The aim of the project was defined together with industry partners, GKN Aerospace and Siemens Energy AB, reading as follows: to understand how industrial digitalization can approach human and artificial intelligence through learning for a future digitalized manufacturing. Companies tend to focus on technological improvements in working processes and activities, paying less attention to human-centric aspects. Interdisciplinary project results are bridging the areas of industrial work-integrated learning and production technology contributing a deeper understanding of how industrial digitalization can approach human and artificial intelligence for learning, primarily related to machine learning, production flow simulations, and interactive user apps.
ow may design data-driven analysis using Machine Learning (ML) methods and algorithms be applied to predict future machine performance and to support human intelligence and learning to further digital transformation processes? The big-data research resulted in an increased understanding of the collected data and methodology as well as lessons learned and recommendations for enhancements. 
This research focused on challenges and opportunities for initiation, or extended applications, of production flow simulation i.e., discrete event simulation (DES) as a tool for decision support in the era of industry 4.0. Results concluded complexity of introducing DES as a new tool for decision making emphasizing human knowledge and involvement is yet necessary. The results from investigating the human-centric aspects highlight the challenges of implementing and especially trusting digital tools. 
The focus of this work package has been on how new disruptive systems, built on the Industrial Internet of Things (IoT) and sensor-based technologies measure machine status and systems status. General results show a need to further study the representation and augmentation of data and handle the complexity of real-time data with work practice in heterogeneous IT infrastructures on the shop floor. 
Linnéa Carlsson, PhD student in Informatics with a specialization in work-integrated learning, has studied the understanding of the underlying aspects of organizational capabilities in manufacturing organizational contexts within the strategic work of implementing digital technologies. Findings indicate that managers are desperately seeking an orientation toward industrial digitalization. Strategy formulation remains a disparate action in a closed area within an organization's formal and informal structures. There is a lack of organizational enablers to face industrial digitalization within the following domains: organizing and maintaining an adaptive culture, learning, and competence. 
webinar entitled “Change and leadership in data-driven production – development of CoPilot” was arranged jointly by PTC Kunskap and Innovatum 13 December 2022. Amanda Dalstam and Jon Eklöf from GKN Aerospace presented the journey to develop, lead and introduce the CoPilot platform. Monika Hattinger, who has studied the CoPilot project, states that content data-driven production affects the entire organization and creates changes at all levels, that need to be further studied. 
Seven student thesis works at bachelors’ and masters’ levels were completed during the AHIL project based on a close collaboration and co-production with industry partners. The student thesis works covered different areas such as industrial engineering, informatics, leadership, and production logistics with simulation and machine learning. Presentations expand_more
Internal and external presentations/seminars
1. Tillverka i Trä (Wood manufacturing), Topic: “Production flow simulation”, 25th of June 2020, Directed towards industrial participants, Tillverka i Trä.
2. Primus webinar 12 Nov 2020 “The interspace between artificial and human systems – About intelligence and learning in socio-technical practice”.
3. VILÄR 3-4 dec 2020, “Artificial and Human Intelligence through Learning: How Industry Applications Need Human-in-the-loop”
4. “Artificiell intelligens inom forskning”, Futurum, mars, Trollhättan, 2021.
5. AHIL project meeting presentation of students’ exam works 2021, 8 June 2021
6. IACIS, A Conference of the International Association for Computer Information Systems, 24-25 June 2021, “Taking care of Digital initiatives: Managers approaching industrial digitalization”.
7. American Conferences on Information systems, August 9-13, 2021, “Real-time Analytics through Industrial Internet of Things: Lessons Learned from Data-driven Industry”.
8. Posterpresentation Primusdagen Högskolan Väst 17 Nov 2021
9. Posterpresentation Automationsdagen Högskolan Väst 18 Nov 2021
10. VILÄR 9-10 December 2021, “Artificial and human aspects of Industry 4.0: an industrial work-integrated-learning research agenda”.
11. 10th Swedish Production Symposium, April 26th – 29th, 2022, Skövde, “Applying digital twin technology with seamless transfer: An automation line case study”.
12. Swedsoft webinar serie Software inspiration for professionals 10 maj 2022 “Artificial and human intelligence through learning: Why industry 4.0 needs a human-centric perspective".
13. FAIM 2022, Flexible Automation and Intelligent Manufacturing International Conference 19-23 June 2022, Detroit, “To Digitalize or Not? Navigating and Merging Human- and Technology Perspectives in Production Planning and Control”.
14. IACIS Conference Europe, A Conference of the International Association for Computer Information Systems, 23-24 June, 2022, Warsaw, Poland, (Digital) “A co-workership approach on digital transformation - Towards smart manufacturing”.
15. CIRP Conference on Manufacturing Systems, 29 June- 1 July 2022, Lugano, Switzerland. “Conceptual framework of scheduling applying discrete event simulation as an environment for deep reinforcement learning”.
16. NFF, Nordic Academy of Management Conference, 22-23 Aug 2022, “What leaders require to deploy AI in manufacturing companies: An interdisciplinary and mixed methods approach”.
17. Guest lecture at PhD student Course “Work-integrated Learning as a Research Field”. University West, 5 Dec 2022, Presentation and discussion around interdisciplinary research from the research project Artificial and Human Intelligence through Learning (AHIL).
18. International Conference on Work Integrated Learning, 7-9 Dec 2022, University West, Trollhättan, Sweden, “Reviewing human-centric themes in intelligent manufacturing research”.
19. Primus steering group, University West, 12 Dec 2022, invitation to present interdisciplinary results from the research project Artificial and Human Intelligence through Learning (AHIL).
