Evaluating remanufacturing industry of China using an improved grey fixed weight clustering method- a case of Jiangsu Province
Evaluating remanufacturing industry of China using an improved grey fixed weight clustering method- a case of Jiangsu Province
复制标题
改进的灰色定权聚类法评价我国再制造产业——以江苏省为例
DOI：
10.1016/j.jclepro.2016.11.083
复制
发表时间：
2016-11
影响因子：
11.1
通讯作者：
Sifeng Liu
中科院分区：
文献类型：
--
作者：
Chenfan Wu;Xiangyun Chang;Ye Chen;Sifeng Liu
再制造产业可以通过降低原材料消耗和最大限度地减少废物排放来解决资源枯竭和环境恶化的问题。近年来，它得到了中国政府的大力推动。然而，其发展现状一直不尽如人意。本文的目的是评价中国再制造产业的发展水平，并指出未来产业改进的方向。为实现上述目标，本文建立了再制造业评价指标体系，提出了一种适用于再制造业评价的改进灰色定权聚类法。然后以江苏省中国为实际案例，运用该方法对该市的再制造产业进行了评价，并确定了各市改进措施的排序。研究结果表明，再制造业总体发展水平仍然较低，发展不平衡现象突出。两个更重要的发现如下：第一，各城市改善措施的排序是不同的，决策者应该采取差异化的产业政策和改善措施。二是再制造行业年销售额、再制造企业资产总额、在建投资总额、科研机构和高校参与再制造项目总数四个评价子指标，属于二、三级灰色城市的城市应重点关注改进措施。本研究的主要贡献在于为再制造业评价提供了一种有效的决策方法。它有助于对不同城市再制造业的发展水平进行分类，为决策者采取适当的产业政策和改进措施提供科学依据，从而有效地促进未来再制造业的发展。
Remanufacturing industry can solve the issues of resource depletion and environment deterioration by reducing consumptions of raw materials and minimizing emissions of wastes. It has been strongly promoted by Chinese government in recent years. However, its current development situation has been unsatisfactory all the time. The aim of this paper is to evaluate development level of remanufacturing industry of China and point out future directions of industrial improvement. To achieve the above objective, this paper establishes an evaluation index system of remanufacturing industry and puts forward an improved grey fixed weight clustering method, which is suitable for assessing remanufacturing industry. Then taking Jiangsu Province of China as a practical case, this method is used to evaluate its remanufacturing industry and identify rank order of improvement measures for each city. Research results show that overall development level of remanufacturing industry is still low and development unbalance is remarkable. Two more important findings are as follows: The first is that rank orders of improvement measures for all cities are different from each other and decision maker should adopt differentiated industrial policies and improvement measures. The second is that the cities which belong to the 2nd and 3rd grey class should paid more attention to improvement measures for four evaluation sub-indices: Annual sale of remanufacturing industry, Total assets of remanufacturing enterprise, Total investment of under construction and Total number of research institution and university participated in remanufacturing. The major contribution of this study is to offer an effective decision-making approach for evaluation of remanufacturing industry. It helps in classifying development levels of remanufacturing industry in different cities and providing decision makers with a scientific basis for adopting appropriate industrial policies and improvement measures, which will efficiently enhance remanufacturing industry in the future.
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影响因子：
11.4
作者：
Zhang Yi-han
通讯作者：
Zhang Yi-han
DOI：
10.1109/ieem.2008.4738252
发表时间：
2008-12
期刊：
2008 IEEE International Conference on Industrial Engineering and Engineering Management
影响因子：
--
作者：
Kun-liang Chen;Y. Gu;Kun Yang
通讯作者：
Kun-liang Chen;Y. Gu;Kun Yang
影响因子：
--
作者：
M. Matsumoto;Y. Umeda
通讯作者：
M. Matsumoto;Y. Umeda
DOI：
--
发表时间：
2011
期刊：
Journal of Henan Agricultural University
影响因子：
--
作者：
Wang Shu-ying
通讯作者：
Wang Shu-ying
影响因子：
9
作者：
Hamzacebi, Coskun;Es, Huseyin Avni
通讯作者：
Es, Huseyin Avni