using stopwatches, predetermined motion time systems (PMTS), and activity sampling. The objectives of work measurement are outlined as providing data for costing, production planning and incentive schemes. Calculating productivity, efficiency and targets at both the individual operator and line levels are also covered.
At present Industrial Engineering (IE) is one of the important department for each garments or textile factory. Today’s maximum factory is run by industrial engineers, where they have to follow a process flow chart. By which they can easily control the whole garments production processes....
GSD is a technique for Methods Analysis and the setting of Time Standards for the Sewn
Products Industries.
Reference - International Labour Office (Geneva) publication - Introduction to Work Study.
At present Industrial Engineering (IE) is one of the important department for each garments or textile factory. Today’s maximum factory is run by industrial engineers, where they have to follow a process flow chart. By which they can easily control the whole garments production processes....
GSD is a technique for Methods Analysis and the setting of Time Standards for the Sewn
Products Industries.
Reference - International Labour Office (Geneva) publication - Introduction to Work Study.
Lean manufacturing tools for garment industryAzmir Latif Beg
Lean manufacturing is a unified, compressive set of philosophies, rules, guidelines, tools, and techniques for improving and optimizing discrete process.
Lean is a production practice that creates more value with less work by eliminating sources of waste.
Time is the most valuable resource. And when we look at our garment industry across the globe, we see that all manufacturers and consultants have woken up to the fact that time is practically money. So, they are furiously trying to discover different methods to save this precious time.
Lean manufacturing tools for garment industryAzmir Latif Beg
Lean manufacturing is a unified, compressive set of philosophies, rules, guidelines, tools, and techniques for improving and optimizing discrete process.
Lean is a production practice that creates more value with less work by eliminating sources of waste.
Time is the most valuable resource. And when we look at our garment industry across the globe, we see that all manufacturers and consultants have woken up to the fact that time is practically money. So, they are furiously trying to discover different methods to save this precious time.
To obtain a best position in a reputed organization where I will have the opportunity to utilize my analysis, adaptability, potentiality, creativity, academic achievement and ability to do something innovative for the organization and where I will be able to enrich my knowledge.
Printing can also be defined as localized dyeing.In all over printing, printing is done all over the fabric or garments.Mainly it is done by screen.At the beginning collect of Frame. After that choose of mesh depend on the design or process of printing.
Industrial Engineers determine the most effective ways to use the basic factors of production –people, machines, materials, information, and energy—to make a product or provide a service
IMPROVING OSH & PRODUCTIVITY OF RMG INDUSTRIES BY IMPLEMENTING LEAN TOOLS AN...Karina Islam
The garment industry has played a pioneering role in the development of industrial sector of Bangladesh. The RMG sector is expected to grow despite the global financial crisis of 2009.As China is finding it challenging to make textile and foot wear items at cheap price, due to rising labor costs, many foreign investors, are coming to Bangladesh to take advantage of the low labor cost. Though Bangladesh produces garment with lowest cost but poor productivity. To survive and prosper in today's economic times, companies can no longer manage using financial measures alone, they have to track non-financial measures also such as customer satisfaction, brand preference, speed of response, employee satisfaction etc.Productivity can improve by applying lean tools like- 5s, JIT, Muda, Root Cause analysis, KPIs, VSM. For improving the ultimate productivity OHS of RMG sector of Bangladesh should be improved. In Ready Made Garments (RMG) sector of Bangladesh, the employees represent an organization's biggest and its most valuable asset. The company's productivity, and ultimately, its profitability depend on making sure all of its workers perform up to their full potential. This paper summarizes that how KPIs analysis improve productivity and OHS of RMG sectors. Appropriate indicators are first selected for KPI scoring then simulate the scores with the help of Adaptive Network-based Fuzzy Inference System (ANFIS) and finally illustrated how KPIs impacts on overall productivity.
work measurement, the uses of work measurement, the techniques of work measurement, time study, time study form, methods of timing, work sampling, allowances, predetermined motion time and systems (P.M.T.S.),
For technical services and project people, the course gives an in site into the right selection of a machine, How to draft a
procurement specification of a compressor. They are exposed to the method of performance evaluation, understanding
performance curves operational issues like parallel operation and evaluate the machine performance from site operating data.
