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Towards intelligent and sustainable production systems with a zero-defect manufacturing approach in an Industry4.0 context
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems.ORCID iD: 0000-0002-2356-7830
Gestamp Hardtech AB.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-5564-2295
University of Sapienza.
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2019 (English)In: Procedia CIRP, vol 81 / [ed] Edited by Peter Butala, Edvard Govekar, Rok Vrabič, Elsevier, 2019, Vol. 81, p. 880-885Conference paper, Published paper (Refereed)
Abstract [en]

The paper addresses intelligent and sustainable production achieved through combination and integration of online predictive maintenance, monitoring of process parameters and continuous quality control of both input materials and output from the process. This enables production systems, within both manufacturing and process industries, to move towards zero-defect manufacturing. Such a zero-defect manufacturing approach allows for earlier identification of problems or issues, which will or already negatively affect the output. The paper outlines the first part of the second cycle of an action research effort at Gestamp HardTech AB in Sweden, whose objective is to keep its position as a world-leading provider of press-hardened vehicle parts. In order to fully implement the zero-defect manufacturing approach, 4-6 action research cycles are expected to be needed in order to iteratively refine the approach. During the first cycle, various methods and solutions for some of the individual issues/problems have been conceptualized, realized and initially tested. The selected design criteria for the action research efforts were: simplicity, low cost, robustness, high-quality output and future-proofing. The result from the research in the second cycle so far is an action plan for the technical change and a set of challenges/problems which need additional investigation.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 81, p. 880-885
Series
Procedia CIRP, vol 81, ISSN 2212-8271
Keywords [en]
continuous quality controlI, Industry4.0, intelligent, online predictive maintenance, production, sustainable, zero-defect manufacturing
National Category
Engineering and Technology Information Systems, Social aspects Control Engineering Applied Mechanics
Research subject
Information systems; Experimental Mechanics; Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-75114DOI: 10.1016/j.procir.2019.03.218OAI: oai:DiVA.org:ltu-75114DiVA, id: diva2:1332596
Conference
52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, June 12-14, 2019
Available from: 2019-06-28 Created: 2019-06-28 Last updated: 2019-07-08Bibliographically approved

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