This paper studies the bicriteria problem of scheduling $n$ jobs on a parallel-batching machine to minimize maximum cost and makespan simultaneously. A parallel-batching machine is a machine that can handle up to $b$ jobs in a batch. The jobs in a batch start and complete respectively at the same time and the processing time of a batch is equal to the largest processing time of jobs in the batch. We consider the unbounded case. For the above bicriteria scheduling problem, we present an $O(n^{3})$-time algorithm, which improved the best known $O(n^{4})$-time algorithm, and the time complexity is the same as the special case in which maximum cost is maximum lateness. Meanwhile, our algorithm can also solve the single-criterion unbounded parallel-batching scheduling problem to minimize maximum cost in $O(n^{3})$ time, which improved the best known $O(n^{4})$-time algorithm.
An improved algorithm on unbounded parallel-batching scheduling to minimize maximum cost and makespan
Cheng He,Jing Wu,Jinglei Xu,Junling Wang
Published 2023 in RAIRO Oper. Res.
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- Publication year
2023
- Venue
RAIRO Oper. Res.
- Publication date
2023-01-13
- Fields of study
Mathematics, Computer Science
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