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
Hauptverfasser: Li, Shuguang, Geng, Zhichao
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.
ISSN:0020-0190
1872-6119
DOI:10.1016/j.ipl.2022.106343