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4. The Future of Maintenance

DigiTalk Pod

Release Date: 12/05/2018

11. Knowledge creation for businesses in the digitalization era show art 11. Knowledge creation for businesses in the digitalization era

DigiTalk Pod

Robin Teigland explains how digitalization is changing the competitive paradigm of “traditional” businesses, where multinational corporations perform on the basis on size, structure and ownership of resources. Robin gives us many examples of how the digital disruption can start actually small, based on principles of resource sharing and open innovation. Robin Teigland is a Professor in Management of Digitalization in the Entrepreneurship and Strategy Division at Chalmers University of Technology.

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10. Smart Manufacturing: a Simulation-based Perspective show art 10. Smart Manufacturing: a Simulation-based Perspective

DigiTalk Pod

What does the Industrial Internet of Things mean when put into the context of Smart Manufacturing? Sanjay Jain from George Washington University, Washington, DC, breaks it down in three pillars: connectivity, intelligence and automation. Sanjay focuses on the intelligence part mainly. He shows how synthetic data generated by manufacturing simulation models, when feeding data analytics techniques, helps us to predict cycle times and delivery rates accurately, even with a limited training dataset.

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9. Assessing Smart Maintenance  show art 9. Assessing Smart Maintenance

DigiTalk Pod

Jon Bokrantz, Chalmers University of Technology, explains: This shared understanding of smart maintenance is rooted in the Swedish manufacturing industry. They really defined what it is. He also talks about "Smash – assessment of smart maintenance". The aims to SMASh project was to enable digitalization of the Swedish manufacturing industry. Many different management roles were involved in the development of the assessment tool.

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8. The Digital Twin for Geometrical Variations Management 4.0 show art 8. The Digital Twin for Geometrical Variations Management 4.0

DigiTalk Pod

Professor Rikard Söderberg, Chalmers University of Technology, takes us to a journey from the dawn of the engineering discipline of geometrical assurance to the digital twin as key to manage product tolerances and adjust the production according to the varieties of the upcoming products.

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7. Big Data for Big Decisions in Maintenance  show art 7. Big Data for Big Decisions in Maintenance

DigiTalk Pod

Instead of defining big data in terms of “what” and “how”, Mukund Subramaniyan invites us to asks: “why” big data? In this episode, Mukund Subramaniyan, Chalmers University of Technology, shares his adventure and precious knowledge as cross-disciplinary PhD student, bridging the gap between computer science and production engineering.

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6. Optimal Factory Layout thanks to Virtual Reality show art 6. Optimal Factory Layout thanks to Virtual Reality

DigiTalk Pod

“With a realistic model of the factory [in VR], actors affected by changes in factory layout are actively involved in the planning process”, says Liang Gong. He is a PhD student at Chalmers University of Technology (Production Systems), and is the expert of Virtual Reality technologies adoption in his research group. He talks about why computer aided design (CAD) and simulation tools are great for estimating quantitative measures in factory layout planning.

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5. Utilizing Data from the Production System show art 5. Utilizing Data from the Production System

DigiTalk Pod

This is a special episode, because Maja Bärring and Daniel Nåfors are the first PhD students who have been interviewed in DigiTalk Pod. Maja’s research focuses on understanding the value of data brought by digital technologies in production, such as the 5G and blockchain, whereas Daniel’s research focuses on supporting layout planning in factories via 3D laser scanner technology applied to virtual reality.

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4. The Future of Maintenance  show art 4. The Future of Maintenance

DigiTalk Pod

How to achieve a failure-free production? Listen to Anders Skoogh, Associate Professor and research group leader for Production Service Systems & Maintenance at Chalmers. Anders brings a perspective that combines technology, management and strategy and that transforms the concept of maintenance from reactive and insular to proactive and collaborative. Anders, being the Director of the Production Engineering Master Programme, describes how digitalization has been brought into curricula.  

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3. The Digital Factory  show art 3. The Digital Factory

DigiTalk Pod

Professor Björn Johansson talks about virtual production and digital twins, and shares with us how digital tools can help improve the sustainability performance of factories.

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2. Sustainable Manufacturing show art 2. Sustainable Manufacturing

DigiTalk Pod

Assistant Professor Mélanie Despeisse takes us to a journey starting from the quintessence of manufacturing – using valuable resources to produce value for society – to sustainable manufacturing and related concepts.

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Guest: Anders Skoogh, Associate Professor and research group leader for Production Service Systems & Maintenance, Department of Industrial and Materials Science, Chalmers University of Technology.

“The vision has to be failure-free production”

Listen to Anders Skoogh, who brings a perspective that combines technology, management and strategy and that transforms the concept of maintenance from reactive and insular to proactive and collaborative. Anders, being the Director of the Production Engineering Master Programme, describes how digitalization has been brought into curricula.

Some of the topics that Anders illustrated during the conversation:

  • The Overall Equipment Effectiveness, a pivotal indicator in maintenance management. If you want to know more, check this article by Torbjörn Ylipää, Anders Skoogh, Jon Bokrantz, Maheshwaran Gopalakrishnan, (2017) "Identification of maintenance improvement potential using OEE assessment", International Journal of Productivity and Performance Management, Vol. 66 Issue: 1, pp.126-143, https://doi.org/10.1108/IJPPM-01-2016-0028
  • The shift from condition-based maintenance to predictive-based or even prescriptive-based maintenance: in the future, failures will be predicted and the most efficient course of action will be advised.
  • The technology that “smartifies” maintenance, e.g., 5G connectivity, sensor systems, integration of data from sensors with Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP)
  • The importance of achieving smart maintenance through not only “a bunch of technologies” but also an intentional organizational changes and re-shaping of the organizational competences in manufacturing.
  • Servitization of production services.