技术站是铁路货物运输网络中的重要节点，其工作组织水平显著影响整个铁路货物运输的服务效率和质量。技术站的日常工作通过编制作业计划来组织，需同时解决多项既相对独立又相互联系的复杂决策。作业计划至今仍由车站调度员凭借经验编制，且既有研究不能完全满足实际运营的要求，亟待开发理论缜密且实际可用的作业计划整体优化编制理论与方法。本项目基于多学科协同优化理论，利用作业计划本质上的可分解性，将不同运营条件下的作业计划整体编制问题统一分解为配流、进路调度和调车调度子问题。运用两阶段流水车间调度理论开发考虑严格满轴条件的配流优化方法；利用作业车间调度理论开发具有时空一致性约束的进路调度优化方法；借鉴固定区间调度理论开发囊括编组顺序要求的调车调度优化方法；联合子问题优化方法，开发基于多学科协同优化的作业计划整体编制全局优化方法。研究结果可为实现技术站工作组织的自动化、智能化和高效化提供一定的理论依据和技术支持。

Technical stations are important terminals in the railway freight transportation network. Their operational efficiency significantly impacts the efficiency and quality of the total railway freight transportation service. The daily activities of a technical station are organized by designing an operation plan, in which several both independent and interrelated complicated decisions have to be optimized simultaneously. The operation plan of technical stations is still manually designed by experienced scheduler till now. Meanwhile, previous works cannot adequately satisfy the practical operational requirements. Hence, it is urgent to develop theoretically rigorous and practically implementable optimization theories and methods to holistically design the operation plan of technical stations. Based on the multidisciplinary collaborative optimization theory, this project explores the inherent decomposable characteristics of the operation plan and decomposes it under different operational conditions consistently into three critical sub-problems including the railcar allocation problem, the route scheduling problem and the shunting scheduling problem. Firstly, we employ the two-stage flow shop scheduling theory to develop optimization approaches for the railcar allocation problem with strict loading conditions. Secondly, we utilize the job shop scheduling theory to develop optimization approaches for the route scheduling problem with time-space consistency constraints. Thirdly, we refer the fixed interval scheduling theory to develop optimization approaches for the shunting scheduling problem with assembly sequence requirements. Finally, we combine the solution approaches of the three critical sub-problems and utilize the multidisciplinary collaborative optimization theory to develop global optimization approaches for the holistic operation plan design problem. The output of the project can provide certain theoretical guidelines and technological supports for achieving the automated, intelligent and efficient management of the operations in technical stations.