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Quantitative approaches for the integration of production and distribution planning in the supply chain: a systematic literature review

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  • Ramesh Kumar
  • L. Ganapathy
  • Ravindra Gokhale
  • Manoj Kumar Tiwari

Abstract

Production and distribution are the two primary internal elements of the supply chain. This paper presents a systematic literature review (SLR) of quantitative approaches for the integration of production and distribution planning (IPDP) in the supply chain. We provide a classification framework with eight dimensions and give a brief overview of the quantitative approaches such as modelling approaches and solution approaches for the IPDP problem in the supply chain. The SLR has been carried out using two basic search databases Scopus and Web of Science. In all, we identify relevant articles in the period from 2000 to 2019. We also highlight certain research opportunities, suggestions, and research gaps for possible future research by assessing the current knowledge on the quantitative approaches for IPDP problems in the supply chain.

Suggested Citation

  • Ramesh Kumar & L. Ganapathy & Ravindra Gokhale & Manoj Kumar Tiwari, 2020. "Quantitative approaches for the integration of production and distribution planning in the supply chain: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3527-3553, June.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:11:p:3527-3553
    DOI: 10.1080/00207543.2020.1762019
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    Cited by:

    1. Eduardo Guzman & Beatriz Andres & Raul Poler, 2022. "A Decision-Making Tool for Algorithm Selection Based on a Fuzzy TOPSIS Approach to Solve Replenishment, Production and Distribution Planning Problems," Mathematics, MDPI, vol. 10(9), pages 1-28, May.
    2. Berghman, Lotte & Kergosien, Yannick & Billaut, Jean-Charles, 2023. "A review on integrated scheduling and outbound vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 311(1), pages 1-23.
    3. Brylowski, Martin & Schröder, Meike & Lodemann, Sebastian & Kersten, Wolfgang, 2021. "Machine learning in supply chain management: A scoping review," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 377-406, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Firmansyah Firmansyah & Herman Mawengkang & Abdul Mujib & Devy Mathelinea, 2022. "A Decision Model to Plan Optimally Production-Distribution of Seafood Product with Multiple Locations," Mathematics, MDPI, vol. 10(18), pages 1-13, September.

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