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Hattinger, M. & Stylidis, K. (2023). Transforming Quality 4.0 towards Resilient Operator 5.0 needs. Paper presented at 56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa. Procedia CIRP, 120, 1600-1605
Öppna denna publikation i ny flik eller fönster >>Transforming Quality 4.0 towards Resilient Operator 5.0 needs
2023 (Engelska)Ingår i: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 120, s. 1600-1605Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Quality is one of the most important contributors to products’ success in the market and essential input for design and manufacturing. Historically, quality definitions evolved over time but with significant domain-specific differences. One example of these emerging differences is the human-centric, subjective approach to quality. Current Quality 4.0 models, in most cases, are derivatives from the Total Quality Management (TQM) way, solely based on hopes for Data-Driven approaches to solving problems, with the lack of a human-centric operator approach. Industry 4.0 and its associated digital technologies promise to change this notion and make formerly subjective quality dimensions measurable on a scale as input for design and manufacturing. This leads to an opportunity to bridge the current gap and streamline the Quality and Operator in a holistic, data-informed, and digital technology-enabled way. This paper introduces a Quality 4.0 transformation as a vision for the future of Human – Machine symbiosis in the context of Operator 5.0 for intelligent manufacturing systems. We discuss what needs to be added to Quality 4.0 to achieve the requirements set for Operator 5.0 This work suggests how to enrich smart manufacturing systems from a human-centric perspective with Operator 5.0 making own, informed decisions based on data, experience, and tacit knowledge.

Nyckelord
Operator 5.0Quality 4.0Industry 5.0Smart, Manufacturing Systems, Human-Machine Systems, Data-Informed Design
Nationell ämneskategori
Bearbetnings-, yt- och fogningsteknik
Forskningsämne
Produktionsteknik
Identifikatorer
urn:nbn:se:hv:diva-21245 (URN)10.1016/j.procir.2023.12.002 (DOI)2-s2.0-85184579438 (Scopus ID)
Konferens
56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa
Anmärkning

CC BY 4.0

Tillgänglig från: 2024-02-13 Skapad: 2024-02-13 Senast uppdaterad: 2024-04-12
Mattsson, S. & Hattinger, M. (2022). Designing digital support for operator and maintenance personnel cognition and future skills in manufacturing industry. In: Luis Gómez Chova, University of Valencia, Spain; Agustín López Martínez, University of Barcelona, Spain, Ignacio Candel Torres, Capgemini, Spain (Ed.), INTED 2022 Proceedings: 16th International Technology, Education and Development Conference Online Conference. 7-8 March, 2022.. Paper presented at INTED 2022. 16th International Technology, Education and Development, 7-8 March, 2022 (pp. 9665-9673).
Öppna denna publikation i ny flik eller fönster >>Designing digital support for operator and maintenance personnel cognition and future skills in manufacturing industry
2022 (Engelska)Ingår i: INTED 2022 Proceedings: 16th International Technology, Education and Development Conference Online Conference. 7-8 March, 2022. / [ed] Luis Gómez Chova, University of Valencia, Spain; Agustín López Martínez, University of Barcelona, Spain, Ignacio Candel Torres, Capgemini, Spain, 2022, s. 9665-9673Konferensbidrag, Publicerat paper (Övrigt vetenskapligt)
Abstract [en]

Industry 4.0 is believed to introduce new smart digital tools which transform manufacturing processes but affect production personnel’s work practice. Operators and maintenance personnel running the everyday operations need to learn and handle new routines and systems while maintaining production efficiency. Operators today are challenged when they must handle unexpected stops caused by machine failures and the following error recovery process of automated production systems. With complex digital tools and integrated production systems the error recovery process becomes complex because there is no one-size-fits-all solution and a lack of intelligent and automated restart systems. Even if there are defined routines for industrial work and structures for managing digital technologies, it is not adapted to the individuals’ cognitive processes neither to their workplace learning. Altogether it puts high pressure on operators’ knowledge and skills of restarting machines and systems caused by errors. The aim is to explore operators and maintenance personnel cognition and skills and how their roles vary in relevant aspects of situational awareness and workplace learning. In an on-going case we studied two industrial companies that produce similar components but are working differently with production and maintenance. Through nine interviews we investigate the differences between the companies, their current work practices, and future changes. With application of a situation awarenessmodel, we capture cognition and learning including task/system factors, perception and decision making, and individual factors. Perspectives of workplace learning and knowledge sharing between personnel and relations to the systems use are applied. Results indicate that rule-based behaviours are key for both operators and maintenance personnel. These behaviours are supported by the systems and routines, but complicated errors make the systems and routines prove inadequate. In conclusion, to design appropriate digital support tools both operators and maintenance personnel behaviour need to be supported, however they need to be supported differently since their function behaviours such as routines, system use and communication vary. In addition, future skills and competences needed forsupporting complex system tasks include knowledge of computational models and simulation, knowledge of the machines and how they interrelate with systems, and logic reasoning and robotic programming of automated production systems.

