Stochastic Models: Preliminaries

Michael L. Pinedo
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Michael L. Pinedo: NYU Stern School of Business, IOMS Dept Rm 8-59 KMC

Chapter Chapter 9 in Scheduling, 2016, pp 245-263 from Springer

Abstract: Abstract Production environments in the real world are subject to many sources of uncertainty or randomness. Sources of uncertainty that may have a major impact include machine breakdowns and unexpected releases of high priority jobs. Another source of uncertainty lies in the processing times, which are often not precisely known in advance. A good model for a scheduling problem should address these forms of uncertainty.

Keywords: Exponential Distribution; Completion Rate; Stochastic Dominance; Geometric Distribution; Stochastic Schedule (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-26580-3_9

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