Merged
Merged
BMSCE Bangalore
BHOOMIKA T S 1BM22IM012
PALLAVI S S 1BM22IM037
SWATHI S 1BM22IM056
Dr. Ramesh K. T.
Assistant Professor Head of the Department
Dept. of IEM, BMSCE Dept. of IEM, BMSCE
Semester End Examination:
Name Signature with date
Examiner 1:
Examiner 2:
i
ACKNOWLEDGEMENT
We are immensely grateful to our professors and the college administration for their
direction and assistance in helping us successfully complete our 3rd year Mini-Project-1,
“WORK STUDY ON GARMENT INDUSTRY”. This achievement would not have been
achievable without their support.
We also thank the entire teaching and nonteaching staff from the Department of Industrial
engineering and management, B. M. S. College of Engineering, Bangalore, for their
assistance.
Finally, we would want to express our respect to our parents and friends for supporting us
throughout the project.
Bhoomika T S- 1BM22IM012
Pallavi S S -1BM22IM037
Swathi S -1BM22IM056
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ABSTRACT
Work study is one of the important analytical techniques in the garment industry with the
aim of increasing productivity and efficiency through systematic work process analysis.
This report will discuss the importance of work study techniques in terms of method study
and time study to optimize the use of resources and establish performance standards. The
garment sector is highly labor-intensive, with a high cost of production and an urgent need
to adapt to the changing demands of the market. Organizations can implement work study
methodologies to identify non-value-added time in operations and streamline
workflows.Method study focuses on the analysis of tasks to eliminate unnecessary steps
and optimize the workflow. Time study establishes standard times for the completion of a
task based on the performance of a skilled worker. These techniques together lead to better
job design, improved ergonomics, and better workstation layouts that finally result in
increased output and quality. The study findings also show that successful work study
practices are beneficial for cost cutting and for increasing employee satisfaction in addition
to giving a less stressful and more organized working environment. With fast fashion, the
garment industry is continuing to evolve. And hence, the integration of work study practices
is essential for companies to achieve sustainability and competitive growth. This report
gives emphasis to continuous improvement through work study in order to reach
operational excellence in the garment manufacturing sector.
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CHAPTER 1
INTRODUCTION
Work study in the garment industry is a systematic analysis of methods and processes to
improve productivity and efficiency. It involves time and motion studies to optimize
resource utilization, reduce waste, and enhance workflow. The goal is to streamline
production while maintaining quality standards.
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key principles such as standardization, work measurement, and ergonomics, organizations
can optimize their processes and create a more efficient work environment.
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the garments meet the standards of quality. This focus on craftsmanship has achieved a
remarkable 30 percent improvement in performance when compared with their initial
outputs in 2015.
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CHAPTER 1
INTRODUCTION
Work study in the garment industry is a systematic analysis of methods and processes to
improve productivity and efficiency. It involves time and motion studies to optimize
resource utilization, reduce waste, and enhance workflow. The goal is to streamline
production while maintaining quality standards.
1
1.1.1. Impact on Industries
Motion studies have a significant impact on industries by optimizing efficiency and
productivity in the workplace. Motion studies involve analyzing and improving the
movements required to complete tasks, with the goal of reducing wasted time and energy.
By utilizing motion studies, industries can identify and eliminate unnecessary motions,
standardize work processes, and implement ergonomic improvements to enhance worker
safety and comfort. In manufacturing industries, motion studies help streamline production
processes by identifying the most efficient ways to assemble products and complete tasks.
This leads to increased throughput, reduced cycle times, and lower production costs. By
minimizing unnecessary movements and optimizing workflows, industries can improve
overall operational efficiency and output. Motion studies also play a crucial role in industries
such as healthcare, logistics, and construction, where repetitive tasks and manual labor are
common. By analyzing worker movements and optimizing workstations, industries can
reduce the risk of workplace injuries, improve employee satisfaction, and increase overall
productivity. Overall, the implementation of motion studies in industries helps to identify
opportunities for improvement, enhance efficiency, and drive continuous process
optimization. By focusing on optimizing movements and workflows, industries can achieve
greater levels of efficiency and productivity, ultimately leading to improved competitiveness
and success in the marketplace.
