Understanding supply chain dynamics: A chaos perspective von Hwarng, H. Brian, Xie, Na

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Examining the dynamics of reactive capacity allocation through a chaos lens von Yuan, Xuchuan, Brian Hwarng, H.

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Shift detection and source identification in multivariate autocorrelated processes von Brian Hwarng, H., Wang, Yu

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Interpreting supply chain dynamics: A quasi-chaos perspective von Hwarng, H. Brian, Yuan, Xuchuan

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Translating customers' voices into operations requirements - A QFD application in higher education von Brian Hwarng, H, Teo, Cynthia

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Stability and chaos in demand-based pricing under social interactions von Yuan, Xuchuan, Hwarng, H. Brian

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Simultaneous identification of mean shift and correlation change in AR(1) processes von Hwarng, H. Brian

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Managing a service system with social interactions: Stability and chaos von Yuan, Xuchuan, Hwarng, H. Brian

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Insights into neural-network forecasting of time series corresponding to ARMA( p, q) structures von Hwarng, H.Brian

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Detecting process mean shift in the presence of autocorrelation: a neural-network based monitoring scheme von Hwarng, H. Brian

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A simple neural network for ARMA( p, q) time series von Hwarng, H.Brian, Ang, H.T

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Back-propagation pattern recognizers for X control charts: Methodology and performance von Hwarng, H Brian, Hubele, Norma Faris

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A neural network approach to identifying cyclic behaviour on control charts: a comparative study von BRIAN HWARNG, H.

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Understanding supply chain dynamics : A chaos perspective von HWARNG, H. Brian, NA XIE

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X¯ CONTROL CHART PATTERN IDENTIFICATION THROUGH EFFICIENT OFF-LINE NEURAL NETWORK TRAINING von HWARNG, H. BRIAN, HUBELE, NORMA FARIS

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A Modern Simulation Course for Business Students von Hwarng, H. Brian

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Proper and effective training of a pattern recognizer for cyclic data von HWARNG, H. BRIAN

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Boltzmann machines that learn to recognize patterns on control charts von Hwarng, H. Brian, Hubele, Norma Faris

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A modern simulation course for business von Hwarng, H. Brian

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