Asynchronous Stochastic Learning Curve - Lu, Roberto
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Large scale production systems contain dynamically unequal distributing lead times and improvement rates. This has made it very problematic to statistically predict the ability of global partners to meet common deadlines simultaneously. This system behavior can be attributed to the effects of asynchronous stochastic learning curves (ASLC) among all partners. There is no known prior research that provides an analytical model of the synchronized performance among partners in a large scale production system (LSPS) with these ASLC effects. This book provides a theoretical definition and practical…mehr

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Produktbeschreibung
Large scale production systems contain dynamically unequal distributing lead times and improvement rates. This has made it very problematic to statistically predict the ability of global partners to meet common deadlines simultaneously. This system behavior can be attributed to the effects of asynchronous stochastic learning curves (ASLC) among all partners. There is no known prior research that provides an analytical model of the synchronized performance among partners in a large scale production system (LSPS) with these ASLC effects. This book provides a theoretical definition and practical model of the ASLC, and contributions in the following areas: ASLC impacts in large scale production system integration, discrete event simulation modeling methods in LSPS integration, and statistical presentation of ASLC in LSPS.
Autorenporträt
Dr. Lu is a Technical Fellow of The Boeing Company. He part-time teaches at the University of Washington as an Affiliate Assistant Professor. He has interests in discrete event simulation, process optimization, logistics, production systems, lean manufacturing, robots, and mass customization.