Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10677290 | Journal of Manufacturing Systems | 2005 | 8 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Steve Mason, Tim Baines, John M. Kay, John Ladbrook,