Experts’ knowledge renewal and maintenance actions effectiveness in high-mix low-volume industries, using Bayesian approach

Author:

Ben Said Anis,Shahzad Muhammad KashifORCID,Zamai Eric,Hubac Stéphane,Tollenaere Michel

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Philosophy

Reference66 articles.

1. Abu-Samah A, Shahzad MK, Zamaï E, Hubac S (2014) Methodology for integrated failure-cause diagnosis with bayesian approach: application to semiconductor manufacturing equipment. In: Proceedings of second European conference of the prognostics and health management society, Nantes, France

2. Abu-Samah A, Shahzad MK, Zamaï E, Ben Said A (2015) Failure prognosis methodology for improved proactive maintenance using bayesian approach. In: 9th IFAC symposium on fault detection, supervision and safety for technical processes, Sept 2015, Paris, France

3. Baly R, Hajj H (2012) Wafer classification using support vector machines. IEEE Trans Semicond Manuf 25(3):373–383

4. Bertling L, Allan R, Eriksson R (2005) A reliability-centered asset maintenance method for assessing the impact of maintenance in power distribution systems. IEEE Trans Power Syst 20(1):75–82

5. Bouaziz MF, Zamaï E, Duvivier F (2013) Towards Bayesian network methodology for predicting the equipment health factor of complex semiconductor systems. Int J Prod Res 51(15):4597–4617

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