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Holistic cognitive conflict chain management framework in supply chain management
چارچوب جامع مدیریت زنجیره تعارض شناختی در مدیریت زنجیره تامین-2021 Closed-loop supply chains (CLSCs) have received considerable attention because of various
economic and regulatory factors. A CLSC is characterized by more complicated network
structures and higher uncertainties compared to traditional supply chain networks. Therefore, reliable CLSCs are being increasingly emphasized in academic circles due to the vast
impacts of disruptions such as natural disasters and terrorist attacks. This paper studies
a reliable location-inventory problem in a CLSC considering the mutual effects between
failures of forward and reverse distribution centers (DCs) when they are co-located. The
disruption probability of a co-located forward DC is different from that of a standalone
forward DC, i.e., probabilistic disruptions are dependent on facility type. The problem is
formulated as a nonconvex mixed-integer programming problem. A decomposition approach based on the outer approximation (DOA) algorithm is proposed to address the resulting model. The algorithm alternately solves relaxed master problems (mixed-integer
linear programs, MILPs) and two nonlinear programming (NLPs) problems. Extensive numerical experiments are conducted to evaluate the performance of the proposed solution
approach, after which managerial insights are explored.
Keywords: Closed-loop supply chain | Reliable location-inventory problem | Nonconvex optimization | Outer approximation |
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