新建制造企业物流服务供应商选择的FCM方法研究

发布时间：2018-03-21 16:02

本文选题：服务增强　切入点：新建制造企业　出处：《重庆交通大学》2015年硕士论文　论文类型：学位论文

【摘要】：在知识经济背景下,传统制造业面临向新型服务制造业转型升级压力,“服务增强”已成为制造业的发展道路,同时面对中国广阔消费市场,每年有许多新建制造企业成立。为了专注核心能力,降低成本和更好地向顾客提供物流服务,大多数新建制造企业将物流业务外包。然而,据中国公路网的报道,我国物流市场中专业提供物流服务的供应商数量以每年16%-25%的速度增长。面对市场中数量众多,服务能力、服务质量参差不齐的物流服务供应商,新建制造企业急需用一种科学而又切合实际的方法来对物流服务供应商做出选择。因此,如何科学实际的选择物流服务供应商,本文从以下两个方面展开研究。一方面是基础研究。首先,阐述了新建制造企业物流服务供应商选择研究背景、研究目的等内容。然后,详细论述了现有文献关于物流服务供应商选择的评价指标体系和方法的研究现状,发现了已有的评价体系没有考虑具体行业的特性和常用的评价方法没有考虑评价因素间相互影响的反馈关系。最后,分别从理论研究和应用研究两个方面详细地综述了模糊认知图法(Fuzzy Cognitive Map,FCM),并对比分析了适合本研究使用的模糊认知图的迭代规则和算法,为应用FCM方法解决新建制造企业物流服务供应商选择奠定理论基础。另一方面是核心研究。首先,在相关资料收集基础上,对新建制造企业物流服务类型和物流服务需求的特征进行分析。然后,向新建制造企业发放调查问卷,获取了新建制造企业物流服务供应商选择的影响因素,并对影响因素间的相互反馈关系进行分析,从而建立物新建制造企业物流服务供应商流选择的模糊认知图模型。最后,以某新建制造企业为例,进行案例分析。在分析某新建制造企业的物流需求基础上,应用已建立的模糊认知图模型来评价该新建制造企业的备选物流服务供应商,同时,也采用层次分析法来评估该企业的备选物流服务供应商,并对比了两种方法的评价结果。本文研究结果表明,评价因素间的相互反馈关系会影响最终的评价结果,FCM方法可以获得更为准确的评价权重值,能实现物流服务供应商的优选,并为其他的新建制造企业提供参考与决策支持。
[Abstract]:Under the background of knowledge economy, the traditional manufacturing industry is facing the pressure of transformation and upgrading to the new service manufacturing industry. "Service enhancement" has become the development path of the manufacturing industry, while facing the vast consumer market in China. Many new manufacturing companies are set up every year. In order to focus on core competencies, reduce costs and better provide logistics services to customers, most new manufacturers outsource logistics services. The number of suppliers specialized in providing logistics services in China's logistics market is growing at a rate of 16% to 25% per year. Faced with the large number of logistics service providers in the market, their service capacity and service quality are not uniform. It is urgent for new manufacturing enterprises to choose logistics service providers in a scientific and practical way. Therefore, how to choose logistics service providers scientifically and practically? This paper starts the research from the following two aspects. On the one hand, it is the basic research. Firstly, it expounds the research background and purpose of the logistics service supplier selection in the new manufacturing enterprise. The current research status of evaluation index system and method of logistics service supplier selection is discussed in detail. Found that the existing evaluation system does not take into account the characteristics of specific industries and common evaluation methods do not take into account the feedback relationship between evaluation factors. Finally, In this paper, the fuzzy Cognitive map method is summarized in detail from the two aspects of theory and application, and the iterative rules and algorithms of fuzzy cognitive map suitable for this study are compared and analyzed. It lays a theoretical foundation for solving logistics service supplier selection in new manufacturing enterprises by using FCM method. On the other hand, it is the core research. First, on the basis of relevant data collection, The characteristics of logistics service type and logistics service demand of newly built manufacturing enterprises are analyzed. Then, the factors influencing the selection of logistics service providers in newly built manufacturing enterprises are obtained by issuing questionnaires to new manufacturing enterprises. Based on the analysis of the mutual feedback relationship among the factors, the fuzzy cognitive graph model of logistics service supplier selection in newly built manufacturing enterprises is established. Finally, a new manufacturing enterprise is taken as an example. On the basis of analyzing the logistics demand of a new manufacturing enterprise, this paper applies the established fuzzy cognitive graph model to evaluate the alternative logistics service provider of the new manufacturing enterprise, at the same time, Analytic hierarchy process (AHP) is also used to evaluate the alternative logistics service providers of the enterprise, and the evaluation results of the two methods are compared. The feedback relationship between evaluation factors will affect the final evaluation results FCM method can obtain more accurate evaluation weight value, can realize the logistics service supplier selection, and provide reference and decision support for other newly built manufacturing enterprises.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F253;F274

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