A Procurement-distribution Coordination Model in Humanitarian Supply Chain Using the Information-sharing Mechanism

Authors

School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Abstract

The coordination problem of relief items’ distribution operations is essential in humanitarian relief chains. If the coordination is proper, it will improve the response phase to the crisis. In order to improve the coordination in humanitarian relief chains, distribution and warehousing operations of relief items were outsourced to the third-party logistics. In this paper, the procurement-distribution coordination problem in a humanitarian relief chain was studied by the information-sharing mechanism. For this purpose, three decision-making modes, including decentralized, centralized, and coordinated, were formulated to minimize the total cost of the relief chain in the form of mathematical modeling under uncertainty. In a decentralized model, humanitarian relief chains are independent of one another and pursue their own goals. In a centralized model, a central agent manages all activities, and in a coordinated model, independent members are communicated using the information-sharing mechanism. To illustrate the validity of the proposed model, the problem was implemented in the form of a numerical example. The results showed that the chain cost is high in the decentralized mode, total chain costs were reduced in the coordinated mode, and relief items were sent to affected areas without any shortage. 

Keywords


1.     Javadian, N., Modarres, S. and Bozorgi, A., "A bi-objective stochastic optimization model for humanitarian relief chain by using evolutionary algorithms", International Journal of Engineering-Transactions A: Basics,  Vol. 30, No. 10, (2017), 1526-1537.

2.     Guha-Sapir, D., Below, R. and Hoyois, P., "Em-dat: International disaster database", Catholic University of Louvain: Brussels, Belgium,  Vol. 27, No., (2015), 57-58.

3.     Yazdani, A., Shahpari, A. and Salimi, M., "The use of monte-carlo simulations in seismic hazard analysis in tehran and surrounding areas", International Journal of Engineering-Transactions C: Aspects,  Vol. 25, No. 2, (2012), 159-166.

4.     Dubey, R., Altay, N. and Blome, C., "Swift trust and commitment: The missing links for humanitarian supply chain coordination?", Annals of Operations Research,  Vol. 33, No. 3, (2017), 1-19.

5.     Kovács, G. and Spens, K., "Identifying challenges in humanitarian logistics", International Journal of Physical Distribution & Logistics Management,  Vol. 39, No. 6, (2009), 506-528.

6.     Dubey, R. and Altay, N., Drivers of coordination in humanitarian relief supply chains, in The palgrave handbook of humanitarian logistics and supply chain management. 2018, Springer.297-325.

7.     Balcik, B., Beamon, B.M., Krejci, C.C., Muramatsu, K.M. and Ramirez, M., "Coordination in humanitarian relief chains: Practices, challenges and opportunities", International Journal of Production Economics,  Vol. 126, No. 1, (2010), 22-34.

8.     Jung, H., Chen, F.F. and Jeong, B., "A production-distribution coordinating model for third party logistics partnership", in Automation Science and Engineering, 2005. IEEE International Conference on, IEEE., (2005), 99-104.

9.     Kanda, A. and Deshmukh, S., "Supply chain coordination: Perspectives, empirical studies and research directions", International Journal of Production Economics,  Vol. 115, No. 2, (2008), 316-335.

10.   Ertem, M.A., Buyurgan, N. and Rossetti, M.D., "Multiple-buyer procurement auctions framework for humanitarian supply chain management", International Journal of Physical Distribution & Logistics Management,  Vol. 40, No. 3, (2010), 202-227.

11.   Ertem, M.A., Buyurgan, N. and Pohl, E.A., "Using announcement options in the bid construction phase for disaster relief procurement", Socio-Economic Planning Sciences,  Vol. 46, No. 4, (2012), 306-314.

12.   Yi, W. and Özdamar, L., "A dynamic logistics coordination model for evacuation and support in disaster response activities", European Journal of Operational Research,  Vol. 179, No. 3, (2007), 1177-1193.

13.   Balcik, B., Beamon, B.M. and Smilowitz, K., "Last mile distribution in humanitarian relief", Journal of Intelligent Transportation Systems,  Vol. 12, No. 2, (2008), 51-63.

14.   Charles, A. and Lauras, M., "An enterprise modelling approach for better optimisation modelling: Application to the humanitarian relief chain coordination problem", OR spectrum,  Vol. 33, No. 3, (2011), 815-841.

15.   Duran, S., Gutierrez, M.A. and Keskinocak, P., "Pre-positioning of emergency items for care international", Interfaces,  Vol. 41, No. 3, (2011), 223-237.

16.   Huang, Y., Li, X. and Omitaomu, O., "Conceptual supernetwork model for coordination mechanisms in humanitarian relief chain", in IIE Annual Conference. Proceedings, Institute of Industrial and Systems Engineers (IISE)., (2011), 1-8.

17.   Sheu, J.-B. and Pan, C., "Relief supply collaboration for emergency logistics responses to large-scale disasters", Transportmetrica A: transport science,  Vol. 11, No. 3, (2015), 210-242.

18.   Rabbani, M., Zhalechian, M. and Farshbaf‐Geranmayeh, A., "A robust possibilistic programming approach to multiperiod hospital evacuation planning problem under uncertainty", International Transactions in Operational Research,  Vol. 25, No. 1, (2018), 157-189.