Author/Authors :
Mehdizadeh Esmaeil نويسنده Department of Industrial Engineering, Islamic Azad University of Qazvin , Hadji Molana Seyyed Mohammad نويسنده Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. , Ramyar Mohammad نويسنده Iran University of Science and research in Tehran
Abstract :
In this paper, the researchers present a multi-objective model for multiproduct,
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 ring costs, and also to maximize the minimum of suppliersʹ
reliability by considering probabilistic lead times to simultaneously improve the system
performance. 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
