Experiences with big data: Accounts from a data scientist’s perspectiveShow others and affiliations
2020 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 32, no 4, p. 529-542Article in journal (Refereed) Published
Abstract [en]
Manufacturing has been rejuvenated by automation and digitalization. This has brought forth the new industrial era also called Industry 4.0. During the last few years, we have collaborated with companies from various industries that have all been going through this transformation. Through these collaborations, we have collected numerous examples of (sometimes troublesome) experiences with Big Data applications of production analytics. These experiences reflect the current state of production data and the challenges it poses. Our goal in this paper is to share those experiences and lessons learned in dealing with practical issues from data acquisition to data management and finally to data analytics.
Place, publisher, year, edition, pages
Taylor & Francis, 2020. Vol. 32, no 4, p. 529-542
Keywords [en]
Industry 4.0, manufacturing, digitalization, big data, production analytics
National Category
Reliability and Maintenance
Research subject
Quality technology and logistics
Identifiers
URN: urn:nbn:se:ltu:diva-78025DOI: 10.1080/08982112.2019.1686641ISI: 000514782400001Scopus ID: 2-s2.0-85079702000OAI: oai:DiVA.org:ltu-78025DiVA, id: diva2:1413526
Note
Validerad;2020;Nivå 2;2020-09-28 (alebob)
2020-03-102020-03-102020-09-28Bibliographically approved