For Operational people, this course gives an exposure to understand surging, choking and off design operation of the
machine. Operational care required for the typical services will help them to understand the more reliable operation and help
them to take immediate corrective actions.
For maintenance people. they will get an exposure to the constructional aspects and help them to ensure proper assembly and diagnose the mechanical problems and those of the operational problems caused by mechanical malfunctioning.
A case study on productivity improvement of wearing insert and cutting ringIJECSJournal
The objective of this paper is to present case study on a wearing insert and cutting ring for the efficient improvements in productivity with the help of various work Study Methods. In this study productivity is improved through identifying the process that involves the time required for the process as the main reason to achieve the objectives of increasing the productivity. Time and motion study is one of the necessary factors to set a standard target. The study is aimed at identifying the unwanted work processes which in turn increases the time required, efforts as well as the cost of the product. Thus the changes were made in the areas which require improving using work study methods.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
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When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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3. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
WHAT IS WORK MEASUREMENT
This is a process involved in issuing standard time that
is carried out under ,
.
Define level of performance .
Qualified worker ,
Specific job ,
Specific conditions ,
4. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
STANDARD MINUTE VALUE (SMV)
Is a unit of time allowed to carry out a given activity
at a defined level of performance.
The standard time , therefore, is the total time in
which an operation should be completed at
standard performance ( i.e. BSI 100).
This time will include: the work content and
allowance such as contingency allowances for delay,
relaxation allowances for personal need and basic
fatigue and machine attention allowances for
operation of machinery.
5. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
OBJECTIVES OF WORK MEASUREMENT
To provide information for standard costing and
budgetary control.
To check machine utilization.
To set output targets based on performances.
To compare alternative method.
To form a basis for incentive schemes.
6. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
To provide information for production planning and
control.
To determine training requirements.
To provide information for the recruitment of labour.
7. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
WORK MEASUREMENT TECHNIQUES
The following techniques are used in the recording of
an operation or process for work measurement
purposes.
Stop watch timing (Time study)
Predetermined Motion Time
Systems (PMTS)
General Sewing Data (GSD)
Video recording / Filming
Activity sampling
9. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
WHAT IS TIME STUDY
Time study is a work measurement technique for
recording the time of performing a certain specific job
or its elements carried out under specific condition
and for analysing the data so as to obtain the time
necessary for an operator to carry out at a defined
rate of performance.
Time study is a method of direct observation. A
trained observer watches the job and records data as
the job is being performed over a number of cycles.
10. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
TIME STUDY EQUIPMENT
The stop watch - in general, two types of watches are
used for time study.
Fly back Continuous
These watches may be used for any of the following
time scales
Seconds
Decimal minutes
Decimal hours
11. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
RATING
Rating is a technique used to assess the speed &
effectiveness of an operator performing an activity or
group of activities.
The rating of an operation is carried out by a
“trained” observer who is experienced in assessing
the “effectiveness” of an operator.
12. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
May take into account
Speed of movement
Effort
Effectiveness
Dexterity
13. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
HOW ACCURATE IS RATING
Rating is subjective and relies on the skill of the
observer carrying out the rating exercise and the
observer’s concept of the rate of working relative to a
standard of 100%.
14. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
ELEMENT
An element is a distinct part of a specified job
selected for convenience of observation,
Measurement and analysis.
15. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
BREAKING DOWN THE JOB INTO
ELEMENTS
Elements should be easily identified, with definite beginnings and
endings so that, once established, they can be repeatedly recognized.
The point at which one element ends and another begins is called
break point. Breakpoints must be decided by the work study officer
when he divides the work cycle into elements.
All breakpoints can be recognized by a sound or by a change of
direction of a hand or arm.
Elements should be as short as can be conveniently timed by a trained
observer, but should not be less than 0.10 minutes and more than 0.50
minutes.
Manual elements should be separated from machine elements for
future use as synthetic data.
Short elements should be next to long elements.
16. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
S tandard
M inute
V alue
SMV = Basic Time + Allowances
SMV = B.T + Allowances
17. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
BASIC TIME
The basic time for the operation is found by applying
concept of rating to relate the observed to that of a
standard place of working.
18. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
CALCULATED AS FOLLOWS
Standard Rating = 100 (BSI)
= A constant )
19. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
Rating 80 100 125 130
Observed
Time
0.25 0.20 0.16 0.15
Basic Time
= 0.20 0.20 0.20 0.20
e.g.1
20. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
Rating
50
75 100 125
Observed
Time
1.2 0.8 0.6 0.5
Basic Time
= 0.6 0.6 0.6 0.6
e.g. 2
21. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
TYPES OF ALLOWANCES
Relaxation Allowances
Personal needs
Basic fatigue
Contingency Allowances
Machine attention allowances
22. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
RELAXATION ALLOWANCES
PERSONAL NEEDS
This allowance provides for the necessity to leave the
workplace to attend to personal needs such as
washing, going to the lavatory or fetching a drink.
Common figures are from 5 to 7 per cent of basic
time.
23. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
BASIC FATIGUE
This allowance, always a constant, is given to take
account of the energy expended while carrying
out work and to alleviate monotony.
A common figure is 4 percent of basic time.
Relaxation for sitting jobs 7.5%
Relaxation for standing jobs 9.5%
24. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
CONTINGENCY ALLOWANCES
A contingency allowance is a small allowance of time
which may be included in a standard time to meet
legitimate and expected items of work or delays, the
precise measurement of which is uneconomical
because of their infrequent or irregular occurrence.
Contingency 2%
25. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
MACHINE DELAY ALLOWANCES
These are applied to the total basic times for those
elements which are concerned with the operation of
machinery.
Common used as follows
Single needle Lockstitch 9%
Twin needle Lockstitch 14%
Double Needle Chainstitch 10%
26. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
Three thread overlock 7%
Four thread overlock 9%
Five thread overlock 11%
Multi Needle 10.5%
Other 5%
27. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
P re
D etermined
M otion PMTS
T ime
S ystems
28. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
PMTS
PMTS being a methods analysis technique whereby
time standards are produced as a by - product of
engineered or observed working methods.
29. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
OR IN OTHER WORDS,
Predetermined motion Time System is a work
measurement technique where by times established
for basic human motions (classified according to the
nature of the motion and the conditions under which
it is made) are used to build up the times for a job at
a defined level of performance.
30. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
WORK MEASUREMENT
The technique of work measurement PMTS
Direct work measurement Indirect work measurement
Requires observation Can use visualisation
Time study Synthetic times
possible stop watch error use coded data from time
studies
subjectivity of rating derived from elements
31. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
ADVANTAGES OVER STOP WATCH TIME
STUDY
Can be used before production starts.
Eliminate the need for a stop watch.
Eliminate the need for rating.
Realistic time standards-even with relatively
inexperienced operators.
Permit measurement of element of work which are
too short with the stop watch.
Possible to study and evaluate a number of different
methods without involving an operator.
32. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
DISADVANTAGES
The analyst must be familiar with the methods of
garment construction.
Cost of the system.
33. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
MTM - METHOD TIME MEASUREMENT
Is a generic term for a family of pre-determined
motion time systems.
MTM developed in 1946 and data published based on
film analysis of many 1000’s of industrial operations,
performance rated by teams of observers
34. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
MTM - 1
MTM 1 was developed in 1948.
The MTM - 1 data card contains over 350 values,
many of which are below 7 TMU’S.
TMU - TIME MEASUREMENT UNIT
100000 TMU = 1 Hour
1667 TMU = 1 Minute
28 TMU = 1 Second
35. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
PRINCIPLE MOTIONS
Reach
Grasp
Release
Move
Position
36. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
MTM - 2
MTM 2 was developed in 1965.
It contains 39 values.
Principle Motion
Reach
Grasp Get
Release
Move
Position Put
37. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
PMTS DATA LEVELS : BASIC MOTIONS
1st level
(MTM1)
2nd level
(MTM2)
3rd level
(MTM3)
Higher level
Handling
GET
Release
Reach
Grasp
PUT
Move
position
Combinati
ons give
sample &
complex
elements.
38. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
GSD
GENERAL SEWING DATA
GSD is a technique for methods analysis and the setting
of time standards for needle trade work.
40. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
ACTIVITY SAMPLING
Activity sampling is a method of finding the
percentage of the productive time and idle time of
the machines in a specific production area.
41. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
SUITABLE APPLICATIONS
To observe several employees using few observers
To assess the proportion of time spent on particular
activity
To assess the proportion of idle, ineffective or waiting
time
To assess machine breakdown time
To observe the situation over a long period, which would
be uneconomical with continuos observation
42. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
Date: 10/02/99 Observer:XY Study No: Pilot Study
Time: 10:50 Am. Line: 02
Number of Total Percentage
Observations: 25
Machine running IIII 5 5/25*100 = 20
MachineObtain part IIII I 6 6/25*100 = 24
idleing Folding part I 1 1/25*100 = 4
Align part II 2 2/25*100 = 8
Match to M/C foot II 2 2/25*100 = 8
Cut thread II 2 2/25*100 = 8
Bundle handling I 1 1/25*100 = 4
Out of work place
Idling I 1 1/25*100 = 4
Talking II 2 2/25*100 = 8
Waiting for work I 1 1/25*100 = 4
M/C breakdown II 2 2/25*100 = 8
Others 0 0
43. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
FINDING OF THE STUDY
Activity No. of observations percentage
Sewing 1024 16%
Parts handling 2944 46%
Bundle handling 320 5%
Out of workplace 256 4%
Idling and talking 512 8%
Waiting for work 640 10%
M/c breakdown 384 6%
Others
Total productive time
Total non productive time
320
6400
4288
2112
5%
67%
33%
44. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
FINDINGS OF THE STUDY
If there are 600 machine operators are working at 8
hours, then total non productive time per day
600 X 8 X 60 X = 95040 minutes.
100
33
45. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
FINDINGS OF THE STUDY
If you can reduce the non productive time by 10%
reducing the waiting time, idling and talking and
machine breakdown time,
then you can save = 600 X 8 X 60 X
= 28800 minutes
If the average SMV of a garment is 20 minutes
Then you can produce extra =
=1440 pcs per day.
100
10
20
28800
47. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
PRODUCTION CALCULATIONS
TARGET
(Individual)
e .g . - 1
SMV of the operation = 0.50
Target
= 120 PCS
If she/he does another operation with SMV of 0.35
Then her/his
target
= 71 pcs from each operation
48. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
LINE TARGET
LINE TARGET =
Actual Minutes = No. of M/c Operators X work hrs.X
60 X Efficiency X Present%
49. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
LINE TARGET
e.g.
No. of operators = 54
Working hours = 9.50
Efficiency = 85%
Absenteeism rate = 5%
Total M/c SMV = 28.50
LINE TARGET
=
= 872 gmts. 28.50
0.95X0.85X60X9.50X54
50. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
EFFICIENCY & PERFORMANCE
CALCULATIONS
EFFICIENCY
(Of Individual)
Earned Minutes = No. of produced pieces x
SMV of that activity
Available Minutes = Work Minutes
51. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
INDIVIDUAL EFFICIENCY
e.g
An operator worked for 8 hours on an activity of
having a SMV of 0.55. She produced 682 pieces of
that activity. What was her efficiency?
Efficiency
= 78.15 %
52. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
INDIVIDUAL EFFICIENCY
e.g.
An operator worked for 9 hours on activity of having
SMVs of 1.21 & 0.80. She produced 195 & 250 of
those activities respectively. What was her efficiency?
Efficiency
= 80.66 %
53. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
LINE EFFICIENCY
Line Efficiency =
Total
Earned = No of produced Gmts. X SMV of that Gmt.
Minutes
Total
Available = No. of operators x Work Minutes.
Minutes
54. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
LINE EFFICIENCY
e.g. - 5
A unit of 24 operators produced 400 Gmts. SMV of
garment is 20.10. Assume a working day has 480
Minutes. What was the line efficiency?
Total earned minutes = 400 X 20.10 = 8040
Total available minutes = 24 X 480 = 11520
line efficiency =
= 69.79 %
100
11520
8040
X
55. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
FACTORY EFFICIENCY
Factory efficiency = 100
factoryainminutesavailableTotal
factoryainminutesearnedTotal
X
56. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
FACTORY EFFICIENCY
e.g. 6
There are 4 line in a pants manufacturing factory and they
work 8 hours. Following data has been taken in one particular
day.
