Single Machine Models (Stochastic)

Michael L. Pinedo ()
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Michael L. Pinedo: New York University

Chapter Chapter 10 in Scheduling, 2012, pp 267-293 from Springer

Abstract: Abstract Stochastic models, especially with exponential processing times, may often contain more structure than their deterministic counterparts and may lead to results which, at first sight, seem surprising. Models that are NP hard in a deterministic setting often allow a simple priority policy to be optimal in a stochastic setting

Keywords: Dynamic Policy; Remain Processing Time; Deterministic Counterpart; Gittins Index; Processing Time Distribution (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/978-1-4614-2361-4_10

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