Computing super-schedules

1Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

RobustScheduler is a graphical tool for computing and visualising robust schedules. It allows to compare optimal schedules (shortest overall duration) with schedules that are robust, although not necessarily optimal. Both the optimal and robust schedule are computed and displayed as Gantt charts. Moreover, the consequences of delaying a task on the rest of the schedule can be checked interactively. The robust schedules are more robust than the optimal since a small pertubation (e.g. a machine breaks) gives a proportionally small disturbance to the future, in line with the Super-solution/Super-model framework ([2,3]). The underlying constraint solver1 implements the job-shop scheduling problem using standard constraint programming methods such as shaving [1], specialised variable orderings [5] and specialised constraint propagators. The Swper-solutions are found using an algorithm introduced in [4]. © Springer-Verlag Berlin Heidelberg 2005 References.

Cite

CITATION STYLE

APA

Hebrard, E., Tyler, P., & Walsh, T. (2005). Computing super-schedules. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3709 LNCS, p. 879). https://doi.org/10.1007/11564751_117

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free