Parallel machine scheduling with nested processing set restrictions
Document Type
Article
Publication Date
7-16-2010
Abstract
We consider the problem of scheduling a set of n independent jobs on m parallel machines, where each job can only be scheduled on a subset of machines called its processing set. The machines are linearly ordered, and the processing set of job j is given by two machine indexes aj and bj; i.e., job j can only be scheduled on machines aj, aj + 1, ..., bj. Two distinct processing sets are either nested or disjoint. Preemption is not allowed. Our goal is to minimize the makespan. It is known that the problem is strongly NP-hard and that there is a list-type algorithm with a worst-case bound of 2 - 1 / m. In this paper we give an improved algorithm with a worst-case bound of 7/4. For two and three machines, the algorithm gives a better worst-case bound of 5/4 and 3/2, respectively. © 2009 Elsevier B.V. All rights reserved.
Identifier
71649097955 (Scopus)
Publication Title
European Journal of Operational Research
External Full Text Location
https://doi.org/10.1016/j.ejor.2009.10.025
ISSN
03772217
First Page
229
Last Page
236
Issue
2
Volume
204
Recommended Citation
Huo, Yumei and Leung, Joseph Y.T., "Parallel machine scheduling with nested processing set restrictions" (2010). Faculty Publications. 6200.
https://digitalcommons.njit.edu/fac_pubs/6200
