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Open Courses
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Industry 4.0: From Roadmap to Realization
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In the era of Industry 4.0, the toolbox of Lean Production is extended by new digital technologies. This training explains the origins and interrelations between Lean Production and Industry 4.0. The philosophy of lean production still is the baseline for identifying digital solutions that add value to your business. In this course, participants will be inspired by a broad overview of state-of-the art technologies, related to real-world challenges in production systems. Support is given on how to assess your value streams to find the right pain points to start with.
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Lean production enabled by Industry 4.0
Objectives and Content
Lean production is a principle focused on eliminating waste. Waste is defined as anything that does not add customer value. We see Industry 4.0 as an enabler for a new boost of Lean Production. Existing lean methods and tools are enhanced by digitalization. Sensors gather more information on the current status of the production system and allow for an improved decision-making. This course the opportunities for hands-on practice of lean principles and gives insights in how lean production benefits from Industry 4.0.
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Digital Shop Floor Management
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Shop floor management is a well-established management concept for strengthening coordination and fostering a culture of continuous improvement. Shop floor management is much more than meetings and key figures. In essence, it is about a human-centered understanding of leadership that puts employee development in the spotlight. Personal contact, regular coordination and a high degree of identification with the results of the work are crucial to the success. The market demands ever greater flexibility, requiring stable and controlled processes. Success results from the real-time transparency of performance losses combined with the timely elimination of problems across departments. Historical data is only of limited help here, so the digitalization of shop floor management offers enormous advantages.

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Data Analytics and Machine Learning in Production
Objectives and Content
The ubiquitous use of sensors and connected devices leads to a tremendous increase in collected data. Data analytics in production is the use of big data analytics and machine learning methods to ensure quality, to increase performance, and to reduce cost. This training combines theoretical knowledge and hands-on practices to show the potential of data analytics in production. Participating in this training helps you to understand and drive integration of appropriate methods on your way to a smart factory.

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Lean and Smart Internal Logistics
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Optimal internal logistic processes are critical for an efficient production process: The right material needs to be at the right place in the right quantities at the right time. Guiding principles originating from lean production, such as kanban systems and milk-run, are introduced in this course. Additionally, the transfer of these principles into the digital factory is discussed. The training contents are supported by hands-on application scenarios in our Innovation Center.

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Scalable automation by human-robot collaboration
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The increasing demand for customization, shortened product lift-cycles and increasing labor cost raise new challenges for production systems. Flexible systems are needed, that can adapt to these changing requirements and achieve similar cost efficiency as traditional lean production systems. Scalable Automation allows a quick adaption of the automation level of an assembly system. Enablers for scalable automation are introduced in this course. Special attention is paid to proper task allocation between human operators and Collaborative Robots (Cobots).

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Six Sigma improved by Industry 4.0
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Six Sigma is an established standard for problem identification and solving. This Six Sigma training enriches the traditional methods by Industry 4.0 technologies. Cheaper sensors and data analytics revolutionize the Measure and Analysis phase in the DMAIC cycle. Easy-to-understand data analytics tools, such as Python, PowerBI, and Knime make Knowledge Discovery possible for everyone. Data collection by sensors and knowledge management transparency are also introduced. This training helps you integrate these methods into your own business on the way to a smart factory.

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Overview of Open Training Courses
This year we are offering seven topics in an open course format. Advantages of the open course format are a joint experience and a close exchange of best practices with participants from other companies.
Please refer to the 7 specific topics in the GAMI Training Open Courses 2022, feel free to contact us!