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Open AccessArticle

Weighing Efficiency-Robustness in Supply Chain Disruption by Multi-Objective Firefly Algorithm

Business School, Hunan University, Changsha 410082, China
Academy of Mathematics and System Science, Chinese Academy of Sciences, Beijing 100190, China
International Business School, Shaanxi Normal University, Xi’an 710062, China
Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue Kowloon, Hong Kong, China
Office of Humanities and Social Sciences, Hunan University, Changsha 410082, China
Author to whom correspondence should be addressed.
Academic Editor: Young Hae Lee
Sustainability 2016, 8(3), 250;
Received: 13 January 2016 / Revised: 24 February 2016 / Accepted: 2 March 2016 / Published: 9 March 2016
(This article belongs to the Special Issue Sustainability in Supply Chain Management)
This paper investigates various supply chain disruptions in terms of scenario planning, including node disruption and chain disruption; namely, disruptions in distribution centers and disruptions between manufacturing centers and distribution centers. Meanwhile, it also focuses on the simultaneous disruption on one node or a number of nodes, simultaneous disruption in one chain or a number of chains and the corresponding mathematical models and exemplification in relation to numerous manufacturing centers and diverse products. Robustness of the design of the supply chain network is examined by weighing efficiency against robustness during supply chain disruptions. Efficiency is represented by operating cost; robustness is indicated by the expected disruption cost and the weighing issue is calculated by the multi-objective firefly algorithm for consistency in the results. It has been shown that the total cost achieved by the optimal target function is lower than that at the most effective time of supply chains. In other words, the decrease of expected disruption cost by improving robustness in supply chains is greater than the increase of operating cost by reducing efficiency, thus leading to cost advantage. Consequently, by approximating the Pareto Front Chart of weighing between efficiency and robustness, enterprises can choose appropriate efficiency and robustness for their longer-term development. View Full-Text
Keywords: supply chain management; multi-objective decision; firefly algorithm; efficiency; robustness supply chain management; multi-objective decision; firefly algorithm; efficiency; robustness
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Shu, T.; Gao, X.; Chen, S.; Wang, S.; Lai, K.K.; Gan, L. Weighing Efficiency-Robustness in Supply Chain Disruption by Multi-Objective Firefly Algorithm. Sustainability 2016, 8, 250.

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