T服装企业供应链风险的管理与控制研究

发布时间：2018-03-30 04:01

本文选题：供应链风险　切入点：风险预警　出处：《浙江工业大学》2013年硕士论文

【摘要】：随着信息技术的飞速发展和市场竞争的日益加剧,供应链风险管理已成为当前企业必须面对的一个问题。而供应链组织结构复杂多样、内外环境的变化莫测,以及供应链管理层过度效益化、忽视风险管理等原因,使得供应链的运行越来越容易遭受各类风险的侵袭。要实现供应链高效安全地运作,就必须针对供应链内外潜在风险实施恰当的战略和行动来管理风险。本文以T服装企业为研究基础,较为深入地研究了供应链风险。主要工作如下： (1)通过德尔菲法采集专家意见,采用对比法对风险识别方法与识别过程进行探讨,通过三轮征询对风险指标进行信度检验,最后构建出4个一级指标和15个二级指标的供应链风险评价因素层次架构。 (2)运用层次分析法对供应链风险对供应链所造成的影响程度进行评估,得出各级风险指标的权重。 (3)运用模糊综合评价法,在构建供应链风险评价体系的基础上,对T服装企业面临的供应链风险状况进行实证分析,其结果可为企业决策层提供参考。 (4)利用BP神经网络逻辑性强、通用性好等特点构建BP神经网络风险预警模型,同时对T服装企业进行实证分析,实时得到企业的风险警态。然后,从系统的角度来探讨供应链风险管理与控制方法。本文结合一些经典理论与综合方法,采用对比法、案例法等对供应链风险管理进行了较系统的研究,下一步的研究希望结合控制论、系统论构建数学模型来提高供应链风险管理研究的深度与广度。
[Abstract]:With the rapid development of information technology and the increasing market competition, supply chain risk management has become a problem that enterprises must face at present. As well as the excessive benefit of supply chain management and neglect of risk management, the operation of supply chain is more and more vulnerable to all kinds of risks. It is necessary to carry out appropriate strategies and actions to manage the risks in and out of the supply chain. Based on the research of T garment enterprises, this paper studies the risk of the supply chain in depth. The main work is as follows:. 1) collecting expert opinions by Delphi method, discussing the risk identification method and identification process by contrast method, and testing the reliability of risk indicators through three rounds of consultation. Finally, a hierarchical framework of supply chain risk assessment factors with 4 primary and 15 secondary indicators is constructed. 2) using AHP to evaluate the influence degree of supply chain risk on supply chain, and get the weight of risk index at all levels. 3) on the basis of constructing supply chain risk evaluation system, this paper makes an empirical analysis of the supply chain risk situation faced by T garment enterprises by using fuzzy comprehensive evaluation method. The results can be used as a reference for enterprises to make decisions. 4) making use of the characteristics of BP neural network, such as strong logic and good generality, to construct the BP neural network risk warning model, and at the same time to carry on the empirical analysis to T garment enterprises, and get the risk warning state of the enterprises in real time. This paper discusses the method of supply chain risk management and control from the point of view of system. In this paper, some classical theories and synthesis methods are used to study the supply chain risk management systematically, and the next step is to combine with cybernetics. System theory builds mathematical model to improve the depth and breadth of supply chain risk management research.
【学位授予单位】：浙江工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F274;F426.86

【相似文献】