Abstract
In this paper we study the problems of scheduling jobs with agreeable processing times and due dates on a single batch processing machine to minimize total tardiness, and weighted number of tardy jobs. We prove that the problem of minimizing total tardiness is NP-hard even if the machine capacity is two jobs and we develop a pseudo-polynomial-time algorithm for an NP-hard special case of this problem. We also develop a pseudo-polynomial-time algorithm for the NP-hard problem of minimizing weighted number of tardy jobs, which suggests that this problem cannot be strongly NP-hard unless P=NP.
Original language | English |
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Pages (from-to) | 159-169 |
Number of pages | 11 |
Journal | Theoretical Computer Science |
Volume | 374 |
Issue number | 1-3 |
DOIs | |
Publication status | Published - 20 Apr 2007 |
Keywords
- Agreeable
- Batch processing
- Scheduling
ASJC Scopus subject areas
- Computational Theory and Mathematics