APS4MFG vs Phoenix APS
APS4MFG
aps4mfg.comPhoenix APS
phoenixaps.comSide by side
| Figure | APS4MFG | Phoenix APS |
|---|---|---|
| Price from | €25/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Manufacturing Scheduling Software | 8.3 (#6) | 8.4 (#4) |
| Materials | Material-aware scheduling uses bills of materials, stock, incoming purchase orders, and existing allocations to account for component availability. | It checks bill-of-material availability using Fixed or Proportional and AtStart, Uniform, or AtEnd laws. |
| Purpose | APS4MFG is a finite capacity scheduler for Odoo that syncs manufacturing orders, schedules against production constraints, and publishes results back to Odoo. | Phoenix APS helps planners create feasible schedules across machines, people, and tools while respecting calendars, setups, precedences, and materials. |
| Support | The documentation lists [email protected] for help and says the team usually responds within one business day. | Users can contact the author for guidance and best practices during an industrial pilot. |
Plans
In their own words
Phoenix APS
Phoenix APS helps planners build feasible production schedules across machines, people, and tools while accounting for calendars, setups, dependencies, and material availability. It enforces capacity limits on machines, lines, and human skills, and models parallel, alternative, and sequential routings at operation level. Machines, operators, and equipment can be scheduled together. Calendar handling includes closures and working-time changes, while dependencies support finish-to-start relationships with configurable lags. Material checks use bill-of-material availability with Fixed or Proportional quantities and AtStart, Uniform, or AtEnd laws. Planners can change assignments and rules to see the impact; infeasible jobs can be parked with reasons and retried using targeted relaxations. The interface includes a Gantt timeline, operations table, quick filters, and a what-if solver. HTTP JSON endpoints let ERP or MES systems send master data and retrieve dated plans. The maker describes the approach as heuristic and rule-based, aimed at fast, explainable feasible plans, with optimization modules on the roadmap. A free beta evaluation installer is available for Windows, but its temporary license does not permit production use. The project is described as personal and non-commercial.