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Title Data-driven ecological performance evaluation for remanufacturing process
ID_Doc 26278
Authors Jiang, ZG; Ding, ZY; Zhang, H; Cai, W; Liu, Y
Title Data-driven ecological performance evaluation for remanufacturing process
Year 2019
Published
DOI 10.1016/j.enconman.2019.111844
Abstract Remanufacturing has received extensive attention due to its advantages in material and energy saving, emission reduction and is often considered a viable approach for the realization of a circular economy. Remanufacturing ecological performance reflects the ability of an enterprise to balance economic and environmental benefits. Therefore, evaluating the remanufacturing ecological performance is of great significance for leveraging the benefits of remanufacturing and promoting the concept of sustainability and the implementation of a circular economy in the industry. To this end, a set of data-driven techniques, i.e., data envelopment analysis, R clustering and grey relational analysis, are deployed to analyze and evaluate the ecological performance of a remanufacturing process. The effectiveness and feasibility of the proposed method are illustrated via a case study of remanufacturing for hydraulic cylinder and boom cylinder. Furthermore, a number of critical factors, e.g., energy-saving rate, remanufacturing process cost and rate of remanufacturing, for end-of-life products have been identified as the key drivers impacting the remanufacturing ecological performance. So as to improve remanufacturing ecological performance, optimizing production technology, implementing lean remanufacturing and raising public acceptability over remanufacturing products are effective measures. The research results of the present work can provide support for remanufacturing enterprises to guide and improve their ecological performance and formulate better development strategies.
Author Keywords Remanufacturing; Ecological performance; Data-driven; Data envelopment analysis
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000491213400059
WoS Category Thermodynamics; Energy & Fuels; Mechanics
Research Area Thermodynamics; Energy & Fuels; Mechanics
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