 Goal programming and data envelopment analysis approach to disaster relief supply chain designJae-Dong Hong and Ki-Young Jeong International Journal of Logistics Systems and Management, 2019, vol. 33, issue 3, 291-321 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. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:33:y:2019:i:3:p:291-321 Access Statistics for this article More articles in International Journal of Logistics Systems and Management from Inderscience Enterprises Ltd |
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