Subject – Process Mining in Smart Manufacturing and Industry 4.0
Industry – Process Mining
Introduction:
Welcome to the eLearning course on Smart Factory Process Analysis and Optimization, offered by T24Global Company. This course is specifically designed for students pursuing their M.Tech in Process Mining and aims to provide a comprehensive understanding of the concepts and techniques used in analyzing and optimizing processes in a smart factory environment.
In recent years, the manufacturing industry has witnessed a significant transformation with the advent of smart factories. These factories leverage advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics to optimize and automate various manufacturing processes. As a result, they are capable of achieving higher productivity, efficiency, and quality standards compared to traditional manufacturing setups.
Process mining plays a crucial role in enabling organizations to gain insights into their processes, identify bottlenecks, and make data-driven decisions for process improvement. It involves the extraction of knowledge from event logs generated by information systems, providing a detailed understanding of how processes are executed in practice. By analyzing these event logs, organizations can identify inefficiencies, deviations, and opportunities for optimization.
This eLearning course will cover a wide range of topics related to smart factory process analysis and optimization. It will start with an introduction to process mining and its significance in the context of smart factories. You will learn about the different types of process mining techniques, such as discovery, conformance, and enhancement, and how they can be applied to analyze and optimize manufacturing processes.
Furthermore, the course will delve into the various data sources available in a smart factory environment, including sensor data, machine logs, and production databases. You will understand how to extract and preprocess this data for process mining purposes, ensuring its quality and relevance for analysis.
The course will also provide insights into process modeling techniques, which are essential for representing and visualizing manufacturing processes. You will learn about different process modeling notations, such as BPMN (Business Process Model and Notation), and how to create process models that accurately represent the workflow of a smart factory.
Additionally, the course will explore advanced process analysis techniques, including process discovery algorithms, performance analysis, and root cause analysis. You will gain hands-on experience in applying these techniques to real-world manufacturing datasets, enabling you to identify process bottlenecks, inefficiencies, and opportunities for improvement.
By the end of this eLearning course, you will have a solid foundation in smart factory process analysis and optimization. You will be equipped with the necessary knowledge and skills to apply process mining techniques in a manufacturing environment, enabling you to drive process improvements and enhance the overall efficiency and productivity of a smart factory.
We hope you find this course valuable and wish you the best of luck in your M.Tech in Process Mining journey. Let’s get started on this exciting learning journey together!
NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/smart-factory-process-analysis-and-optimization/ (copy URL)
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Lessons Included