SHINKO’s Production Engineering

SHINKO is committed to manufacturing that satisfies customers in terms of quality (Q), cost (C), and delivery (D) while giving careful consideration to safety (S).
In recent years, SHINKO has strengthened its efforts to improve productivity by manufacturing processes and automation using IoT, and incorporating AI into inspection processes. These efforts have further advanced our manufacturing technologies.
Additionally, we conduct in-house training of production engineers and focus on developing human resources for manufacturing.

Initiatives for Enhancing Production Engineering

IoT

● Manufacturing Process Improvement

SHINKO automatically collects and stores large volumes of manufacturing data from each piece of equipment in the production process. We use stored data to visualize alarms and trends based on control lines, and work on various improvement activities such as early detection of errors and quality improvement.

● Visualization of Equipment Maintenance Status

SHINKO collects maintenance data from each piece of manufacturing equipment and performs regular data analysis. By shifting from planned preventive maintenance to predictive and accident-sign-detective maintenance, we are reducing losses from equipment stoppage and achieving increasing   production capability.

Automation

● Manufacturing Process Automation by Robots

SHINKO is promoting labor-saving  and automation with unmanned transfer robots for cleanroom environments that are designed to prevent dust generation and are capable of adapting flexibly to changes in process routes. We have also introduced articulated robots, and achive to save space and reduce human operation load in processes while handling heavy loads.

AI

● Use of AI in Visual Inspection Processes

SHINKO has equipped its automated visual inspection equipment with AI to enhance inspection accuracy, which not only stabilizes quality but also helps achieve labor savings.

Training of Production Engineers

● Conducting Training of Production Engineers

SHINKO focuses on developing human resources for manufacturing by conducting regular training of production engineers, covering manufacturing fundamentals, industrial engineering (IE) methods, cost fundamentals, and the 5S methodology (Seiri (Sort), Seiton (Systematize), Seiso (Shine), Seiketsu (Standardize), and Shitsuke (Sustain)).

Others

● Use of Commodity Distribution Simulation

By using simulators to forecast production output across manufacturing processes, SHINKO is optimizing commodity distribution and maximizing the effective use of people, products, and space.

● Process Management Digitization

SHINKO is digitizing the various forms and records used in manufacturing processes to enable data-driven process management while promoting a shift to paperless operations.

Supporting Manufacturing Department through Extensive Expertise and Advanced Technology

SHINKO's Equipment Engineering Divison, Information System Division, and Engineering Support Division operate independently, providing expert knowledge and technical capabilities to support manufacturing across a wide range of business areas.

EQUIPMENT ENGINEERING DIVISON	INFORMATION SYSTEM DIVISION	ENGINEERING SUPPORT DIVISION
- Planning, design, and fabrication of manufacturing equipment and automated manufacturing lines	- Design and development of systems for data integration across manufacturing equipment - Network implementation and operation for going online with manufacturing  equipment - Development and deployment of various data analysis and analytics platforms	- Support for simulation, evaluation analysis and analytical techniques - Basic education for manufacturing - On-site improvement support