Multi-objective design an agile and value supply chain with multi-objective genetic algorithm approach
Subject Areas : مدیریت
Hossein Ali
Hassanpour
1
(Assistant Professor, Department of Industrial and Logistics Engineering, Faculty of Engineering, Imam Hussein University of Technology, Tehran, Iran)
Morteza
Jabale
2
(M.A., Department of Industrial Engineering, Department of Logistics and Supply Chain Engineering, Imam Hossein Comprehensive University, Tehran, Iran)
Keywords: Agility and pivotal values, linear integer modeling, non-dominated sorting genetic algorithms,
Abstract :
A product when at the number of appropriate and timely delivered to the customer at the appropriate time is worth. Today, companies and people are facing the challenges of agility and pivotal values that the use of both approaches and combine them there is no in analytic model of the supply chain and the previous literature. In this paper, a study based on linear integer modeling in the field of supply chain network design has been done to address this gap research. Supply chain proposed in three levels of manufacturers, distributors and customers is proposed for multi-objective, multi-product and multi-period. The objective functions is including: Maximizing agility and pivotal values. To solve the Mathematical model is used from GAMS program. Then multi-objective genetic algorithm using non-dominated sorting members of the population proposed and Meta heuristic algorithm and GAMS`s results are Compared to Validate proposed algorithm. In the End, results are analyzed.
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