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Improving the design process for factories: Modeling human performance variation

โœ Scribed by Steve Mason; Tim Baines; John M. Kay; John Ladbrook


Publisher
Society of Manufacturing Engineers
Year
2005
Tongue
English
Weight
833 KB
Volume
24
Category
Article
ISSN
0278-6125

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โœฆ Synopsis


The process of manufacturing system design frequently includes modeling, and usually, this means applying a technique such as discrete event simulation (DES). However, the computer tools currently available to apply this technique enable only a superficial representation of the people that operate within the systems. This is a serious limitation because the performance of people remains central to the competitiveness of many manufacturing enterprises. Therefore, this paper explores the use of probability density functions to represent the variation of worker activity times within DES models.


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