TY - JOUR ID - 4398 TI - Optimizing Reliability and Cost of system for Aggregate Production Planning in Supply Chain JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Ramyar, Mohammad AU - Mehdizadeh, Esmaeil AU - Hadji Molana, Mohammad AD - Department of Industrial Engineering, College of Engineering, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran AD - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran AD - Department of Industrial Engineering, College of Engineering, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran Y1 - 2017 PY - 2017 VL - 24 IS - 6 SP - 3394 EP - 3408 KW - Aggregate production planning KW - Supply chain management KW - Reliability KW - Multi-objective harmony KW - NSGA-II& NRGA DO - 10.24200/sci.2017.4398 N2 - In this paper, the researchers presented a multi-objective model for multi-product, multi-site aggregate production planning model in a supply chain. The goals are to minimize the total cost of the supply chain, including inventory costs, manufacturing costs, work force costs, hiring, and firing costs, and to maximize the minimum of suppliers’ reliability by considering probabilistic lead times tosimultaneously improve performance of the system. Since the problem is NP-Hard, a Pareto-based multi-objective harmony search algorithm is proposed. To demonstrate the performance of the presented algorithm, a non-dominated sorting genetic algorithm (NSGA-II) and a non-dominated ranking genetic algorithm (NRGA) are applied. The results demonstrate the robustness of the proposed algorithm to probe the Pareto solutions.     UR - https://scientiairanica.sharif.edu/article_4398.html L1 - https://scientiairanica.sharif.edu/article_4398_ecc1b7c827ecc93720c075cae40b0bc3.pdf ER -