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Modelling the Returnable Transport Items (RTI) Short-Term Planning Problem

Author

Listed:
  • Najoua Lakhmi

    (Université Paris-Saclay, CentraleSupélec, Laboratoire Génie Industriel, 3 rue Joliot-Curie, 91190 Gif-sur-Yvette, France)

  • Evren Sahin

    (Université Paris-Saclay, CentraleSupélec, Laboratoire Génie Industriel, 3 rue Joliot-Curie, 91190 Gif-sur-Yvette, France)

  • Yves Dallery

    (Université Paris-Saclay, CentraleSupélec, Laboratoire Génie Industriel, 3 rue Joliot-Curie, 91190 Gif-sur-Yvette, France)

Abstract

Returnable transport items (RTI) are used for the handling and transportation of products in the supply chain. Examples of RTIs include plastic polyboxes, stillages or pallets. We consider a network where RTIs are used by multiple suppliers to deliver parts packed in RTIs to multiple customers. We address the short-term planning of empty-RTI flows (i.e., reverse flows) which consists of optimizing the transportation routes used to return empty RTIs from customers to suppliers. A transportation route consists of one or several trucks traveling from a customer to a supplier at a given frequency. The RTI short-term planning problem is critical because it impacts the continuity of loaded-RTI flows and affects the transportation and shortage costs of empty RTIs incurred at the very-short-term. We study a heterogeneous fleet of automotive parts RTIs, under two configurations: pool RTIs, which are standard RTIs shared between suppliers, and dedicated RTIs that are specific to each supplier. To solve the short-term planning problem, we develop a two-step approach using mixed-integer linear programming (MILP) and a greedy heuristic. For pool RTIs, our models enable a reduction of 30% in the number of trucks used and 20% in the distance traveled. Furthermore, if dedicated and pool RTIs are jointly planned, this would enable a 9% gain in terms of transportation costs.

Suggested Citation

  • Najoua Lakhmi & Evren Sahin & Yves Dallery, 2022. "Modelling the Returnable Transport Items (RTI) Short-Term Planning Problem," Sustainability, MDPI, vol. 14(24), pages 1-23, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16796-:d:1003598
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    References listed on IDEAS

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    1. Kim, T. & Glock, C. H., 2014. "On the use of RFID in the management of reusable containers in closed-loop supply chains under stochastic container return quantities," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63689, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Xiangxiang Fan & Yeming Gong & Xianhao Xu & Bipan Zou, 2019. "Optimal decisions in reducing loss rate of returnable transport items," Post-Print hal-02312287, HAL.
    3. Riccardo Accorsi & Giulia Baruffaldi & Riccardo Manzini & Chiara Pini, 2019. "Environmental Impacts of Reusable Transport Items: A Case Study of Pallet Pooling in a Retailer Supply Chain," Sustainability, MDPI, vol. 11(11), pages 1-13, June.
    4. Tanksale, Ajinkya N. & Das, Debabrata & Verma, Priyanka & Tiwari, Manoj Kumar, 2021. "Unpacking the role of primary packaging material in designing green supply chains: An integrated approach," International Journal of Production Economics, Elsevier, vol. 236(C).
    5. Fatima Ezzahra Achamrah & Fouad Riane & Evren Sahin & Sabine Limbourg, 2022. "An Artificial-Immune-System-Based Algorithm Enhanced with Deep Reinforcement Learning for Solving Returnable Transport Item Problems," Sustainability, MDPI, vol. 14(10), pages 1-29, May.
    6. Eleonora Bottani & Giorgia Casella, 2018. "Minimization of the Environmental Emissions of Closed-Loop Supply Chains: A Case Study of Returnable Transport Assets Management," Sustainability, MDPI, vol. 10(2), pages 1-20, January.
    7. Fabiana Tornese & Maria Grazia Gnoni & Brian K. Thorn & Andres L. Carrano & Jennifer A. Pazour, 2021. "Management and Logistics of Returnable Transport Items: A Review Analysis on the Pallet Supply Chain," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
    8. Byungsoo Na & Min Kyu Sim & Won Ju Lee, 2019. "An Optimal Purchase Decision of Reusable Packaging in the Automotive Industry," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
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