Document Type : Research Paper
Department of Industrial Engineering, Eyvanekey University, Tehran, Iran,
Department of Industrial Engineering, Kharazmi University, Tehran, Iran
The aim of this research is single-item multi-objective optimization in a 3-level supply chain including factories, distribution centers and demand centers. Decisions key to make in designing this supply chain is as follows: 1) number and location of factories producing items and equipment 2) the amount of items shipped from factories to warehouses and finally 3) the amount of items that is shipped from the warehouse to demand centers, whereas it reduces the costs of transporting and location and increases demand satisfying for projects. For optimizing these two objective functions simultaneously, the proposed supply chain model considers subjective, capacities and production and shipping costs. For solving this model, Multi-objective optimization particle swarm optimization (MOPSO) is used. This algorithm is used to optimize two objective functions and finally location of facilities including factories and warehouses and also it leads to demand and storage allocation and monitoring of the flow of items.