In this paper we study a proportionate flow shop of batching machines with release dates and a fixed number $m \geq 2$ of machines. The scheduling problem has so far barely received any attention in the literature, but recently its importance has increased significantly, due to applications in the industrial scaling of modern bio-medicine production processes. We show that for any fixed number of machines, the makespan and the sum of completion times can be minimized in polynomial time. Furthermore, we show that the obtained algorithm can also be used to minimize the weighted total completion time, maximum lateness, total tardiness and (weighted) number of late jobs in polynomial time if all release dates are $0$. Previously, polynomial time algorithms have only been known for two machines.
翻译:在本文中,我们研究了一个配成比例的分批机器流动商店,该批发日期和固定号码为$m \ geq 2$的机器。到目前为止,日程安排问题在文献中几乎没有引起任何注意,但最近由于现代生物医学生产工艺工业规模的应用,其重要性大大增加。我们表明,对于任何固定数量的机器来说,在多元时间里,可以尽量减少制造罐和完成时间的总和。此外,我们表明,获得的算法也可以用来尽量减少综合工时的加权总完成时间、最长迟到时间、总延迟时间和(加权的)延迟工数,如果所有发布日期都是0美元的话。以前,只有两部机器才知道多时算法。