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MangoGem APS Optimizer

MangoGem APS Optimizer is a finite-capacity scheduler for enterprise production planning and supply-chain operations.

Place
#22 of 31
Score
5.8
MangoGem APS Optimizer's website

What MangoGem APS Optimizer is

MangoGem APS Optimizer is a finite-capacity scheduler for enterprise production planning and supply-chain operations. It combines planning and scheduling in one model, covering sequence setups, cleaning-in-process, tank planning, batching, multi-level bills of materials, and order pegging. Tank planning can account for capacity limits, 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 that include sequencing, heuristic search, genetic algorithms, and machine learning. Teams can examine scheduling trade-offs with what-if scenarios and collaborate with configurable access rights. MangoGem says it 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, along with multi-site scheduling. Deployment can be self-hosted or web-based, and on-premises or in the cloud. The maker says it connects with ERP systems such as SAP and Microsoft Dynamics NAV, as well as MES and sensor data. Pricing is on request.

Good

  • Combines planning and scheduling in one model.
  • Optimizes up to five KPIs simultaneously.
  • Supports machine, labor, and material constraints.
  • Offers what-if scenario analysis and multi-site scheduling.

Watch out

  • Pricing is available on request.
  • The maker describes the focus as enterprise operations.
  • The product page states no security certification.

Who it suits

MangoGem APS Optimizer suits enterprise production and supply-chain teams, including high-mix, low-volume operations, that need finite-capacity planning and scheduling. It may fit teams that need scenario analysis, multi-site scheduling, and configurable access rights.

Verdict

MangoGem APS Optimizer brings detailed capacity planning, scheduling, and scenario analysis into one system for enterprise operations. Pricing requires contacting the maker, so teams should request a demo or quote to assess fit.

Plans and prices

From MangoGem APS Optimizer's own pricing page, checked 5 Oct 2026.

All about pricing
PlanPriceWhat it gives you
Custom quotePriced on requestPricing not published on the pages reviewed; request a demo or contact MangoGem

The facts

Each one read from MangoGem APS Optimizer's own pages, with the date it was checked.

What it does

Collaboration
The product supports multi-user collaboration and configurable access rights.checked 4 Oct 2026
Collaboration and access
It supports multi-user collaboration and configurable access rights.checked 5 Oct 2026
Deployment
The product is offered for use on-premises or in the cloud.checked 5 Oct 2026
Integrations
The maker says it integrates with ERP and MES systems, including SAP and Microsoft Dynamics NAV, and can use MES and sensor data for bidirectional integration.checked 5 Oct 2026
Intended customers
MangoGem describes its focus as real-time APS, S&OP, and SCP solutions for enterprises.checked 4 Oct 2026
Optimization
The optimizer can optimize up to five KPIs simultaneously from more than 50 built-in options.checked 5 Oct 2026
Optimization methods
The optimizer uses multiple solvers and heuristics, including sequencing, heuristic search, genetic algorithms, and machine learning.checked 4 Oct 2026
Privacy
The demo form says collected contact data is used only to contact the requester by email or phone.checked 4 Oct 2026
Purpose
MangoGem APS Optimizer is a finite-capacity scheduler for production planning and scheduling.checked 5 Oct 2026
Scale
The optimizer can handle cases with dozens of resources and hundreds or thousands of activities.checked 4 Oct 2026
Scale and speed
MangoGem says it can handle dozens of resources and hundreds or thousands of activities, with offline, online, and real-time use.checked 5 Oct 2026
Scheduling methods
It uses multiple solvers and heuristics, including sequencing, heuristic search, genetic algorithms, and machine learning.checked 5 Oct 2026
Scheduling optimization
It can optimize up to five KPIs simultaneously from more than 50 built-in options.checked 4 Oct 2026
Security and compliance
The product page describes configurable access rights; the maker's privacy policy page is titled “MangoGem Data Privacy Policy,” and does not state a product security certification in the content reviewed.checked 5 Oct 2026
Services and support
MangoGem offers full solution services and distributes and implements the optimizer through value-added reseller partners that provide localized support and expertise.checked 5 Oct 2026
Support and services
MangoGem offers solution services and says customers can validate pilot feasibility using real data without integrations.checked 4 Oct 2026
Target customers
MangoGem describes the product for enterprise production and supply-chain operations, including high-mix, low-volume environments.checked 5 Oct 2026

The company

Founded
2002checked 23 Sep 2026
Headquarters
Waterloo, Belgiumchecked 23 Sep 2026

Money

Planning model
It combines planning and scheduling in one model and handles sequence setups, cleaning-in-process, tank planning, batching, multi-level BOMs, and order pegging.checked 5 Oct 2026
Production planning
It combines planning and scheduling in one model and handles sequence setups, cleaning-in-process, tank planning, batching, multi-level BOMs, and order pegging.checked 4 Oct 2026
Scenario planning
It supports scenario planning and analysis of trade-offs between scheduling objectives.checked 4 Oct 2026
Tank planning
Tank planning supports capacity constraints, partial fills, batch splits, coupled resources, blending, flushing, and cleaning-in-place.checked 4 Oct 2026

Where it runs

Scenarios
It supports what-if scenario analysis and multi-objective scheduling that can combine KPIs and analyze trade-offs.checked 5 Oct 2026

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