This chapter proposes an integrated approach for supporting firms in the phase of detailed dimensioning of Advanced Manufacturing Systems. The problem is closely related to the performance evaluation of the system since discriminating indicators are necessary to rank different alternatives. Approximate stochastic models are proposed to estimate the performance of Advanced Manufacturing Systems. The accuracy of the proposed models is shown by applying them to several test and real cases. © 2005 Springer.

Configuration of AMSs: Stochastic models for performance evaluation of automated manufacturing systems

MATTA, ANDREA;SEMERARO, QUIRICO;TOLIO, TULLIO ANTONIO MARIA
2005

Abstract

This chapter proposes an integrated approach for supporting firms in the phase of detailed dimensioning of Advanced Manufacturing Systems. The problem is closely related to the performance evaluation of the system since discriminating indicators are necessary to rank different alternatives. Approximate stochastic models are proposed to estimate the performance of Advanced Manufacturing Systems. The accuracy of the proposed models is shown by applying them to several test and real cases. © 2005 Springer.
Design advanced manufacturing systems - Models for capacity planning in advanced manufacturing systems
9781402029301
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/246195
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