WEEE绿色回收的物流网络布局相关问题研究

发布时间：2018-11-18 21:08

【摘要】：自上世纪八、九十年代开始，我国电子电气产品经历了一轮销售高峰，此后逐渐成为国民消费市场的主导产品。经过几十年的发展，中国电子电气行业逐渐形成了完善的产业链和相关产业体系，使得该产业成为中国经济实现可持续、健康增长的中坚力量。然而，面对大量废旧电子电气产品（WEEE）的处理问题，目前存在以下问题：①回收模式不明确，企业在决定自营、联营，还是第三方回收模式时存有顾虑；②有效回收离不开适当的物流网络支持，物流网络主导者对如何进行网络布局缺乏理论指导；③大部分生产商缺乏参与回收的动力，对回收产业链的收益前景堪忧，更是没有发展的方向。为此，本文就以下问题进行研究：（1）对外包供应商进行评价。分析自营、联营与第三方回收的利弊，，明确目前回收模式发展的趋势；就WEEE绿色回收物流供应商选择问题，提出应用Constriant-FAHP和Fuzzy-VIKOR方法来评价，该方法引入约束和程度分析，通过Constriant-FAHP确定评价指标的权重；利用Fuzzy-VIKOR对供应商进行排序，根据最大群体效用和最小个别遗憾值求取折中方案；最后通过算例检验指标体系和评价方法的有效性。（2）构建成本最小化（收益最大化）的第三方物流回收网络并进行优化。考虑模型参数为确定型、随机型与模糊型的混合，提出应用随机机会约束和模糊机会约束模型相结合的方法（称为不确定规划）完成；设模型参数是相互独立的，利用转换定理将不确定规划转变为常规数学规划模型；利用LINGO软件对其求解，得到最优网络结构。（3）应用系统动力学（SD）方法对WEEE回收产业发展前景的仿真研究。借助VENSIM软件构建并模拟电子电气产品销售/再制造供应链，跟踪了供应链上产品质量、供应链反应速度、GDP增长率、库存调节时间、处理能力扩展策略、环保政策指数六种因素对供应链收益的影响。针对存在的问题，平衡经济增长与环境保护之间关系给出有效的应对策略，为实践应用提供借鉴。
[Abstract]:Since the eighties and nineties of last century, the electronic and electrical products of our country have experienced a round of sales peak, and have gradually become the dominant products in the national consumer market. After decades of development, the electronics and electrical industry in China has gradually formed a perfect industrial chain and related industrial system, which makes the industry become the backbone of the sustainable and healthy growth of China's economy. However, in the face of a large number of waste electrical and electronic products (WEEE) processing problems, there are the following problems: 1 recovery model is unclear, enterprises in the decision of self-support, associate, or third-party recycling mode has concerns; (2) effective recovery can not be achieved without proper logistics network support, and the leader of logistics network lacks theoretical guidance on how to carry out network layout; Most of the producers lack the motivation to participate in the recovery, so they are worried about the profit prospects of the recycling industry chain, and there is no direction of development. Therefore, this paper studies the following issues: (1) Evaluation of outsourcing suppliers. The advantages and disadvantages of self-support, joint venture and third party recovery are analyzed, and the development trend of the current recovery mode is clarified. For the problem of WEEE green recycling logistics supplier selection, Constriant-FAHP and Fuzzy-VIKOR methods are applied to evaluate the supplier. The method introduces constraint and degree analysis, and determines the weight of evaluation index through Constriant-FAHP. The supplier is sorted by Fuzzy-VIKOR, and the compromise scheme is obtained according to the maximum group utility and the minimum individual regret value. Finally, the validity of the index system and the evaluation method are tested by an example. (2) construct and optimize the cost minimization (profit maximization) third party logistics recovery network. Considering that the model parameters are deterministic, stochastic and fuzzy, a method of combining stochastic chance constraint and fuzzy chance constraint model is proposed (called uncertain programming). Let the parameters of the model be independent of each other, transform the uncertain programming into a conventional mathematical programming model by using the transformation theorem, and obtain the optimal network structure by solving it with LINGO software. (3) Simulation study on the development prospect of WEEE recovery industry by using system dynamics (SD) method. With the help of VENSIM software, the supply chain of electronic and electrical products is built and simulated. The product quality, supply chain reaction speed, GDP growth rate, inventory adjusting time and processing capacity expansion strategy are tracked. The influence of six factors of environmental policy index on the profit of supply chain. Aiming at the existing problems, an effective strategy is given to balance the relationship between economic growth and environmental protection, which can be used for reference in practice.
【学位授予单位】：安徽工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F426.6;F713.2;F252

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