C2M模式下智能产品供应商选择的不确定语言云决策方法研究

With the development of new business model C2M and Internet economy, smart products become more and more popular. Manufacturers have higher requirements for suppliers in C2M mode as a result of the increase of consumer participation. Thus, the supplier selection problem becomes more complex in the new form. Under the background of smart products enterprises procurement in C2M mode, aim to fuzzy uncertainty and random uncertainty in the process of supplier selection, this project will construct cloud decision making model under uncertain linguistic information. The effects of smart products on supplier selection and supply chain structure are deeply analyzed. Smart products supplier selection mechanism is designed and the evaluation index system of smart products suppliers is constructed. Through different forms of cloud processing in uncertain linguistic variables, the uncertain linguistic cloud decision making methods for smart products supplier selection in C2M mode are developed under complete information and incomplete information by comprehensively using of decision theory and methods, uncertain theory and optimization theory. The differences of results and efficiencies are analyzed by comparing Internet enterprise practice with the actual situation. These research results of this project will further enrich and develop uncertain linguistic cloud decision making, offer a new research approach and application to uncertain linguistic cloud decision making, and provide the theoretical basis and decision making reference for procurement management of Internet enterprise in C2M mode.

随着新型商业模式C2M和互联网经济的发展，智能产品越来越丰富，用户参与度的提高迫使C2M模式下制造商对供应商提出更高要求，相应的供应商选择问题变得更加复杂。本项目以C2M模式下智能产品企业采购问题为背景，针对供应商选择中表现出的模糊性和随机性两类不确定性，以建立不确定语言信息下云决策模型为主线，深入分析智能产品对供应商选择的影响及对供应链结构的相应影响，设计智能产品供应商选择机制，构建智能产品供应商评价指标体系，在完全信息和不完全信息下，通过对不确定语言值不同形式的云处理，分别提出C2M模式下智能产品供应商选择的不确定语言云决策方法，综合运用决策理论与方法、不确定理论、优化理论等方法进行分析研究，结合互联网企业实践与实际情形进行对比，分析所得结果的异同和效率。研究成果将进一步丰富和发展不确定语言云决策理论体系，拓展其应用范围，同时也为C2M模式下互联网企业的采购管理提供理论依据和决策参考。

本项目以C2M模式下智能产品企业采购问题为背景，针对供应商选择中表现出的模糊性和随机性两类不确定性，以建立不确定语言信息下云决策模型为主线，深入分析智能产品对供应商选择的影响及对供应链结构的相应影响，设计智能产品供应商选择机制，构建智能产品供应商评价指标体系，综合运用决策理论与方法、不确定理论、优化理论等方法进行分析研究，结合互联网企业实践与实际情形进行对比，分析所得结果的异同和效率。研究成果进一步丰富和发展了不确定语言云决策理论体系，拓展了其应用范围，同时也为C2M模式下互联网企业的采购管理提供理论依据和决策参考。在广泛收集研究资料、国内外案例，并整理分析的基础上，制定了详尽的研究计划和实施方案。对C2M模式下产品智能化时的供应链管理、云模型和不确定多属性决策的理论、方法和应用的相关研究现状及研究前沿进行分析和归纳，研究了供应链结构的相应影响、互联网环境下的智能产品供应商评价指标体系、不确定语言多属性群决策方法和相关算法优化、用户需求导向的产品设计方案质量评价模型和方案双重妥协评价方法等，形成论文14篇并已见刊。