WEEE綠色回收的物流網(wǎng)絡(luò)布局相關(guān)問題研究
[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.
【學(xué)位授予單位】:安徽工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:F426.6;F713.2;F252
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