Sustainable supply chain evaluation: A dynamic double frontier network DEA model with interval type-2 fuzzy data

doi:10.1016/j.ins.2019.07.033

CSpace > 系统科学研究所

	Sustainable supply chain evaluation: A dynamic double frontier network DEA model with interval type-2 fuzzy data
	Zhou, Xiaoyang 1,2; Wang, Ying 3; Chai, Jian 1; Wang, Liqin 4; Wang, Shouyang2 ; Lev, Benjamin 5
	2019-12-01
发表期刊	INFORMATION SCIENCES
ISSN	0020-0255
卷号	504 页码:394-421
摘要	Accompanying with strengthening consciousness of environmental protection and social security, developing sustainable supply chain (SSC) has been becoming more and more important. Under this background, it is essential to deeply understand and evaluate SSCs from comprehensive economy-environment-society aspects. In order to do this, this paper considers the SSC as a dynamic three-stage network system consisting of supplier, manufacturer and distributor across multiple periods, and establishes a novel dynamic network DEA model with desirable and undesirable indicators to compute the detailed efficiencies based on both effective and invalid production frontiers. In the model, the degrees of environmental pollution and customer satisfaction are described as interval type-2 fuzzy sets. Then a method considering the optimistic-pessimistic attitude of decision makers is introduced to get solutions. For case study, the proposed DEA model is used to evaluate 20 SSCs, and analysis from time and stage perspectives are conducted to show the detailed performance. According to the results, the evaluated SSCs can be divided into four groups with different patterns, the weakness stage and period for each SSC can also be identified. The comparison and sensitivity analysis demonstrates our proposed model has more discriminating power and the ability of providing more managerial insights. Not only the sensitivity degree of a SSC to the attitude change of decision makers can be determined, but also the important indicator in different aspects for each SSC can be pointed out. (C) 2019 Elsevier Inc. All rights reserved.
关键词	Sustainable supply chain Dynamic network DEA Double frontiers Interval type-2 fuzzy sets
DOI	10.1016/j.ins.2019.07.033
语种	英语
资助项目	National Natural Science Foundation of China[71871175] ; National Natural Science Foundation of China[71401093]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000483636900021
出版者	ELSEVIER SCIENCE INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/35596
专题	系统科学研究所
通讯作者	Wang, Ying; Chai, Jian
作者单位	1.Xidian Univ, Sch Econ & Management, Xian 710126, Shaanxi, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 3.Northwestern Polytech Univ, Sch Management, Xian 710129, Shaanxi, Peoples R China 4.Shaanxi Normal Univ, Int Business Sch, Xian 710119, Shaanxi, Peoples R China 5.Drexel Univ, LeBow Coll Business, Philadelphia, PA 19104 USA
推荐引用方式 GB/T 7714	Zhou, Xiaoyang,Wang, Ying,Chai, Jian,et al. Sustainable supply chain evaluation: A dynamic double frontier network DEA model with interval type-2 fuzzy data[J]. INFORMATION SCIENCES,2019,504:394-421.
APA	Zhou, Xiaoyang,Wang, Ying,Chai, Jian,Wang, Liqin,Wang, Shouyang,&Lev, Benjamin.(2019).Sustainable supply chain evaluation: A dynamic double frontier network DEA model with interval type-2 fuzzy data.INFORMATION SCIENCES,504,394-421.
MLA	Zhou, Xiaoyang,et al."Sustainable supply chain evaluation: A dynamic double frontier network DEA model with interval type-2 fuzzy data".INFORMATION SCIENCES 504(2019):394-421.