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Transportation delays in reverse logistics

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  • Bogataj, Marija
  • Grubbström, Robert W.

Abstract

In this paper we extend and apply MRP theory towards reverse logistics including the considerations of transportation consequences. Our aim is to demonstrate the versatility obtained from using MRP theory when combining Input–Output Analysis and Laplace transforms. This enables an analysis of a supply chain including four sub-systems, namely manufacturing, distribution, consumption and reverse logistics, where the geographical distance between the activities play an important role. The main focus in this paper is on reverse logistics (recycling, remanufacturing). Especially we wish to model the evaluation of disposal and reverse activities far away from agglomerations, which often means an improved environment for nearby inhabitants. This is also illustrated in a numerical example. We use the Net Present Value as a measure of the economic performance.

Suggested Citation

  • Bogataj, Marija & Grubbström, Robert W., 2013. "Transportation delays in reverse logistics," International Journal of Production Economics, Elsevier, vol. 143(2), pages 395-402.
    • Handle: RePEc:eee:proeco:v:143:y:2013:i:2:p:395-402
    DOI: 10.1016/j.ijpe.2011.12.007
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    1. Bogataj, Marija & Grubbström, Robert W. & Bogataj, Ludvik, 2011. "Efficient location of industrial activity cells in a global supply chain," International Journal of Production Economics, Elsevier, vol. 133(1), pages 243-250, September.
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    Cited by:

    1. 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.
    2. Grubbström, Robert W., 2021. "Production decisions based on absolute vs. relative risk aversion and their extensions," International Journal of Production Economics, Elsevier, vol. 234(C).
    3. Kovačić, Danijel & Usenik, Janez & Bogataj, Marija, 2017. "Optimal decisions on investments in Urban Energy Cogeneration plants – Extended MRP and fuzzy approach to the stochastic systems," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 583-595.
    4. Bogataj, David & Bogataj, Marija & Hudoklin, Domen, 2017. "Reprint of “Mitigating risks of perishable products in the cyber-physical systems based on the extended MRP model”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 113-125.
    5. Bogataj, David & Bogataj, Marija & Drobne, Samo, 2019. "Interactions between flows of human resources in functional regions and flows of inventories in dynamic processes of global supply chains," International Journal of Production Economics, Elsevier, vol. 209(C), pages 215-225.
    6. Danijel Kovačić & Eloy Hontoria & Lorenzo Ros-McDonnell & Marija Bogataj, 2015. "Location and lead-time perturbations in multi-level assembly systems of perishable goods in Spanish baby food logistics," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(3), pages 607-623, September.
    7. Bogataj, D. & Aver, B. & Bogataj, M., 2016. "Supply chain risk at simultaneous robust perturbations," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 68-78.
    8. Bogataj, David & Bogataj, Marija & Hudoklin, Domen, 2017. "Mitigating risks of perishable products in the cyber-physical systems based on the extended MRP model," International Journal of Production Economics, Elsevier, vol. 193(C), pages 51-62.
    9. Bogataj, David & Battini, Daria & Calzavara, Martina & Persona, Alessandro, 2019. "The ageing workforce challenge: Investments in collaborative robots or contribution to pension schemes, from the multi-echelon perspective," International Journal of Production Economics, Elsevier, vol. 210(C), pages 97-106.
    10. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).
    11. Sarkar, Biswajit & Guchhait, Rekha & Sarkar, Mitali & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "How does an industry manage the optimum cash flow within a smart production system with the carbon footprint and carbon emission under logistics framework?," International Journal of Production Economics, Elsevier, vol. 213(C), pages 243-257.

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