汽车制造业面临激烈的市场竞争，零部件物流是汽车企业价值链的重要增值活动。在可持续发展理念指导下，生态效率成为零部件物流系统优化的重要目标之一。深入讨论汽车零部件物流系统生态效率的内涵，研究管理机制的优化，有助于进一步探寻零部件物流系统的内在规律和管理要求，推动理论向实践应用转化，有利于落实“中国制造2025”，具有重要的现实意义。从系统角度，整体考虑汽车零部件物流的主要流程，以参与各方的生态效率最优为整合优化目标，从供应链管理全局优化来研究供应物流系统，具有重要的理论价值。为此本文主要从以下四个方面展开了研究： (1)通过对汽车零部件物流系统生态化的目标、内涵和影响因素进行界定与分析，指出汽车零部件物流系统生态效率的内涵实质是实现物质减量化和经济产出的增加；政府制度支持、市场推动作用以及公众压力推动等外部因素和经济利益驱动、社会价值的驱动等内部驱动因素及环保因素、管理水平、系统转换能力、人力资本以及信息技术等内部制约因素是影响当前汽车零部件物流系统生态效率的主要因素。通过进一步结合汽车零部件物流系统的业务过程以及汽车零部件物流系统的生态化特征，从资源输入(Resource)、系统转换(Structure)、输出质量(Quality)三个方面出发，构建了汽车零部件物流系统生态效率的RSQ模型。 (2)根据汽车零部件物流配送的特点，依据一定的选取原则合理地选取指标，建立了包括投入、产出和外部环境变量指标三大子系统的物流系统生态效率指标评价体系。以长丰猎豹汽车作为研究对象，运用三阶段DEA和随机前沿模型对汽车零部件物流系统生态效率进行了评价。评价结果显示：先进制造技术的投入、现代管理水平的提升不仅提升了经济产出，还降低了资源投入，减少了物流系统受到外部环境变量和随机因素的影响，提高了物流系统的生态效率；物流生态系统的规模效率远比不上技术效率，汽车零部件物流系统生态效率的提升不仅依赖于企业先进制造技术与管理经营理念的革新，还受到诸如行业技术标准、产业发展水平、政府规制能力等外部环境因素的影响。 (3)基于汽车零部件物流系统生态效率的特点，提出了资源配置减量化和资源调度节约化两大汽车零部件物流系统生态效率动态优化的基石，以及以提高物流系统动态适应性、提高系统鲁棒性作为实现以上两大目标的基础条件，由此构建了汽车零部件物流系统生态效率的动态优化概念模型。进而，分别围绕汽车零部件物流资源配置减量化、汽车零部件物流资源调度节约化和汽车零部件物流系统动态适应性优化的目标，建立了负荷可变下的汽车零部件物流资源优化配置双层规划模型，面向生态优先的物流服务资源调度模型和基于物流系统适应性评价函数的多目标综合优化模型，通过设计算法对以上模型分别进行了求解，并采用算例分析验证了以上模型的科学性和有效性。 (4)根据物流系统理论和生态效率理论，将汽车零部件物流系统视作一个有机的整体系统，以长丰集团有限责任公司永州工厂作为汽车零部件物流生态效率优化的案例，围绕所建立的汽车零部件物流资源配置优化模型和物流资源调度优化模型，采用Arena软件从物流资源仿真(仓储面积、人员、车辆、道路等)；物流路径仿真(厂内配送路径、波次)；作业调度仿真(多种规则的混合利用与选择)三方面进行了仿真分析，验证了优化模型的科学性，并根据仿真结果，从提升物流系统应对不确定环境的能力、提升物流系统资源要素的功能和应用场景、提升物流系统快速响应能力三方面，针对性地提出了优化长丰集团有限责任公司永州工厂汽车零部件物流系统生态效率的建议，从而为我国其他制造业企业零部件物流提高生态效率也提供了重要启示。 本文基于企业内部运营视角，提出了汽车零部件物流系统生态效率的影响要素模型。以汽车零部件物流资源配置减量化、资源调度节约化和物流系统动态适应性为优化目标，本文构建了汽车零部件物流系统生态效率动态优化模型，并设计了相应的模型求解方法。在理论与实践上，为我国汽车制造企业零部件物流系统生态效率的改善提供了新的视角与方法。 图31幅，表52个，参考文献201篇 关键词：汽车零部件物流；物流系统；生态效率；优化决策 分类号：C935

 The automobile industry is faced with fierce market competition, and parts logistics is an important value-added activity of the automobile enterprise value chain. Under the guidance of the sustainable development concept, ecological efficiency has become one of the important goals of the optimization of parts logistics system. An in-depth discussion of the connotation of the eco-efficiency of the auto parts logistics system, and a study of optimization of the management mechanism have a realistic significance, which will help to further explore the inherent laws and management requirements of the parts logistics system, as well as promote the transformation of theory to practice, and facilitate the implementation of "Made in China 2025". From the perspective of system, it has an important theoretical value that considering the main process of auto parts logistics as a whole, taking the optimal eco-efficiency of all parties as the integration optimization goal to study the supply logistics system from the global optimization of supply chain management. For this dissertation, the following four aspects are mainly studied: Firstly, by defining and analyzing the objectives, connotations and influencing factors of the ecologicalization of auto parts logistics system, it is pointed out that the connotation of the eco-efficiency of auto parts logistics system is to achieve material reduction and increase economic output. Besides, external factors, economic interest and social value such as government system support, market-driven, public pressure, environmental factors, management levels, system conversion capabilities, human capital as well as information technology are internal constraints that affect current auto parts logistics systems. Based on the operation process and ecological characteristics of the delivery system of automobile parts, we build a RSQ model of eco-efficiency of auto parts logistics system from three aspects: resource input, system structure and output quality. Secondly, according to the characteristics of auto parts logistics and distribution system and certain selection principles, we reasonably select indicators, and establish the ecological efficiency index evaluation system of logistics system including input and output