Hafezalkotob, A., Khalili-Damghani, K., Ghashami, S. (2016). A Three-Echelon Multi-Objective Multi-Period Multi-Product Supply Chain Network Design Problem: A Goal Programming Approach. Journal of Optimization in Industrial Engineering, 10(21), 67-78. doi: 10.22094/joie.2016.262
Ashkan Hafezalkotob; Kaveh Khalili-Damghani; Seyed Sajad Ghashami. "A Three-Echelon Multi-Objective Multi-Period Multi-Product Supply Chain Network Design Problem: A Goal Programming Approach". Journal of Optimization in Industrial Engineering, 10, 21, 2016, 67-78. doi: 10.22094/joie.2016.262
Hafezalkotob, A., Khalili-Damghani, K., Ghashami, S. (2016). 'A Three-Echelon Multi-Objective Multi-Period Multi-Product Supply Chain Network Design Problem: A Goal Programming Approach', Journal of Optimization in Industrial Engineering, 10(21), pp. 67-78. doi: 10.22094/joie.2016.262
Hafezalkotob, A., Khalili-Damghani, K., Ghashami, S. A Three-Echelon Multi-Objective Multi-Period Multi-Product Supply Chain Network Design Problem: A Goal Programming Approach. Journal of Optimization in Industrial Engineering, 2016; 10(21): 67-78. doi: 10.22094/joie.2016.262
A Three-Echelon Multi-Objective Multi-Period Multi-Product Supply Chain Network Design Problem: A Goal Programming Approach
1Department of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran
2Department of Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi, Malaysia, 81310 UTM Skudai, Malaysia
Abstract
In this paper, a multi-objective multi-period multi-product supply chain network design problem is introduced. This problem is modeled using a multi-objective mixed integer mathematical programming. The objectives are maximizing the total profit of logistics, maximizing service level, and minimizing inconsistency of operations. Several sets of constraints are considered to handle the real situations of three-echelon supply chains. As the optimum value of conflictive objective functions of the proposed model cannot be met concurrently, so a goal programming approach is used. An illustrative numerical example is provided to show the mechanism of proposed model and the solution procedure. In a numerical example, 1 manufacture, 2 warehouses, 2 distribution centers (DCs), and 2 types of final products are considered in a planning horizon consists of 3 time periods. Products are shipped from the manufacturer to warehouses and then are shipped from the two warehouses to two distribution centers. The distribution centers are the point from which the product are shipped to final consumers. The Model is coded using GAMS software on a Core i7 CPU, using 8GB of RAM with MS-Windows 8.0. The optimum design of supply chain, inventory level for warehouses and distributors, and amount of shipments between echelons are determined.
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