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A Mixed-Integer Programming Model to Configure a Post Supply Chain Network

Author

Listed:
  • Melika Parichehreh

    (Mazandaran University of Science and Technology)

  • Nikbakhsh Javadian

    (Mazandaran University of Science and Technology)

Abstract

Points of distribution, sales or service are important elements of the supply chain. These are the final elements which are responsible for proper functioning of the whole cargo distribution process. Proper location of these points in the transport network is essential to ensure the effectiveness and reliability of the supply chain. The location of these points is very important also from the consumer’s point of view. In this paper, a mathematical model is proposed to design of a post supply chain network to minimize transportation cost, facilities location cost and holding cost. The proposed supply chain network consists of four echelons: supplier, post office, distribution center, and recipient. The bold point of this study is as regards the post supply chain is examined, the demand of the recipient’s point determines in supplier point not in delivery point. Finally, the proposed model is solved by LINGO 17 software and the results are analyzed.

Suggested Citation

  • Melika Parichehreh & Nikbakhsh Javadian, 2020. "A Mixed-Integer Programming Model to Configure a Post Supply Chain Network," Annals of Data Science, Springer, vol. 7(2), pages 281-290, June.
    • Handle: RePEc:spr:aodasc:v:7:y:2020:i:2:d:10.1007_s40745-020-00268-y
    DOI: 10.1007/s40745-020-00268-y
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    References listed on IDEAS

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    1. Fahimeh Aliakbari Nouri & Mohsen Shafiei Nikabadi & Laya Olfat, 2019. "The Role of Supply Chain Features in the Effectiveness of Sustainability Practices in the Service Supply Chain: Application of Fuzzy Rule-Based System," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 867-899, May.
    2. Sun, Li & Zhao, Lindu & Hou, Jing, 2015. "Optimization of postal express line network under mixed driving pattern of trucks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 147-169.
    3. Qian Qian & Yang Yang & Zong-Fang Zhou, 2019. "Research on Trade Credit Spreading and Credit Risk within the Supply Chain," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 389-411, January.
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    Cited by:

    1. Rahul Sawant & Anish Kumar & Vineet Kumar Yadav, 2024. "Modelling medical oxygen supply chain network under demand uncertainty using stochastic programming," OPSEARCH, Springer;Operational Research Society of India, vol. 61(4), pages 2158-2190, December.

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