%0 Journal Article
%T 考虑物料配送的飞机移动生产线调度问题优化<br>Optimization of aircraft moving assembly line scheduling problem considering material delivery
%A 胡鑫铭
%A 陆志强
%J 北京航空航天大学学报
%D 2017
%R 10.13700/j.bh.1001-5965.2016.0932
%X 摘要 以飞机移动生产线为实际背景，将作业装配过程调度抽象为资源受限项目调度问题并进行了扩展，引入物料配送与线边存储决策，以及相关能力约束等实际因素，建立了以装配总工期最小化为目标的数学模型。针对模型，设计了一种以遗传算法为框架的启发式算法，其中结合了解生成算法和局部优化搜索算法。在遗传算法较优的全局搜索能力下，通过SCRDS算法综合作业顺序、资源约束、配送能力、线边空间等因素，联合决策作业开始时间、物料配送时间和物料在线边空间的存储位置，提出了两作业间物料摆放位置调整的局部优化搜索算法，对作业开始时间和物料配送时间进行再优化，进一步缩短了装配总工期。利用标准算例库进行了数值实验，实验结果证明了模型与算法的有效性。<br>Abstract：This paper abstracted the scheduling of assembly process as a resource-constrained project scheduling problem in the background of aircraft moving assembly line, and decisions about material delivery and the storage of line-side material were introduced considering the capabilities, constraints and other practical factors. An integrating mathematical model with the objective of minimizing the makespan was established. A heuristic algorithm was proposed based on genetic algorithm framework, combining with solution generation algorithm and local optimization search algorithm. With the global searching advantages of genetic algorithm, a joint decision of start time, material delivery time and material storage position in line-side space for each job was made taking into account job sequence, resource constraints, delivery capability, line-side space and other factors through SCRDS algorithm. On this basis, a local optimization algorithm aiming at adjusting line-side material positions between two jobs was proposed to re-optimize the start time and material delivery time of jobs, which decreases the project duration further. Numerical experiments were carried out by using a standard example library and the results proved the validity of the model and algorithm.
%K 飞机移动生产线
%K 物料配送
%K 遗传算法
%K SCRDS算法
%K 局部优化&lt
%K br&gt
%K aircraft moving assembly line
%K material delivery
%K genetic algorithm
%K SCRDS algorithm
%K local optimization
%U http://bhxb.buaa.edu.cn/CN/abstract/abstract14223.shtml