MangoGem APS Optimizer vs Schantt

MangoGem APS Optimizer is a finite-capacity scheduler for enterprise production planning and supply-chain operations. It combines planning and scheduling in one model, handling sequence setups, cleaning-in-process, tank planning, batching, multi-level bills of materials, and order pegging. Tank planning covers capacity constraints, partial fills, batch splits, coupled resources, blending, flushing, and cleaning in place. The optimizer can target up to five KPIs at once from more than 50 built-in options, using methods including sequencing, heuristic search, genetic algorithms, and machine learning. Teams can compare objectives through what-if scenarios and multi-objective scheduling. MangoGem says the system can handle dozens of resources and hundreds or thousands of activities, with offline, online, and real-time use. It supports machine, labor, and material constraints, multi-site scheduling, collaboration, and configurable access rights. Deployment is available on-premises or in the cloud, as self-hosted software or through the web. The maker says it integrates with ERP systems such as SAP and Microsoft Dynamics NAV, as well as MES and sensor data. Pricing is on request.

Schantt has no write-up on Specifiction yet; its figures are above.