Optimizing Cognitive Support & Standardization: Digital Transformation of Production Instruction Systems in Manufacturing - An evaluation of current system and possible digitalization solutions
This thesis examines production instruction systems at Scania CV AB and shows that transitioning from paper-based to intuitive digital solutions can reduce operator cognitive load, improve standardization, and enhance efficiency in complex manufacturing environments.
Authors: Amnada Bergström Ohlsson &Linda Holmgren Faghihi
Examiner: Johan Stahre
Supervisor: Omkar Salunkhe
Co-supervisor: Mohammad Haddadzade
Year: 2025
In the face of increasing production complexity and higher quality demands in the manufacturing industry, effective cognitive support for operators has become crucial. This thesis investigates the current state of production instruction systems at Scania’s transmission factory and explores opportunities for digital transformation to enhance efficiency, standardization, and user experience. The existing production instruction system at Scania CV AB, based on printed documents generated through the ArtHur software, presents significant challenges in terms of usability, cognitive load, and standardization across departments. Through a combination of a system atic literature review, qualitative methods, including interviews, Gemba walks, and workshops, and a benchmarking study with peer companies, key shortcomings and improvement areas were identified. A requirement specification was developed to guide the design of two conceptual solutions: one for immediate implementation based on improved standards, and one representing a state-of-the-art digital system. A pilot project was conducted to evaluate both concepts in a real production setting. Results demonstrate the potential of intuitive digital interfaces to reduce operator cognitive load, improve instruction accessibility, and support standardized procedures. The findings offer actionable recommendations for implementing more effective, user-centered instruction systems in machining environments.
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Optimizing cognitive support and digital transformation in production systems is a fascinating area of innovation. It shows how technology can improve efficiency and accuracy. Professionals interested in this field often explore management courses in Stockholm, Sweden to better understand how to manage complex systems and processes.