Smart Sustainable Manufacturing Systems

Edited by
August 2019
158 pages
  • ISBN978-3-03921-201-9 (Paperback)
  • ISBN978-3-03921-202-6 (PDF)

This book is a reprint of the Special Issue Smart Sustainable Manufacturing Systems that was published in

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

With the advent of disruptive digital technologies, companies are facing unprecedented challenges and opportunities. Advanced manufacturing systems are of paramount importance in making key enabling technologies and new products more competitive, affordable, and accessible, as well as for fostering their economic and social impact. The manufacturing industry also serves as an innovator for sustainability since automation coupled with advanced manufacturing technologies have helped manufacturing practices transition into the circular economy. To that end, this Special Issue of the journal Applied Sciences, devoted to the broad field of Smart Sustainable Manufacturing Systems, explores recent research into the concepts, methods, tools, and applications for smart sustainable manufacturing, in order to advance and promote the development of modern and intelligent manufacturing systems. In light of the above, this Special Issue is a collection of the latest research on relevant topics and addresses the current challenging issues associated with the introduction of smart sustainable manufacturing systems. Various topics have been addressed in this Special Issue, which focuses on the design of sustainable production systems and factories; industrial big data analytics and cyberphysical systems; intelligent maintenance approaches and technologies for increased operating life of production systems; zero-defect manufacturing strategies, tools and methods towards online production management; and connected smart factories.

  • Paperback
License and Copyright
© 2019 by the authors; CC BY-NC-ND license
operations management; production planning; quality; deteriorating systems; maintenance; kernel density estimation; particle defect management; particle map; semiconductor manufacturing process; big data; case study; circular economy; data collection and analytics; development; efficiency; improvement; multi-usable cloud service platform; pace; manufacturing process innovation; computer-aided innovation; open innovation; collective intelligence; knowledge management; knowledge-based engineering; sustainability evaluation; analytic hierarchy process; Dempster–Shafer evidence theory; Transport Sustainability Index; car-sharing; sensitivity analysis; connected smart factories; additive manufacturing; dynamic supply chain design; flexibility; customized demand; TPM; implementation; managerial commitment; productivity benefits; remanufacturing; sustainable manufacturing; Industry 4.0; smart factory; intelligent machining; hybrid laminate; piezoceramic compound; sensor function; sheet metal forming; impact detection; n/a