June 2007
Systems Science;2007, Vol. 33 Issue 2, p23
Academic Journal
Online scheduling (also known as dynamic scheduling) refers to a real-time coordination of operation processing while new operations are continuously arriving. Despite the attention this area received over last years, little effort has been spent on cases where multiple resources arc required for an operation to be processed. The objective of this paper is the study of different online scheduling techniques specifically in a dynamic, stochastic job shop scheduling with multiple resources. We adopt algorithms for dispatching and optimizing schedulers to this case and provide a quantitative study of their performance under varying stochastic conditions. We also discuss the regret-based algorithm from Bent and Van Hentenryck. While this approach is superior in the case of scheduling single resource, it showed interior performance in our experiments compared to its underlying optimizing scheduler.


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