在混合流水车间的构建过程中，每个阶段配置几台平行机最为合理是一个有待确定的问题。
In the establishment of hybrid flow shop (HFS), how many parallel machines being set at every stage will be reasonable is a problem to be studied.
针对混合流水车间调度问题，提出了分阶段加工优先级的调度原则，并将迭代局部搜索算法应用于求解此问题。
Multistage processing priority was developed for the hybrid flow shop problem and an iterated local search algorithm was used for solving this kind of problem.
将炼钢连铸生产计划中炉机优化匹配问题归结为一个不允许等待的混合流水车间排序问题来进行研究，提出了一个启发式算法-最小偏差算法。
A hybrid flow shop scheduling problem with no-wait is derived from the optimal matching of furnaces and machines in steel making casting production.
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