EdgeMPS is Elfonze Technologies’ next-generation Master Production Scheduling (MPS) platform, built to address the modern challenges of manufacturing operations. Designed for intelligent, dynamic, and scalable production scheduling, EdgeMPS empowers manufacturers to move beyond static spreadsheets and limited ERP modules, delivering data-driven results at scale
In today's competitive manufacturing environment, production planning is not just a calendar-based routine—it is a strategic business function that impacts delivery performance, efficiency, and overall profitability. EdgeMPS integrates advanced scheduling algorithms with real-time data, enabling manufacturers to make informed decisions, reduce waste, and respond quickly to demand and supply fluctuation
Manufacturers today face several production scheduling issues:
Heavy reliance on manual planning and spreadsheets
Inflexible and outdated ERP scheduling capabilities
High changeover and setup times due to poor sequencing
Lack of synchronization between feeder and main production lines
Inaccurate planning from limited visibility into resources and demand
EdgeMPS is a robust, AI-driven scheduling engine tailored for discrete and process manufacturing. It considers a wide array of real-world constraints to generate optimal production schedules in real time.
Real-time scheduling based on demand, inventory, BOMs, machine capacity, and lead times
Intelligent job sequencing to minimize changeovers and setup time
Integrated planning across main and feeder production lines
Seamless integration with ERP and MES systems
Dynamic rescheduling and override capabilities based on business events
Feeder Line Synchronization: Automatically create, schedule, and sequence dependent work orders to align with main production workflows.
Master Production Plannin: Develop production schedules based on customer demand, sales forecasts, and current inventory positions.
Capacity Planning: Ensure that work orders align with available labor, machines, and material resources. Supports level-loading to reduce bottlenecks.
Prioritization and Overrides: Adjust production priorities on-the-fly in response to urgent orders, supply chain disruptions, or inventory imbalances.
Optimization Engine: Optimize machine utilization, lead times, and material consumption to reduce overall operational costs.
AI Readiness: Incorporate predictive maintenance, resource availability, and sensor data to drive scheduling decisions.
The scheduling process within EdgeMPS involves:
Data Integration: Captures master and transactional data (Items, BOMs, Sales Orders, Work Orders, Inventory).
Schedule Generation: Applies business rules and system constraints to generate optimized MPS output.
Production Execution Support: Provides shop floor-level documents, work order releases, and material movement instructions.
Monitoring and Analytics: Displays real-time KPIs and performance metrics for review and continuous improvement.
Scenario Simulation: Supports "what-if" analysis for planning under alternate demand or capacity scenarios.
EdgeMPS builds and maintains the production schedule by evaluating:
Forecasted and committed demand
Inventory position (initial stock, WIP, subcontracted quantities)
Capacity constraints and planning policies
Financial and business priorities
Shift patterns and calendar settings
The result is a Master Production Schedule that specifies when and how much to produce for each product, with a clear plan for execution and adjustments.
EdgeMPS leverages AI to:
Identify and eliminate planning inefficiencies
Recommend proactive scheduling actions based on historical data
Learn from prior schedules to improve sequencing logic
Enhance planner productivity with automated decision support
By adopting EdgeMPS, organizations can:
Reduce material shortages and production delays
Increase manufacturing throughput and productivity
Improve planner efficiency by eliminating manual effort
Enhance on-time delivery rates and customer satisfaction
Rapidly adapt to demand changes or supply disruptions