Parallel Machine Models (Stochastic)

Michael L. Pinedo ()
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Michael L. Pinedo: NYU Stern School of Business, Department of Technology, Operations, and Statistics

Chapter Chapter 12 in Scheduling, 2022, pp 325-355 from Springer

Abstract: Abstract This chapter deals with parallel machine models that are stochastic counterparts of models discussed in Chapter 5 . The body of knowledge in the stochastic case is somewhat less extensive than in the deterministic case.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-05921-6_12

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DOI: 10.1007/978-3-031-05921-6_12

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