subsystems, then we innovatively evaluate the ecological efficiency of auto parts logistics system through the three-stage DEA model. The results show that the investment in advanced manufacturing technology and the improvement of modern management level not only improve economic output, but also reduce resource input and the impact of logistics system on external environmental variables and random factors. It also improves the ecological efficiency of logistics system; logistics ecosystem scale efficiency is far less than technical efficiency. The improvement of the eco-efficiency of auto parts logistics system depends not only on the innovation of advanced manufacturing technology and management concept, but also on external environmental factors such as industry technical standards, industrial development level and government regulatory capacity. Thirdly, based on the characteristics of the eco-efficiency of the auto parts logistics system, this paper proposes the two cornerstones of the dynamic optimization of the auto parts logistics systems' ecological efficiency, i.e. the resource allocation reduction and resource scheduling conserving. Moreover, we point out that the basic condition to achieve the above two goals are the dynamic adaptability of the logistics system and flexibility of the system. As a result, a dynamic optimization conceptual model of the eco-efficiency of the auto parts logistics system is constructed. Furthermore, around the goal of reducing the allocation of auto parts logistics resources, saving the auto parts logistics resources and optimizing the dynamic adaptability of auto parts logistics system, the two layers planning model of the optimal allocation of auto parts logistics resources under variable load, the ecological priority logistics service resource scheduling model and the multi-objective comprehensive optimization model based on the logistics system adaptive evaluation function are modeled respectively. We solve the above models by designing specific algorithms and use the example analysis to verify the science and effectiveness of the above models. Finally, according to the logistics system theory and the eco-efficiency theory, the auto parts logistics system is regarded as an organic whole system. Taking Changfeng Group Co., Ltd. as the case of the optimization of the eco-efficiency of auto parts logistics, we uses resource allocation optimization model and logistics resource scheduling optimization model and Arena software to simulate the logistics resources (storage area, personnel, vehicles, roads, etc.), logistics path (in-plant distribution path, wave) and job scheduling (multiple rules). The simulation analysis of the three aspects of hybrid utilization and selection verifies the scientific nature of the optimization model. Based on the simulation results, we propose the suggestions, such as: improving the logistics system's ability to cope with uncertain environments, the functions and application scenarios of logistics system resource, the system's rapid response capability, to optimize the eco-efficiency of the auto parts logistics system of the Changfeng Group Co., Ltd., which provides suggestions for improving the eco-efficiency of parts logistics for other manufacturing enterprises in China as well. Based on the perspective of internal operation, this paper puts forward the influencing factor model of the ecological efficiency of automotive parts logistics system. In this paper, a dynamic optimization model of the ecological efficiency of the automotive parts logistics system is established and a corresponding solution method is designed. In theory and practice, it provides a new perspective and method for improving the ecological efficiency of the parts logistics system in automobile manufacturing enterprises. 31 figures, 52 tables, 201 references Keywords: Automobile Parts Logistics, Logistics System, Ecological Efficiency, Optimization Decision Classification: C935