Highlights ► 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.

    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.


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    Title :

    Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model




    Publication date :

    2012-05-06


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English