Our FAQ

  • Is MangoGem's production scheduling software compatible with my company's MRP and MES software?

    Yes, our AI-based production planning and finite scheduling software supports full two-way integration with your existing MRP and MES systems. In fact, MangoGem APS includes built-in MRP functionality, allowing it to complement or even replace certain MRP capabilities if needed.


  • Does MangoGem's solution support Master Production Scheduling (MPS)?

    Yes, MangoGem APS Optimizer combines production planning and scheduling in a single system. It supports Master Production Scheduling (MPS), which typically operates at a rough-cut, long-term planning level, while our advanced finite capacity scheduling ensures more detailed and precise execution. Learn more about the differences between MPS and finite scheduling here


  • Which Industries Benefit from MangoGem’s Production Scheduling Software?

    MangoGem’s APS software is built for manufacturers across a wide range of industries, including packaging, automotive, metals, plastics, electronics, pharmaceuticals, textiles, food & beverage, and chemicals. It efficiently models even the most complex production processes, enhancing efficiency and reducing costs.


  • What Type of Output Does MangoGem’s Production Scheduling Software Generate?

    MangoGem’s APS delivers three key outputs:

    1) Optimized, execution-ready schedules to streamline production

    2) Material requirements planning for a defined time horizon

    3) Workforce, periodic maintenance (including CIP) scheduling.

    Without complex programming, our solution precisely schedules production, minimizes idle time, and shortens lead times—driving down manufacturing costs daily.


  • What Are the Key Features of MangoGem’s Production Scheduling Software?

    MangoGem’s APS software offers advanced production scheduling capabilities to optimize manufacturing efficiency. It includes multi-level BOM planning for accurate material allocation, optimal lot sequencing to improve production flow, and dynamic bottleneck detection to prevent delays. The software also features setup and maintenance optimization to reduce downtime, batching and WIP control to enhance efficiency, and order promising (CTP) to ensure reliable delivery commitments.