Solution 12

Process Management System

The Process Management System enables the planning of production schedules, collection of actual performance data, and management of production progress based on order data. Additionally, by integrating with the inventory management system, it can manage work-in-progress and semi-finished goods inventory, thereby enhancing overall process management efficiency. Real-time management of production progress allows for quick responses to delays, supporting lead time reduction and efficient production. The system also includes quality information management features, making it easier to track quality changes during the manufacturing process and maintain high quality standards.

Benefits

  1. Real-Time Progress Management
    The system allows for real-time monitoring of production progress, enabling quick responses to issues such as delays and ensuring smooth operation of the production line.
  2. Integration with Inventory Management
    By integrating with the inventory management system, the status of work-in-progress and semi-finished goods can be monitored, ensuring that appropriate quantities are supplied at the right time to support efficient production. The system also allows for management of the Bill of Materials (BOM), enabling issuance instructions for necessary work-in-progress, semi-finished goods, and materials based on finished product orders.
  3. Enhanced Quality Management
    Quality information can be managed and tracked at each stage of the production process, facilitating early detection and response to quality-related issues, thereby establishing a system for delivering high-quality products.
  4. Streamlined Production Planning
    The system automatically generates production plans based on order data, enhancing the accuracy of planning and optimizing resource allocation. (*The production planning feature is an optional functionality.)
  5. Improvement Proposals through Data Analysis
    By analyzing production progress and quality data, the system makes it easier to identify improvement points in the manufacturing process, allowing for continuous improvement and cost reduction based on data-driven insights.