我国钢铁企业逆向物流运营模式选择及网络优化研究

发布时间：2018-04-21 17:42

本文选题：逆向物流 + 运营模式　；参考：《北京科技大学》2017年博士论文

【摘要】：废钢的回收利用在钢铁工业发展循环经济中具有重要战略地位。作为炼钢资源的重要补充,用废钢炼钢比用铁矿石炼钢,可节能60%、节水40%、减少废气排放86%、废水76%和废渣97%。在资源问题和环境问题日益严峻的环境下,以及废钢产出大幅增加的形势下,如何建立有效的逆向物流网络,提高废钢资源的循环利用,是我国钢铁工业面临的巨大挑战。针对我国钢铁企业逆向物流管理现状,本研究旨在为我国钢铁企业逆向物流运营模式的选择及逆向物流网络优化设计提供决策支持。同时,为国家推动钢铁产业循环经济的发展提供建议。具体研究从以下四个方面展开:首先回顾总结现有的逆向物流管理、运营模式、网络优化研究以及演化博弈理论和应用研究现状。同时,分析讨论我国钢铁企业逆向物流管理现状,针对理论研究的不足与现实发展需求展开研究。第二,基于网络层次分析法,考虑社会、经济、环境、政府政策、企业内部管理及外部市场环境等方面的因素及因素之间的依赖反馈关系,识别出影响钢铁企业逆向物流运营模式选择的关键因素。第三,以关键因素研究为基础,基于演化博弈理论,分别对逆向物流网络中主体间的合作进行建模,对应地分析自营模、联营模以及外包模式的演化。根据演化规律,结合钢铁企业逆向物流发展现状,为废钢回收网络建设提供决策支持,并提出自营模式是我国钢铁企业逆向物流运营的最优策略。最后,基于演化博弈规律的应用,进一步的,针对自营模式下钢铁企业的逆向物流网络优化设计,提出了多目标混合整数随机规划模型。考虑正向、逆向物流网络的集成,废钢回收数量、质量等不确定因素,从而使模型更符合实际,为企业自建物流网络提供了理论依据。本文创新之处在于:第一,针对钢铁企业废钢回收利用研究严重不足,应用网络层次分析法,对影响逆向物流运营的错综复杂的因素,进行了系统全面的梳理与分析,识别了影响钢铁企业逆向物流运营模式的关键因素;第二,提出了基于演化博弈理论分析逆向物流运营模式的框架,突破了基于传统博弈论研究成果难以应用于现实的限制。应用演化稳定策略,结合我国钢铁企业逆向物流管理现状,提出了钢铁企业逆向物流运营模式的选择决策,扩展了逆向物流运营模式的研究空间;第三,针对现有逆向物流网络优化研究中的不足,构建了考虑产品需求量,回收产品量、回收产品质量不确定性的,正向逆向物流网络集成的,成本最小化和环境最优化的双目标物流网络优化模型,完善了物流网络优化方法。总之,本文从理论上弥补了对钢铁工业逆向物流研究的不足,扩展了逆向物流运营模式的研究空间,完善了逆向物流网络设计研究;在生产实践上,为我国钢铁企业逆向物流运营决策提供科学依据,并为国家政府部门制定促进废钢循环利用发展政策提供了可行建议。
[Abstract]:Scrap recycling plays an important strategic role in the development of recycling economy in iron and steel industry. As an important supplement of steelmaking resources, it can save 60% energy, save 40 water, reduce exhaust gas discharge 86%, waste water 76% and waste slag 97%. Under the increasingly severe environment of resource and environment problems, and under the situation of large increase of scrap output, how to establish effective reverse logistics network and improve recycling of scrap resources is a great challenge faced by China's iron and steel industry. In view of the current situation of reverse logistics management in iron and steel enterprises in China, the purpose of this study is to provide decision support for the selection of the operation mode of reverse logistics and the optimization design of reverse logistics network for iron and steel enterprises in China. At the same time, for the country to promote the development of circular economy iron and steel industry to provide advice. The specific research is carried out from the following four aspects: firstly, the current situation of reverse logistics management, operation mode, network optimization, evolutionary game theory and application are reviewed and summarized. At the same time, the current situation of reverse logistics management in iron and steel enterprises in China is analyzed and discussed. Secondly, based on the Analytic hierarchy process (AHP), the dependence and feedback relationship between social, economic, environmental, government policy, internal management and external market environment are taken into account. Identify the key factors that affect the operation mode selection of reverse logistics in iron and steel enterprises. Thirdly, based on the research of key factors and evolutionary game theory, the cooperation between agents in reverse logistics network is modeled, and the evolution of self-model, associated model and outsourcing mode is analyzed correspondingly. According to the evolution law, combined with the development of reverse logistics in iron and steel enterprises, this paper provides decision support for the construction of scrap recovery network, and puts forward that self-support mode is the best strategy for the reverse logistics operation of iron and steel enterprises in China. Finally, based on the application of evolutionary game law, a multi-objective mixed integer stochastic programming model is proposed for the optimization design of reverse logistics network of iron and steel enterprises under self-support mode. Considering the uncertain factors such as the integration of forward reverse logistics network scrap recovery quantity and quality the model is more practical and provides a theoretical basis for the enterprise to build its own logistics network. The innovation of this paper lies in: first, aiming at the serious shortage of research on scrap recycling in iron and steel enterprises, this paper systematically and comprehensively combs and analyzes the complicated factors that affect the operation of reverse logistics by applying the analytic hierarchy process (AHP). The key factors affecting the operation mode of reverse logistics in iron and steel enterprises are identified. Secondly, the framework of analyzing the operation mode of reverse logistics based on evolutionary game theory is put forward, which breaks through the limitation that the research results based on traditional game theory are difficult to be applied in reality. Applying evolutionary stabilization strategy and combining with the current situation of reverse logistics management in iron and steel enterprises in China, this paper puts forward the decision of choosing the operation mode of reverse logistics in iron and steel enterprises, which expands the research space of reverse logistics operation mode. In view of the shortcomings of the existing reverse logistics network optimization research, this paper constructs an integrated reverse logistics network that takes into account the product demand, the quantity of the recovered product, and the uncertainty of the product quality. The double objective logistics network optimization model based on cost minimization and environmental optimization improves the logistics network optimization method. In short, this paper theoretically makes up for the deficiency of the research on reverse logistics in iron and steel industry, expands the research space of reverse logistics operation mode, and perfects the research of reverse logistics network design. It provides a scientific basis for the decision of reverse logistics operation in iron and steel enterprises in China, and provides feasible suggestions for the government departments to formulate policies to promote the development of recycling utilization of scrap steel.
【学位授予单位】：北京科技大学
【学位级别】：博士
【学位授予年份】：2017
【分类号】：F426.31;F252

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