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A review of the static stochastic flow-shop scheduling problem

 

作者: Michel Gourgand,   Nathalie Grangeon,   Sylvie Norre,  

 

期刊: Journal of Decision Systems  (Taylor Available online 2000)
卷期: Volume 9, issue 2  

页码: 1-31

 

ISSN:1246-0125

 

年代: 2000

 

DOI:10.1080/12460125.2000.9736710

 

出版商: Taylor & Francis Group

 

关键词: Flow-shop;Stochastic;Scheduling;Breakdowns;Random processing times;Flow-Shop;Stochastique;Ordonnancement;Pannes;Temps de traitement aléatoires

 

数据来源: Taylor

 

摘要:

We consider ammachine stochastic flow-shop and a set of n jobs, with known release dates, to be processed. In this paper, we distinguish two types of random events: processing times (job processing times are random variables which follow a probability distribution function) and breakdowns (time between failure and repair time are random variables). The main purpose of this paper is to review and to propose a classification for some developments about the static stochastic flow-shop scheduling problem. We propose also an extension of the notation of Graham, Lawler, Lenstra, and Rinnooy Kan in order to take into account random events.

 

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