Bicriteria scheduling on an unbounded parallel-batch machine for minimizing makespan and maximum cost
This paper studies the bicriteria problem of scheduling n jobs on an unbounded parallel-batch machine. The goal is to minimize makespan and maximum cost simultaneously. When the jobs have arbitrary processing times and equal release dates, we obtain an O(n3)-time algorithm, improving the previously...
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Veröffentlicht in: | Information processing letters 2023-02, Vol.180, p.106343, Article 106343 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This paper studies the bicriteria problem of scheduling n jobs on an unbounded parallel-batch machine. The goal is to minimize makespan and maximum cost simultaneously. When the jobs have arbitrary processing times and equal release dates, we obtain an O(n3)-time algorithm, improving the previously best known O(n4)-time algorithm. When the jobs have equal processing times and arbitrary release dates with a precedence relation, we also obtain an O(n3)-time algorithm, which is the first polynomial time algorithm for this problem.
•Study unbounded parallel-batch scheduling to minimize makespan and maximum cost simultaneously.•Obtain a faster algorithm when the jobs have arbitrary processing times and equal release dates.•Obtain the first polynomial time algorithm when the jobs have equal processing times and arbitrary release dates with a precedence relation. |
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ISSN: | 0020-0190 1872-6119 |
DOI: | 10.1016/j.ipl.2022.106343 |