In smart manufacturing, effective data collection and analysis are crucial. But to truly succeed, it's essential to integrate the coordination of personnel, equipment, and materials into the process.
For the factory worker, this would typically be through a series of digital nudges that guide their decision-making throughout the day, enabling them to work in harmony with smart machines for optimal results.
To discuss more the value and implementation of human-machine collaborative systems for smart manufacturing, I talked with Rafael Amaral.
Rafael is the CTO and Co-Founder of TilliT, a cloud-based digital operations platform that provides alternative approaches to traditional supply-chain management systems, MES platforms, and OEE software.
Below is the outline of our conversation.
✅ Opportunities for human-to-machine collaboration in manufacturing
✅ Benefits of effective orchestration of human-machine collaboration
✅ Assessing and redesigning processes to facilitate seamless human-machine collaboration.
✅ Connectivity Guideline for Real-Time updates
✅ Understanding human efficiency in influencing the operational value
✅ Identifying and resolving value-destroying behaviors on the shop-floor
✅ Impact of knowledge retention for digital transformation
✅ Selecting technology platforms for frontline workers
✅ Role of Unified Namespace in driving human-machine collaboration systems.
✅ Performance metrics and monitoring strategies for human-machine collaboration
✅ Deliver effective training programs to prepare frontline workers
✅ Case studies on implementing human-machine collaborative systems.
Ep 23 : Digital Transformation Through Digital Twins - Dr. PG Madhavan (IoT Digital Twin, Causality, Data Science) )
Ep 22 : Building Scalable and Secure IIoT Solutions Using Open Source - Jeremy Theocharis (Co-Founder & CTO - United Manufactruing Hub) )
Ep 21: Edge AI: Artificial Intelligence and Distributed Computing at The Industrial Edge - Angelo Corsaro (CEO & CTO - ZettaScale Technology )
Ep 20: OPC UA and Time-Sensitive Networking for Field Level Communication - Bhagath Singh Karunakaran (CEO, Founder - Kalycito )
Ep 19: Application of Web 3 in Industrial IoT & Edge Computing - Rex St. John ( Jetson Software Ecosystem - NVIDIA )
Ep 18: Edge Computing for Industrial IoT - Dominik Pilat & John Kalfayan( Hivecell)
Ep 17: AutomationML, OPC UA & Asset Administration Shell for Industry4.0 - Dr. Miriam Schleipen ( Chief Research Officer, EKS InTec GmbH )
Ep 16: Application of Artificial Intelligence in Process Industries - Simon Rogers ( Digital Transformation Consultant, Yokogawa )
Ep 15: Edge Analytics and Intelligent Automation for Industrial IoT - Martin Thunman ( CEO & Co-Founder, Crosser )
Ep 14: IIoT Semantic interoperability with MTConnect - Russell Waddell ( Managing Director, MTConnect Institute )
Ep 13: Time-Series Databases for IIoT [ InfluxDB ] - Brian Gilmore ( Product Manager for IoT, InfluxData )
Ep 12: Embedded Machine Learning for IIoT - Zin Kyaw ( Senior User Success Engineer, Edge Impulse )
Ep 11: Global Industry Standards for Industrial IoT - Claude Baudoin ( cébé, OMG, IIC, Cutter )
Ep 10: Open Source Software for Industrial IoT - Frédéric Desbiens ( Program Manager - IoT and Edge Computing, Eclipse )
Ep 09: Industrial Internet of Things (IoT) 101 - Benson Hougland ( VP of Product Strategy, Opto22 )
Ep 08: Technical Foundations of IoT - Dominik Obermaier ( Co-Founder & CTO, HiveMQ )
Ep 07: Kafka for Industrial IoT Streaming - Kai Waehner ( Field CTO & Global Technology Advisor, Confluent )
Ep 06: Foundations of Industrial IoT Data Architecture - John Harrington ( Co-Founder, HighByte )
Ep 05: Advanced Plant-Floor Data Analytics - Marcos Taccolini ( Founder and CTO, Tatsoft )
Ep 04: A Practical Guide to IIoT Connectivity - Stan Schneider ( CEO, Real-Time Innovations )
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