Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1023555 | Transportation Research Part E: Logistics and Transportation Review | 2012 | 17 Pages |
This paper presents a novel model for designing a reliable network of facilities in closed-loop supply chain under uncertainty. For this purpose, a bi-objective mathematical programming formulation is developed which minimizes the total costs and the expected transportation costs after failures of facilities of a logistics network. To solve the model, a new hybrid solution methodology is introduced by combining robust optimization approach, queuing theory and fuzzy multi-objective programming. Computational experiments are provided for a number of test problems using a realistic network instance.
► Integrating the reliability model for facility location in CLSC network design. ► Offering a robust-M/M/c queuing model in CLSC network. ► Proposing a novel hybrid solution methodology.