Disaster resilient proactive and reactive procurement models for humanitarian supply chain

Abstract

Global and complex supply chains are being increasingly exposed to the disruptions caused by disasters occurring in any part of the world. As a result, the business firms are facing a challenge to design resilient supply chains which could avoid or at least minimise the effect of disruptions caused by natural or manmade disasters. Procurement being one of the initial supply chain activity ensures undisrupted supply of raw material. In global business operations, especially in global sourcing, any disaster is likely to effect the entire supply chain. Therefore, the procurement planning of a business organisation must consider the disaster resilience aspect. The paper proposes disaster resilient procurement framework. The framework involves resilient supplier selection process as a proactive approach to disaster resilient supply chain. The paper also proposes two mathematical models for disaster resilient procurement for both proactive and reactive situations. In proactive situation, the model preferably allocates orders to disaster resilient suppliers. However, in disruptions, the proposed reactive model considers disruptions and reallocate orders to minimise penalties incurred on any shortages. Hence, the proposed framework aims to achieve operational excellence by minimising the risk/effect of disruptions and cost at the same time which is also demonstrated using different case scenarios.

Keywords:

• Humanitarian supply chain
• disaster
• resilience
• procurement
• reactive
• proactive
• cost analysis
• mathematical models

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Harpreet Kaur

Harpreet Kaur is an Assistant Professor in the area of Operations and Decision Sciences at Birla Institute of Management and Technology (BIMTECH) Greater Noida, India. She holds PhD from Department of Management Studies, I.I.T. Delhi, India. She holds a B.Tech from NIT Jalandhar. She earned her M.Tech from I.I.T. Delhi. Her research interests include operations research and operations management. Currently he is working in the area of optimising operations management through modelling the problem. Her research works appeared in International Journal of Production Research, Computers & Operations Research, Annals of Operations Research, Management of Environmental Quality, International Journal of Procurement Management, International Journal of Operational Research, and International Journal of Fuzzy System.

Surya Prakash Singh

Surya Prakash Singh is an Associate Professor in the Department of Management Studies, Indian Institute of Technology (I.I.T.) Delhi, India. He holds PhD from I.I.T. Kanpur. He is also a Post-Doctoral Fellow from NUS Singapore-MIT USA alliance. His research interest includes facility layout/location problems, procurement, supplier selection, flexible and sustainable operations, Industry 4.0, Block Chain in Operations, Big Data analytics, and developing heuristics and meta-heuristics approaches. His work has been published in leading journals to name few: International Journal of Production Research, International Journal of Advanced Manufacturing Technology, Computers & Operations Research, Computers & Industrial Engineering, Annals of Operations Research, Production Planning & Control, Technological Forecasting & Social Change, Management Decisions, Management of Environmental Quality, Benchmarking: An International Journal, Expert System With Applications, Food Control, Global Journal of Flexible Systems in Management, International Journal of Procurement Management, International Journal of Operational Research, International Journal of Fuzzy System and Asia Pacific Journal of Management Research. So far, more than 120 papers have been published in journals and proceedings.