Operations Research Transactions ›› 2019, Vol. 23 ›› Issue (4): 105-110.doi: 10.15960/j.cnki.issn.1007-6093.2019.04.009

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On-line bounded-batching scheduling of unit-length jobs with two families

LI Wenhua*, ZHAI Weina, CHAI Xing, GAO Chao   

  1. School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China
  • Received:2018-11-26 Published:2019-12-04

Abstract: We consider on-line scheduling on a parallel batching machine with two incompatible families of unit-length jobs, where the batch capacity is bounded. In this paper, online means that jobs arrive over time. The objective is to mininize the makespan. In bounded parallel batch scheduling, a finite capacity machine can process b jobs simultaneously as a batch, and the processing time of a batch is equal to 1. Incompatible job families mean that jobs which belong to different families cannot be assigned to the same batch. For this problem, we provide a best possible online algorithm of competitive ratio √17+3/4.

Key words: on-line scheduling, bounded batching, incompatible family, competitive ratio

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