Estimating Clearing Functions for Production Resources Using Simulation Optimization

We implement a gradient-based simulation optimization approach, the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm, to estimate clearing functions (CFs) that describe the expected output of a production resource as a function of its expected workload from empirical data. Instead...

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Veröffentlicht in:	IEEE transactions on automation science and engineering Jg. 12; H. 2; S. 539 - 552
Hauptverfasser:	Kacar, Necip Baris, Uzsoy, Reha
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Automation Clearing function Data models linear programming Optimization Optimization algorithms Planning Production planning Production systems Simulation simulation optimization Stochastic models workload-dependent lead times
ISSN:	1545-5955, 1558-3783
Online-Zugang:	Volltext
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