Title
Simulation in automotive industries: using empirical evidence of variations in worker performance to extend the capabilities of discrete event simulations in manufacturing
Abstract
Discrete Event Simulation of manufacturing systems has become widely accepted as an important tool to aid the design of such systems. Often, however, it is applied by practitioners in a manner which largely ignores an important element of industry; namely, the workforce. Workers are usually represented as simple resources, often with deterministic performance values. This approach ignores the potentially large effect that human performance variation can have on a system. A long-term data collection exercise is described with the aim of quantifying the performance variation of workers in a typical automotive assembly plant. The data are presented in a histogram form which is immediately usable in simulations to improve the accuracy of design assessment. The results show levels of skewness and range which are far larger than anticipated by current researchers and practitioners in the field.
Year
DOI
Venue
2003
10.5555/1030818.1030979
Winter Simulation Conference
Keywords
Field
DocType
discrete event simulation,histogram form,deterministic performance value,long-term data collection exercise,important element,current researcher,performance variation,automotive industry,design assessment,human performance variation,worker performance,important tool,empirical evidence,human performance,data collection
USable,Data collection,Histogram,Skewness,Empirical evidence,Simulation,Computer science,Workforce,Manufacturing engineering,Discrete event simulation,Automotive industry
Conference
ISBN
Citations 
PageRank 
0-7803-8132-7
1
0.41
References 
Authors
2
4
Name
Order
Citations
PageRank
Tim Baines1232.21
Linda Hadfield210.41
Steve Mason310.41
John Ladbrook49911.16