Superior by Science!
MangoGem APS Optimizer differs from traditionnal single project planning software in than in can handle multiple and complex projects at the same time, automatically sharing the available resources between the projects. In this context, projects can be anything from production orders, events to organize, construction works, ... Projects also do not need to be sequential : graphs of dependencies or time constraints are easily modeled.
Superior by Science!
If you want to improve performance, improve efficiency and reduce costs, MangoGem APS Optimizer is for you. If you want to migrate from messy spreadsheets, or are stuck with hard to implement complex programs, MangoGem APS Optimizer is for you.
MangoGem APS Optimizer is a powerful Advanced Planning and Scheduling system including a versatile scheduling optimizer. MangoGem APS Optimizer is simple to use but can handle large and complex problems in areas such as multiple projects planning, manufacturing, event organization, routing, maintenance, staff assignment, software development, ...
MangoGem APS Optimizer is innovative, using the most recent advances in the science of operations research to tackle challenging real-life domain-specific cases and generic problems.
MangoGem APS Optimizer is a multi-resource scheduler. Most schedulers can only handle one type of resource, or only a single resource per activity. MangoGem APS Optimizer can handle multiple instances of equipment, people, consumables, tools, locations ... and can also combine several resources together. Any activity can have multiple modes to closely model reality.
MangoGem APS Optimizer is also a multi-objective and multi-criteria scheduler. It does not just optimize one single Key Performance Indicator (KPI) at a time, e.g. minimizing makespan but with many setups or bad resource utilization, but can combine several KPIs together, produce Pareto–optimal schedules and analyze objective trade-offs. Many objectives can be selected together such as makespan, deadline satisfaction, Just In Time, resource utilization, consumables usage, activity switches, cycle time, ... MangoGem APS Optimizer can also help you analyze « what if » scenarios without effort.
MangoGem APS Optimizer does not use a single “one size fits all” solver method, such as simulation, simple dispatch rules or a search heuristic.
MangoGem APS Optimizer includes many solvers and heuristics and, depending on an analysis of the case at hand, it will try and apply many methods to find the one that produces the best results. MangoGem APS Optimizer includes sequencing, heuristic search, genetic algorithms, machine learning, ...
MangoGem APS Optimizer can be used offline, online and even in real-time. It can handle large cases, with dozens of resources, and hundreds or even thousands of activities. In order to create close-to-optimal solutions very fast, MangoGem APS Optimizer can also used parallel multi- threaded solvers, and thus benefit from modern multi-core computing hardware.