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A stochastic dairy transportation problem considering collection and delivery phases

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  • Huang, Kuancheng
  • Wu, Kun-Feng
  • Ardiansyah, Muhammad Nashir

Abstract

Based on the dairy cooperatives in Indonesia, this study formulates a stochastic programming model to handle the milk collection and delivery process with the maximum route duration limitation, the external cooling facility option, and travel time uncertainty. Besides, the local practice of sharing the fleet for both collection and delivery further complicates the decision. A set covering-based solution approach is used, due to its flexibility in handling complicated operational requirements and alignment with the decision environment. According to the numerical experiment, the proposed solution algorithm can provide quality solutions with a reasonable computational time for the cooperative operators.

Suggested Citation

  • Huang, Kuancheng & Wu, Kun-Feng & Ardiansyah, Muhammad Nashir, 2019. "A stochastic dairy transportation problem considering collection and delivery phases," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 325-338.
    • Handle: RePEc:eee:transe:v:129:y:2019:i:c:p:325-338
    DOI: 10.1016/j.tre.2018.01.018
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    References listed on IDEAS

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    Cited by:

    1. Paredes-Belmar, Germán & Montero, Elizabeth & Lüer-Villagra, Armin & Marianov, Vladimir & Araya-Sassi, Claudio, 2022. "Vehicle routing for milk collection with gradual blending: A case arising in Chile," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1403-1416.
    2. Jiang, Bowen & Fan, Zhi-Ping, 2020. "Optimal allocation of shared parking slots considering parking unpunctuality under a platform-based management approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    3. Olcay Polat & Duygu Topaloğlu, 2022. "Collection of different types of milk with multi-tank tankers under uncertainty: a real case study," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 1-33, April.
    4. Subrat Sarangi & Sudipta Sarangi & Nasim S. Sabounchi, 2023. "How managerial perspectives affect the optimal fleet size and mix model: a multi-objective approach," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 1-23, March.
    5. Mangla, Sachin Kumar & Kazancoglu, Yigit & Ekinci, Esra & Liu, Mengqi & Özbiltekin, Melisa & Sezer, Muruvvet Deniz, 2021. "Using system dynamics to analyze the societal impacts of blockchain technology in milk supply chainsrefer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).

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