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Diagnostics of Oppo...
Diagnostics of Opportunities – A Dialogue Tool for Addressing Digital Factory Maturity
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- Ericson Öberg, Anna (author)
- Karlstads universitet,Institutionen för ingenjörsvetenskap och fysik (from 2013),Volvo Construction Equipment, Sweden,Volvo Construction Equipment; Karlstad University
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- Machado, Carla G. (author)
- Jönköping University,IHH, Företagsekonomi,IHH, Media, Management and Transformation Centre (MMTC),IHH, Centre for Family Entrepreneurship and Ownership (CeFEO),Media, Management and Transformation Centre, Jönköping International Business School, Jönköping University, Sweden
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- Stålberg, Lina (author)
- Mälardalens universitet,Innovation och produktrealisering,Volvo Construction Equipment, Sweden; Mälardalen University, Sweden
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(creator_code:org_t)
- Amsterdam : IOS Press, 2024
- 2024
- English.
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In: Sustainable Production through Advanced Manufacturing, Intelligent Automation andWork Integrated Learning. - Amsterdam : IOS Press. - 9781643685106 - 9781643685113 ; , s. 395-406
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Abstract
Subject headings
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- For over 15 years, the concept of Industry 4.0, now transitioning into Industry 5.0, has been a focal point for the manufacturing sector. Yet, the success of companies in embracing digital transformation varies. There are numerous models and assessment tools for assessing digital readiness and maturity. Several models have been developed over the years, but firms also realize no "one-size-fits-all" exists when testing them. Previous studies show that firms must take charge of their own digital transformation (DT) journey to find a path that suits their specific needs.This qualitative paper is driven by a case study supported by a within-case analysis conducted with a heavy-machine industry with fourteen production plants worldwide – data collected from 2020 to 2023. Volvo Construction Equipment (Volvo CE), created Factory 4 Tomorrow (F4T) to address Industry 4.0. The central challenge for the F4T initiative was how to facilitate an inside-outside approach to identify an inclusive maturity model that emphasizes learning and collaboration. A diagnostic of opportunities model was created to aid the organisation’s transformation journey. It aimed to support all plants by evaluating their maturity in digital transformation, identifying gaps, and support in prioritising. Unlike traditional models that assess and compare plant levels, this model aimed to foster awareness and alignment, establishing a shared language. Thus, a unique model was explicitly crafted for the firm. The process of developing the model itself enhanced awareness and alignment. Therefore, this paper explores the development process - failures and successes - to compile a digital transformation maturity model tailor-made to a firm’s needs and goals. The objective is to offer comprehensive advice for firms to implement DT initiatives effectively in a way that suits them.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Annan maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Other Mechanical Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Övrig annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Other Engineering and Technologies not elsewhere specified (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Keyword
- Construction equipment
- Digital factories
- Digital transformation
- Digitalization
- Focal points
- Manufacturing sector
- Maturity
- Maturity model
- Modelling tools
- Numerous models
- Smart production
- Industry
- Materialteknik
- Materials Engineering
- Maskinteknik
- Mechanical Engineering
Publication and Content Type
- ref (subject category)
- kon (subject category)
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