文献类型：期刊文献

英文题名：Key indices of the remanufacturing industry in China using a combined method of grey incidence analysis and grey clustering

作者：Liu, Wenjie[1];Zhang, Jing[1];Jin, Mingzhou[2,3];Liu, Sifeng[1];Chang, Xiangyun[4];Xie, Naiming[1];Wang, Yutao[5,6]

机构：[1]Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Jiangsu, Peoples R China;[2]Cent South Univ Forestry & Technol, Coll Logist & Transportat Engn, Changsha 410004, Hunan, Peoples R China;[3]Univ Tennessee, Dept Ind & Syst Engn, Knoxville, TN 37996 USA;[4]East China Univ Sci & Technol, Dept Management Sci & Engn, Shanghai 200237, Peoples R China;[5]Fudan Univ, Dept Environm Sci & Engn, Shanghai Key Lab Atmospher Particle Pollut & Preve, Shanghai 200433, Peoples R China;[6]Fudan Univ, Tyndall Ctr, Shanghai 200433, Peoples R China

年份：2017

卷号：168

起止页码：1348

外文期刊名：JOURNAL OF CLEANER PRODUCTION

收录：;EI(收录号：20174104255747);WOS:【SCI-EXPANDED(收录号:WOS:000414817700124)】；

基金：This work is supported by grants from the National Natural Science Fund (71273131, 71473085, 71671090), Key Project of University Social Sciences Foundation of Jiangsu Province of China (2017ZDIXM083), Shanghai Pujiang Program (14PJC020), the Key Project of National Social Sciences Foundation (13AZD062).

语种：英文

外文关键词：Key industry index; Remanufacturing; Grey incidence analysis and grey clustering

摘要：Remanufacturing is a critical tool for solving resource depletion and environmental deterioration by reducing raw material and embedded energy consumption. The Chinese government, like many other countries, has been keenly interested in remanufacturing during the past ten years, because of its potential material and energy usage reductions. However, the development of the remanufacturing industry has been unsatisfactory because of little knowledge of its key industry indices. Many potential customers of remanufactured products do not trust the quality of remanufactured products. The major objectives of this paper are to classify the key industrial indices of the remanufacturing industry and to suggest future directions for improvements. To achieve these objectives, this paper used a combined method of grey incidence analysis and grey clustering, which are suitable for distinguishing critical industry indices that can measure the status of development situation of the remanufacturing industry. This approach was successfully applied to a case in Jiangsu Province, China, and consequently developed useful governmental and industrial policy recommendations for remanufacturing enterprises to promote that industry. The research results identified the "total number of employees with a master's degree or above", the "total number of engineering and technical staff" and the "number of intermediate technicians" as the most appropriate industry indices to reflect the development situation of the remanufacturing industry in China. There are two more important findings. The first is that remanufacturing talents are the most important internal impetus of the remanufacturing industry and should be paid more attention to. The second is that investment in the remanufacturing industry does not have a strong positive correlation with industry characteristics. The "annual revenue of the remanufacturing industry" and huge investment have not played an effective role in promoting this industry so far. The main contribution of this paper is to provide an effective decision-making tool for defining key industry indices that have an important effect on the remanufacturing industry. The tool provides decision-makers a scientific basis for developing and implementing appropriate industry policies and improvement measures to expand the size and scope of the remanufacturing industry in the future. (C) 2017 Elsevier Ltd. All rights reserved.