The design of manufacturing systems is a complex and expensive task for both SMEs and large organisations alike. Many problems relating to the design and operation of manufacturing systems are too complex to allow for mathematical treatment, and as a result there is increasing recognition of the applicability of simulation in the manufacturing environment. This has in turn resulted in a growth in simulation software products available in the marketplace, and manufacturers of such products are naturally keen to extol the virtues of what they sell. In a rapidly changing workplace, there is some suggestion that simulation tools may not have developed to deal with the new demands, and so it is timely to review what is on offer. This paper presents the results of a survey of European simulation specialists, both working in industry and in an academic environment, on the use of simulation software. The main purpose of this survey was to determine how satisfied users are with simulation software and to highlight the most positive and negative features. The findings offer an insight into current software, and how this can be further enhanced.
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1 October 2000
This article was originally published in
Logistics Information Management
Research Article|
October 01 2000
Enhancing simulation software for use in manufacturing
L.P. Baldwin;
L.P. Baldwin
Lecturer, Department of Information Systems and Computing at Brunel University, Uxbridge, UK
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T. Eldabi;
T. Eldabi
Lecturer, Department of Information Systems and Computing at Brunel University, Uxbridge, UK
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V. Hlupic;
V. Hlupic
Senior Lecturer, Department of Information Systems and Computing at Brunel University, Uxbridge, UK
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Z. Irani
Z. Irani
Senior Lecturer, Department of Information Systems and Computing at Brunel University, Uxbridge, UK.
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Publisher: Emerald Publishing
Online ISSN: 1758-7948
Print ISSN: 0957-6053
© MCB UP Limited
2000
Logistics Information Management (2000) 13 (5): 263–270.
Citation
Baldwin L, Eldabi T, Hlupic V, Irani Z (2000), "Enhancing simulation software for use in manufacturing". Logistics Information Management, Vol. 13 No. 5 pp. 263–270, doi: https://doi.org/10.1108/09576050010354014
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