Article ID Journal Published Year Pages File Type
1023555 Transportation Research Part E: Logistics and Transportation Review 2012 17 Pages PDF
Abstract

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.

Related Topics
Social Sciences and Humanities Business, Management and Accounting Business and International Management
Authors
, , , ,