Nyckelord
Digital technology, maintenance, production, cognition, skills
Nationell ämneskategori
Produktionsteknik, arbetsvetenskap och ergonomi Övrig annan samhällsvetenskap Företagsekonomi
Forskningsämne
Arbetsintegrerat lärande; Produktionsteknik
Identifikatorer
urn:nbn:se:hv:diva-18582 (URN)10.21125/inted.2022.2537 (DOI)978-84-09-37758-9 (ISBN)
Konferens
INTED 2022. 16th International Technology, Education and Development, 7-8 March, 2022
Tillgänglig från: 2022-06-21 Skapad: 2022-06-21 Senast uppdaterad: 2023-12-18Bibliografiskt granskad
Hattinger, M., de Blanche, A., Olsson, A. K., Carlsson, L., Lundh Snis, U., Eriksson, K. M. & Belenki, S. (2022). Reviewing human-centric themes in intelligent manufacturing research. In: International Conference on Work Integrated Learning: Abstract Book. Paper presented at WIL'22 International Conference on Work Integrated Learning, 7-9 December 2022, University West, Trollhättan, Sweden (pp. 125-127). Trollhättan: University West
Öppna denna publikation i ny flik eller fönster >>Reviewing human-centric themes in intelligent manufacturing research
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2022 (Engelska)Ingår i: International Conference on Work Integrated Learning: Abstract Book, Trollhättan: University West , 2022, s. 125-127Konferensbidrag, Muntlig presentation med publicerat abstract (Övrigt vetenskapligt)
Abstract [en]

In the era of Industry 4.0, emergent digital technologies generate profound transformations in the industry toward developing intelligent manufacturing. The technologies included in Industry 4.0 are expected to bring new perspectives to the industry on how manufacturing can integrate new solutions to get maximum output with minimum resource utilization (Kamble et al., 2018). Industry 4.0 technologies create a great impact on production systems and processes, however, affect organizational structures and working life conditions by disrupting employees’ everyday practices and knowledge, in which competence and learning, human interaction, and organizational structures are key. Hence, new digital solutions need to be integrated with work and learning to generate more holistic and sustainable businesses (Carlsson et al., 2021).

The core Industry 4.0 technologies are built on cyber-physical systems (CPS), cloud computing, and the Internet of things (IoT) (Kagermann et al., 2013; Zhou et al., 2018). In recent years, an array of additional technologies has been developed further, such as artificial intelligence (AI), big data analytics, augmented and virtual reality (AR/VR), cyber security, robotics, and automation. Industry 4.0 aims to create a potential for faster delivery times, more efficient and automated processes, higher quality, and customized products (Zheng et al., 2021). Hence, the ongoing transformation through the technological shift of production in combination with market demands pushes the industry and its production process.

Recent research has substantially contributed to an increased understanding of the technological aspects of Industry 4.0. However, the utilization of technologies is only a part of the complex puzzle making up Industry 4.0 (Kagermann et al., 2013; Zheng et al., 2021). The impact Industry 4.0 technologies and application s have on the industrial context also changes and disrupts existing and traditional work practices (Taylor et al., 2020), management and leadership (Saucedo-Martínez et al., 2018), learning and skills (Tvenge & Martinsen, 2018), and education (Das et al., 2020). This research has shown a growing interest in human-centric aspects of Industry 4.0 (Nahavandi, 2019), i.e., the transformative effects Industry 4.0 has on humans, workplace design, organizational routines, skills, learning, etc. However, these aspects are scarcely considered in-depth. Given this, and from a holistic point of view, there is a need to understand intelligent manufacturing practice from a human-centric perspective, where issues of work practices and learning are integrated, herein refe rred to as industrial work-integrated learning. I-WIL is a research area that particularly pays attention to knowledge production and learning capabilities related to use and development when technology and humans co -exist in industrial work settings (Shahlaei & Lundh Snis, 2022). Even if Industry 4.0 still is relevant for continuous development, a complementary Industry 5.0 has arisen to provide efficiency and productivity as the sole goals to reinforce a sustainable, human-centric, and resilient manufacturing industry (Breque et al., 2021; Nahavandi, 2019).

