This paper considers two-machine flow shop scheduling problems with machine availability constraints. When the processing of a job is interrupted by an unavailability period of a machine, we consider both the resumable scenario in which the processing can be resumed when the machine next becomes available, and the semi-resumable scenario in which some portion of the processing is repeated but the job is otherwise resumable. For the problem with several non-availability intervals on the first machine under the resumable scenario, we present a fast (3/2)-approximation algorithm. For the problem with one non-availability interval under the semi-resumable scenario, a polynomial-time approximation scheme is developed. (C) 2007 Elsevier Ltd. All rights reserved.
机构:
Hong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong KongHong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong Kong
Cheng, TCE
Wang, GQ
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机构:Hong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong Kong
机构:
Hong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong Kong, Peoples R China
Cheng, TEC
Wang, GQ
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机构:Hong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong Kong, Peoples R China
机构:
Hong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong KongHong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong Kong
Cheng, TCE
Wang, GQ
论文数: 0引用数: 0
h-index: 0
机构:Hong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong Kong
机构:
Hong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong Kong, Peoples R China
Cheng, TEC
Wang, GQ
论文数: 0引用数: 0
h-index: 0
机构:Hong Kong Polytech Univ, Off Vice President Res & Postgrad Studies, Kowloon, Hong Kong, Peoples R China