Machine Scheduling Algorithm with a New Learning Effect
一种新的学习效应的机器排序问题研究

Recently learning effects in scheduling problems have received growing attention. The position-based learning model seems to be a realistic assumption for the case that the actual processing of the job is mainly machine driven. In this paper, the sum-of-processing-time-based and position-based learning model are considered. The solution procedures for some single-machine and some flowshop problems are given.