基于精益和绿色范式的服装供应链生态效率计算

摘要

The main objective of this study is to propose a model for calculating eco-efficiency in apparel supply chain, which is considered by lean and green paradigm.This research is persuaded basedon trade off between lean green practices identified from apparel industries.Mathematical modelformulation is done by taking into account on individual industries impact on apparel supply chain.To show the application of the model,data from 6 Chinese companies were taken.Finally,a survey has been conducted in 17Bangladeshi companies to demonstrate the model application.To exemplify the model,some lean and green practices have been chosen which has opposite effect in between economic performance and environmental performance in the apparel and fashion supply chain.As the apparel supply chain is a bust area with huge environmental impact as well as significant economic role player in the world economy,so this work has effectively suggested the new entrance for apparel industry's eco-efficiency calculation strategy within time frame and showing variation in the eco-efficiency level regarding different size of apparel and fashion companies.One of the most important finding of this research is that with the increase of company sizeeco-efficiency level increases.All the company belonging to the same supply chain cannot be fullygreen at the same time which is another important discovery of this study.To obtain expectedeco-efficiency level,there is always some compromise to employ some green and lean practicesso that environmental and financial constraints are satisfied.To solve this problem a conceptual framework has been shown to clarify the constraints between environmental performance and economic performance.Conclusions are drawn not only viewing the insight possibilities to solve trade-offbetween lean and green practices but also discussing management practice modeling in theappareland fashion company.

目录

声明

Abstract

Contents

List of Tables

List of Figures

1 Chapter one：Introduction

1．2 Historical Background

1．3 Study Objectives

1．3．2 Secondary objectives

1．5 Scope

1．6 Significance of the Study

1．7 Contents

2 Chapter Two：Literature Review

2．2．1 Lean supply chain management practices

2．2．2 Green supply chain management practices

2．2．3 Concept of Eco-emciency

2．2．4 Lean green trade-off

2．3 Green practices in the apparel supply chain

2．3．3 Green design and life cycle design

2．3．4 Life cycle assessment(LCA)

2．3．5 Reverse logistics

2．3．6 Green supplier

2．3．7 Green branding

2．3．8 Green marketing

2．4 Ground for eco innovation in the apparel supply chain

2．5 Lean green trade-off in the Apparel supply chain

2．6 Lean green based modelling

2．7 Conclusions

3 Chapter Three：Mathematical Model Development

3．1 Introduction

3．2 Background of the model

3．2．1 Ohlson’s model

3．2．2 Model of Lucato

3．2．3 Model of Jiangxue Zhang

3．2．4 Model by Helena Carvalhoa

3．3 Conceptual Framework

3．4 Mathematical model formulation

3．4．1 Management practices modeling

3．4．2 Supply chain environmental perfbrmance calculation

3．4．3 Supply chain economic performance calculation

3．4．4 Supply chain eco-ef6ciency calculation

4 Chapter Four：Data Collection and Analysis method

4．1 Introduction

4．2．2 The Questionnaire

4．5 Quality of Data Collection Instruments

4．6 Data Analysis method

4．7 Ethical Considerations

4．8 Limitations

5 Chapter Five：Data analysis and interpretation

5．1 Introduction

5．2 Working principle of the model(Data’s collected from Chinese textile and Fashion Company)

5．3 Data presentation and analysis(Bangladeshi Companies)

5．3．1 Reliability Analysis

5．3．2 Factor analysis

5．3．3 Eco-efficiency calculation

5．3．4 Descriptive analysis of the selected companies

5．3．5 Comparing eco-efficiency level based on size of the company

5．3．6 Green practices evaluation for the selected companies

5．3．7 Lean practices evaluation for the selected companies

5．4 Decision support modelling

6 Chapter Six：Discussion，Conclusion and Recommendations

6．1 Introduction

6．2 Discussion

6．3 Concluding remarks

6．4 Limitations and future research

References

8 Appendixes

Paper Published

Acknowledgement