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A tight approximation ratio of a list scheduling algorithm for a single-machine scheduling problem with a non-renewable resource

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Abstract

In this paper, we investigate an open problem by Györgyi and Kis for a single-machine scheduling problem with a non-renewable resource (NR-SSP) and total weighted completion time criterion. The problem is NP-hard, even if every job has the same processing time, and each weight is equal to its required amount of the resource. Györgyi and Kis prove that a simple list scheduling algorithm for this special case is a 3-approximation algorithm and conjecture that the algorithm for the case is a 2-approximation algorithm. We prove their conjecture. More strongly, we show that the approximation ratio is strictly less than 2 for any instance, and for any \( \epsilon > 0 \), there exists an instance for which the approximation ratio is more than \( 2-\epsilon \).

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Correspondence to Susumu Hashimoto.

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This research is supported in part by Grant-in-Aid for Science Research (A) 19H00808 of Japan Society for the Promotion of Science.

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Hashimoto, S., Mizuno, S. A tight approximation ratio of a list scheduling algorithm for a single-machine scheduling problem with a non-renewable resource. J Sched 24, 259–267 (2021). https://doi.org/10.1007/s10951-021-00681-y

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