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Is 2 the optimal worst-case approximation ratio of LPT on USP-C?

Ascertain whether the worst-case approximation ratio of the Longest Processing Time First heuristic on the Uniform Machine Scheduling Problem with Processing Set Restrictions (USP-C) is 2; either prove that 2 is tight or provide a strictly smaller upper bound.

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Background

The paper positions DWP as a special case of USP-C, where each job can only be processed by a subset of machines. The authors construct a simple instance in USP-C for which LPT attains an approximation ratio approaching 2, contrasting with an optimal schedule that completes more quickly.

They explicitly note that whether this 2-approximation example is tight for LPT on USP-C remains unknown, highlighting a fundamental gap in understanding LPT's worst-case performance under processing set restrictions.

References

This gives us an approximation ratio of 2 as ε approaches zero in this example (whether this ratio is optimal or not for the LPT heuristic on USP-C is an open question).

Two Results on LPT: A Near-Linear Time Algorithm and Parcel Delivery using Drones (2407.16323 - Chandran et al., 23 Jul 2024) in Subsection "DWP ⊂ USP-C ⊂ UnrelSP"