Line no No. of
operators
Total
SMV
No. of
produced
pieces
Total
earned
minutes
Total
available
minutes
Efficie
ncy
01 54 49.50 351 17375 25920 67%
02 48 34.60 559 19341 23040 84%
03 50 38.40 500 19200 24000 80%
04 49 30.00 353 10590 23520 45%
Average 69 %
Total 66506 96480
Factory efficiency = = 68.9%100
96480
66506
X
57. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
INDIVIDUAL PERFORMANCE
PERFORMANCE =
(of individual)
100
minutesstd.Off–minutesAvailable
minutesEarned
X
58. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
INDIVIDUAL PERFORMANCE
e.g. - 7
An operator worked for 8 hours on an activity of
having a SMV of 0.55. She produced 682 pieces of
that activity. She had 40 minutes of stoppage time
due to machine breakdown & power failure. What
was her performance?
Performance
= 85.25%
59. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
FACTORS AFFECTING OPERATOR
PERFORMANCE
Accuracy of work measurement - correct SMV
Proportion of training
Operator skills and stamina
Operator motivation
Incentive scheme
Availability of sufficient work
Quality ( occurrence of rejects)
60. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
FACTORS AFFECTING OPERATOR
PERFORMANCE
Style changes
Method
Equipment and work aids
Machine condition
Psychical and mental condition
Wiliness of the operator
61. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
LINE PERFORMANCE
Line performance =
minutesstandardoffTotal–minutesavailableTotal
100xminutesearnedTotal
62. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
LINE PERFORMANCE
from the previous example
Line
no
No. of
operat
ors
Total
SMV
No. of
produced
pieces
Lost
time/
min.
Total
earned
minutes
Total
available
minutes
Efficienc
y
Performan
ce
01 54 49.50 351 1845 17375 25920 67% 72%
02 48 34.60 559 870 19341 23040 84% 85%
03 50 38.40 500 425 19200 24000 80% 81%
04 49 30.00 353 6212 10590 23520 45% 61%
Avg 69 % 75%
Tot 9352 66506 96480
Factory performance = = 76%
9352-96480
100X66506
63. INCENTIVE SCHEME
Incentive
Amount
Share of profit earned
by increasing the avg.
efficiency over
costed efficiency
Saving on earned
minutes per
Operator per day
for 1% efficiency
increase
Rs.24.00
64. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
HOW A TEAM GET QUALIFIED FOR
INCENTIVE
End line weekly average First Pass Yield
(FPY) is equal or more than 95% efficiency
Weekly average efficiency of a line
≥
Costed Weekly Avg. Efficiency +Incremental
Qualified for Incentive
65. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
QUALIFIED EFFICIENCIES & INCENTIVE
AMOUNT
No. of output
weeks
Qualified Eff.
Amount paid @
Q. Level (Rs.)
Profit earned by
increasing the avg.
efficiency over the
costed efficiency per
operator
1st week (1-6 Days) Costed Eff.+10 Rs75 Rs 240
2nd week (7-12 Days) Costed Eff.+15
Rs 110 Rs 360
3rd week & onward
(13 Days..)
Costed Eff.+20
Rs 150 Rs 480
66. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
OPERATION BREAKDOWN AND LINE
BALANCING
In this unit, we shall look in detail at operation
breakdown and production line balancing.
67. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
OPERATION BREAKDOWN
What is ‘Operation Breakdown’?
In the clothing industry, operation breakdown is the
separation of the making-up operations so that
garments can be made up quickly and cheaply using
available labour and machinery.
68. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
PURPOSES OF OPERATION
BREAKDOWN
The main purposes of operation breakdown are:
To achieve higher productivity. The garment -making
process is separated into different operations. This
means that workers can perform different operations
according to their skills. This leads to higher productivity.
To facilitate production line balancing. Details of
production line balancing will be discussed in section of
this unit.
69. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
To facilitate machine / operator specialization.
Specialized machines can be used in the garment-
making process. These machines have a high
production capacity and produce high-quality goods.
