Title: A stochastic planning model for humanitarian relief response logistics

Authors: M. Safeer; S.P. Anbuudayasankar; P.G. Saleeshya; K. Ganesh

Addresses: Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, India ' Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, India ' Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, India ' Supply Chain Management – Center of Competence, McKinsey & Company, Inc., Chennai – 600113, India

Abstract: During emergencies, decision making to support relief preparedness and response activities are challenging task requiring quick and effective action from responders under uncertainty conditions. This paper proposes a response planning stochastic model for humanitarian transportation operations. The objective of this proposed model is to minimise total transportation duration during emergency situations. This model aims to maximise satisfaction levels through attaining quick response which can help in making decisions on disaster relief logistics.

Keywords: humanitarian relief logistics; relief preparedness; stochastic modelling; emergency transport; relief distribution; vehicle routing problem; VRP; emergency planning; emergency management; emergency response; humanitarian response; disaster relief; emergency relief.

DOI: 10.1504/IJENM.2016.078971

International Journal of Enterprise Network Management, 2016 Vol.7 No.3, pp.250 - 259

Received: 28 Nov 2014
Accepted: 22 Jan 2015
Published online: 08 Sep 2016 *

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