基于分解协调机制的成品出厂物流集成调度问题研究

The optimization of distribution logistics of final products is very important for pocess industries to furhter reduce production cost. However, previous researches are mainly foucsed on only the sub-process of the distribution logistics of final products, which consequently cannot achieve the global optimzation. Taking the shipping logistics of final products in iron and steel industry as the background, this project derives and then researches the modeling and optimizatioin algorithms for the integrated distribution logsitics scheduling of final products. By introducing the idea of decomposition and coordination, this problem is firstly decomposed into two subproblems, namely the stowage scheduling and the transportation scheduling. In the implementation layer, for the stowage process in the dock, the modeling and optimization algorithms of the stowage scheduling problem integrating the consolidation planning and stowage planning are investigated so as to determine which final products to be loaded and their corresponding loading sequence and time. Then, based on the stowage scheduling result, the modeling and optimization algorithms of the transportation scheduling problem from storehouses to the dock are studied. Finally, in the coordination layer, the impact index of each product on the transportation efficiency is proposed. Through the feedback of products with higher impact to the the consolidation planning and stowage planning, a closed two-layer negative feedback coordination mechanism can be constructed to achieve the integrated optimzation. This project can help the process industries to improve the convergence of transportation logistics and stowage logsitics, which in turn can effectively reduce the cost of warehousing and logistics, and promote the theory and method of logistics scheduling in process industries.

成品出厂物流优化对于流程工业降低成本具有非常重要的意义，以往研究多是针对单个子问题，难以实现整体优化。本项目以水运出厂物流为背景，研究流程工业成品出厂物流集成调度问题的理论与方法。拟基于分解协调思想，首先将其分解为水运装船调度和成品运输调度两个子问题。然后，在执行层针对装船过程，研究集成装配计划与配载计划优化的水运装船调度问题的建模与优化方法，以确定需要进行装船的成品以及它们的装船顺序和时间；再基于水运装船调度的优化结果，研究从成品库到码头的成品运输调度问题的建模与优化方法。最后，在协调层提出成品对整体物流效率的影响指标，将对整体物流效率影响较大的成品反馈到配载计划和装配计划，进而形成一个闭环的两级负反馈协调机制，以实现成品出厂物流调度的集成优化。本项目的研究可以帮助流程工业企业提高成品运输与装船过程中物流衔接的顺畅程度，有效降低仓储和物流成本，并发展和完善流程工业的物流调度理论和方法。

本课题以钢铁企业的实际成品运输过程为研究对象，从中提炼出了产成品运输与装船协调物流调度问题。针对该问题，从建模方法、多目标优化算法、应用验证等多个角度进行了深入的研究。.针对钢铁企业产成品运输与装船协调物流调度问题，从多目标优化角度，提出了以下建模方法：(1) 钢铁企业出厂物流集成多目标优化问题的建模方法； (2) 热轧生产多目标集成调度问题的建模方法。.针对钢铁企业产成品运输与装船协调物流调度问题的多目标智能优化算法，提出了以下改进多目标算法：(1) 具有两层结构的多目标变邻域搜索算法； (2) 考虑可行性保障的改进的多目标离散差分进化算法；(3) 基于进化记忆策略的自适应多目标差分进化算法。.针对钢铁企业的实际出厂物流过程，利用实际数据进行了仿真验证研究： (1) 钢铁企业出厂物流集成多目标调度；(2) 热轧生产多目标集成调度。.围绕以上研究内容，在IEEE Access (JCR 1区)、Complexity (JCR 1区)等国际期刊发表和录用论文7篇，在《控制工程》等国内著名期刊发表论文4篇，在国际会议发表论文2篇；申请国家发明专利5项，其中授权1项。在人才培养方面，培养并毕业了4名硕士。