Title: Modelling a multi-objective problem for emergency response in disaster management: emphasising on mitigating the impact of the delay in the crisis severity
Authors: Mohd Anuar Arshad; Arshad Mahmood; Muhammad Salman Shabbir; Ahmed Faisal Siddiqi; Mazhar Abbas; Gadir Sleimany
Addresses: School of Management, Univeristi Sains Malaysia, Malaysia ' School of Management, Univeristi Sains Malaysia, Malaysia ' Department of Management, College of Commerce and Business Administration, Dhofar University, Sultanate of Oman ' UCP Business School, University of Central Punjab, Lahore, Pakistan ' Department of Management, College of Business Administration, MIS University of Hail, Kingdom of Saudi Arabia ' Department of Industrial Engineering, Faculty of Engineering, International Islamic Azad University, Parand, Iran
Abstract: Crises that occurred due to unexpected incidents significantly influence the society. Therefore, the availability of appropriate implementation programs in a truly critical context will strengthen the foundation of society in all areas, in one hand and, greatly reduce the financial losses, human casualties, and social, economic and environmental disruptions, on the other hand. Dispatched units should effectively be allocated and scheduled to reduce economic losses during the response phase. This article addresses the crisis logistics, including the processes of estimation, storing and distribution of goods, equipment, services affected people and relief teams, which must be delivered at the right time and in the right place to the appropriate extent and in a scientifically accurate manner with the least problems. This research presents a mathematical multi-objective model for managing natural disasters with a dispatch and control approach in emergency situations. Different emergency situations are discussed with crisis management.
Keywords: disaster management; emergency response; timing; force dispatch and control; math modelling; multi-objective model.
International Journal of Services and Operations Management, 2022 Vol.41 No.1/2, pp.224 - 240
Received: 28 Jun 2019
Accepted: 31 Dec 2019
Published online: 24 Mar 2022 *