基于哈肯模型的电子废弃物回收系统演化机制的研究
[Abstract]:In recent years, the unprecedented boom in the global consumption of electronic products has produced a large amount of e-waste, and more enterprises are recycling and disposing of electronic wastes, especially in informal small workshops, and small enterprises are increasing day by day. This makes the electronic waste recovery ratio of the formal enterprises in a relatively low state, and the development of electronic waste recycling treatment has not been significantly improved. In order to change the present situation, we need to understand the internal evolution mechanism of e-waste recovery system and analyze the development trend of e-waste recovery system in the future, in order to provide reference for economic efficiency and technological progress. In this paper, from the point of view of system evolution, we use Harken model to model the electronic waste recovery system, and then analyze the evolution mode and evolution mechanism of the system. In order to identify the order parameters of the system, the index set of the state variables of the recovery system is obtained by using the "input-output" model, the indexes of each state variable are defined and explained, and the actual data of each index are collected. The entropy weight method is used to calculate the comprehensive evaluation value corresponding to each state variable (that is, the weight value of each index). The importance of state variables in the system is sorted from large to small according to the calculated data of comprehensive evaluation value. There are three state variables that have great influence in the system: recovery rate of formal enterprise, cost of recovery treatment and comprehensive disposal rate. Based on the evolution mechanism of electronic waste recovery system, a Harken model based on electronic waste recovery system is constructed. According to the characteristics of the Hacken model adiabatic approximation, taking the actual data from 13 provinces and municipalities in China as the sample, two of the three state parameters with the highest weight obtained by the entropy weight method are chosen to be brought into the model for trial calculation. The experimental results show that the recovery rate is the order parameter to control the evolution of the electronic waste recovery system. Finally, according to the results of pre-trial calculation, the formal enterprise recovery rate is selected as the order parameter, the comprehensive disposal rate is used as the state parameter to model the operation, and the actual data of 13 provinces and municipalities in China are combined with the actual data to be brought into the model operation. The prediction trend of the future evolution state of electronic waste recovery system in China can be obtained. From the model prediction, it can be found that the development of electronic waste recovery system in various provinces and cities of our country is mixed, the overall development trend is not optimistic, in the next 8 years, The comprehensive disposal rate of each province and city will decrease obviously, and the recovery rate of the formal enterprise will be stable, and there will be no significant improvement. Therefore, in order to improve the recovery rate of the formal enterprises, we should pay attention to the improvement of the comprehensive disposal rate and the productivity of the recycling and disposal of electronic wastes. We should pay more attention to the undeveloped areas and build the electronic waste recovery and treatment infrastructure in remote areas. Through technological innovation and structural upgrading to improve the capacity of e-waste recovery and treatment, and better play the e-waste recovery system of the formal enterprise recovery and comprehensive disposal rate of synergy, Promote the electronic waste recovery and treatment system from disorder to orderly evolution.
【学位授予单位】:杭州电子科技大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:X705;F713.2
【参考文献】
相关期刊论文 前10条
1 王红梅;张金良;王先良;全占军;林海鹏;车飞;;中国电子垃圾现状及环境管理对策分析[J];环境科学与管理;2008年05期
2 田海峰;孙广生;李凯;;生产者责任延伸、废物再利用与政策工具选择——基于产品生命周期的一个考察[J];产业经济评论;2010年03期
3 吴雯杰;王景伟;王亚林;贾金平;;电子废弃物中元器件的拆解与再利用[J];环境科学与技术;2007年09期
4 曾敏刚;周彦婷;;基于多方博弈的制造企业逆向物流的研究[J];工业工程;2009年06期
5 王兆华;尹建华;;我国家电企业电子废弃物回收行为影响因素及特征分析[J];管理世界;2008年04期
6 张旭梅;黄陈宣;;逆向供应链企业间知识共享的决策机制研究[J];管理学报;2013年02期
7 易俊;王苏生;;基于成本-收益分析的逆向供应链网络演化机制分析[J];管理工程学报;2013年02期
8 余福茂;何柳琬;;中国电子垃圾回收企业的环保意识及行为的影响因素分析研究——以浙江为例[J];环境科学与管理;2014年01期
9 黄丽君;;基于离散人工蜂群算法的废弃物逆向物流网络设计[J];福州大学学报(自然科学版);2014年02期
10 袁姣;王秀萍;;电子废弃物回收成本核算模型研究[J];财会通讯;2013年28期
相关博士学位论文 前2条
1 张志宗;清洁生产效益综合评价方法研究[D];东华大学;2011年
2 殷向洲;基于演化博弈的闭环供应链协调问题研究[D];武汉理工大学;2008年
本文编号:2127255
本文链接:https://www.wllwen.com/jingjilunwen/guojimaoyilunwen/2127255.html