加工时间可控的绿色车间调度理论与方法

Green manufacturing is the inevitable trend in the development of manufacturing industry, while green shop scheduling is an important part of green manufacturing and one of the research hotspots in this manufacturing field. Meanwhile, with the development of market economy, the consideration of controllable processing times in shop scheduling is more accorded with the real-world production demands. This project focuses on green shop scheduling problem with controllable processing times in the complex production environment， and investigates intelligent optimization scheduling theory and method in the green manufacturing system. In the model, a shop scheduling model for the integration of economic, environmental and social benefits under uncertain environment is constructed. Regarding the method, design the dynamic scheduling strategy, and energy conservation and emission reduction strategy for uncertain events and green requirements. The problem domain knowledge and intelligent optimization method are deeply integrated to develop an efficient and feasible multi-objective/many-objective scheduling algorithm. In the application, the simulation optimization platform is developed to verify the feasibility and accuracy of the proposed scheduling model and scheduling algorithm. This project will provide new theories and methods for the efficiency and green of the manufacturing system, and promote the transformation of theoretical achievement, which has important academic research significance and engineering application value.

绿色制造是制造业发展的必然趋势，而绿色车间调度是绿色制造的重要组成部分，也是制造领域的研究热点之一。同时随着市场经济的发展，考虑加工时间可控性的车间调度更符合实际生产。本项目以复杂生产环境下加工时间可控的绿色制造车间调度问题为研究对象，深入开展绿色制造系统智能优化调度理论与方法研究。在模型上，构建复杂生产环境下面向经济、环境及社会效益一体化的车间调度模型；在方法上，针对不确定事件和绿色需求，设计出动态调度策略及节能减排策略，将问题领域知识与智能优化方法进行深度融合，研制出高效可行的多目标/高维多目标调度算法；在应用上，开发实验仿真优化平台，以验证所提调度模型和调度算法的可行性和准确性。本项目将为制造系统运行的高效化和绿色化提供新的理论与方法，促进理论成果的转化，具有重要的学术研究意义和工程应用价值。

绿色车间调度是绿色制造的重要组成部分，目前大多数的车间调度研究主要集中在经济效益优化目标，而忽视了生产衍生出的环境问题。本项目以复杂生产环境下绿色制造车间调度问题为研究对象，深入开展绿色制造系统智能优化调度理论与方法研究。主要内容包括绿色混合流水车间调度模型、绿色分布式置换流水车间调度问题以及应用三方面。在模型上，构建复杂生产环境下面向经济、环境及社会效益一体化的车间调度模型；在方法上，针对不确定事件和绿色需求，设计出动态调度策略及节能减排策略，将问题领域知识与智能优化方法进行深度融合，研制出高效可行的多目标/高维多目标调度算法；在应用上，开发实验仿真优化平台，以验证所提调度模型和调度算法的可行性和准确性。本项目将进一步丰富绿色车间调度理论与方法的体系，促进理论成果的转化，具有一定的学术研究意义和工程应用价值。