J-WiSe® is a general term for IoT solutions developed by JSW. With four pillars (Production management, Service / Maintenance, Production support, Production automation system) for injection molding machines, we aim to provide solutions that contribute to customer productivity improvement.

It "visualize" the problems (alarms, stopped states) that occur daily in the molding factory, and support problem solving based on quantitative data.

By analyzing the cause of the decrease in the operating rate from the operating history and making fundamental defect improvements, the equipment operating rate can be increased and opportunity loss can be reduced.

By analyzing the measured value data, the stability of molding is evaluated and the optimization of conditions is assisted.

＜NET100 function example＞

• Collection of Actual molding data
• Molding data analysis
• Operation status collection
• Remote console

By accumulating and analyzing production schedule and actual data, it identify issues in production and support the formulation of more efficient production plans.

It is possible to manage the production schedule and actual results of the molding machine in an integrated.

It can create work order and result reports for molding sites from production schedule and result data.

＜Production Manager function example＞

• Operation status collection
• Order registration
• Production plan
• Work instructions
• Production performance management
• Data link to Upper System
• Work report
• Inspection result report

The PLC communication function cooperates with automatic machines and peripheral devices to support the automation of production.

By converting the operation record management to digital data, it becomes easier to analyze the operation rate etc.

Peripheral device can be set automatically at the same time as the molding conditions are loaded on the molding machine controller screen, which contributes to shortening the setup time.

＜Team Network function example＞

• Modbus communication
• Serial communication
• PLC communication
• I/O signal output

automatically correct molding conditions and keep good molding before molding defects occur due to changes in the environment, variations in material lots, aging deterioration of parts, etc.

Molding defects that can be detected and corrected by molding conditions are automatically corrected by our unique AI algorithm (reinforcement learning).

Our J-AD and J-ADS series machines can be applied to existing machines.

• Improvement of production yield by reducing defective rate.
• Reduction of downtime to fix molding defects.
• Labor saving by increasing the number of manageing molding machines per operator.