Given this situation, the research question addressed here is: How does state-of-the-art research of Industry 4.0 technologies and applications consider human-centric aspects? A systematic literature review was conducted aiming to identify a future research agenda that emphasizes human-centric aspects of intelligent manufacturing, that will contribute to the field of manufacturing research and practices. This question was based on very few systematic literature reviews, considering Industry 4.0 research incorporating human -centric aspects for developing intelligent manufacturing (Kamble et al., 2018; Zheng et al., 2021). The literature review study was structured by the design of Xiao and Watson’s (2019) methodology consisting of the steps 1) Initial corpus creation, 2) Finalizing corpus, and 3) Analyzing corpus, and we also used a bibliometric approach throughout the search process (Glänzel & Schoepflin, 1999). The keyword selection was categorized into three groups of search terms, “industry 4.0”, “manufacturing”, and “artificial intelligence”, see figure 1. (Not included here)

Articles were collected from the meta -databases EBSCOhost, Scopus, Eric, and the database AIS, to quantify the presence of human-centric or human-involved AI approaches in recent manufacturing research. A total of 999 scientific articles were collected and clustered based on a list of application areas to investigate if there is a difference between various areas in which artificial intelligence is used. The application areas are decision -making, digital twin, flexible automation, platformization, predictive maintenance, predictive quality, process optimization, production planning, and quality assessment.Throughout the review process, only articles that included both AI and human -centric aspects were screened and categorized. The final corpus included 386 articles of which only 93 articles were identified as human -centric. These articles were categorized into three themes: 1) organizational change, 2) competence and learning, and 3) human-automation interaction. Theme 1 articles related mostly to the application areas of flexible automation (11), production planning (9), and predictive maintenance (5). Theme 2 concerned the application areas of production planning and quality assessment (7), and process optimization (7).

Finally, theme 3 mainly focused on flexible automation (10), digital twin (3), and platformization (3). The rest of the corpus only consisted of one or two articles in related application areas. To conclude, only a few articles were found that reinforce human -centric themes for Industry 4.0 implementations. The literature review identified obstacles and opportu nities that affect manufacturing organizations to reap the benefits of Industry 4.0. Hence, I-WIL is proposed as a research area to inform a new research agenda that captures human and technological integration of Industry 4.0 and to further illuminate human-centric aspects and themes for future sustainable intelligent manufacturing. 

Ort, förlag, år, upplaga, sidor
Trollhättan: University West, 2022
Nyckelord
Industry 4.0, Industry 5.0, intelligent manufacturing, work-integrated learning, human-centric aspects, literature review
Nationell ämneskategori
Pedagogik Lärande
Forskningsämne
Arbetsintegrerat lärande; Produktionsteknik
Identifikatorer
urn:nbn:se:hv:diva-19572 (URN)9789189325302 (ISBN)
Konferens
WIL'22 International Conference on Work Integrated Learning, 7-9 December 2022, University West, Trollhättan, Sweden
Anmärkning

 The study was carried out within the AHIL-project, Artificial and Human Intelligence through Learning, funded by the Swedish Knowledge Foundation and University West

Tillgänglig från: 2023-01-11 Skapad: 2023-01-11 Senast uppdaterad: 2023-06-02Bibliografiskt granskad
Hattinger, M. (2022). Support för operatörer och underhållspersonal vid oplanerade produktionsstopp: kognition och lärande på arbetsplatsen i projektet ReStart. In: : . Paper presented at LINA WEEK 40, 3-7 OCTOBER, 2022, University West, Sweden. Trollhättan: Högskolan Väst
Öppna denna publikation i ny flik eller fönster >>Support för operatörer och underhållspersonal vid oplanerade produktionsstopp: kognition och lärande på arbetsplatsen i projektet ReStart
2022 (Svenska)Konferensbidrag, Enbart muntlig presentation (Övrigt vetenskapligt)
Ort, förlag, år, upplaga, sidor
Trollhättan: Högskolan Väst, 2022
Nyckelord
arbetsintegrat lärande
Nationell ämneskategori
Lärande
Forskningsämne
Produktionsteknik; Arbetsintegrerat lärande
Identifikatorer
urn:nbn:se:hv:diva-19931 (URN)
Konferens
LINA WEEK 40, 3-7 OCTOBER, 2022, University West, Sweden
Tillgänglig från: 2023-05-08 Skapad: 2023-05-08 Senast uppdaterad: 2024-02-15Bibliografiskt granskad
Hattinger, M. (2022). University-Industry Collaboration: From contradictions to transformations in work-integrated e-learning practices. In: International Conference on Work Integrated Learning: Abstract Book. Paper presented at WIL'22 International Conference on Work Integrated Learning, 7-9 December 2022, University West, Trollhättan, Sweden (pp. 130-131). Trollhättan: University West
Öppna denna publikation i ny flik eller fönster >>University-Industry Collaboration: From contradictions to transformations in work-integrated e-learning practices
2022 (Engelska)Ingår i: International Conference on Work Integrated Learning: Abstract Book, Trollhättan: University West , 2022, s. 130-131Konferensbidrag, Muntlig presentation med publicerat abstract (Övrigt vetenskapligt)
Abstract [en]

