Smart Manufacturing Trends and Insights : A Case Study of Mitsubishi Electric Corporation

Albany, US, 2018-May-21 — /EPR Network/ — An innovative research report titled, “Smart Manufacturing: A Case Study of Mitsubishi Electric (Updated 2018)” has been added to the research repository of Market Research HUB. The research study offers in-depth analysis and insights on the Mitsubishi Electric corporation. A holistic overview and analysis are offered to readers on the basis of historical trends and recent developments.

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Mitsubishi Electric Corporation is a Japanese electronics and electrical equipment brand, which provides a wide range of products for residential, public, industrial, and military uses. Amid the trend of IoT, the company has long acknowledged that it is imperative to invest in the development of intelligence in factories. In 2003, it introduced smart manufacturing to its production process with the launch of several smart factory solutions, such as e-Factory and eco-Factory, which have become Mitsubishi Electric’s key ingredients in the development of smart manufacturing. The results have been validated at Mitsubishi Electric’s many factories, including its Kani Plant Nagoya Works where human-robot collaboration has been adopted. This report discusses Mitsubishi Electric’s smart manufacturing developments, major businesses, and applications to explore the company’s smart manufacturing endeavor.

Table of Contents

1. Development History

2. Mitsubishi’s Acquisitions

3. Major Businesses
3.1 Products and Services
3.1.1 Industrial automation systems:
3.1.2 Energy and electric systems:
3.1.3 ICT Systems
3.1.4 Electronic Devices
3.1.5 Home Appliances
3.1.6 Others
3.2 e-Factory
3.2.1 Traceability System
3.2.2 Product Management System
3.2.3 Operation Management System
3.3 Edgecross Platform
3.3.1 Edgecross Features
3.3.2 Use Case Scenario: Equipment Failure Prediction at Production Site
3.3.3 Use Scenario: Equipment Failure Prediction of Oversea Factories
3.4 Maisart AI Technology
3.4.1 Deep Learning, Enhanced Learning, and Big Data Analytics
3.4.2 Maisart Realizes Smart Factories

4. Real-World Applications 
4.1 E4 Factory at Nagoya Works
4.1.1 “Component Picking Instruction” System and “Component Installation Instruction” System
4.1.2 Factory-floor Data Collection Optimizes Operational Efficiency
4.2 Intel’s Malaysian Factory

5.Conclusion

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