Digital Tools and Information Needs Assessment for Efficient Deviation Handling in SMEsShow others and affiliations
2020 (English)In: Advances in Transdisciplinary Engineering at SPS2020, IOS Press BV , 2020, p. 24-35Conference paper, Published paper (Refereed)
Abstract [en]
In a time of change focusing on the application of technology, there is a high risk of underestimating the compliance of internal needs and adaption to context. The research study employs a qualitative approach using the case study methodology. The source of data comes from five different manufacturing companies categorized as Small to Medium Size Enterprises (SMEs). A multidisciplinary team performed semi-structured interviews and fieldwork at each site, along with regular online meetings with the partners. The study employs five dimensions of the information quality perspective to assess information utilized to support deviation handling and connects the information quality deficiencies to the digital tools' impact. The empirical findings indicate the need for the companies to perform a requirement analysis of information needs before the adoption of digital systems or digital tools, to assess their current state in terms of data and information. The paper discusses the impact digital tools may have on deviation management in SMEs and under which circumstances digital tools could improve deviation management. Lastly, this paper intends to shed light on the utilization of digital technologies for disturbance handling on the production shop floor. © 2020 The authors
Place, publisher, year, edition, pages
IOS Press BV , 2020. p. 24-35
Keywords [en]
Deviation management, Digital transformation, Information need, Production disturbances, SME, Information analysis, Case study methodologies, Data and information, Digital technologies, Manufacturing companies, Medium size enterprise, Multi-disciplinary teams, Qualitative approach, Semi structured interviews, Digital devices
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-51957DOI: 10.3233/ATDE200140Scopus ID: 2-s2.0-85098625532ISBN: 9781614994398 (print)OAI: oai:DiVA.org:ri-51957DiVA, id: diva2:1521358
Conference
9th Swedish Production Symposium, SPS 2020, 7 October 2020 through 8 October 2020
Note
Funding text 1: This work has been carried out within the project ASPIRE “Automation solutions for production deviation management”, funded by Sweden's Government Agency for Innovation VINNOVA (Programme Produktion2030). We gratefully acknowledge the funding, as well as good collaboration and support from the participating companies.
2021-01-222021-01-222023-06-05Bibliographically approved