The manufacturing industry is constantly facing hard times employing key expertise to deploy a digital transformation of Industry 4.0 enabling technologies and applications (Lasi et al., 2014). Challenges of increased industrial digitalization pressure the industry to expand professionals’ future knowledge to be capable of new production systems, virtual manufacturing, and digital services. This requires new types of knowledge applicable to transformative work practices and for future adaptation (Ford, 2015). Becoming a competent expert for an entire working life tends to be harder for today’s professionals because of digital disruptions (Belski et al., 2016; Susskind & Susskind, 2015), and therefore they continuously need to seek new knowledge and learning as integrated part of work combined with new theoretical knowledge through academic studies in higher education. Competence development through university-industry collaboration (UIC), is a vehicle for asserting high-technological change and innovative capacities (Ankrah & Tabba, 2015; Sjöö & Hellström, 2019). Specifically, university tailormade courses that enhance the co-construction of knowledge and develop professionals’ learning and skills to augment the industrial business demands in the context of Industry 4.0 (Abelha et al., 2020). However, there seems to be a dual situation with the industry effectiveness pressure on the one hand, and the blended competence development opportunities offered by the university, on the other. This situation raises challenges with the different stakeholders’ perspectives of inter-organizational collaboration that presumes productive development. Colliding interests and conflicts on different systemic levels may occur, and inter-organizational collaborations may not per se cause benefits and learning, but rather needs to be analyzed through their inner contradictions a s power for change. Contradictions, however, are systemic, embedded in history, developing over time, and cannot be studied directly. Hence, in this study contradictions on various levels are explored, as a power for change (Engeström & Sannino, 2010;2011). Included contradictions are those manifested by the professionals in UIC and intra-organizational situations within the industry organizations. Also, contradictions concerning the professionals’ own motivation for learning related to the industry competence demands and the management’s lack of, or support for such learning initiatives. Hence, the analytical lens is the industry professionals’ knowledge construction that emerges in a work-integrated e-learning (e-WIL) practice of UIC to sustain resilient interorganizational collaboration through UIC (Hattinger & Eriksson, 2020). The study is conducted within a competence development program of short academic courses targeting industry professionals’ knowledge needs, to strengthen individual learning and co-construction of knowledge with the prospect of generating organizational transformations, i.e., the professionals’ knowledge generation in a trajectory growing from participants’ discursive manifestation of contradictions, actionable solutions towards tra nsformations. Such knowledge generation tends to be temporary, riddled with problems and conflicts, therefore, it is argued to identify systemic contradictions to be used as energizing forces and triggers for development and change (Engeström & Sannino, 20 10; 2011). With the perspectives of professionals’ motives, interactions, and experiences, the aim is to grasp inner tensions between different perspectives to reach the kernel of potential future expansive transformations, i.e., the professionals’ views concerning the industry objectives, the learning trajectory of engineering subjects, and the e -learning course design. 

Given this, the first research question asked is: What kinds of discursive manifestations of contradictions do industry professionals experience as inner learning motives of competence development for organizational purposes?To further the understanding of how professionals assert knowledge to generate actionable solutions, the second question asked is: How are these manifestations negotiated, and turned into actionable solutions and potentially expansive transformations? 

