Design and Implementation of Scheduling Systems: More Advanced Concepts

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

Chapter Chapter 18 in Scheduling, 2016, pp 485-508 from Springer

Abstract: Abstract This chapter focuses on a number of issues that have come up in recent years in the design, development, and implementation of scheduling systems. The first section discusses issues concerning uncertainty, robustness, and reactive decision-making. In practice, schedules often have to be changed because of random events. The more robust the original schedule is, the easier the rescheduling is. This section focuses on the generation of robust schedules as well as on the measurement of their robustness. The second section considers machine learning mechanisms. No system can consistently generate good solutions that are to the liking of the user. The decision-maker often has to tweak the schedule generated by the system in order to make it usable. A well-designed system can learn from past adjustments made by the user; the mechanism that enables the system to do this is called a learning mechanism. The third section focuses on the design of scheduling engines. An engine often contains an entire library of algorithms.

Keywords: Schedule Problem; Hide Unit; Priority Rule; Schedule System; Idle Period (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-26580-3_18

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DOI: 10.1007/978-3-319-26580-3_18

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