AI-powered Optimization

Optimize for Profit in High-Mix, Low-Volume Environments

Harness prescriptive AI to optimize up to 5 KPIs simultaneously from over 50 built-in options, balancing throughput, costs, and time. Move beyond basic rules-based scheduling to unlock more capacity with intelligent adjustments. Automatically evaluate trade-offs between competing KPIs, prioritizing production based on profitability, costs, revenue, and sustainability. Optional automatic MRP runs and incremental lot sizing further minimize waste, while continuous machine-learning auto-tuning ensures ongoing efficiency improvements.

MangoGem’s scheduling algorithms are key to our capacity advantage. Chasing throughput on a bottleneck line makes no sense – it's about maximizing value per minute. If anyone reverts to manual scheduling, they'll be out. AI-driven automation is non-negotiable for us.

Pieter Vanderhaeghen, COO of Fin-Col Group

 

Modeling versatility and depth: unique feature-rich flexible data model that covers end-to-end multi-level discrete, batch, or semi-process industries and supply chains from short to long term. This enables manufacturers to generate realistic and automatizable long-term planning complying with operational constraints, and short-term schedules being directly implementable to every workstation and person without any additional rework.

 

Optimization speed and performance: combination and hybridization of more than 30 configurable solvers and meta-heuristics and enhanced through machine learning and deep learning.  This enables MangoGem to compute complex schedules in just minutes, thereby allowing agile manufacturing by integrating last-minute changes multiple times a day. Real-time optimization and automated scheduling can be achieved in most real-life cases.

 

Fast deployment: easy connections with standard DBMS, ERP, or MES systems and to its modeling versatility.

We’ve seen many solution providers but this is the 1st time that someone reverts to us with a relevant answer that can model our reality. The demonstrated +70% productivity is more than what we were expecting in our most optimistic scenario.

Laurent Geron, CTO IONICS

 

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