MethodThe questions investigate the professionals’ experiences of their course participation and knowledge construction on a micro-level using the cultural-historical activity theory, CHAT, (Engeström & Sannino, 2010). Engeström and Sannino (2011) have developed a methodological framework that analyzes contradictions through their discursive manifestations. Contradictions do not speak for themselves, rather they become recognized through people’s articulation of tensions and dilemmas. It is through their discursive manifestations during conversations and actions that they are made visible (Engeström & Sannino, 2011).Data from a longitudinal e-WIL project was collected for three years and consisted of twelve focus group sessions comprising a total of 119 professionals in 15 industry companies. The professionals participated in e -learning courses designed with pedagogy that stimulate work-integrated learning covering knowledge needs such as industrial automation and machine security in robotics, negotiation skills, and machining. A comprehensive analysis of the discursive manifestation of contradictions implies a transition into actionable (possible) solutions toward expansive transformations. The three steps analysis became a powerful approach for grasping learning insights between professionals and understanding the effects of e-learning design and co-construction of knowledge on a systemic level. 

Results and contributionDiscursive manifestations of contractions occurred on different levels, concerning the dual situation of the industry effectiveness pressure on the one hand, and the e-WIL course opportunity offered by the university, on the other. The most critical conflict was the lack of industry companies’ maturity to support professionals’ time and performance related to individual professional career paths that will trigger future expansive transformations. However, the professionals described actionable solutions to many of the defined dilemmas, concerning practical e-learning design problems, which were easy to overcome. With the concepts of manifestations of contradictions, actionable solutions, and expansive transformations, we have increased our understanding of knowledge and problem-solving processes emerging in UIC networks with many different stakeholders. The article contributes to a developed approach for analyzing discursive manifestations of contradictions toward expansive transformations in workplace practices. It also contributes to empirical findings of inter-organizational collaborations through an innovative work-integrated e-learning context. 

Ort, förlag, år, upplaga, sidor
Trollhättan: University West, 2022
Nyckelord
discursive manifestations of contradictions, actionable solutions, expansive transformations, professionals, manufacturing industry, Industry 4.0, e-learning design.
Nationell ämneskategori
Lärande Pedagogik
Forskningsämne
Arbetsintegrerat lärande; Produktionsteknik
Identifikatorer
urn:nbn:se:hv:diva-19574 (URN)9789189325302 (ISBN)
Konferens
WIL'22 International Conference on Work Integrated Learning, 7-9 December 2022, University West, Trollhättan, Sweden
Anmärkning

The general theme of the conference is: “WIL in the service of society”

Tillgänglig från: 2023-01-11 Skapad: 2023-01-11 Senast uppdaterad: 2023-03-15Bibliografiskt granskad
de Blanche, A., Carlsson, L., Olsson, A. K., Eriksson, K. M., Belenki, S., Lundh Snis, U. & Hattinger, M. (2021). Artificial and human aspects of Industry 4.0: an industrial work-integrated-learning research agenda. In: VILÄR: 9-10 of December, 2021, University West, Trollhättan. Paper presented at VILÄR,9-10 of December, 2021, University West, Trollhättan.
Öppna denna publikation i ny flik eller fönster >>Artificial and human aspects of Industry 4.0: an industrial work-integrated-learning research agenda
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2021 (Engelska)Ingår i: VILÄR: 9-10 of December, 2021, University West, Trollhättan, 2021Konferensbidrag, Muntlig presentation med publicerat abstract (Övrigt vetenskapligt)
Abstract [en]

The manufacturing industry is currently under extreme pressure to transform their organizations and competencies to reap the benefits of industry 4.0. The main driver for industry 4.0 is digitalization with disruptive technologies such as artificial intelligence, machine learning, internet of things, digital platforms, etc. Industrial applications and research studies have shown promising results, but they rarely involve a human-centric perspective. Given this, we argue there is a lack of knowledge on how disruptive technologies take part in human decision-making and learning practices, and to what extent disruptive technologies may support both employees and organizations to “learn”. In recent research the importance and need of including a human-centric perspective in industry 4.0 is raised including a human learning and decision-making approach. Hence, disruptive technologies, by themselves, no longer consider to solve the actual problems.

Considering the richness of this topic, we propose an industrial work-integrated-learning research agenda to illuminate a human-centric perspective in Industry 4.0. This work-in-progress literature review aims to provide a research agenda on what and how application areas are covered in earlier research. Furthermore, the review identifies obstacles and opportunities that may affect manufacturing to reap the benefits of Industry 4.0. As part of the research, several inter-disciplinary areas are identified, in which industrial work-integrated-learning should be considered to enhance the design, implementation, and use of Industry 4.0 technologies. In conclusion, this study proposes a research agenda aimed at furthering research on how industrial digitalization can approach human and artificial intelligence through industrial work-integrated-learning for a future digitalized manufacturing.

