报废汽车回收与再制造绿色绩效系统动力学建模研究

发布时间：2018-07-04 20:13

本文选题：回收与再制造 + 绿色绩效　；参考：《湖南大学》2016年硕士论文

【摘要】：报废汽车回收与再制造对资源和环境等绿色绩效具有重大影响,但针对回收与再制造全过程绿色要素间的结构关系以及数值演化关系尚未明了,因此,本文从系统工程的角度出发,建立回收与再制造系统结构以及演化关系模型,定性定量研究回收与再制造对绿色绩效的影响。首先,从系统工程的角度分析提炼了回收与再制造系统的绿色影响因子,从过程、主体、技术、组织、信息、控制、资本等不同维度归纳了系统控制因素集,从资源、经济、人因、环境等维度归纳系统绿色绩效输出集。提出因素集之间的关联规则并进行仿真,依据关联结果进行聚类分析从而精简绿色绩效输出集,最终得到包含控制因素集以及绿色绩效输出集在内的50个系统因素。依据因素集之间的关联关系建立了回收与再制造系统有向图,运用解释结构矩阵(ISM)建立了整体结构,并对系统结构进行层次分析以及因素之间的对比分析。其次,从回收行为的角度出发,总结报废汽车回收行为的影响因素,分析因素之间的逻辑关系,并将其归纳为行为态度、主观规范、行为控制、回收动机、情景因素、余效影响六个方面,建立报废汽车回收行为推理系统。对系统内各因素进行问卷调查,得出各因素的云模型数值特征和初始值以及各系统因素间的定性演化规则,并进行数值演化仿真,最后对结果进行分析,并讨论余效影响、情景因素、人口统计变量对回收行为的影响。最后,基于结构模型以及回收行为系统云模型的基础上,建立报废汽车回收与再制造绿色系统动力学模型,研究了回收与再制造对资源、环境、人因等绿色绩效的影响。
[Abstract]:Recycling and remanufacturing of end-of-life vehicles have a significant impact on green performance, such as resources and environment, but the structural and numerical evolution relationships between green elements in the whole process of recycling and remanufacturing are not clear. From the point of view of system engineering, this paper establishes the structure of recovery and remanufacturing system and its evolutionary relationship model, and studies the effect of recycling and remanufacturing on green performance qualitatively and quantitatively. First of all, from the point of view of system engineering, the green influence factors of recycling and remanufacturing system are analyzed and refined. From the different dimensions of process, main body, technology, organization, information, control, capital and so on, the set of system control factors is summarized. Human factors, environment and other dimensions induces the system green performance output set. The association rules between factor sets are proposed and simulated. Clustering analysis based on the association results is carried out to simplify the green performance output set. Finally 50 system factors including the control factor set and the green performance output set are obtained. The directed graph of recovery and remanufacturing system is established according to the correlation relationship between factor sets, and the whole structure is established by means of explain structure matrix (ISM), and the system structure is analyzed by hierarchical analysis and comparative analysis among factors. Secondly, from the perspective of recycling behavior, this paper summarizes the influencing factors of recycling behavior of end-of-life vehicles, analyzes the logical relationship between the factors, and concludes them as behavioral attitude, subjective norms, behavior control, recovery motivation, situational factors. Based on six aspects of residual effect, a reclaim behavior reasoning system for scrap vehicles is established. Through the questionnaire survey of the factors in the system, the numerical characteristics and initial values of the cloud model of each factor and the qualitative evolution rules among the factors of the system are obtained, and the numerical evolution simulation is carried out. Finally, the results are analyzed, and the effects of the residual effects are discussed. The influence of demographic variables on recovery behavior. Finally, based on the structure model and the cloud model of recycling behavior system, the green system dynamics model of recycling and remanufacturing of end-of-life vehicles is established, and the effects of recycling and remanufacturing on the green performance of resources, environment and human factors are studied.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F426.471;F713.2;N941.3

【相似文献】