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Facility Location Optimization Using a Hybrid Model of Disassembly Line Balancing and Closed-Loop Supply Chain

EasyChair Preprint no. 2417

32 pagesDate: January 18, 2020

Abstract

This study investigates a hybrid facility location computation of closed-loop supply chain network to optimize the cost. A mixed-integer linear programming model is proposed and implemented using a general algebraic modeling system (GAMS). Considering the NP-Hardness and the exponential growth of solution time by increasing its size, a genetic metaheuristic algorithm is proposed for generalization. The performance evaluation of the model shows promising results.

Keyphrases: Closed-loop supply chain (CLSC), Disassembly line balancing (DLB), facility location, Genetic Algorithm (GA), linear coding, Reverse Logistics

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:2417,
  author = {Mostafa Danesh and Semperger Sandor and Amir Mosavi},
  title = {Facility Location Optimization Using a Hybrid Model of Disassembly Line Balancing and Closed-Loop Supply Chain},
  howpublished = {EasyChair Preprint no. 2417},

  year = {EasyChair, 2020}}
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