TY - JOUR ID - 73217 TI - Bi-objective Build-to-order Supply Chain Problem with Customer Utility JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Ebrahimi, M AU - Tavakkoli-Moghaddam, R AU - Jolai, F AD - Department of Industrial Engineering, Albourz Campus, University of Tehran, Tehran, Iran AD - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran Y1 - 2018 PY - 2018 VL - 31 IS - 7 SP - 1066 EP - 1073 KW - Build KW - to KW - order KW - Bi KW - Objective Model KW - Supply chain KW - Customer Utility KW - multi KW - objective meta KW - heuristics DO - N2 - Taking into account competitive markets, manufacturers attend more customer’s personalization. Accordingly, build-to-order systems have been given more attention in recent years. In these systems, the customer is a very important asset for us and has been paid less attention in the previous studies. This paper introduces a new build-to-order problem in the supply chain. This study focuses on both manufacturer's profit and customer's utility simultaneously where demand is dependent on customer's utility. The customer's utility is a behavior based upon utility function that depends on quality and price and customer's preferences. The new bi-objective non-linear problem is a multi-period, multi-product and three-echelon supply chain in order to increase manufacturer's profit and customer's utility simultaneously. Solving the complicated problem, two multi-objective meta-heuristics, namely non-dominated ranked genetic algorithm (NRGA) and non-dominated sorting genetic algorithm (NSGA-II), were used to solve the given problem. Finally, the outcomes obtained by these meta-heuristics are analyzed. UR - https://www.ije.ir/article_73217.html L1 - https://www.ije.ir/article_73217_8f0c3f14116aae86279388a855195e8c.pdf ER -