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A New Multi Objective Linear Programming Model for Lean and Green Supplier Selection with Fuzzy TOPSIS

In: Lean and Green Supply Chain Management

Author

Listed:
  • Belkız Torğul

    (Konya Technical University)

  • Turan Paksoy

    (Konya Technical University)

Abstract

Supplier selection is a critical task for the success of an organization. The goal in supplier selection is to select the “right” suppliers based on some criteria such as cost, quality and environmental performance. Lean thinking has been increasingly adopted among the suppliers to stay ahead of the competition by achieving faster delivery, higher quality and lower cost. On the other hand, governmental legislations put pressure on the companies to lower their environmental impact. Therefore, environmental impact of a supplier is as important as other criteria; i.e. cost, quality and faster delivery when evaluating the suppliers. Therefore, companies also adopt environmental management practices in supply chain management (referred to as green supply chain) to lower their environmental impact. In this context, lean and green supplier selection has attracted ever-growing attention recently, which is a multi-criteria decision-making problem that requires consideration of many qualitative and quantitative factors. Hence, this study presents an integrated approach for the selection of the appropriate suppliers in a supply chain, aiming to maximize lean and green value in a supply chain network, using fuzzy AHP-TOPSIS and fuzzy multi-objective linear programming. The applicability of the developed approach is demonstrated using a case study in Turkey.

Suggested Citation

  • Belkız Torğul & Turan Paksoy, 2019. "A New Multi Objective Linear Programming Model for Lean and Green Supplier Selection with Fuzzy TOPSIS," International Series in Operations Research & Management Science, in: Turan Paksoy & Gerhard-Wilhelm Weber & Sandra Huber (ed.), Lean and Green Supply Chain Management, pages 101-141, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-97511-5_4
    DOI: 10.1007/978-3-319-97511-5_4
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    Citations

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    Cited by:

    1. Yongbo Li & Ali Diabat & Chung-Cheng Lu, 2020. "Leagile supplier selection in Chinese textile industries: a DEMATEL approach," Annals of Operations Research, Springer, vol. 287(1), pages 303-322, April.
    2. Zhaojun Yang & Xiaoting Guo & Jun Sun & Yali Zhang, 2021. "Contextual and organizational factors in sustainable supply chain decision making: grey relational analysis and interpretative structural modeling," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12056-12076, August.
    3. Schreiber, Lucas, 2019. "Optimization and simulation for sustainable supply chain design," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 271-298, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Schreiber, Lucas & Jarmer, Jan-Philipp & Kamphues, Josef, 2020. "Energy-efficient supply chain design: Data aggregation and processing," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 129-155, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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