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The impact of control strategies on the management of returnable transport items

Author

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  • Hellström, Daniel
  • Johansson, Ola

Abstract

This research examines the impact of different control strategies on the management of returnable transport items (RTIs) in closed-loop supply chains. A simulation model is developed based on an empirical case and is used to explore different scenarios. The results suggest that the choice of control strategy has a significant impact on investments and operating costs, and that RTI shrinkage can be controlled either through the use of tracking systems, or choice of control strategy. Moreover, a simulation-based method for estimating the fleet size required to operate the system for the different strategies is presented.

Suggested Citation

  • Hellström, Daniel & Johansson, Ola, 2010. "The impact of control strategies on the management of returnable transport items," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 1128-1139, November.
  • Handle: RePEc:eee:transe:v:46:y:2010:i:6:p:1128-1139
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    Citations

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    Cited by:

    1. Yann Le Roch & Eric Ballot & Xavier Perraudin, 2014. "A new framework for the management of returnable "containers" within open supply networks," Post-Print hal-01082529, HAL.
    2. Zolfagharinia, Hossein & Hafezi, Maryam & Farahani, Reza Zanjirani & Fahimnia, Behnam, 2014. "A hybrid two-stock inventory control model for a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 141-161.
    3. Julio C. Londoño & Rafael D. Tordecilla & Leandro do C. Martins & Angel A. Juan, 2021. "A biased-randomized iterated local search for the vehicle routing problem with optional backhauls," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 387-416, July.
    4. Mihi Ramírez, Antonio, 2012. "Product return and logistics knowledge: Influence on performance of the firm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1137-1151.
    5. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    6. Lehner, Roland, 2023. "Cross-Supply Chain Collaboration Platform for Pallet Management," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138753, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Sebastjan Škerlič & Robert Muha, 2020. "A Model for Managing Packaging in the Product Life Cycle in the Automotive Industry," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    8. Volker Trauzettel, 2015. "A Case Study On Optimizing Parts Supply In Manufacturing By Reusable Containers," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 15, pages 161-174.
    9. Mahmoudi, Monirehalsadat & Parviziomran, Irandokht, 2020. "Reusable packaging in supply chains: A review of environmental and economic impacts, logistics system designs, and operations management," International Journal of Production Economics, Elsevier, vol. 228(C).
    10. Vanga, Ratnaji & Venkateswaran, Jayendran, 2020. "Fleet sizing of reusable articles under uncertain demand and turnaround times," European Journal of Operational Research, Elsevier, vol. 285(2), pages 566-582.
    11. Zhang, Qinhong & Segerstedt, Anders & Tsao, Yu-Chung & Liu, Biyu, 2015. "Returnable packaging management in automotive parts logistics: Dedicated mode and shared mode," International Journal of Production Economics, Elsevier, vol. 168(C), pages 234-244.
    12. 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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