Simulation usage in SMEs

Author:

O'Kane James,Papadoukakis Antonios,Hunter David

Abstract

PurposeThe purpose of this paper is to accurately model the existing manufacturing processes of a family‐owned small to medium‐sized enterprise (SME). The study was undertaken to provide the SME with information, so that potential improvements within the production facilities could be identified thereby leading to insights into potential savings, and waste elimination. Ultimately the research attempts to demonstrate that small businesses can benefit from adopting simulation as a decision‐making tool as part of their change management initiatives.Design/methodology/approachThe research methodology is a case‐based simulation study of the production facilities of a SME. A base model and successive experimental models were developed to test various production scenarios.FindingsThe experiments demonstrated how simulation could contribute and assist in the implementation of TQM and change management philosophies within a SME environment. The initial models identified problems in the real system and the latter models showed how further improvements can be achieved, defects reduced and lead to the enhancement of the productivity. Therefore, in this way simulation assisted in the implementation of some of the fundamental principles of TQM philosophy.Originality/valueThe study is limited in that it is based on one case study and therefore, a further study that would include several case studies with cross section analysis is recommended. Furthermore, research that uses cases from both the manufacturing and the service sector is recommended in order to fully document the unique and valuable role of simulation in the execution of TQM and BPR management philosophies in the SME context.

Publisher

Emerald

Subject

Strategy and Management,Business, Management and Accounting (miscellaneous)

Reference48 articles.

1. Adams, M., Componation, P., Czrnecki, H. and Schroer, B.J. (1999), “Simulation as a tool for continuous improvement”, Proceedings of the 1999 Winter Simulation Conference, Phoenix, AZ, December 8‐11, pp. 766‐73.

2. Aghaie, A. and Popplewell, K. (1997), “Simulation for TQM – the unused tool?”, The TQM Magazine, Vol. 9 No. 2, pp. 111‐6.

3. Al‐Aomar, R. (2000), “Product‐mix analysis with discrete event simulation”, Proceedings of the 2000 Winter Simulation Conference, Orlando, FL, December 10‐13, pp. 10385‐92.

4. Alter, A. (1990), “The corporate make‐over”, CIO, Vol. 4 No. 3, pp. 32‐42.

5. Banks, J. and Gibson, R. (1998), “Simulation evolution”, IIE Solutions, November, pp. 26‐9.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3