Nyckelord
industry 4.0, work-integrated-learning, digitalized manufacturing
Nationell ämneskategori
Arbetslivsstudier Lärande Teknik och teknologier
Forskningsämne
Arbetsintegrerat lärande
Identifikatorer
urn:nbn:se:hv:diva-18015 (URN)978-91-89325-03-6 (ISBN)
Konferens
VILÄR,9-10 of December, 2021, University West, Trollhättan
Anmärkning

 The study was carried out within the AHIL-project, Artificial and Human Intelligence through Learning, funded by the Swedish Knowledge Foundation and University West

Tillgänglig från: 2022-01-10 Skapad: 2022-01-10 Senast uppdaterad: 2023-06-02
Carlsson, L., Hattinger, M., Olsson, A. K. & Lundh Snis, U. (2021). Desperately seeking industrial digital strategy: a dynamic capability approach. International Journal of Information Systems and Change Management, 12(4), 345-364
Öppna denna publikation i ny flik eller fönster >>Desperately seeking industrial digital strategy: a dynamic capability approach
2021 (Engelska)Ingår i: International Journal of Information Systems and Change Management, ISSN 1479-3121, E-ISSN 1479-313X, Vol. 12, nr 4, s. 345-364Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This study focuses on managers’ perceptions of organisational capabilities for strategy formulation related to industrial digitalisation. A qualitative case study based on ten interviews in two manufacturing companies explores managers’ perceptions of industrial digitalisation. A dynamic capability framework, consisting of the organisational capabilities sensing, seizing, and transforming opportunities, is applied to recognise and analyse nuances in managers’ interpretation of prevailing organisational capabilities. Findings reveal that the studied companies have a limited maturity concerning knowledge, skills, and resources for industrial digitalisation which is needed in order to formulate a digital strategy. An additional core capability was discerned, i.e., ’seeking’. Seeking includes actions for articulating, appropriating, and involving in the very early phases of understanding and formulating a digital strategy. This article contributes to the existing dynamic capability framework by adding the core capability seeking illustrated in an elaborated and holistic ’dynamic capability loop’. The loop frames industrial digitalisation as a continuous process closely integrated with strategy formulation.  

Ort, förlag, år, upplaga, sidor
Inderscience Publishers, 2021
Nyckelord
Enterprise resource management; Managers; Case-studies; Digital strategies; Digitalization; Dynamic capability framework; Dynamics capability; Industrial digital strategy; Industrial digitalization; Manufacturing industries; Organizational capabilities; Strategy formulations; Industry 4.0
Nationell ämneskategori
Företagsekonomi
Forskningsämne
Arbetsintegrerat lärande; Produktionsteknik
Identifikatorer
urn:nbn:se:hv:diva-18512 (URN)10.1504/IJISCM.2021.122800 (DOI)2-s2.0-85130573155 (Scopus ID)
Anmärkning

The study was carried out within the AHIL-project, Artificial and Human Intelligence through Learning, funded by the Swedish Knowledge Foundation and University West

Tillgänglig från: 2022-11-28 Skapad: 2022-11-28 Senast uppdaterad: 2023-11-15Bibliografiskt granskad
Sülau, A., Elison, I., Karlsson, A.-C., Andersson, J. & Hattinger, M. (2021). Komplex matchning av kompetensutvecklingsbehov inom digitalisering och hållbar utveckling: En kartläggning av industriföretag i Västsverige. In: VILÄR: 9-10 of December,2021, University West, Trollhättan. Paper presented at VILÄR,9-10 of December,2021, University West, Trollhättan (pp. 13-14).
Öppna denna publikation i ny flik eller fönster >>Komplex matchning av kompetensutvecklingsbehov inom digitalisering och hållbar utveckling: En kartläggning av industriföretag i Västsverige
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2021 (Svenska)Ingår i: VILÄR: 9-10 of December,2021, University West, Trollhättan, 2021, s. 13-14Konferensbidrag, Muntlig presentation med publicerat abstract (Övrigt vetenskapligt)
Abstract [sv]

