präsentiert von
Table of Contents
CHAPTER ONE
INTRODUCTION
1.1 Background
1.2 Background of Ethiopian garment enterprises
1.3 Problem Statement
1.4 Research purpose and objectives
1.4.1 Research purpose
1.5 Research objectives
1.6 Justifications
1.7 Benefit and Beneficiary
1.7.1 Improved staff and team performance
1.7.2 Benefits for organizations
CHAPTER TWO
LITERATURE REVIEW
2.1 Skills Management
2.2 Workers skill level and attributes
2.3 Grade system for sewing machine operators
2.4 Sewing machine operator skill level grading
2.5 Grading based on efficiency of sewing machine operator
2.6 Grading system of sewing machine operators in the garment Industry
2.6.1 Grading according to types of operation
2.6.2 Grading according to sewing operator’s capability in various operations
2.7 Rating the performance of worker
2.8 The Rating Concept
2.8.1 Performance rating
2.9 Time study
2.9.1 Standard minute value (SMV)
2.9.2 Standard allowed minute (SAM)
2.10 Efficiency
2.10.1 Overall Efficiency and On-Standard Efficiency
2.11 Literature Gap
2.11.1 The limitation of Jochem 2018 spreadsheet
2.11.2 AG5 Skill Matrix Software, 2019
CHAPTER THREE
METHODOLOGY
3.1 Target population
3.2 Sampling technique
3.3 Sample size determination
3.4 Materials
3.5 Research process
3.5.1 Pre-study phase
3.6 Measure the skill of swing machine operators through time study
3.6.1 Steps in making time study
3.7 Consider lost time (Approx. real-time) of operators without using advanced devices like RFID
3.8 Skill categorization within a team/line
3.9 Developing skill matrix
3.10 Implementation phase
3.11 Result and discussion phase
3.12 Exiting measure of sewing machine operators in the factory
3.12.1 Allowances
3.13 Skill matrix procedure
3.13.1 How to use excel template to retrieve skill history of the employee/ operations
CHAPTER FOUR
RESULT AND DISCUSSION
4.1 Non-Productive time of machine operators in Novastar garment factory
4.2 The focus of management for sewing operators in the company
4.3 Work satisfaction of sewing machine operators in the factory
4.4 Machine skill level of sewing operators in the factory
4.5 Garment operation skill level of sewing machine operators in the factory
4.6 Work place allocation and daily target of sewing machine operators in the factory
4.7 Machine operator’s performance level in the case company
4.8 Categorization result
4.9 Proposed skill matrix
4.10 Implementation outlines
CHAPTER FIVE
CONCLUSION AND RECOMMENDATION
5.1 Conclusions
5.2 Recommendations
5.3 Future Work
Research Goals and Themes
This study aims to address the productivity and quality challenges in the Ethiopian garment manufacturing sector by developing a structured sewing operator performance evaluation system. By identifying individual skill gaps and machine-specific capabilities, the research seeks to create a skill matrix tool that enables management to optimize labor allocation, improve training programs, and enhance overall manufacturing efficiency in a case company, the Novastar Garment Factory.
- Sewing operator performance measurement and evaluation.
- Development and implementation of a skill matrix.
- Productivity enhancement through time study techniques.
- Skill categorization and labor flexibility.
- Addressing non-productive time and operational bottlenecks.
Excerpt from the Book
1.1 Background
The Textile & Clothing (T&C) industry is the starter industry for export-orientated industrialization and economically developed countries. Now with the advantages of globalization, this industry shifted to developing countries, like Ethiopia, 85 percent of the population still depend on farming for their livelihoods (Gereffi, 2002). The country’s government is increasingly turning to the textile and clothing industry in a bid to reduce the dependence on agriculture. It wants to create 300,000 new jobs in the sector by 2025 (Monga, 2019). Zero-duty imports and the financing of industrial parks in different regions are intended to serve as incentives for foreign investors. Industrial parks like Bole Lemi and Hawassa are part of the government’s plan to create jobs. The country's economy has grown quickly over the last few years, from an agricultural economy to an industrializing one. Ethiopia has now one of the highest economic growth rates in Sub-Saharan Africa (Berg et al., 2011). The growth of the sector has been hindered to date by a lack of technology, infrastructure, and an insufficiently qualified workforce. There is a shortage of skilled workers and managers and there is no supply industry either employee turnover among already established companies is high. These factors are acting as a brake in terms of achieving the desired success.
Summary of Chapters
CHAPTER ONE: Provides an overview of the Ethiopian garment industry, the research problem, and the objectives behind implementing a skill evaluation system.
CHAPTER TWO: Reviews the literature regarding skills management, grading systems for sewing operators, and various performance rating methodologies.
CHAPTER THREE: Details the research methodology, including target population, sampling techniques, data collection processes, and the specific approach to time study and skill matrix development.
CHAPTER FOUR: Presents the study's results and discussions, analyzing non-productive time, management focus, work satisfaction, and the resulting categorization of sewing operators.
CHAPTER FIVE: Concludes the findings on operator performance and provides recommendations for future implementation and work in the garment manufacturing sector.
Keywords
Garment industry, Sewing operator, Performance evaluation, Skill matrix, Time study, Productivity, Skill gap, Efficiency, Manufacturing, Labor flexibility, Training needs, Skill categorization, Industrial engineering, Ethiopia, Novastar Garment Factory.
Frequently Asked Questions
What is the core focus of this research?
The research focuses on developing and implementing a performance evaluation system for sewing operators in the Ethiopian garment industry, specifically as a case study at the Novastar Garment Factory, to improve productivity and skill development.
What are the primary thematic areas covered in this thesis?
The primary themes include skill management, operator performance rating, time study methodologies, the implementation of a skill matrix, and the assessment of organizational and workforce-related constraints in a labor-intensive garment manufacturing environment.
What is the primary objective of the proposed evaluation system?
The objective is to establish an easy-to-use assessment system that categorizes sewing operators based on their machine proficiency and operational efficiency, thereby helping management identify skill gaps and make data-driven decisions for labor allocation.
Which scientific methods were applied for data collection?
The research employed a mix of quantitative and qualitative methods, including direct time studies, structured questionnaires for sewing operators and supervisors, and the analysis of secondary data from company records and literature.
What does the main body of the work address?
The main body examines the current working conditions, identifies productivity bottlenecks such as non-productive time, assesses operator satisfaction, and demonstrates the step-by-step construction of an Excel-based skill matrix to monitor and upgrade employee skills.
Which keywords characterize this work?
Key terms include Garment industry, Skill matrix, Sewing operator, Productivity, Time study, Performance evaluation, and Labor flexibility.
Why is the skill matrix significant for the Novastar Garment Factory?
It provides the company with a visual, real-time insight into the operational strengths and weaknesses of their workforce, enabling them to replace absent operators efficiently, define training priorities, and reduce biases in job assignment.
What conclusions did the author reach regarding the factory's existing status?
The author concluded that the factory faced significant skill gaps, with a majority of operators performing at low-to-medium skill levels, and highlighted the lack of a structured skill monitoring system as a key factor hindering the company's competitiveness.