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A harmony search-based memetic optimization model for integrated production and transportation scheduling in MTO manufacturing

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  • Guo, Zhaoxia
  • Shi, Leyuan
  • Chen, Longchao
  • Liang, Yong

Abstract

This paper investigates an integrated production and transportation scheduling problem in an MTO supply chain. A harmony search-based memetic optimization model is developed to handle this problem, in which certain heuristic procedures are proposed to convert the investigated problem into an order assignment problem. A novel improvisation process is also proposed to improve the optimum-seeking performance. The effectiveness of the proposed model is validated by numerical experiments. The experimental results show that (1) the proposed model can solve the investigated problem effectively and that (2) the proposed memetic optimization process exhibits better optimum-seeking performance than genetic algorithm-based and traditional memetic optimization processes.

Suggested Citation

  • Guo, Zhaoxia & Shi, Leyuan & Chen, Longchao & Liang, Yong, 2017. "A harmony search-based memetic optimization model for integrated production and transportation scheduling in MTO manufacturing," Omega, Elsevier, vol. 66(PB), pages 327-343.
  • Handle: RePEc:eee:jomega:v:66:y:2017:i:pb:p:327-343
    DOI: 10.1016/j.omega.2015.10.012
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    2. Sun, X.T. & Chung, S.H. & Chan, Felix T.S. & Wang, Zheng, 2018. "The impact of liner shipping unreliability on the production–distribution scheduling of a decentralized manufacturing system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 242-269.
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    6. Md Ashikur Rahman & Rajalingam Sokkalingam & Mahmod Othman & Kallol Biswas & Lazim Abdullah & Evizal Abdul Kadir, 2021. "Nature-Inspired Metaheuristic Techniques for Combinatorial Optimization Problems: Overview and Recent Advances," Mathematics, MDPI, vol. 9(20), pages 1-32, October.

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