Journal of the Operations Research Society of China ›› 2022, Vol. 10 ›› Issue (1): 113-131.doi: 10.1007/s40305-021-00356-7

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

Hai-Ling Liu1,2, Xi-Wen Lu1   

  1. 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:2020-09-04 Revised:2020-12-17 Online:2022-03-30 Published:2022-03-23
  • Contact: Xi-Wen Lu, Hai-Ling Liu E-mail:xwlu@ecust.edu.cn;companyion-34@163.com

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.

Key words: Online scheduling, Parallel batch, Limited restart, Delivery time

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