Closed-Loop Supply Chain Network Design Under Demand and Return Uncertainty
- 1 November 2017
- journal article
- Published by Institute for Operations Research and the Management Sciences (INFORMS) in Transportation Science
- Vol. 51 (4), 1063-1085
- https://doi.org/10.1287/trsc.2015.0663
Abstract
This study considers an integrated closed-loop supply chain (CLSC) network design problem under uncertainty with regard to product demand and return quantities. To incorporate uncertainty in decision making, we formulate a two-stage stochastic mixed integer linear programming model to determine the optimal locations of (re)manufacturing and processing facilities along with their capacity levels and forward and reverse product flows in the CLSC network to minimize total design and expected operation costs. For the solution of the model and its analysis, we develop a Benders Decomposition approach enhanced for computational efficiency using induced constraints, strengthened Benders cuts, and multiple Benders cuts as well as mean-value scenario based lower-bounding inequalities obtained by dual subproblem disaggregation. Computational results illustrate that the enhancements provide substantial improvements in terms of solution times and quality. Using our model and the solution approach in a sample average approximation framework, we provide further analysis of network designs based on inspection location and recovery rates. Although product inspection at retailer or collection center locations generally reduce costs by avoiding unnecessary use of resources, our analysis also indicates that parameters such as product type and reason-for-return, expected recovery rates, inspection costs, and transportation costs can be instrumental in deciding where the return product inspection should take place and, in turn, dictating the overall cost as well as the structure of the CLSC network.Keywords
This publication has 34 references indexed in Scilit:
- Progressive hedging‐based metaheuristics for stochastic network designNetworks, 2011
- A closed-loop supply chain network design problem with integrated forward and reverse channel decisionsIIE Transactions, 2010
- Network design for reverse and closed‐loop supply chains: An annotated bibliography of models and solution approachesNetworks, 2009
- Dynamic network design for reverse logistics operations under uncertaintyTransportation Research. Part E, Logistics and Transportation Review, 2009
- Benders decomposition with alternative multiple cuts for a multi‐product closed‐loop supply chain network design modelNaval Research Logistics (NRL), 2007
- A stochastic approach to a case study for product recovery network designEuropean Journal of Operational Research, 2005
- MANAGING PRODUCT RETURNS FOR REMANUFACTURINGProduction and Operations Management, 2001
- THE IMPACT OF PRODUCT RECOVERY ON LOGISTICS NETWORK DESIGNProduction and Operations Management, 2001
- Partitioning procedures for solving mixed-variables programming problemsNumerische Mathematik, 1962
- A theorem on flows in networksPacific Journal of Mathematics, 1957