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Toppytebild forskningsresultat Toppytebild forskningsresultat
Robotlabb på PTCThe 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.

Fundamental lessons learned from the project are conceptualised into the following best practices:

  • Continuous agile working methods are an optimal approach for co-creating project results. Small loops of experimentation and learning with constant reconciliations between researcher and industry practitioners contributed to a holistic understanding, where diffusion of industrial digitalization and business development goes hand-in-hand with continuous professional and organization learning.
  • Realizing the need for a more human-centric approach navigating industrial digitalization could reframe industrial digitalization to an incremental change rather than radical and threatening.
  • The nexus between human and technology cannot be dismissed when deciding whether to digitalize or not.
  • High-level human input (e.g., common sense, critical thinking, tacit knowledge, experienced judgement, creativity etc.) is recognized as necessary leading Industry 4.0 into Industry 5.0.
  • Taking responsibility for industrial digitalization is challenging and the importance of an adaptive organizational culture and a focus on learning and competence are crucial.
  • To enhance learning and empower the employees and the organization the arrangements of the socio-technical capabilities for support in decision-making can take various forms: in terms of “human-in-the-loop” processes. 

Contemporary manufacturing companies are navigating industrial digitalization, anticipating increased production efficiency and competitiveness in a volatile environment. In the eras of Industry 4.0 and Industry 5.0, the manufacturing industry cannot rely solely on technology but must also address human and organizational aspects in a sustainable manner.

Forskningsprojektet AHIL co-production model.png

Machine Learning

HAHIL WP 1ow 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. Read more!

Production flow simulations

AHIL WP 2 logistikflödenThis 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. Read more!
Interactive user apps
AHIL WP 5 ICo-production of learning seminarsThe 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. Read more!

PhD student project

Linnéa Carlsson, PhD student, University WestLinnéa 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. Read more!

Co-production - Learning seminars

A 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. Read more!

Co-production – Student thesis works

AHIL WP 6Seven 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. Read more!  


  • Samhällsvetenskap
  • Teknik
  • Arbetsintegrerat lärande

Forskningsmiljö / Institution

  • Produktionsteknik
  • Arbetsintegrerat lärande
  • Primus (KK-miljö)
  • Institutionen för ekonomi och IT



  • GKN Aerospace
  • Siemens Energy


  • KK-Stiftelsen


2020 - 2022


Anna Karin Olsson

Anna Karin Olsson Universitetslektor Docent i företagsekonomi
Senast uppdaterad