面向多尺度箱式时间窗与路径库存整合的入厂物流协同优化调度模型与算法研究

入厂物流是制造企业的重要物流环节, 协同优化是决定出厂物流运作水平的关键因素。通过深入分析入厂物流的实际运作问题及需求,本项目提出研究一类新的考虑多尺度箱式时间窗协同与路径库存协同优化调度问题。在对该协同决策过程进行系统分析的基础上，研究协同调度的系统模型与数学规划模型的建模方法。基于物流与供应链、调度、组合优化与计算复杂性理论，从建立协同优化调度模型与设计高效优化算法的角度出发，研究问题解的最优性条件以及时间窗协同与路径库存协同的数学特征量。分析问题的计算难解性,并设计精确及启发式算法,从理论及数值上研究模型及算法性能。通过合作企业进行实证研究，提出高效鲁棒的系统解决方案。研究内容属于物流与供应链管理的应用基础研究，研究方法具有可行性和探索性，研究成果有较强的理论价值。项目完成对促进管理科学、物流工程、调度理论与组合优优化等学科的发展有较强的科学价值。

Inbound logistics is the key phrase for manufacturer to satisfy their customers. Collaborative optimization plays an important factor in improving the operational level of inbound logistics. By analyzing the real requirements for inbound logistics, the proposal presents a so called collaborative optimization scheduling problem with multiple scaling bin time windows and inventory routines. Modeling methodologies including mathematical programming will be studied based on the systematic description of decision process. In order to build efficient models and design high performance algorithms, optimal conditions of solutions, mathematical indices of properties and computational intractability of problems will be first investigated. Then exact and approximation algorithms will be given with performance analysis from both theoretical and practical aspects. By cooperation with a 3PL company, a robust systematic solution will be provided. Our studies belong to the fundamental applied theoretical research for logistics and supply chain, and research methodologies adopted in the proposal are feasible and innovative. The expected results have strong theoretical values. It is significant to implement the project for the development of management science, logistics engineering, scheduling, combinatorial optimization and etc. The proposal is motivated by practical consultation, and therefore expected results will have much practical significance in logistics practices, and logistics technologies developments.