When scheduling, the entire footwear industry supply chain must be considered, including the quality and timeliness of raw materials from upstream shoe material suppliers, as well as the quality and delivery time of supply from midstream shoe factories. Within the shoe factory, there are hundreds of processing stations, many of which involve manual processes that are often scheduled based on human experience, resulting in inconsistent production capacity planning, difficulty in controlling on-site production status, and slow response to emergencies.
The production scheduling plan is developed based on actual customer orders and demands. By working backwards from the customer order deadline, the production schedule ensures that all demands can be met, determining which products need to be produced each day and how many are required to achieve on-time delivery.
Automating the scheduling process reduces the need for manual planning and scheduling
This allows the production line to make real-time adjustments based on current production status and dynamically generate schedules that meet on-site production needs.
AI-based scheduling in shoe manufacturing enables intelligent automation
Reducing the need for manual planning and scheduling. This allows the production line to make real-time adjustments based on current production status and dynamically generate schedules that meet on-site production needs.
Standardizing the entire shoe production process involves parameterizing the different logic, cost assessment methods, and new product learning curves of different personnel and incorporating them into a system for scheduling and planning. This ensures that these factors are considered in the system-based scheduling process.
A production management system was implemented across multiple factories.
Integrating and standardizing the entire planning process and execution logic to make scheduling and planning operations more efficient and create a quantifiable measurement mechanism that is easy to manage.
Systematization of human experience: No longer relying on different people's experiences to achieve different results.
Previously, it took 2-3 weeks to manually schedule and still could not achieve satisfactory results. Now, it only takes 0.5 hours with the automated scheduling system.