Journal article
A novel Data Envelopment Analysis model for evaluating industrial production and environmental management system
Journal of cleaner production, v 170, pp 773-788
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Industrial production and environmental management systems should be simultaneously considered for sustainable development. This paper evaluated the performance of an integrated two-stage system using a proposed type-2 fuzzy bi-objective two-stage slacks-based measurement Data Envelopment Analysis model with super efficiency. A Step Method was applied to solve for the Pareto optimal solution to ensure no implicit priority was given to one stage over the other, and a CV-based reduction method and generalized credibility based chance constrained programming were used to cope with the type-2 fuzzy variables. A case study in China was then developed from a time-perspective and a region-perspective, the results from which indicated that the overall performance of China's integrated system improved from 2005 to 2014, and the efficiency gap between the industrial production system and the environmental management system reduced, however, there was significant disparity shown across the different economic regions. Three comparative analyses were then conducted to highlight the superiority of the proposed model. The developed model was able to: measure efficiency scores and find proportionate ratios and disproportionate slacks for each DMU to decrease inputs for performance improvement, distinguish the DMU from DMUs with same efficiency value and indicate the maximum change scope for the inputs and outputs to maintain the DMU efficiency. In addition, type-2 fuzzy sets were incorporated to describe the fuzziness with greater flexibility, which can assist decision makers and produce more accurate, robust results. (C) 2017 Elsevier Ltd. All rights reserved.
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Details
- Title
- A novel Data Envelopment Analysis model for evaluating industrial production and environmental management system
- Creators
- Xiaoyang Zhou - International Business School, Shaanxi Normal University, Xi'an 710062, ChinaZhongwen Xu - Sichuan UniversityLiming Yao - Sichuan UniversityYan Tu - Wuhan University of TechnologyBenjamin Lev - Drexel UniversityWitold Pedrycz - King Abdulaziz University
- Publication Details
- Journal of cleaner production, v 170, pp 773-788
- Publisher
- Elsevier
- Number of pages
- 16
- Grant note
- 71401093; 71771157; 71301109 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) 184089 / China Postdoctoral Science Foundation 201606875006 / China Scholarship Council skqx201726 / Sichuan University 14SZYB08; WUT: 2016VI002 / Fundamental Research Funds for the Central Universities Xq16B01 / Research Center for Systems Science & Enterprise Development 2017ZR0154 / Soft Science Program of Sichuan Province 2016KRM089 / Soft Science Research Project of Shaanxi Province
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000414879300072
- Scopus ID
- 2-s2.0-85032870008
- Other Identifier
- 991019168215604721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Environmental
- Environmental Sciences
- Green & Sustainable Science & Technology