Title: Goal programming and data envelopment analysis approach to disaster relief supply chain design

Authors: Jae-Dong Hong; Ki-Young Jeong

Addresses: Industrial Engineering, South Carolina State University, 300 College Street NE, Orangeburg, South Carolina 29117, USA ' Engineering Management, University of Houston at Clear Lake, 2700 Bay Area Blvd., Houston, TX 77058, USA

Abstract: The objective of this paper is to present and demonstrate the use of goal programming and data envelopment analysis (GP-DEA) framework for the disaster relief supply chain (DRSC) design problem to help decision-makers who are responsible for disaster planning and management. For this, we develop a GP model with multi-objective functions, and each of the results from the GP is considered as a decision making unit (DMU). The impacts of the emergency relief facilities (ERFs) and the distribution channels between the facilities are evaluated and quantified concerning the efficiency and robustness. A case study using historical data in South Carolina is analysed with the framework. We identify that GP-DEA framework optimizes and evaluates DRSC layouts without any subjective judgment from decision-makers. Further, we also identify that the performance of DRSC layouts is the most significantly determined by the distribution channels. If any DRSC includes more influencing channels, its performance improves.

Keywords: data envelopment analysis; DEA; goal programming; disaster relief supply chain; DRSC; logistics network design.

DOI: 10.1504/IJLSM.2019.101158

International Journal of Logistics Systems and Management, 2019 Vol.33 No.3, pp.291 - 321

Received: 25 Feb 2017
Accepted: 29 Oct 2017
Published online: 26 Jul 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article