本文研究排序问题中的E—T问题,工件在单台机器上加工,n个工件的加工时间都为整数P,相同的工期d为离散分布,满足∑i=1^mP(d=ξi)=1,其中ξ为整数,目标是使E(∑(Ei+Tj))的期望值最小。应用贪婪算法和二分法思想,我们提出解决该问题的一个最优算法,并得出该算法的复杂性为O(nmlogp)。
In this paper, the one-machine scheduling with earliness and tardiness is considered. There are n jobs to be processed, and the processing time of all jobs is identical, which is integer. In addition, the jobs'common due date is a stochastic variable satisfying∑i=1^mP(d=ξi)=1 and ξi is integer. The objective is to minimize the expected value of total cost of earliness and tardiness, which could be denoted as E(∑(Ei+Tj)).In order tosolve this problem, a method consisting of greedy algorithm and binary skill is implemented. Moreover, the algorithm analysis reveals the method is polynomial, and the time complexity is O(nmlogp).