Reprint

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

Edited by
June 2023
398 pages
  • ISBN978-3-0365-7659-6 (Hardback)
  • ISBN978-3-0365-7658-9 (PDF)

This is a Reprint of the Special Issue Advances in Sustainable and Digitalized Factories: Manufacturing, Measuring Technologies and Systems that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

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.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
Industry 4.0; continuous improvement; lean manufacturing; 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; augmented reality; cyber physical system; OPC UA; CAD; industrial IoT; Industry 4.0; prototyping; retrofitting solutions; embedded solutions; low-cost; value chain; additive manufacturing; subtractive manufacturing; cost comparison; plant simulation; technology comparison; industry 4.0; industry 4.0; hybrid dependability modelling; production scheduling; dynamic failure rate; discrete event simulation; time-driven simulation; machine learning; Industry 4.0; 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; machine learning; digital twin; process optimization; facility layout problem; evolutionary algorithms; numerical modeling; multi-objective optimization; performance analysis; n/a