Advanced planning and scheduling system (aps)
Advanced Planning and Scheduling System (APS)
Download Flowchart
Advanced Planning and Scheduling System(APS)
Sanda’s Advanced Planning and Scheduling system (APS) integrates resources from sales, procurement, warehouse, production, and quality control departments in glass processing factories to provide effective production planning solutions. It dynamically calculates and schedules production output, order areas, and order types for each production line, ensuring on-time delivery, maximizing capacity utilization, reducing inventory buildup, and improving equipment efficiency. APS acts as a central command center, providing real-time visibility of factory operations and generating optimized production schedules.
Functions
  • Advanced Scheduling Parameters, Production Line Configuration, Scheduling Calendar, Standard Working Hours, Automatic Scheduling, Planning Reports, Schedule Achievement Reports, Process Summary.
  • features
    Highlights
    Automated Production Scheduling
    Automatically schedules production based on line characteristics, capacity, order types, and delivery dates; predicts delivery times, adapts to order changes, optimizes schedules in real time, calculates capacity load, and balances production allocation.
    Cost Savings
    Reduces the number of planning personnel, saving labor costs.
    Optimize Resource Allocation
    Maximizes in-progress production output, minimizes work-in-progress inventory, and reduces capital tied in stock.
    Optimize Equipment Utilization
    Optimizes production allocation across lines, improving equipment utilization.
    Emergency Production Adjustment
    Automatically adjusts production plans for urgent orders to ensure on-time delivery and improve customer satisfaction.
    Resource Integration, Efficiency Improvement
    Integrates resources across departments, enables on-demand procurement, real-time adjustments, reduces downtime due to material shortages or equipment faults, shortens production cycles, lowers overall costs, and enhances production efficiency.