Abstract
The different manufacturing strategies can influence production to a significant extent and, through this, manufacturing process and product quality. A stochastic simulation-based approach has been developed and carried out for estimating product quality on strategic level. The methodology is based on the Taguchi method, and consists of a simulation of the manufacturing system with a view to identifying manufacturing strategies that are relatively insensitive to process fluctuations and are cost effective. The experimental analysis is carried out with the strategies as controllable factors, and process fluctuations as noise factors. The response variable of the experiment is the unit cost of the finished product. While the Taguchi method is usually applied to the tactical design of production systems, we have shown how it can be applied to the strategic design and analysis of manufacturing systems. This approach can help the Business Process Reengineering (BPR) as well.
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© 1997 Springer Science+Business Media Dordrecht
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Mezgár, I., Basnet, C., Foulds, L.R. (1997). Cost-Oriented Strategic Manufacturing and Quality Planning for BPR. In: Camarinha-Matos, L.M. (eds) Re-engineering for Sustainable Industrial Production. IFIP — The International Federation for Information Processing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35086-8_36
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DOI: https://doi.org/10.1007/978-0-387-35086-8_36
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-6385-0
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