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AAAI 2021

A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem

Conference Paper AAAI Technical Track on Planning, Routing, and Scheduling Artificial Intelligence

Abstract

The NP-hard MATERIAL CONSUMPTION SCHEDULING PROBLEM and related problems have been thoroughly studied since the 1980’s. Roughly speaking, the problem deals with minimizing the makespan when scheduling jobs that consume non-renewable resources. We focus on the singlemachine case without preemption: from time to time, the resources of the machine are (partially) replenished, thus allowing for meeting a necessary pre-condition for processing further jobs, each of which having individual resource demands. We initiate a systematic exploration of the parameterized computational complexity landscape of the problem, providing parameterized tractability as well as intractability results. Doing so, we mainly investigate how parameters related to the resource supplies influence the computational complexity. Thereby, we get a deepened understanding of this fundamental scheduling problem.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
307708180741690873