Calibration scheduling with time slot cost

  • Kai Wang*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we study the scheduling problem with calibration and time slot cost. In this model, the machine has to be calibrated to run a job and the calibration remains valid for a fixed time period of length T, after which it must be recalibrated before running more jobs. On the other hand, a certain cost will be incurred when the machine executes a job and the cost is determined by the time slots occupied by the job in the schedule. We work on the jobs with release times, deadlines and identical processing times. The objective is to schedule the jobs on a single machine and minimize the total cost while calibrating the machine at most K times. We propose dynamic programmings for different scenarios of this problem, as well as a greedy algorithm for the non-calibration version of this problem.

Original languageEnglish
Title of host publicationAlgorithmic Aspects in Information and Management - 12th International Conference, AAIM 2018, Proceedings
EditorsSergiy Butenko, Shaojie Tang, Ding-Zhu Du, David Woodruff
PublisherSpringer Verlag
Pages136-148
Number of pages13
ISBN (Print)9783030046170
DOIs
StatePublished - 2018
Externally publishedYes
Event12th International Conference on Algorithmic Aspects in Information and Management, AAIM 2018 - Dallas, United States
Duration: 3 Dec 20184 Dec 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11343 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Algorithmic Aspects in Information and Management, AAIM 2018
Country/TerritoryUnited States
CityDallas
Period3/12/184/12/18

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