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Simulating production performance: cross case analysis and policy implications

James O'Kane (Head of the Technology and Operations Management Division, Newcastle Business School, University of Northumbria, Newcastle upon Tyne, UK)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 1 May 2004

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Abstract

A case‐based research approach is used to illustrate the power of modelling manufacturing performance measures and to help develop insights into the nature and problems evident when attempting to use simulation across different enterprise sectors. The research methodology used considered three specific companies, each with distinctive characteristics and attributes; a small to medium enterprise, a medium to large enterprise and a large enterprise. From a cross‐case analysis of the use of discreet‐event (DE) simulation when applied in these instances, the research attempts to develop policy implications that will provide a better understanding of how simulation studies should be approached across different manufacturing enterprises.

Keywords

Citation

O'Kane, J. (2004), "Simulating production performance: cross case analysis and policy implications", Industrial Management & Data Systems, Vol. 104 No. 4, pp. 309-321. https://doi.org/10.1108/02635570410530720

Publisher

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Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited

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