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    industrial applications

    Explore " industrial applications" with insightful episodes like "Episode 76: Low on Code, High on Process" and "Modelling: 8. P-L-1: Thermodynamics" from podcasts like ""Augmented Ops" and "Modelling"" and more!

    Episodes (2)

    Episode 76: Low on Code, High on Process

    Episode 76: Low on Code, High on Process
    Joining us this week on the podcast (@AugmentedPod (https://twitter.com/AugmentedPod)) is CEO and Founder of Pyze, Inc. (@PyzeInc (https://twitter.com/PyzeInc)) Prabhjot Singh (@psinghSF (https://twitter.com/psinghSF)) Here with futurist Trond Undheim to talk all about business process intelligence, the workflows in manufacturing and logistics, and the future outlook for low-code in industrial applications, the episode is 76 and the topic is: "Low on Code, High on Process." Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. Technology is changing rapidly. What’s next in the digital factory? Who is leading the change? What are the key skills to learn? How to stay up to date on manufacturing and industry 4.0? Augmented is a podcast for industrial leaders, process engineers, and shop floor operators, hosted by futurist Trond Arne Undheim (@trondau (https://twitter.com/trondau)), and presented by Tulip, the frontline operations platform (@tulipinterfaces (https://twitter.com/tulipinterfaces)). Trond's takeaway: Business process intelligence is the "why" of technology. Because smoother operations are where the value of technology is realized. The future outlook for low code in industrial operations is bright because it has the potential to streamline workflows in manufacturing and logistics. However, it is important to keep in mind that to leverage automation to do better decisions, and not just to squeeze out more with less--that starts with keeping in mind what the real problem is and steering with that in mind. If you don't know, figure out the problem and then invest in the process and if technology gets you there, invest. Thanks for listening. If you liked the show, subscribe at Augmented podcast.co or in your preferred podcast player and rate us with five stars. And if you liked this episode, you might also like episode 73 The Challenge of Front Line Operations. Hopefully, you'll find something awesome in these or in other episodes. And if so, do let us know by messaging us because we would love to share your thoughts with other listeners. The Augmented podcast is created in association with Tulip, the connected frontline operations platform that connects the people, machines, devices, and the systems used in a production or logistics process in a physical location. Tulip is democratizing technology and empowering those closest to operations to solve problems. Tulip is also hiring. You can find Tulip at Tulip.co. Please share this show with colleagues who care about where industrial tech is heading. To find us on social media is easy, we are Augmented Pod on LinkedIn and Twitter, and Augmented Podcast on Facebook and YouTube: LinkedIn: https://www.linkedin.com/company/augmentedpod Facebook: https://www.facebook.com/AugmentedPodcast/ Twitter: https://twitter.com/AugmentedPod YouTube: https://www.youtube.com/channel/UC5Y1gz66LxYvjJAMnN_f6PQ See you next time. Augmented--industrial conversations that matter. Special Guest: Prabhjot Singh.

    Modelling: 8. P-L-1: Thermodynamics

    Modelling: 8. P-L-1: Thermodynamics
    IO2081. Bachelor IO 2e jaar. Modelling is about understanding the nature: our world, ourselves and our work. Everything that we observe has a cause (typically several) and has the effect thereof. The heart of modelling lies in identifying, understanding and quantifying these cause-and-effect relationships. A model can be treated as a (selective) representation of a system. We create the model by defining a mapping from the system space to the model space, thus we can map system state and behaviour to model state and behaviour. By defining the inverse mapping, we may map results from the study of the model back to the system. In this course, using an overarching modelling paradigm, students will become familiar with several instances of modelling, e.g., mechanics, thermal dynamics, fluid mechanics, etc.