Bounded parallel-batching scheduling with two competing agents

B. Q. Fan, Edwin Tai Chiu Cheng, S. S. Li, Q. Feng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

36 Citations (Scopus)

Abstract

We consider a scheduling problem in which two agents, each with a set of non-preemptive jobs, compete to perform their jobs on a common bounded parallel-batching machine Each of the agents wants to minimize an objective function that depends on the completion times of its own jobs The goal is to schedule the jobs such that the overall schedule performs well with respect to the objective functions of both agents We focus on minimizing the makespan or the total completion time of one agent, subject to an upper bound on the makespan of the other agent We distinguish two categories of batch processing according to the compatibility of the agents In the case where the agents are incompatible, their jobs cannot be processed in the same batch, whereas all the jobs can be processed in the same batch when the agents are compatible We show that the makespan problem can be solved in polynomial time for the incompatible case and is NP-hard in the ordinary sense for the compatible case Furthermore, we show that the latter admits a fully polynomial-time approximation scheme We prove that the total completion time problem is NP-hard and is polynomially solvable for the incompatible case with a fixed number of job types
Original languageEnglish
Pages (from-to)261-271
Number of pages11
JournalJournal of Scheduling
Volume16
Issue number3
DOIs
Publication statusPublished - 1 Jun 2013

Keywords

  • Competitive agents
  • Complexity
  • Dynamic programming
  • Parallel-batch
  • Scheduling

ASJC Scopus subject areas

  • Software
  • Engineering(all)
  • Management Science and Operations Research
  • Artificial Intelligence

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