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A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanxi, 710072, PR China.
Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanxi, 710072, PR China / Research & Development Institute in Shenzhen, Northwestern Polytechnical University, PR China.
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Department of Production, University of Vaasa, 65200, Vaasa, Finland.ORCID iD: 0000-0001-8006-3236
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5991-5542
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2019 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 210, p. 1343-1365Article, review/survey (Refereed) Published
Abstract [en]

Smart manufacturing has received increased attention from academia and industry in recent years, as it provides competitive advantage for manufacturing companies making industry more efficient and sustainable. As one of the most important technologies for smart manufacturing, big data analytics can uncover hidden knowledge and other useful information like relations between lifecycle decisions and process parameters helping industrial leaders to make more-informed business decisions in complex management environments. However, according to the literature, big data analytics and smart manufacturing were individually researched in academia and industry. To provide theoretical foundations for the research community to further develop scientific insights in applying big data analytics to smart manufacturing, it is necessary to summarize the existing research progress and weakness. In this paper, through combining the key technologies of smart manufacturing and the idea of ubiquitous servitization in the whole lifecycle, the term of sustainable smart manufacturing was coined. A comprehensive overview of big data in smart manufacturing was conducted, and a conceptual framework was proposed from the perspective of product lifecycle. The proposed framework allows analyzing potential applications and key advantages, and the discussion of current challenges and future research directions provides valuable insights for academia and industry. (C) 2018 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 210, p. 1343-1365
Keywords [en]
Big data analytics; Smart manufacturing; Servitization; Sustainable production; Conceptual framework; Product lifecycle
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:liu:diva-154546DOI: 10.1016/j.jclepro.2018.11.025ISI: 000456762600121OAI: oai:DiVA.org:liu-154546DiVA, id: diva2:1290527
Note

Funding Agencies|National Natural Science Foundation of China [51675441]; Fundamental Research Funds for the Central Universities [3102017jc04001]; 111 Project [B13044]; Circularis (Circular Economy through Innovating Design) project - Vinnova - Swedens innovation agency [2016-03267]; Simon (New Application of Al for Services in Maintenance towards a Circular Economy) project - Vinnova - Swedens innovation agency [2017-01649]

Available from: 2019-02-20 Created: 2019-02-20 Last updated: 2019-03-04Bibliographically approved

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