Iterative use of simulation and scheduling methodologies to improve productivity

Experienced and wise industrial engineering educators and practitioners have long understood that industrial engineering is a coherent discipline encompassing techniques that work best synergistically, not a motley collection of specialized techniques each isolated in a separate chimney. As an examp...

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Hauptverfasser:	Vasudevan, Karthik Krishna, Lote, Ravi, Williams, Edward J., Ulgen, Onur
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bars Context modeling Iterative methods Job shop scheduling Manufacturing processes Manufacturing systems Production Productivity Testing Virtual manufacturing
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creator	Vasudevan, Karthik Krishna Lote, Ravi Williams, Edward J. Ulgen, Onur
description	Experienced and wise industrial engineering educators and practitioners have long understood that industrial engineering is a coherent discipline encompassing techniques that work best synergistically, not a motley collection of specialized techniques each isolated in a separate chimney. As an example of the synergies which industrial engineering can bring to process improvement in a production environment, this case study presents the integrated use of process simulation, production scheduling, and detailed analysis of material-handling methods and their improvement. The study undertook the identification and improvement of production and scheduling policies to the benefit of a manufacturing process whose original throughput capacity fell significantly short of high and increasing demand.
doi_str_mv	10.1109/WSC.2008.4736281
format	Conference Proceeding
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Bars Context modeling Iterative methods Job shop scheduling Manufacturing processes Manufacturing systems Production Productivity Testing Virtual manufacturing
title	Iterative use of simulation and scheduling methodologies to improve productivity
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