王蕾, 夏绪辉, 熊颖清, 刘军伟, 周敏. 钢铁工业逆向供应链服务过程模型[J]. 工程科学学报, 2015, 37(6): 812-821. DOI: 10.13374/j.issn2095-9389.2015.06.020
引用本文: 王蕾, 夏绪辉, 熊颖清, 刘军伟, 周敏. 钢铁工业逆向供应链服务过程模型[J]. 工程科学学报, 2015, 37(6): 812-821. DOI: 10.13374/j.issn2095-9389.2015.06.020
WANG Lei, XIA Xu-hui, XIONG Ying-qing, LIU Jun-wei, ZHOU Min. Reverse supply chain service process model for the iron and steel industry[J]. Chinese Journal of Engineering, 2015, 37(6): 812-821. DOI: 10.13374/j.issn2095-9389.2015.06.020
Citation: WANG Lei, XIA Xu-hui, XIONG Ying-qing, LIU Jun-wei, ZHOU Min. Reverse supply chain service process model for the iron and steel industry[J]. Chinese Journal of Engineering, 2015, 37(6): 812-821. DOI: 10.13374/j.issn2095-9389.2015.06.020

钢铁工业逆向供应链服务过程模型

Reverse supply chain service process model for the iron and steel industry

  • 摘要: 根据钢铁工业逆向供应链流程,分析了钢铁工业逆向供应链及其服务的基本定义和三个服务主体的特征.在此基础上,构建了一种二层级三维度钢铁工业逆向供应链服务过程模型.在服务抽象维、服务组织与协同运作维、服务网络跨级控制与服务增值维等三个维度构成的空间里,完成由服务方案匹配与决策实现的三阶段构成的第一级服务响应以及由服务功能实现的两阶段构成的第二级服务响应过程.探讨了服务过程实现中的服务模块化、服务知识获取与共享、服务模块智能匹配等关键技术.以某钢铁企业废钢逆向供应服务为实际应用案例,验证了模型的可行性.

     

    Abstract: The basic definition and the characteristics of three service principals of reverse supply chain service for the iron and steel industry is analyzed according to the reverse supply chain process of the iron and steel industry. Based on this work, a two-hierarchical and three-dimensional reverse supply chain service process model is built for the iron and steel industry. A three-dimensional service space is constructed, including services abstraction, service organization and collaborative operation, and service network control and service value-added. In the space, the first hierarchical service response constituted by the three stages of service programme matching and decision-making, and the second hierarchical service response constituted by the two stages of service function realization are accomplished. The key technology of service process realization including service modularization, service knowledge acquisition and sharing, and service modular intelligent matching is discussed. Finally, the feasibility of the model is proved by a case of scrap steel reverse supply service for one iron and steel enterprise.

     

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