3
In today's fast-paced business environment, organizations are continuously trying to find
ways of being more efficient and productive. One of the very potent methodologies that has
emerged to help satisfy these needs is work study. Work study is, in a way, a scientific
approach to looking at the work process. It has nothing to do with the numbers and metrics
but a lot to do with the human aspect of every job in understanding how activities are carried
out to look for inefficiencies and areas that need improvement. This makes better use of
resources-whether it's time, materials, or human effort-and helps set realistic performance
standards that everyone can work for. Work study is a very important management technique
aimed at systematic examination of work in any organization. Thus, how work is performed
allows the identification of inefficiencies and streamlines the manner in which operations
are performed and consequently improves productivity.
Work study encompasses two main components: method study and time study.
Work Study
Used to evaluate
Method Study Work Measurement
Alternate Design
Higher Productivity
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Eliminating Unnecessary Steps: In doing
this, the organization decides the unnecessary
steps that add little or no value to a certain task
and consume time and resources.
Optimizing Resources: The end goal is to
reduce the activity so that much of the
employees' time and energy could be devoted
to work that is relevant,furthering efficiency
and stimulating appreciation.
Method study is aimed at achieving an optimal Figure.1.3 Method study
flow of work, which would promote better productivity while doing full justice to the
workers working on them.
Ultimately, time study helps create a more balanced workload for employees, ensuring they
aren’t overburdened while still meeting organizational goals.
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CHAPTER 2
LITERATURE REVIEW
A literature review is like a thorough investigation of all the research done prior
to or following a certain topic. It involves looking at scientific books, magazines
and other relevant sources. In the review, all prior research should be enumerated
and explained condensed, objectively evaluated and clarified. It must lay out the
theoretical foundation of the study and aid in determining its parameters.
2.1 METHODOLOGY
Criteria
tes ng
yes
Obtaining ideas
Reviewing ideas
The next stage is to compile or extract relevant data from every primary
study in the collection and evaluate its applicability to the primary concern.
The types of information that should be acquired are determined in part by
the initial research questions. But important information is also acquired
regarding the methodology, participants, and design of the original study,
in addition to any quantitative or qualitative insights.
Key Findings –
Unit by Lean Techniques of Line Balancing and Time & Motion Study .
3. reduce the risk of potential injury or worker fatigue, aligning with lean
Industry.
Key findings –
1. Label stitching can be streamlined using proper file organization and tools
such as jigs and fixtures.
2. Placing tools and controls within easy reach of the worker will minimize
search time.
3. Use guides or measuring tapes attached to the work table to check
measurements efficiently.
4. improving working conditions and productivity in the garment industry
with a focus on small and medium-sized enterprises.
Key findings –
Key findings –
4. The study was also helpful with applying lean manufacturing tools like single-
piece flow or single-piece Flow.
Key findings –
1. Fatigue increases defect rates the more precisely in stitching and assembly
actions.
2. Defect rate increases before and after breaks, highlighting fatigue accumulation
and pain relief .
Key findings –
1. Handle Height mismatch caused lower back pain; wheel radius was too small
requiring excessive force for movement.
2. Adjusting these parameters significantly improved ergonomic compatibility
and reduced MSD risks .
3. The research methodology and insights would help streamline stitching label
and size tag operations by reducing physical strain in material handling processes.
Author - Kamaljit Singh Rana, Dr. Jagjit Singh Randhawa, Dr. Parveen Kalra
Key finding-
The primary purpose of data collection is to analyze and improve the efficiency of garment
production processes, with a focus on stitching labels and size tags together. By gathering
detailed time-motion data, we aim to pinpoint inefficiencies in the current stitching approach,
which involves stitching labels and size tags separately. This disjointed process not only
increases production time but also creates unnecessary delays in workflow, ultimately
affecting the overall productivity of the garment manufacturing unit.
