Advances in Sustainable and Digitalized Factories: Manufacturing, Measuring Technologies and Systems

doi:10.3390/books978-3-0365-7658-9

Download Url(s)

https://mdpi.com/books/pdfview/book/7400

Contributor(s)

Calvo, Roque (editor)

Yagüe-Fabra, José A. (editor)

Tosello, Guido (editor)

Language

English

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Abstract

The book is the reprint of the Special Issue 'Advances in Sustainable and Digitalized Factories: Manufacturing, Measuring Technologies and Systems' published in the journal Applied Science (MDPI). It contains 17 articles, including 1 Editorial, 14 Research Papers, and 2 Reviews.

URI

https://directory.doabooks.org/handle/20.500.12854/101307

Keywords

Industry 4.0; continuous improvement; lean manufacturing; lean production systems; lean 4.0; systematic literature review; tiny RFID; metallic electromagnetic isolation; analog manometer; Ansys HFSS simulator; passive digitization; ontology; production simulation; multi-agent; digital twin; augmented reality; industry 4.0; quality 4.0; metrology; assembly; turbine blades; re-manufacturing; uncertainty; robust scheduling; case-based reasoning; failure mode; effect and criticality analysis; knowledge-based system; nearest neighbor; reliability-centered maintenance; virtual reality; cyber physical system; OPC UA; CAD; industrial IoT; prototyping; retrofitting solutions; embedded solutions; low-cost; value chain; additive manufacturing; subtractive manufacturing; cost comparison; plant simulation; technology comparison; hybrid dependability modelling; production scheduling; dynamic failure rate; discrete event simulation; time-driven simulation; machine learning; manufacturing; artificial intelligence; smart manufacturing; digitization; smart surface; friction force field; under-actuation; feeding; simulation; material flow handling; intralogistics; robotic bin-picking; simulation model; ADAMS; pick-point determination; MATLAB/Simulink; 2-F robotic gripper; performance analysis; plastic injection molding; design of experiments; process optimization; facility layout problem; evolutionary algorithms; numerical modeling; multi-objective optimization; n/a