Online Scheduling on a Parallel Batch Machine with Delivery Times and Limited Restarts

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  • 1 Department of Mathematics, East China University of Science and Technology, Shanghai 200237, China;
    2 College of Science, Henan University of Engineering, Zhengzhou 451191, Henan, China

Received date: 2020-09-04

  Revised date: 2020-12-17

  Online published: 2022-03-23

Abstract

The online scheduling on an unbounded parallel batch machine with delivery times and limited restarts is studied in this paper. Here, online means that jobs arrive over time and the characteristics of a job become known until it arrives. Limited restarts mean that once a running batch contains at least one restarted job, it cannot be restarted again. The goal is to minimize the time by which all jobs have been delivered. We consider a restricted model that the delivery time of each job is no more than its processing time. We present a best possible online algorithm with a competitive ratio of 3/2 for the problem.

Cite this article

Hai-Ling Liu, Xi-Wen Lu . Online Scheduling on a Parallel Batch Machine with Delivery Times and Limited Restarts[J]. Journal of the Operations Research Society of China, 2022 , 10(1) : 113 -131 . DOI: 10.1007/s40305-021-00356-7

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