To improve the operations’ skills. Operators’ skills
will improve as a result of constant practice.
70. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
PRODUCTION LINE BALANCING
What is ‘Production Line Balancing’?
Production line balancing is the allocation of the
work to be done to the people available to do it.
71. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
PURPOSES OF PRODUCTION LINE
BALANCING
To ensure a steady flow of work through the
production line. A balanced production line does not
have any bottlenecks. This is because since the work
flow is based on the output and capabilities of the
workers in each operation of the manufacturing
sequence. More work stations provided for
complicated work. Simple work requires fewer work
stations.
72. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
To reduce the material handling time and
manufacturing costs. Since work flows steadily along
the production line, material handling time can be
reduced. This reduces manufacturing costs.
To make the best use of space. A balanced
production line will give the minimum level of work
in progress (W.I.P).The smaller the level of W.I.P, the
smaller the space needed for production.
73. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
To improve the working environment. A better working
environment is possible with a balanced production line.
This is because work is not allowed to accumulate on the
production line. The sewing room will therefore be tidier.
To improve control of the production schedule. Reliable
data on output is easily obtained on a properly balanced
production line.
To reduce labour turn over. A properly balanced
production line is designed so that a worker has enough
time to complete his/her work. Workers must not be
overloaded with work. Nor must they be left idle. An
incentive scheme may be implemented to reduce labour
turnover.
74. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
CYCLE TIME
The maximum time taken for the particular operation to
give the line target.
Cycle time =
e.g.
Working hours = 8
100% line target = 670
Cycle time =
= 0.72
targetline100%
minutesworking
670
608X
75. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
THEORETICAL MANNING LEVEL (TML)
Theoretical manning level required to complete the
particular operation
TML =
e.g.
SMV of a operation is 0.50
Cycle time is 0.72
TML =
= 0.69
Cycletime
SMV
72.0
50.0
76. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
BALANCING A LINE
e. g. 1
The line target is 685 garments and per day and
length of the day is 480 minutes.
cycle time =
= 0.70
685
480
77. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
Operati
on no.
Operation Machine
type
SMV TML Actual
operators
operator
01 Front panel att. 5 O/L 0.71 1.01 1 1
02 Front panel
topstitch
S/N/L/S 0.59 0.84 1 2
03 Back panel O/L 3 O/L 0.41 0.59 1 3
04 Back panel att 5 O/L 0.60 0.86 1 4
05 Back panel topstitch S/N/L/S 0.66 0.94 1 5
06 L & R back panel att S/N/L/S 0.29 0.41 1 6
07 Front & back facing
att at shoulder
S/N/L/S 0.35 0.50 6
08 Front & back facing
edge O/L
3 O/L 0.32 0.46 3
09 Size lable and main
lable tack
S/N/L/S 0.23 0.33 1 7
10 Main lable tack to
facing
S/N/L/S 0.36 0.51 7
11 Shoulder join S/N/L/S 0.37 0.62 1 8
78. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
Operatio
n no.
Operation Machine
type
SMV TML Actual
operators
operator
12 Zipper att S/N/L/S 0.57 0.81 1 9
13 Facing att to
neck
S/N/L/S 0.45 0.64 1 10
14 Neck outline S/N/L/S 0.34 0.49 10
15 Facing att to
arm hole
S/N/L/S 0.63 0.90 1 11
16 Facing att to
back
S/N/L/S 0.36 0.51 1 12
17 Side seam 5 O/L 0.44 0.62 1 13
18 Arm hole
outline
S/N/L/S 0.64 0.91 1 14
19 Facing tack
under arm
S/N/L/S 0.41 0.59 12
20 Bottom hem S/N/L/S 0.68 0.97 1 15
Total 10.05 13.51 15
79. BRANDIX COLLEGE OF CLOTHING TECHNOLOGY
BALANCING LOSS
SMV of an operation is not exact multiplication of
cycle time. So the TML less than Actual manning level
(AML). Therefore, a certain amount of idle or
inefficient time will be there. That is called balancing
loss. This is express as a percentage.
Balancing loss =
=
= 9.9%
100
)(
X
AML
TMLAML
100
15
)51.1315(
X