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- Håkansson, Johan, et al.
(författare)
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A review of assembly line balancing and sequencing including line layouts
- 2008
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Ingår i: Proceedings of PLANs forsknings- och tillämpningskonferens.
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Konferensbidrag (refereegranskat)abstract
- This paper comprises a literature review focused on mixed-model assembly line balancing and sequencing problems, including different line layouts. The study was undertaken in collaboration with a company to assist in mapping current state of the art. Balancing problems affect businesses long-term strategic decisions and are complex problems with regard to installation and rebalancing of assembly lines. Sequencing concerns decisions of short-term problem. Sequencing approaches include: level scheduling, mixed-model sequencing and car sequencing. Level scheduling constructs a sequence of variants to create efficient deliveries supported by the just-in-time concept, whereas both car- and mixed-model sequencing aim to minimise violations of a work station’s capacity through constructing a sequence, which alternates variants with high and low work intensity. Five layouts were considered: single-, mixed-model-, multi-model-, two-sided- and u-shaped assembly lines. These layouts were evaluated on the basis of the manufactured product(s), size and space at the production plant, economic resources, number of required operators and machinery. Following a thorough investigation of the literature, a substantial gap between academic discussions and real world practical applications was identified. The aim of forthcoming work is therefore to put this theory into practice.
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| 3. |
- de Blanche, Andreas, 1975-, et al.
(författare)
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Artificial and human aspects of Industry 4.0: an industrial work-integrated-learning research agenda
- 2021
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Ingår i: VILÄR. - 9789189325036
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- 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.
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| 4. |
- Eriksson, Kristina M., 1976-, et al.
(författare)
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A Case Study Initiating Discrete Event Simulation as a Tool for Decision Making in I4.0 Manufacturing
- 2021
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Ingår i: Lecture Notes in Business Information Processing. - Cham : Springer Science+Business Media B.V.. - 1865-1348 .- 1865-1356. ; 414 LNBIP, s. 84-96
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Tidskriftsartikel (refereegranskat)abstract
- Smart manufacturing needs to handle increased uncertainty by becoming more responsive and more flexible to reconfigure. Advances in technology within industry 4.0 can provide acquisition of large amounts of data, to support decision making in manufacturing. Those possibilities have brought anew attention to the applicability of discrete event simulation for production flow modelling when moving towards design of logistics systems 4.0. This paper reports a study investigating challenges and opportunities for initiation of discrete event simulation, as a tool for decision making in the era of industry 4.0 manufacturing. The research has been approached through action research in combination with a real case study at a manufacturing company in the energy sector. The Covid-19 pandemic fated that adjusted and new ways of communication, collaboration, and data collection, in relation to the methods, had to be explored and tried. Throughout the study, production data, such as processing times, have been collected and analyzed for discrete event simulation modelling. The complexity of introducing discrete event simulation as a new tool for decision making is highlighted, where we emphasize the human knowledge and involvement yet necessary to understand and to draw conclusions from the data. The results also demonstrate that the data analysis has given valuable insights into production characteristics, that need addressing. Thus, revealing opportunities for how the initiative of introducing discrete event simulation as an anew tool in the wake of industry 4.0, can act as a catalyst for improved decision making in future manufacturing. © 2021, Springer Nature Switzerland AG.
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| 5. |
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| 6. |
- Eriksson, Kristina M., 1976-, et al.
(författare)
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A novel blended learning course developed jointly between three universities to address competence development of professionals in digitalized manufacturing
- 2019
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Ingår i: VILÄR 5-6 december 2019, University West, Trollhättan. - Trollhättan : University West. - 9789188847430 - 9789188847447 ; , s. 6-7
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- New competences and knowledge needs arises as manufacturing industry evolves and becomes increasingly digitalized. Facing this transformation, one of the challenges is the continuous and growing need for novel initiatives for competence development.The case portrayed here stems from a Swedish cross-university project aiming to jointly develop and offer courses for competence development of professionals in the manufacturing and IT sectors. The ambition is to increase the impact of the universities' respective efforts of meeting industry competence needs, where the continuous digital transformation entails that employees must develop or even change their qualifications.The case outlined focus co-production of a joint course package, at master level, between three universities and their respective company networks. Participating universities have long traditions in working closely with companies in research and education, where approaches for co-production have evolved over time. We make use of our joint understanding of the manufacturing industry's specific competence needs and our experiences of sustainable course formats for participants working full time.The joint course covers aspects of a manufacturing company on three levels: plant level i.e. material and production flows, cell level e.g. robotic simulation and visualisation, and system level i.e. data acquisition and monitoring through sensors. Each university is developing a course module of 2.5 ECTS, addressing a level respectively of their specialist competence. Participants are to complete assignments for each course module, i.e. for all three manufacturing levels, where the previous assignment provides an input to the next level, enabling the participants to encompass a holistic view of a manufacturing system. Participants need to combine study and work and at the same time they wish to extend their network, hence we are adopting a blended learning approach, where virtual labs and web conferences are mixed with physical meetings.A variety of challenges arise when designing such novel approaches: combining company networks, course design including online learning, planning of physical course meetings,joint promotion, common admission and validation process, financial models and more. However, engaging in partnerships with industry for knowledge transformation and development has the potential to become rewarding for all parties.
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| 10. |
- Eriksson, Kristina M., 1976-, et al.
(författare)
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An educational model for competence development within simulation and technologies for industry 4.0
- 2021
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Ingår i: Proceedings of the 2021 Winter Simulation Conference. - 9781665433112 ; , s. 1-12
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Konferensbidrag (refereegranskat)abstract
- In the era of industry 4.0 businesses are pursuing applications of technological developments towards increased digitization. This in turn necessitates continuous and increasing demand for competence development of professionals. This paper reports a study of the design of university courses targeted towards professionals and investigate how such an educational incentive can act as a catalyst for application of technologies for industry 4.0, including simulation. Quantitative data is collected from fifteen courses addressing the competence need in manufacturing industry, and the qualitative data includes ten focus groups with course participants from companies. The results highlight that the course design enables knowledge exchange between university and industry and between participants. Moreover the pedagogy of working on real cases can facilitate opportunities for introducing new technologies to management. The study shows that the educational incentive explored can act as a catalyst for application of simulation and technologies within industry 4.0 in manufacturing industry.
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