Outline

  • Abstract
  • Highlights
  • Keywords
  • 1. Introduction
  • 2. Literature Survey
  • 3. Proposed Green Supplier Evaluation Framework
  • 3.1. Proposed Methodologies for the Green Supplier Evaluation Framework
  • 3.1.1. Fuzzy Dematel
  • 3.1.2. Fuzzy Anp
  • 3.1.3. Fuzzy Topsis
  • 3.2. Criteria of Green Supplier Evaluation Framework
  • 4. Case Study
  • 4.1. Application of the Evaluation Framework in Ford Otosan
  • 4.2. the Computational Steps of the Proposed Integrated Framework
  • 5. Conclusion
  • Acknowledgements
  • References

رئوس مطالب

  • چکیده
  • کلمات کلیدی
  • 1. مقدمه
  • 2. بررسی آثار
  • 3. چارچوب ارزیابی عرضه کننده سبز پیشنهاد شده
  • 3.1 متدولوژی های پیشنهاد شده برای چارچوب ارزیابی عرضه کننده سبز
  • 3.1.1 DEMATEL فازی
  • 3.1.2 ANP فازی
  • 3.1.3 TOPSIS فازی
  • 3.2 معیار چارچوب ارزیابی عرضه کننده سبز
  • 4. مطالعه موردی
  • 4.1 کاربرد چارچوب ارزیابی در فورد اتوسان
  • 4.2 مراحل محاسباتی چارچوب تلفیق شده ارائه شده
  • 5. نتیجه گیری

Abstract

It is well known that “green” principles and strategies have become vital for companies as the public awareness increased against their environmental impacts. A company’s environmental performance is not only related to the company’s inner environmental efforts, but also it is affected by the suppliers’ environmental performance and image. For industries, environmentally responsible manufacturing, return flows, and related processes require green supply chain (GSC) and accompanying suppliers with environmental/green competencies. During recent years, how to determine suitable and green suppliers in the supply chain has become a key strategic consideration. Therefore this paper examines GSC management (GSCM) and GSCM capability dimensions to propose an evaluation framework for green suppliers. However, the nature of supplier selection is a complex multi-criteria problem including both quantitative and qualitative factors which may be in conflict and may also be uncertain. The identified components are integrated into a novel hybrid fuzzy multiple criteria decision making (MCDM) model combines the fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL), the Analytical Network Process (ANP), and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) in a fuzzy context. A case study is proposed for green supplier evaluation in a specific company, namely Ford Otosan.

Highlights ► This study proposes a hybrid fuzzy multi criteria decision making model that can assist in evaluating green suppliers. ► The proposed model integrates DEMATEL, ANP and TOPSIS methods in a fuzzy context. ► Ford Otosan is selected as a case company in this study for the evaluation of green supplier alternatives. ► The supplied case study provides additional insights for research and practical applications.

Keywords: - - - -

Conclusions

This study suggests a novel hybrid MCDM approach to evaluate green suppliers for the need of improving GSCM initiatives. Based on the literature survey and with the validation of industrial experts, possible green supplier evaluation criteria were defined and a new evaluation model was formulated. The proposed model was implemented in Ford Otosan, one of the pioneering companies about environmental subjects in Turkey.

The combined fuzzy ANP and fuzzy DEMATEL approaches used in this study offered a more precise and accurate analysis by integrating interdependent relationships within and among a set of criteria. Moreover, fuzzy TOPSIS method helped to choose the alternative for ideal solution of this problem efficiently. While it is believed that the presented model provides value, there are also further points that can be included. To our knowledge, no previous work investigated such a problem by an integrated method with DEMATEL, ANP, and TOPSIS in fuzzy environment. As the proposed approach is novel, it might be applied to other MCDM problems.

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