Using Electromagnetism Algorithm for Determining the Number of kanbans in a Multi-stage Supply Chain System

Subject Areas : Design of Experiment

Majid Khalili ¹ , Mohammad Jafar Tarokh ² , Bahman Naderi ³

1 - Islamic Azad University, Karaj branch,, Department of Industrial Engineering, Alborz, Iran
2 - Department of Industrial Engineering, K.N.Toosi University, Tehran, Iran
3 - Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Received: 2010-07-13 Accepted : 2010-08-15 Published : 2010-09-28

Keywords: Kanban, Multi-stage supply chain system (MSSCS), Mixed integer non-linear programming (MINLP), Electromagnetism algorithm (EA),

Abstract :

This paper studies the multi-stage supply chain system (MSSCM) controlled by the kanban mechanism. In the kanban system, decision making is based on the number of kanbans as well as batch sizes. A kanban mechanism is employed to assist in linking different production processes in a supply chain system in order to implement the scope of just-in-time (JIT) philosophy. For a MSSCM, a mixed-integer nonlinear programming (MINLP) problem is formulated from the perspective of JIT delivery policy where a kanban may reflect to a transporter. Since the adopted model is of MINLP type and solving it by branch and bound (B&B) takes time, a metaheuristic is presented. This metaheuristic is an electromagnetic algorithm (EA). The EA is compared against an existing algorithm and also B&B results to evaluate the proposed metaheuristic. Extensive experiments and statistical analyses demonstrate that our proposed EM is more efficient than B&B with regard to the objective functions considered in this paper.