IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Worker Performance Modeling in Manufacturing Systems Simulation

Worker Performance Modeling in Manufacturing Systems Simulation
View Sample PDF
Author(s): P. Siebers (University of Nottingham, UK)
Copyright: 2007
Pages: 18
Source title: Handbook of Research on Nature-Inspired Computing for Economics and Management
Source Author(s)/Editor(s): Jean-Philippe Rennard (Grenoble Graduate School of Business, France)
DOI: 10.4018/978-1-59140-984-7.ch043

Purchase

View Worker Performance Modeling in Manufacturing Systems Simulation on the publisher's website for pricing and purchasing information.

Abstract

Discrete event simulation is generally recognized as a valuable aid to the strategic and tactical decision making that is required in the evaluation stage of the manufacturing systems design and redesign processes. It is common practice to represent workers within these simulation models as simple resources, often using deterministic performance values derived from time studies. This form of representing the factory worker ignores the potentially large effect that human performance variation can have on system performance, and it particularly affects the predictive capability of simulation models with a high proportion of manual tasks. The intentions of the chapter are twofold: firstly, to raise awareness of the importance of considering human performance variation in such simulation models; and secondly, to present some conceptual ideas for developing a worker agent for representing worker performance in manufacturing systems simulation models.

Related Content

P. Chitra, A. Saleem Raja, V. Sivakumar. © 2024. 24 pages.
K. Ezhilarasan, K. Somasundaram, T. Kalaiselvi, Praveenkumar Somasundaram, S. Karthigai Selvi, A. Jeevarekha. © 2024. 36 pages.
Kande Archana, V. Kamakshi Prasad, M. Ashok. © 2024. 17 pages.
Ritesh Kumar Jain, Kamal Kant Hiran. © 2024. 23 pages.
U. Vignesh, R. Elakya. © 2024. 13 pages.
S. Karthigai Selvi, R. Siva Shankar, K. Ezhilarasan. © 2024. 16 pages.
Vemasani Varshini, Maheswari Raja, Sharath Kumar Jagannathan. © 2024. 20 pages.
Body Bottom