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

EasyChair Preprint 2417

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), Genetic Algorithm (GA), Reverse Logistics, facility location, linear coding

@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 2417},
  year      = {EasyChair, 2020}}