TY - JOUR ID - 4009 TI - Optimizing supply chain network design with location-inventory decisions for perishable items: A Pareto-based MOEA approach JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Rashidi, Sadra AU - Saghaei, Abbas AU - Sadjadi, Seyed Jafar AU - Sadi-Nezhad, Soheil AD - Y1 - 2016 PY - 2016 VL - 23 IS - 6 SP - 3025 EP - 3045 KW - supply chain network design KW - Perishable products KW - location-inventory KW - multi-objective optimization KW - Pareto-based meta-heuristics DO - 10.24200/sci.2016.4009 N2 - In this paper, a bi-objective mathematical model is presented to optimize supply chain network with location-inventory decisions for perishable items. The goals are to minimize total cost of system including transportation cost of perishable items from centers into DCs, DCs to ultimate center, transportation cost of unusual orders, and fixed cost of centers as DCs as well as demand unresponsiveness. Considering special conditions for holding items, regional DCs, and determining average of life time items assigned to centers are other features of the proposed model. With regard to complexity of the proposed model, a Pareto-based meta-heuristic approach called multi-objective imperialist competitive algorithm (MOICA) is presented to solve the model. To demonstrate performance of proposed algorithms, two well-developed multi-objective algorithms based on genetic algorithm including non-dominated ranked genetic algorithm (NRGA) and non-dominated sorting genetic algorithm (NSGA-II) are applied. In order to analyze the results, several numerical illustrations are generated; then, the algorithms compared both statistically and graphically. The results analysis show the robustness of MOICA to find and manage Pareto solutions. UR - https://scientiairanica.sharif.edu/article_4009.html L1 - https://scientiairanica.sharif.edu/article_4009_402d08b5af43aef3eb4e6bec7c8cf75f.pdf ER -