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Multi-period multi-echelon inventory transportation problem considering stakeholders behavioural tendencies

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  • De, Arijit
  • Mogale, D.G.
  • Zhang, Mengdi
  • Pratap, Saurabh
  • Kumar, Sri Krishna
  • Huang, George Q.

Abstract

An inventory transportation problem of manufacturing organization focusing on several stakeholders such as manufacturers, distributors, wholesalers, retailers and customers is addressed in this paper. The research study considered multi-echelon, multi-product, multi-modal and multi-period scenario. The mathematical model in the form of mixed integer non-linear programming is formulated to minimize the total cost associated with transportation, inventory holding and operational activities. A mathematical formulation based heuristic approach, which comprises of four algorithms, is proposed for solving purpose. The proposed heuristic approach considers the behavioural tendencies of stakeholders pertaining to the selection of shipment routes, transportation mode choice decisions and amount of products to be shipped. Fifteen practical problem instances are solved by using the developed heuristic approach while considering the behavioural aspects of stakeholders. Insights obtained from results will be beneficial for manufacturing organizations in making informed decisions related to transportation planning considering stakeholder's behavioural tendencies.

Suggested Citation

  • De, Arijit & Mogale, D.G. & Zhang, Mengdi & Pratap, Saurabh & Kumar, Sri Krishna & Huang, George Q., 2020. "Multi-period multi-echelon inventory transportation problem considering stakeholders behavioural tendencies," International Journal of Production Economics, Elsevier, vol. 225(C).
  • Handle: RePEc:eee:proeco:v:225:y:2020:i:c:s0925527319304098
    DOI: 10.1016/j.ijpe.2019.107566
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    1. Panda, S. & Modak, N.M. & Basu, M. & Goyal, S.K., 2015. "Channel coordination and profit distribution in a social responsible three-layer supply chain," International Journal of Production Economics, Elsevier, vol. 168(C), pages 224-233.
    2. Wu, Ting & Shen, Houcai & Zhu, Cheng, 2015. "A multi-period location model with transportation economies-of-scale and perishable inventory," International Journal of Production Economics, Elsevier, vol. 169(C), pages 343-349.
    3. Amir Samimi & Kazuya Kawamura & Abolfazl Mohammadian, 2011. "A behavioral analysis of freight mode choice decisions," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(8), pages 857-869, June.
    4. Villa, Sebastián & Castañeda, Jaime Andrés, 2018. "Transshipments in supply chains: A behavioral investigation," European Journal of Operational Research, Elsevier, vol. 269(2), pages 715-729.
    5. Moin, N.H. & Salhi, S. & Aziz, N.A.B., 2011. "An efficient hybrid genetic algorithm for the multi-product multi-period inventory routing problem," International Journal of Production Economics, Elsevier, vol. 133(1), pages 334-343, September.
    6. Moreno, Alfredo & Alem, Douglas & Ferreira, Deisemara & Clark, Alistair, 2018. "An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1050-1071.
    7. Sainathuni, Bhanuteja & Parikh, Pratik J. & Zhang, Xinhui & Kong, Nan, 2014. "The warehouse-inventory-transportation problem for supply chains," European Journal of Operational Research, Elsevier, vol. 237(2), pages 690-700.
    8. Konstantinos Petridis, 2015. "Optimal design of multi-echelon supply chain networks under normally distributed demand," Annals of Operations Research, Springer, vol. 227(1), pages 63-91, April.
    9. Ge, Houtian & Nolan, James & Gray, Richard & Goetz, Stephan & Han, Yicheol, 2016. "Supply chain complexity and risk mitigation – A hybrid optimization–simulation model," International Journal of Production Economics, Elsevier, vol. 179(C), pages 228-238.
    10. Zhao, Yingshuai & Zhao, Xiaobo, 2015. "On human decision behavior in multi-echelon inventory management," International Journal of Production Economics, Elsevier, vol. 161(C), pages 116-128.
    11. Peres, Igor T. & Repolho, Hugo M. & Martinelli, Rafael & Monteiro, Nathália J., 2017. "Optimization in inventory-routing problem with planned transshipment: A case study in the retail industry," International Journal of Production Economics, Elsevier, vol. 193(C), pages 748-756.
    12. Saberi, Sara & Cruz, Jose M. & Sarkis, Joseph & Nagurney, Anna, 2018. "A competitive multiperiod supply chain network model with freight carriers and green technology investment option," European Journal of Operational Research, Elsevier, vol. 266(3), pages 934-949.
    13. Sarkar, Sourish & Kumar, Sanjay, 2015. "A behavioral experiment on inventory management with supply chain disruption," International Journal of Production Economics, Elsevier, vol. 169(C), pages 169-178.
    14. Ravi Shankar Kumar & Alok Choudhary & Soudagar A. K. Irfan Babu & Sri Krishna Kumar & A. Goswami & M. K. Tiwari, 2017. "Designing multi-period supply chain network considering risk and emission: a multi-objective approach," Annals of Operations Research, Springer, vol. 250(2), pages 427-461, March.
    15. Pan, Feng & Nagi, Rakesh, 2013. "Multi-echelon supply chain network design in agile manufacturing," Omega, Elsevier, vol. 41(6), pages 969-983.
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