MULTI-LEVEL OPTIMIZATION OF AN AUTOMOTIVE CLOSED-LOOP SUPPLY CHAIN NETWORK WITH INTERACTIVE FUZZY PROGRAMMING APPROACHES

2018-5-18
Yılbaşı, Abdullah
Çalık, Ahmet
Paksoy, Turan
Zanjirani Farahani, Reza
Weber, Gerhard-Wilhelm
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Closed-Loop Supply Chain (CLSC) management has attained appreciable attention over the last few years. CLSC management allows companies to manage their recovery and recycling activities of end products. Due to the latest developments in the world, producers are responsible for the collection, refurbishing, repairing and disassembly of end products at the end of their lives. This paper develops a mixed-integer CLSC model that is inspired by the automotive industry. In this model, we consider three Decision Makers (DM): Plant, Dismantler Center and Customer. Each DM has individual objectives and is responsible for only its own objective function under same constraints. In order to tackle the trade-offs among the objectives, we used four different Interac-tive Fuzzy Programming (IFP) approaches. The applications of the model and solution techniques are investigated in conjectural data. The paper ends with a conclusion and a call for future studies.
Automotive industry, Closed-loop supply chain, Interactive fuzzy programming;, Multi-level programming, Mixed-integer linear programming
https://hdl.handle.net/11511/52011
Technological and Economic Development of Economy
Graduate School of Applied Mathematics, Article

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Citation Formats
A. Yılbaşı, A. Çalık, T. Paksoy, R. Zanjirani Farahani, and G.-W. Weber, “MULTI-LEVEL OPTIMIZATION OF AN AUTOMOTIVE CLOSED-LOOP SUPPLY CHAIN NETWORK WITH INTERACTIVE FUZZY PROGRAMMING APPROACHES,” Technological and Economic Development of Economy, pp. 1004–1028, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52011.
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