基于交易回收和用户退货行为的闭环供应链多目标优化模型研究

发布时间：2018-01-28 00:05

本文关键词： 闭环供应链交易回收用户退货行为遗传算法求解多目标优化　出处：《西南交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：科技的不断提高,消费市场上的电子产品也呈现出日新月异的场面,各类电子产品充溢着市场满足着人们需求的同时,电子产品的生命周期急剧缩短,有时仅仅一项科技成果推向市场,刚刚上市的产品就会被市场淘汰。随之会产生各种各样的电子垃圾,如果不能及时处理这些淘汰的电子产品,垃圾分解后的辐射则会造成严重的环境污染,对人们的生活环境以及人们的身体健康造成巨大威胁。用户群体作为闭环供应链中的重要节点,用户会选购自己需要的产品满足自己的生活需求,即具有购买产品行为,而且在购买行为发生后,会综合评价产品价值对自己的需求,当发现不适合自己时或对产品不是很满意,会选择是否接受此产品,抉择是否做出退货行为。除此之外,废旧产品的回收工作也需要用户群体的配合,决定了用户群体在闭环供应链中的承上启下的特殊地位。本文综合分析国内外关于用户感知、用户退货行为、用户效用以及闭环供应链满意度相关方向的研究现状,在此基础上,介绍了闭环供应链回收模式以及各自的特点,总结制造企业选择回收模式的标准。据此,本文根据用户在闭环供应链的巨大作用,考虑用闭环供应链的价格满意度、用户效用满意度和企业利润综合评价整个闭环供应链系统的运作情况,建立了基于回收中心交易回收废旧产品的闭环供应链多目标优化模型和同时考虑回收中心交易回收废旧产品和用户退货行为的闭环供应链多目标优化模型两个数学模型。其中,考虑交易回收时,用户意愿驱动对返还废旧产品数量的影响,用户驱动力包括报酬激励驱动与无报酬激励意识驱动。价格满意度包括用户与企业两个节点对新产品、回收再制造产品、废旧淘汰产品、退货产品不同价格的满意度。同理,用户效用也包括对上述四类产品的用户效用。针对上述两个优化模型,以M公司手机闭环供应链为研究对象,进行多目标优化模型仿真优化分析,旨在优化该闭环供应链运作,并用遗传算法求解该多目标模型。根据求解结果,给予M公司实际建议,指导产品定价,在不同发展时期在企业综合效益最优的情况下兼顾用户效用最大化。
[Abstract]:With the continuous improvement of science and technology, electronic products in the consumer market also show a rapidly changing scene. All kinds of electronic products are filling the market to meet the needs of people, while the life cycle of electronic products is shortened dramatically. Sometimes when just one scientific and technological achievement comes to the market, the products that have just come on the market will be eliminated by the market. As a result, there will be various kinds of e-waste, if these obsolete electronic products cannot be dealt with in time. The radiation after garbage decomposition will cause serious environmental pollution and pose a great threat to people's living environment and people's health. The user group is an important node in the closed-loop supply chain. Users will buy their own products to meet their own needs, that is, with the purchase of product behavior, and after the purchase behavior, will comprehensively evaluate the value of the product to their own needs. When found not suitable for their own or not very satisfied with the product, will choose whether to accept the product, whether to make a return behavior. In addition, the recycling of used products also needs the cooperation of the user community. It determines the special position of user group in the closed-loop supply chain. This paper comprehensively analyzes the behavior of user perception and return at home and abroad. Based on the research status of user utility and closed-loop supply chain satisfaction, this paper introduces the closed-loop supply chain recovery model and their respective characteristics, summarizes the criteria for manufacturing enterprises to choose the recovery model. According to the huge role of users in the closed-loop supply chain, this paper considers the use of closed-loop supply chain price satisfaction, user utility satisfaction and corporate profits comprehensive evaluation of the operation of the closed-loop supply chain system. A multi-objective optimization model of closed-loop supply chain based on recycling center transaction and a multi-objective optimization model of closed-loop supply chain based on recycling center transaction and customer return behavior are established. Learning models. Among them. The impact of user willingness on the return of used and end-of-life products when considering transaction recovery. The user driving force includes reward incentive drive and non-reward incentive consciousness drive. Price satisfaction includes customer and enterprise two nodes to the new product, recycling and remanufacturing products, obsolete products. The customer utility also includes the user utility to the above four kinds of products. According to the above two optimization models, M company mobile phone closed-loop supply chain as the research object. The purpose of this paper is to optimize the operation of the closed-loop supply chain, and solve the multi-objective model with genetic algorithm. According to the results, the paper gives M Company practical advice to guide the pricing of products. In different periods of development, the optimal comprehensive benefits of the enterprise should be taken into account in terms of user utility maximization.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F274;F713.2

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