Additionally, data collection is directed towards understanding the limitations of the current
transport trolley design. The absence of wheels and stoppers has been observed to cause
frequent disruptions, particularly in material handling and movement across different
production stages. The goal of collecting this data is to establish a objective basis for
proposing actionable improvements. The insights derived from this data will help us design
solutions that minimize production bottlenecks, reduce worker fatigue, and ensure smoother
transitions between various stages of garment production.
The scope of the data collection focuses exclusively on processes directly linked to stitching
and material transport within the garment production unit. The study specifically targets two
critical areas:
● Data has been gathered on the time taken to stitch labels and size tags together
compared to stitching them separately.
● The study encompasses stitching time variability based on worker expertise,
machine type, and the complexity of garment designs.
● The data collection also considers the potential for errors in the stitching process
when tags are stitched separately, leading to rework or defective outputs.
Various tools and techniques were utilized to ensure accurate and reliable data collection
related to the garment production process. Key tools and techniques include:
● Used to measure the time taken to stitch labels and size tags separately versus
together.
● Time measurements were taken under controlled conditions to ensure consistency
and accuracy.
Observation Sheets:
Production Logs:
● Monthly and daily production data were extracted from company records to understand
trends and correlate them with operational efficiencies.
4.2.2 Observational Approach
The observational approach played a critical role in this study as it provided real-time
insights into the challenges faced by workers. This method involved:
Direct Observation
● Researchers observed the stitching processes during peak and non-peak hours to
capture time variations.
● Special attention was given to factors influencing stitching time, such as worker
expertise, machine type, and garment complexity.
Worker Behavior
● Monitored how the absence of wheels and stoppers slowed down material transport.
● Recorded instances where workers stopped production to handle transportation
issues.
● Use a stopwatch or digital timer to record the time taken for each task.
● Perform multiple observations (e.g., 10 repetitions per task) to ensure reliability.
● Record variations due to worker skill levels, machine types, and garment designs.
● Log the data in a structured table format for easy analysis.
● Calculate the average time for each task across multiple observations.
● Compare the average times to determine efficiency gains (e.g., stitching separately
vs together).
● Identify time losses associated with transporting materials due to trolley
inefficiencies.
● Highlight patterns, such as delays caused by specific tasks or machine types.
Step 5. Data Validation
1. Production in October-2024
2. Production in November-2024
● Highlights lower overall production compared to October, with smaller gaps in order
fulfillment.
● Suggests a more balanced but reduced output across styles.
The analysis of monthly production data for October and November 2024 highlights the
performance of the company in meeting order demands for various styles. Each product
style's production quantities and corresponding order quantities were meticulously compared
to identify how effectively the company managed its output against customer requirements.
● FAB LINE 2 COLOUR: Produced 5,949 units against its total order demand,
demonstrating consistent production aligned with customer expectations.
● FAS 2 COLOURS: Achieved a production output of 6,767 units, meeting a high
volume of order requirements.
● FAS 1 COLOUR: Produced 8,457 units, which indicates a focus on this product
style to meet its relatively larger order quantity.
● LADIES TOP: Registered the highest production of 23,786 units, reflecting the
priority given to this high-demand product.
November 2024 Analysis:
Observation
● High-Demand Styles: Styles such as LADIES TOP and FAS 1 COLOUR consistently
received higher production focus due to their substantial order quantities.
● Low-Demand Styles: Styles like FAB 2 FASHION PATTI and FAB BLACK
COLOUR had significantly lower production outputs, which likely correlates to
reduced order demands.
● In both months, LADIES TOP and LADIES STYLE demonstrated production
volumes that were adequately aligned with their order demands.
● Some styles, particularly in November, showed slight mismatches between
production and order quantities, indicating potential inefficiencies or adjustments in
production planning.
● Styles like FAB LINE 2 COLOUR and FAS 1 COLOUR should continue to be
prioritized based on their consistent order volumes.
● Increased focus on improving production processes for low-output styles such as
FAB BLACK COLOUR can help meet occasional demand spikes.
