MangoGem
| Société anonyme (SA) | |
| ISIN | 🆔 |
| Industry | Software |
| Founded 📆 | 24 June 2002 |
| Founder 👔 | |
| Headquarters 🏙️ | Waterloo, Belgium |
Area served 🗺️ | Worldwide |
| Products 📟 | MangoGem APS Optimizer |
| Members | |
Number of employees | |
| 🌐 Website | www |
| 📇 Address | |
| 📞 telephone | |
MangoGem is a Belgian software company that develops advanced planning and scheduling (APS) software for industrial and operational environments.[1] The company is headquartered in Waterloo, Walloon Brabant, Belgium, and operates as a public limited company (société anonyme).[2]
History
According to public company registries, MangoGem was founded on 24 June 2002 and registered in Waterloo, Belgium.[2] Since its creation, the company has focused on the development of software for production planning, scheduling, and operational optimization in complex environments.[3]
Trade publications have reported on MangoGem's long-term activity in the field of advanced planning and scheduling, highlighting the evolution of its software capabilities over time.[1][4]
Products
MangoGem APS Optimizer
MangoGem APS Optimizer is an advanced planning and scheduling system designed to generate finite-capacity production schedules while accounting for real-world constraints such as machine availability, labor resources, materials, and setup times.[5][4]
Industry publications describe the software as suitable for complex scheduling problems and scenario-based planning, enabling users to evaluate alternative production strategies and react to operational changes.[1][6]
Technology
MangoGem describes its solution as a constraint-based, finite-capacity scheduling system capable of modeling multiple resources and operational rules.[5] Technical coverage has associated the software with the use of heuristic and metaheuristic optimization techniques for solving large-scale industrial scheduling problems.[7]
Applications
According to professional and technical publications, MangoGem's software is applied in manufacturing and operations environments characterized by complex workflows, multiple constraints, and frequent replanning needs.[4][6]
References
- ↑ 1.0 1.1 1.2 "MangoGem launches enhanced APS scheduling capabilities". DC Velocity. 28 March 2019. Retrieved 19 December 2025.
- ↑ 2.0 2.1 "MangoGem (SA) – Company Profile". Companyweb. Retrieved 19 December 2025.
- ↑ "Who are we?". MangoGem. Retrieved 19 December 2025.
- ↑ 4.0 4.1 4.2 "Optimize scheduling with this AI-based system". Chemical Engineering. 1 May 2019. Retrieved 19 December 2025.
- ↑ 5.0 5.1 "MangoGem APS Optimizer". MangoGem. Retrieved 19 December 2025.
- ↑ 6.0 6.1 "Advanced APS software improves complex scheduling". Global Trade Magazine. 1 April 2019. Retrieved 19 December 2025.
- ↑ "Scheduler uses AI-assisted optimization techniques". Industrial Plant & Equipment. 9 April 2019. Retrieved 19 December 2025.
External links
This article "Mangogem" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Mangogem. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