Med allt högre krav på ett hållbart samhälle ökar behoven av en snabb och innovativ produktion med högteknologiska lösningar och ökad kompetens för att möta framtidens digitala transformation. Industrin står därmed inför stora behov av kompetens och tillgång till akademisk spjutspetsutbildning i flexibla former. Kraven på en effektiv produktion efterfrågar nya kunskaper inom områdena, produktionsteknik, digital produktion (I4.0), elektrifiering men även hållbart ledarskap. Det gäller både tekniska djupkunskaper och hur organisationen kan tar tillvara interdisciplinära kunskaper för att möjliggöra tekniklösningar för en hållbar industri. Studier visar dock en diskrepans mellan företagens förmåga att definiera kompetensbehov och akademins svårigheter att möta rätt nivå och innehåll. I Västsvenska handelskammarens rapport framgår det generellt att utbildningssystemet inte är anpassat för yrkesverksamma i näringslivet. Matchningsproblematiken mellan industri-akademi är mångfacetterad och det finns skillnader avseende definition av ämnesinnehåll, flexibla kursformer, organisationskultur, etc. Forskning visar att arbetsplatser efterfrågar både procedurkunskap (veta hur) för rutinbaserade och repetitiva uppgifter och konceptuell kunskap (veta att), som bygger på djupförståelse.

Studiens syfte är att synliggöra industrins perspektiv på kompetensmatchning och den utgår ifrån en behovsinventering genomförd under 2021, i projektet ExSus, Hållbar och digitaliserad produktion, vid Högskolan Väst. 15 teknikchefer inom större SMF-företag intervjuades (konsult- och tillverkningsindustri) om kompetensbehov och utmaningar med digitalisering och hållbar produktion. Resultaten är mångfacetterade och visar behov av specifik och omedelbar kunskap, medan andra efterfrågar generellt lärande om Industri 4.0 (maskinlärande, sakernas internet, sensorteknik mm). Vidare finns det behov av AI (Artificiell Intelligens), fast man upplever problem med applicering. Allt fler efterfrågar kunskap utifrån ett organisations- och ledningsperspektiv, för generell förståelse, samt användning och nytta med teknologiutvecklingen, exempelvis överbryggningsutbildningar inom AI, maskinlärande och hållbar produktion i praktiken. Några efterlyser tydligare kommunikation och större samordning mellan utbildningsaktörer. Högskolan Västs nya projekt ExSus och tidigare kompetensutvecklingsprojekt, t ex ProdEx visar dock lyckade satsningar. Sammantaget finns det fortfarande ett glapp mellan akademins excellens och företagens behov av djupkunskap utifrån ett flexibelt och arbetsintegrerat lärande. Detta talar för kontinuerlig kompetensmatchning för att skapa synergier, tvärvetenskaplighet och ökad samproduktion mellan industri och akademi

Nyckelord
kompetensutvecklingsbehov, digitalisering, hållbar utveckling, industri, Västsverige, akademi
Nationell ämneskategori
Arbetslivsstudier Lärande Teknik och teknologier
Forskningsämne
Arbetsintegrerat lärande
Identifikatorer
urn:nbn:se:hv:diva-18017 (URN)978-84-09-34549-6 (ISBN)
Konferens
VILÄR,9-10 of December,2021, University West, Trollhättan
Tillgänglig från: 2022-01-10 Skapad: 2022-01-10 Senast uppdaterad: 2023-06-02
Hattinger, M., Lundh Snis, U. & Islind, A. S. (2021). Real-time Analytics through Industrial Internet of Things: Lessons Learned from Data-driven Industry. In: Digital Innovation and Entrepreneurship (Amcis 2021): . Paper presented at 27th Annual Americas Conference on Information Systems (AMCIS), ELECTR NETWORK, AUG 09-13, 2021. Association for Information Systems, Article ID 172685.
Öppna denna publikation i ny flik eller fönster >>Real-time Analytics through Industrial Internet of Things: Lessons Learned from Data-driven Industry
2021 (Engelska)Ingår i: Digital Innovation and Entrepreneurship (Amcis 2021), Association for Information Systems, 2021, artikel-id 172685Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Industrial Internet of Things (IIoT) and the increasing role of real-time analytics (RTA) data are currently transforming industry and shop floor work. Manufacturing industry needs to adapt accordingly and implement systems solutions for rich data analysis to achieve increased business value. However, a data-driven implementation of RTA applications, often launched as “Plug&Play” solutions, often lacks both insights into shop floor work and the alignment to user perspectives. This paper focuses both on the technical implementation and the deployment of RTA applications from a design-in-use perspective and therefore we argue for congruence between a data-driven and a user-driven approach. The main findings reveal how configuration and implementation of RTA applications interplay with users’ work operations that further extends current IIoT layered models by aligning architectural levels with user and business levels. The main contribution is presented as lessons learned to inform sustainable and innovative implementation for increased business value for data-driven industry.

