Single machine scheduling under potential disruption

  • Authors:
  • Chung-Yee Lee;Gang Yu

  • Affiliations:
  • Department of Industrial Engineering and Logistics Management, The Hong Kong University of Science and Technology, Hong Kong;Dell Inc., One Dell Way, Round Rock, TX 78682, USA

  • Venue:
  • Operations Research Letters
  • Year:
  • 2007

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Abstract

We provide optimal algorithms to solve a new scheduling problem in which there is a possibility that a disruption will happen at a particular time and last for a period of time with a certain probability. The objective functions are the expected total weighted completion times and the expected maximum tardiness, respectively.