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Variability as a kind of uncertainty in production is one of the largest factors that negatively impacts construction performance. A common construction practice to protect production systems from variability is the use of buffers (Bf), but these approaches face practical limitations in their application. In this book, a methodology for the design and management of WorkInProcess Bf in repetitive building projects is addressed, overcoming their practical limitations through its mathematical formulation and the use of lean production principles. Bf design uses SimulationOptimization modeling based on artificial intelligence concepts and a MultiobjectiveAnalyticModel approach based on Pareto Front concepts; while Bf management uses the RationalCommitmentModel, an operational decision support tool based on statistical analysis. This methodology provides a comprehensive approach to deal with variability using WIP Bf, which explicitly considers: a general production and modeling framework; and a sound theoretical framework to different production scenarios. Performance improvements resulting from the methodology application in real and hypothetical projects are shown.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.
