A Differential Evolution Heuristic for Integrated Production-Distribution Scheduling in Supply Chain Management
International Journal of Theoretical and Applied Mathematics
Volume 3, Issue 6, December 2017, Pages: 210-218
Received: Sep. 27, 2016;
Accepted: Jan. 5, 2017;
Published: Dec. 18, 2017
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Setareh Abedinzadeh, Department of Industrial Engineering, University of Science and Culture, Tehran, Iran
Hamid Reza Erfanian, Department of Mathematics, University of Science and Culture, Tehran, Iran
Mojtaba Arabmomeni, Department of Industrial Engineering, University of Science and Technology, Tehran, Iran
Roya Soltani, Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
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A supply chain may be considered as an integrated process in which a group of several organizations, work together. The two core optimization problems in a supply chain are production and distribution planning. In this research, we develop an integrated production-distribution (P-D) model. The problem is formulated as a mixed integer programming (MIP) model, which could then be solved using GAMS optimization software. A differential evolution (DE) algorithm is applied to solve large-sized MIP models. To the best of our knowledge, it is the first paper which applied DE algorithm to solve the integrated (P-D) planning models in supply chain management (SCM). The solutions obtained by GAMS are compared with those obtained from DE and the results show that DE is efficient in terms of computational time and the quality of solutions obtained.
Integrated Production-Distribution Planning, Supply Chain Management, Differential Evolution Algorithm, Scheduling, Vehicle Routing Problem
To cite this article
Hamid Reza Erfanian,
A Differential Evolution Heuristic for Integrated Production-Distribution Scheduling in Supply Chain Management, International Journal of Theoretical and Applied Mathematics.
Vol. 3, No. 6,
2017, pp. 210-218.
Copyright © 2017 Authors retain the copyright of this article.
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