Ort, förlag, år, upplaga, sidor
Association for Information Systems, 2021
Nyckelord
Industrial internet of things; IIoT; Layered-modular architecture; Real time analytics; Data-driven industry
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
Forskningsämne
Arbetsintegrerat lärande; Produktionsteknik
Identifikatorer
urn:nbn:se:hv:diva-17116 (URN)000672599802015 ()2-s2.0-85118641335 (Scopus ID)9781733632584 (ISBN)
Konferens
27th Annual Americas Conference on Information Systems (AMCIS), ELECTR NETWORK, AUG 09-13, 2021
Anmärkning

The study was carried out within the AHIL-project, Artificial and Human Intelligence through Learning, funded by the Swedish Knowledge Foundation and University West

Tillgänglig från: 2021-12-21 Skapad: 2021-12-21 Senast uppdaterad: 2023-06-02Bibliografiskt granskad
Lundh Snis, U., de Blanche, A., Eriksson, K. M., Hattinger, M., Olsson, A. K., Carlsson, L. & Belenki, S. (2020). Artificial and Human Intelligence through Learning: How Industry Applications Need Human-in-the-loop. In: Kristina Johansson (Ed.), VILÄR: 3–4 December 2020 University West,Trollhättan. Abstracts. Paper presented at VILÄR. 3–4 December 2020 University West,Trollhättan (pp. 24-26). Trollhättan: Högskolan Väst
Öppna denna publikation i ny flik eller fönster >>Artificial and Human Intelligence through Learning: How Industry Applications Need Human-in-the-loop
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2020 (Engelska)Ingår i: VILÄR: 3–4 December 2020 University West,Trollhättan. Abstracts / [ed] Kristina Johansson, Trollhättan: Högskolan Väst , 2020, s. 24-26Konferensbidrag, Muntlig presentation med publicerat abstract (Övrigt vetenskapligt)
Abstract [en]

This study addresses work-integrated learning from a workplace learning perspective.Two companies within the manufacturing industry (turbo machinery and aerospace) together with a multi-disciplinary research group explore the opportunities and challenges related to applications of artificial intelligence and human intelligence and how such applications can integrate and support learning at the workplace.The manufacturing industry is currently under extreme pressure to transform their organizations and competencies to reap the benefits of industry 4.0. The main driverf or industry 4.0 is digitalization with disruptive technologies such as artificial intelligence, internet of things, machine learning, cyber-physical systems, digital platforms, etc. Many significant studies have highlighted the importance of human competence and learning in connection to industry 4.0 in general and disruptive technologies and its transformative consequences in particular. What impact have such technologies on employees and their workplace?

There is a lack of knowledge on how artificial intelligent systems actually take part in practices of human decision making and learning and to what extent disruptive technology may support both employees and organizations to “learn”. The design  and use of three real-world cases of artificial intelligence applications (as instances of industry 4.0 initiatives) will form the basis of how to support human decision making and scale up for strategic action and learning. Following a work-integratedapproach the overall research question has been formulated together with the two industry partners: How can artificial and human intelligence and learning, interact tobring manufacturing companies into Industry 4.0? An action-oriented research approach with in-depth qualitative and quantitative methods will be used in order to make sense and learn about new applications and data set related to a digitalized production.The contribution of this study will be three lessons learned along with a generic model for learning and organizing in the context of industry 4.0 initiatives. Tentative findings concern how artificial and human intelligence can be smartly integrated into the human work organization, i.e. the workplace. Many iterations of integrating the two intelligences are required. We will discuss a preliminary process-model called “Super8”, in which AI systems must allow for providing feedback on progress as well as being able to incorporate high-level human input in the learning process. The   practical implication of the study will be industrialized in the collaborating 

Ort, förlag, år, upplaga, sidor
Trollhättan: Högskolan Väst, 2020
Nyckelord
Artificial Intelligence, Human Intelligence, learning
Nationell ämneskategori
Lärande
Forskningsämne
Arbetsintegrerat lärande
Identifikatorer
urn:nbn:se:hv:diva-16142 (URN)978-91-88847-86-7 (ISBN)
Konferens
VILÄR. 3–4 December 2020 University West,Trollhättan
Anmärkning

The study was carried out within the AHIL-project, Artificial and Human Intelligence through Learning, funded by the Swedish Knowledge Foundation and University West

Tillgänglig från: 2020-12-18 Skapad: 2020-12-18 Senast uppdaterad: 2023-06-02Bibliografiskt granskad
Organisationer
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0003-0086-9067

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