Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10348064 | Computers & Operations Research | 2012 | 4 Pages |
Abstract
In various real life scheduling systems job processing times vary according to the number of jobs previously processed. The vast majority of studies assume a restrictive functional form to describe job processing times. In this note, we address a scheduling problem with the most general job processing time functions. The machine setting assumed is an m-machine proportionate flowshop, and the objective function is minimum number of tardy jobs. We show that the problem can be formulated as a bottleneck assignment problem with a maximum cardinality constraint. An efficient polynomial time (O(n4 log n)) solution is introduced.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Gur Mosheiov, Daniel Oron,