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An Integrated Optimization Approach for Production-Distribution Planning in Supply Chain

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Web Information Systems and Applications (WISA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12432))

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Abstract

Under the new mode of green supply chain management, in order to overcome the trade-off problem caused by independent optimization, from the global perspective, coordinating forward logistics and reverse logistics effectively, integrating optimization the closed-loop structure of production and distribution planning is very important. In this paper, aiming at the integrated Production–Distribution–Recycle problem which consists of lot sizing, vehicle routing and recycling simultaneously, a mathematical model is established. In view of the complexity of the problem studied, a hybrid optimization algorithm with a combination of harmony search algorithm and genetic algorithm is proposed to solve the problem. Experiments are conducted on four different scale problems adopting integrated approach and decoupled approach respectively. Results show the superiority of integrated optimization approach.

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Acknowledgement

This work is supported by the Tianjin Philosophy Social Science Research General Project (No. TJGL16-032).

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Correspondence to Lingjuan Hou .

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Hou, L., Sun, C., Hou, Z. (2020). An Integrated Optimization Approach for Production-Distribution Planning in Supply Chain. In: Wang, G., Lin, X., Hendler, J., Song, W., Xu, Z., Liu, G. (eds) Web Information Systems and Applications. WISA 2020. Lecture Notes in Computer Science(), vol 12432. Springer, Cham. https://doi.org/10.1007/978-3-030-60029-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-60029-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60028-0

  • Online ISBN: 978-3-030-60029-7

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