● Realignment of schedules to better address styles with growing demand will reduce
gaps and optimize production efficiency.
4.3.3 Daily Production Data
CUM. OF
TIME PRODUCTION
PRODUCTION
9:30-10:30 80 80
10:30-11:30 100 180
11:30-12:30 150 330
12:30-2:00 Break Break
2:00-3:00 110 440
3:00-4:00 110 550
4:00-5:00 65 615
5:00-6:00 150 765
6:00-7:00 35 800
Table 4.3 Daily Production
1 45.88
2 46.98
3 51.60
4 47.10
5 48.25
6 49.32
7 46.75
8 50.18
9 45.92
10 47.85
Average Time 49.153
1 38.87
2 32.90
3 36.53
4 37.12
5 34.80
6 35.95
7 33.47
8 38.50
9 36.10
10 37.30
Average Time 36.25
● The standard time equation according to the Institute of Industrial Engineers (IIE) is
commonly represented as:
Where:
● Standard Time is the time required to perform a task under normal working conditions,
including allowances for rest, delays, and personal time.
● Observed Time is the time it takes to complete a task during a time study, measured without
allowances.
● Allowances account for factors like personal time, fatigue, and delays, expressed as a
percentage of the observed time.
Efficiency Index
To quantify the improvement in efficiency, an efficiency index was calculated for both
methods using a baseline time of 50 seconds per trial:
The proposed method shows a 14.4% improvement in efficiency compared to the present method,
making it a highly effective process improvement.
Performance Rating
The proposed method achieves a 24.31% increase in throughput compared to the present method.
PRESENT METHOD
CHART:1
Sheet :1
Subject Charted Activity:Stitching label and size tags.
1 Idle • • Idle
Pick up the garment. • • Hold
12 Idle • • Idle
PROPOSED METHOD
CHART:2
Sheet :2
Subject Charted Activity:Stitching label and size tags.
Operation(•) 3 8 4 6 1
Transport(►) 2 - 1 - 1
Delay(D) 7 4 2 2 7
Inspection - - - - -
Storage (▼) - - - - -
Distance (m) - - 1 - -
Cost - - - - -
Labour - - - - -
Material - - - - -
TOTAL 12 12 8 8 8
1 Idle • • Idle
2 Hold the garment • Place the needle in the
hand • position to start
stitching
3 Pick up the label tag • • Pick up the size tag
4 Place the label tag on • • Place the size tag on
the garment the garment
5 Move the garment to Feed garment under
the desired position • • sewing machine to
stitch both the tags
6 Ensure that label and • • Control the sewing
sizes tags are aligned speed and ensure
proper stitching
7 Release garment • • Cut the threads after
after stitching with stitching if necessary
8 Idle • • Idle
4.5 Transport Trolley Observations
● Height: 120 cm
● Width: 90 cm
● Depth: 50 cm
These dimensions offer a compact and sturdy structure that is suitable for handling materials
in a fast-paced environment. The trolley is made from square metal tubing with a 3 cm x 3
cm cross-section, which is constructed using mild steel. This choice of material ensures the
trolley's durability and strength, enabling it to carry significant weight without compromising
its structural integrity.
MISSION STATEMENT : GARMENTS TRANSFER TROLLEY
Product Description • A robust, easy-to-handle trolley designed for the safe and
efficient transfer of garments in the production and distribution areas.
• Adjustable racks to accommodate various garment sizes and types.
Key Business Goals • Improve garment handling efficiency in factories and warehouses.
• Support the garment industry’s operational goals with
minimal downtime.
• Enhance the safety and longevity of garments during transit.
Primary Markets • Garment factories and production lines with a high volume of
clothing items .
1. Material Loading:
● The present trolley uses a large, open metal rack with no specific compartments or
securing mechanisms.
● Loose stacking of materials increases the risk of fabric damage or spillage during
transit.
2. Mobility Challenges:
● The wheels on the rack appear basic and may lack 360-degree rotation, limiting
maneuverability.
