Using empirical evidence of variations in worker performance to extend the capabilities of discrete event simulations in manufacturing


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.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © 2003 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Event Title: 2003 winter simulation conference
Event Type: Other
Event Dates: 2003-12-07 - 2003-12-10
Uncontrolled Keywords: automotive assembly plant, discrete event simulation,manufacturing systems,productivity,personnel
Last Modified: 19 Feb 2024 08:43
Date Deposited: 20 Aug 2012 13:21
Full Text Link:
Related URLs: http://ieeexplo ... &isnumber=28189 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2003
Authors: Baines, T.S. (ORCID Profile 0000-0002-7518-2967)
Hadfield, L.
Mason, S.
Ladbrook, J.



Version: Accepted Version

Export / Share Citation


Additional statistics for this record