Document Type
Contribution to Book
Publication Date
2016
Publication Title
Proceedings of the International Symposium on Algorithms and Computation
DOI
10.4230/LIPIcs.ISAAC.2016.55
ISBN
978-3-95977-026-2
ISSN
1868-8969
Abstract
We consider the single machine scheduling problem with job-dependent machine deterioration. In the problem, we are given a single machine with an initial non-negative maintenance level, and a set of jobs each with a non-preemptive processing time and a machine deterioration. Such a machine deterioration quantifies the decrement in the machine maintenance level after processing the job. To avoid machine breakdown, one should guarantee a non-negative maintenance level at any time point; and whenever necessary, a maintenance activity must be allocated for restoring the machine maintenance level. The goal of the problem is to schedule the jobs and the maintenance activities such that the total completion time of jobs is minimized. There are two variants of maintenance activities: in the partial maintenance case each activity can be allocated to increase the machine maintenance level to any level not exceeding the maximum; in the full maintenance case every activity must be allocated to increase the machine maintenance level to the maximum. In a recent work, the problem in the full maintenance case has been proven NP-hard; several special cases of the problem in the partial maintenance case were shown solvable in polynomial time, but the complexity of the general problem is left open. In this paper we first prove that the problem in the partial maintenance case is NP-hard, thus settling the open problem; we then design a 2-approximation algorithm.
Recommended Citation
Luo, Wenchang, Xu Yao, Weitian Tong, Guohui Lin.
2016.
"Single Machine Scheduling with Job-Dependent Machine Deterioration."
Proceedings of the International Symposium on Algorithms and Computation, Seok-Hee Hong (Ed.), 64: 55:1-55:13 Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik.
doi: 10.4230/LIPIcs.ISAAC.2016.55 isbn: 978-3-95977-026-2
https://digitalcommons.georgiasouthern.edu/compsci-facpubs/72
Comments
Copyright © 2016 Wenchang Luo, Yao Xu, Weitian Tong, and Guohui Lin; licensed under Creative Commons License CC-BY. Article retrieved from Proceedings of the International Symposium on Algorithms and Computation.