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Intelligent manufacturing systems: A review
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2018 (English)In: International Journal of Mechanical Engineering and Robotics Research, ISSN 2278-0149, Vol. 7, no 3, p. 324-330Article, review/survey (Refereed) Published
Abstract [en]

Manufacturing factories, having continuous pursuit of productivity and quality, often meet challenges in coping with high production complexities and uncertainties. These are the areas in which traditional manufacturing paradigms underperform due to the limitation of human operators' ability to cope with these complexities, uncertainties, understanding/memorizing big data, and also their inability to make time demanding decisions. Intelligent manufacturing systems, on the other hand, can yield superior results compared to traditional manufacturing systems as they are capable of analyzing, self-learning, apprehending complexities and are also able to store and analyze large amounts of data to obtain increased quality of the product and lower production cost while shortening the time-to-market. The aim of this paper is to outline the recent accomplishments and developments in intelligent scheduling, process optimization, control, and maintenance. For each aspect, concepts, requirements, application implemented, and methodologies deployed are also presented.

Place, publisher, year, edition, pages
International Journal of Mechanical Engineering and Robotics Research , 2018. Vol. 7, no 3, p. 324-330
Keywords [en]
component, Intelligent control, Intelligent maintenance, Intelligent manufacturing systems, Intelligent prediction and optimization, Intelligent scheduling
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-227574DOI: 10.18178/ijmerr.7.3.324-330Scopus ID: 2-s2.0-85045215716OAI: oai:DiVA.org:kth-227574DiVA, id: diva2:1206130
Note

Export Date: 9 May 2018; Review

Available from: 2018-05-16 Created: 2018-05-16 Last updated: 2018-05-16Bibliographically approved

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Wang, Lihui

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School of Industrial Engineering and Management (ITM)
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