Key indices of the remanufacturing industry in China using a combined method of grey incidence analysis and grey clustering
Key indices of the remanufacturing industry in China using a combined method of grey incidence analysis and grey clustering
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灰色关联分析与灰色聚类相结合的我国再制造行业关键指标
DOI：
10.1016/j.jclepro.2017.09.078
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发表时间：
2017-12
影响因子：
11.1
通讯作者：
Xie Naiming
中科院分区：
文献类型：
--
作者：
Liu Wenjie;Zhang Jing;Jin Mingzhou;Xie Naiming
再制造是通过减少原材料和嵌入式能源消耗来解决资源枯竭和环境恶化的重要工具。与许多其他国家一样，中国政府在过去十年中对再制造非常感兴趣，因为它可以减少材料和能源的使用。然而，由于对再制造产业的关键产业指标知之甚少，再制造产业的发展一直不尽如人意。许多再制造产品的潜在客户不信任再制造产品的质量。本文的主要目的是对再制造产业的关键产业指标进行分类，并提出未来的改进方向。为了实现这些目标，本文采用了灰色关联分析和灰色聚类相结合的方法，这是适合区分关键行业指标，可以衡量的再制造产业的发展状况的情况。这一方法被成功地应用于中国江苏省的一个案例，并因此为再制造企业发展该行业提供了有用的政府和产业政策建议。研究结果确定了“硕士及以上学历从业人员总数”、“工程技术人员总数”和“中级技术人员数量”为最适合反映我国再制造产业发展状况的行业指标。还有两个更重要的发现。第一是再制造人才是再制造产业最重要的内在动力，应该得到更多的重视。二是再制造产业投资与行业特征不具有较强的正相关性。再制造产业的“年收入”和巨额投资至今没有对这一产业起到有效的推动作用。本文的主要贡献是提供了一个有效的决策工具，确定关键的行业指标，有重要影响的再制造产业。该工具为决策者制定和实施适当的产业政策和改进措施提供了科学依据，以扩大未来再制造产业的规模和范围。
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.
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影响因子：
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作者：
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DOI：
10.1108/gs.2011.1.3.274.1
发表时间：
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期刊：
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影响因子：
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