Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model |
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| Affiliation: | 1. Department of Industrial Engineering, Tsinghua University, Beijing, 100084, China;2. Division of Engineering, New York University Abu Dhabi, Saadiyat Island, 129188, Abu Dhabi, United Arab Emirates;3. Department of Civil and Urban Engineering, Tandon School of Engineering, New York University, Brooklyn, NY 11201, United States of America;1. Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada;2. Faculty of Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada;3. Hull University Business School, University of Hull, Hull HU6 7RX, UK |
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| 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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