Observational data-driven modeling and optimization of manufacturing processes

•Proposed an integrated variable selection and process parameter design methodology.•Exploits observational data to model, control and improve process performance.•Overcomes costs associated with intrusive controlled designed experiments.•Proposed data-driven approach also identifies significant con...

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Bibliographische Detailangaben

Veröffentlicht in:	Expert systems with applications 2018-03, Vol.93, p.456-464
Hauptverfasser:	Sadati, Najibesadat, Chinnam, Ratna Babu, Nezhad, Milad Zafar
Format:	Artikel
Sprache:	eng
Schlagworte:	Data-driven modeling Decision making Design parameters Manufacturing Meta-heuristic optimization Observational data Optimization Parameter design Parameter identification Process parameters Response surface method Studies Tire industry Variable selection
Online-Zugang:	Volltext
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