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Data-driven process redesign: anticipatory shipping in agro-food supply chains

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  • Nguyen Quoc Viet
  • Behzad Behdani
  • Jacqueline Bloemhof

Abstract

Anticipatory shipping uses historical order and customer data to predict future orders and accordingly ship products to the nearest distribution centres before customers actually place the orders. It is a method to meet the increasing customer requirements on delivery service and simultaneously to reduce operational costs. This paper presents a case of anticipatory shipping in the context of agro-food supply chains. The challenge in these chains is the product perishability that leads to product obsolescence in the case of un-balanced supply and demand. This study introduces a data-driven approach that integrates product quality characteristics in data analytics to identify suitable products for anticipatory shipping at the strategic level. It also proposes process redesigns concerning production and transportation at the operational level to realise anticipatory shipping. Finally, using historical data from a Dutch floriculture supplier as input for a multi-agent simulation, the proposed approach and process redesigns are verified. The simulation output shows that anticipatory shipping could increase delivery service level up to 35.3% and reduce associated costs up to 9.3%.

Suggested Citation

  • Nguyen Quoc Viet & Behzad Behdani & Jacqueline Bloemhof, 2020. "Data-driven process redesign: anticipatory shipping in agro-food supply chains," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1302-1318, March.
  • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:5:p:1302-1318
    DOI: 10.1080/00207543.2019.1629673
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    Cited by:

    1. Margherita Bernabei & Marco Eugeni & Paolo Gaudenzi & Francesco Costantino, 2023. "Assessment of Smart Transformation in the Manufacturing Process of Aerospace Components Through a Data-Driven Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 67-86, March.

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