TY - JOUR ID - 3082 TI - Multi-Period Multi-Product Distribution Network Redesign under Uncertainty JO - Journal of Quality Engineering and Production Optimization JA - JQEPO LA - en SN - AU - Rahimi, Mosayyeb AU - Doodman, Mansour AU - Bozorgi- Amiri, Ali AD - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran Y1 - 2020 PY - 2020 VL - 5 IS - 2 SP - 145 EP - 162 KW - Warehouse network redesign KW - Inventory management KW - Partial back-ordering KW - Facilities relocation KW - Possibilistic programming DO - 10.22070/jqepo.2021.5479.1157 N2 - – Reviewing related studies to supply chain networks shows that various factors influence the supply chain network's optimal design. Demand changes in market zones, changes in customers' locations, various competitive conditions in different regions, network costs fluctuations, and different disruption pose risks to the supply chain network in terms of optimal condition. In such conditions, to help the network return to its optimality, the network needs to be redesigned. In this respect, this paper has formulated a multi-period multi-product mathematical model for redesigning the warehouses considering backorder shortage. In this regard, decisions such as the construction of new facilities, closing non-optimal facilities, increasing the active facilities' capacity, the optimal amount of order/shortage in each active warehouse in each period have been investigated. Due to the inherent uncertainty in real-world business, parameters related to cost and demand are considered uncertain. Then, to deal with uncertain parameters in the proposed model, Jimenez's possibilistic programming has been used. The obtained results show that redesigning the supply chain network by setting up new facilities/closing non-optimal facilities can significantly reduce inventory and transportation costs and shortages. UR - https://jqepo.shahed.ac.ir/article_3082.html L1 - https://jqepo.shahed.ac.ir/article_3082_bef34ae074c0cbfb5656bc31a30dab72.pdf ER -