● There are no brakes or stoppers to secure the rack when stationary, risking
instability.
● The rack lacks ergonomic handles, making it difficult for workers to push or pull
heavy loads.
● Uneven stacking height can obstruct visibility, creating safety hazards.
● The design lacks reinforcement, potentially reducing its durability under high-load
conditions.
● Exposed corners and metal surfaces may damage delicate fabrics over time.
1. The loosely piled fabric leads to wrinkling and creasing, affecting quality and increasing the need
for extra processing.
2. Disorganized stacking makes accessing specific fabrics inefficient and increases the risk of
misplacement or damage.
3. The absence of wheels hinders mobility, causing time loss and increased physical effort for
workers.
4. Without a stopper, the rack can become unstable, posing safety risks and potential fabric damage.
Fig.4.7 Proposed trolley design
1. Material Organization:
2. Enhanced Mobility:
● Equipped with 360-degree swivel wheels for effortless navigation, even in tight
spaces.
● Stoppers or braking systems provide stability during loading/unloading.
3. Improved Ergonomics:
Trolley 1 1
Handle 4 1
Bolt 5 4
Nut 6 4
Wheel 8 4
Plate 9 4
4.5.5 3D Design of the Trolley Parts
1) Trolley
2) Wheel
3) Wheel Cover
6) Handle
7) Nut & Bolt
4.5.6 Data Analysis
● Workers can transport more materials in less time due to better mobility and
organization.
● Reduced risk of fabric damage and worker injuries.
● Lower maintenance costs and improved durability over time.
● Compact design allows better movement in crowded factory floors.
Summary of Chapter 1
Motion study and work study are crucial tools to improve the efficiency of organizations. This
leads to standardized processes, reduced fatigue and improved safety in industries like
manufacturing, healthcare and logistics. The ARS Textile Industry has achieved a 30%
performance improvement since 2015 by applying these principles. Work study, which includes
method and time studies, complements motion study by optimizing work processes. Time study
eliminates unnecessary steps while method study measures performance to identify bottlenecks.
Together, these methods promote resource optimization, balance workloads and constant
improvement, benefiting both productivity and employee well-being.
Summary of Chapter 2
The literature review emphasizes the integration of motion study ,work study and lean
manufacturing techniques to accelerate sales productivity and efficiency in the garment
industry. Key factors include Task Allocation, ergonomic improvements and line balance to
streamline operations. Upgrading tools and implementing single-piece flow systems reduce
waste and enhance workflow. Research highlights the importance of training motivation and
structured supervision in improving labor productivity. Addressing worker fatigue through
better work-rest cycles and ergonomic designs enhances product quality and reduces defects.
Lean practices and eliminating non-value-adding activities reduce lead time and costs. These
findings serve as a basis for further research and practical applications aimed at optimizing
garment production.
Summary of Chapter 3
The chapter identifies inefficiencies in stitching labels and size tags as a key bottleneck
reducing overall productivity. Additionally, the lack of ergonomic and efficient trolley design
disrupts the smooth flow of garments within the facility, resulting in a. The aim is to streamline
stitching processes, consolidate tasks and optimize workflows to reduce delays, fatigue and
alignment errors. Key assumptions include the standardization of processes, accurate time
measurement and leveraging a skilled workforce to ensure efficient task performance.
Integration of quality checks and an efficient workplace layout are also stressed to minimize
non-productive time. These insights provide a structured framework for addressing operational
challenges and improving productivity.
Summary of Chapter 4
The chapter analyzed inefficiencies in garment production, focusing on stitching methods and
material transportation. The results showed that combining stitching labels and sized tags
significantly improved efficiency with a 14.4% increase in productivity and a 24.31% increase
in throughput. It also highlighted limitations in the current transportation trolley design, such
as poor mobility and ergonomic issues that contribute to worker fatigue delays and production
inconsistencies. The data collected underscores the need for improved trolley design and more
efficient stitching methods. These insights provide a strong foundation for practical solutions
aimed at increasing productivity and streamlining workflows in garment manufacturing.