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Efficient location of industrial activity cells in a global supply chain

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  • Bogataj, Marija
  • Grubbström, Robert W.
  • Bogataj, Ludvik

Abstract

Inefficient locations for production, distribution and reverse logistics plants will result in excess costs no matter how well material requirements planning (MRP), inventory control, distribution and information sharing decisions are optimized. In this paper we study ways in which aspect of activity cell location decisions can be analyzed within an extended MRP model. This model has previously been extended by including distribution and reverse logistics components in a compact form, presented in Grubbström et al. (2007). Our aim is to demonstrate the basic differences between an approach to location problems with MRP "under the same roof" as the global supply chain, in which transportation time delays and direct transportation costs have substantial influence. We discuss possibilities of how to present location aspects in the supply chain model obtained from combining input-output analysis and Laplace transforms in four sub-systems, namely manufacturing, distribution, consumption and reverse logistics, and show how the transportation costs and lead time influenced by the location of all these activities affect the resulting net present value (NPV). Our aim is to build a model supporting decisions concerning the structure of a supply chain as an alternative to a mixed integer programming formulation. The model developed is based on the use of continuous functions describing spatial distributions of cost and customer demand. Continuous functions are embedded in the MRP extension previously introduced in Grubbström et al. (2007). Location decisions influence (i) production costs, because timing influences the cost of activities involved in creating a product, cf. (Grubbström and Bogataj, submitted for publication), and (ii) logistics costs, which refer to the procurement and physical transmission of materials through the supply chain. In this current paper we wish to combine both of these aspects into a comprehensive model, where we show the interaction between the "space of flows" and the "space of places" as Giovanni Arrighi distinguishes one from the other in his book The Long Twentieth Century.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:proeco:v:133:y:2011:i:1:p:243-250
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    References listed on IDEAS

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    1. Lawrence D. Burns & Randolph W. Hall & Dennis E. Blumenfeld & Carlos F. Daganzo, 1985. "Distribution Strategies that Minimize Transportation and Inventory Costs," Operations Research, INFORMS, vol. 33(3), pages 469-490, June.
    2. Tönu Puu, 1997. "Mathematical Location and Land Use Theory," Advances in Spatial Science, Springer, number 978-3-662-03439-2.
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    Cited by:

    1. Panagiotis Trivellas & Georgios Malindretos & Panagiotis Reklitis, 2020. "Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector," Sustainability, MDPI, vol. 12(24), pages 1-29, December.
    2. Francisco Campuzano-Bolarín & Fulgencio Marín-García & José Andrés Moreno-Nicolás & Marija Bogataj & David Bogataj, 2021. "Network Simulation Method for the evaluation of perturbed supply chains on a finite horizon," 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. 29(3), pages 823-839, September.
    3. Bogataj, Marija & Grubbström, Robert W., 2013. "Transportation delays in reverse logistics," International Journal of Production Economics, Elsevier, vol. 143(2), pages 395-402.
    4. 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.
    5. Francisco Campuzano-Bolarín & Fulgencio Marín-García & José Andrés Moreno-Nicolás & Marija Bogataj & David Bogataj, 2019. "Supply Chain Risk of Obsolescence at Simultaneous Robust Perturbations," Sustainability, MDPI, vol. 11(19), pages 1-18, October.
    6. Andrés Fernández-Miguel & Maria Pia Riccardi & Valerio Veglio & Fernando E. García-Muiña & Alfonso P. Fernández del Hoyo & Davide Settembre-Blundo, 2022. "Disruption in Resource-Intensive Supply Chains: Reshoring and Nearshoring as Strategies to Enable Them to Become More Resilient and Sustainable," Sustainability, MDPI, vol. 14(17), pages 1-13, August.
    7. 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.
    8. 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.
    9. Xiaoping Fang & Zhang Ji & Zhiya Chen & Weiya Chen & Chao Cao & Jinrong Gan, 2020. "Synergy Degree Evaluation of Container Multimodal Transport System," Sustainability, MDPI, vol. 12(4), pages 1-26, February.
    10. Zhou, Xiaoguang & Zhou, Yanhui, 2015. "Designing a multi-echelon reverse logistics operation and network: A case study of office paper in Beijing," Resources, Conservation & Recycling, Elsevier, vol. 100(C), pages 58-69.
    11. 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.
    12. Danijel Kovačić & Marija Bogataj, 2013. "Reverse logistics facility location using cyclical model of extended MRP theory," 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. 21(1), pages 41-57, June.
    13. Jesús F. Lampón & Pablo Cabanelas-Lorenzo & Santiago Lago-Peñas, 2013. "Why firms relocate their production overseas? The answer lies inside: corporate, logistic and technological determinants," Working Papers 2013/3, Institut d'Economia de Barcelona (IEB).
    14. 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.
    15. Jesús F. Lampón & Pablo Cabanelas-Lorenzo & Santiago Lago-Peñas, 2013. "Why firms relocate their production overseas? The answer lies inside: corporate, logistic and technological determinants," Working Papers 2013/3, Institut d'Economia de Barcelona (IEB).
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Semanur Soyyiğit & Yasemin Asu Çırpıcı, 2017. "An Input-Output Network Structure Analysis Of Selected Countries," Yildiz Social Science Review, Yildiz Technical University, vol. 3(2), pages 65-88.

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