How PlanetTogether APS connects to Infor CloudSuite Industrial (SyteLine)
ERP connector (pull data, write plan back)
A secondary listing describes an ERP connector that pulls jobs, items, routings and work centers into PlanetTogether and returns the optimized schedule. PlanetTogether's own site names only Infor generally, so confirm the exact SyteLine version, the data access method and who builds the interface before you scope the project.
Database or IDO based extract (community practice)
SyteLine data is reachable through IDOs and the underlying SQL Server tables. Many scheduling interfaces extract job, job route, job material and work center data on a schedule, then write back start and finish dates through IDO updates. This is a common pattern, not a vendor-certified recipe, so agree the write-back fields explicitly.
What data moves
| From | To | Data | When |
|---|---|---|---|
| SyteLine | PlanetTogether | Released and planned jobs, routings, operations, work centers, calendars, item and material availability | Scheduled import, or on demand before a scheduling run |
| SyteLine | PlanetTogether | Customer orders and due dates that drive priorities | Each import cycle |
| PlanetTogether | SyteLine | Scheduled start and finish dates and operation sequence per job | Planner publishes the schedule |
| SyteLine | PlanetTogether | Labor and quantity completed from the shop floor, job status changes | Next import after transactions post |
Setting it up
- 1Decide the system of record for datesChoose whether SyteLine planned dates or PlanetTogether dates drive the shop floor, and which fields hold them. Without this decision planners fight over two schedules.
- 2Clean the routing and work center dataFinite scheduling exposes bad run times, missing setup times and work centers with no calendar. Fix these in SyteLine before the first import.
- 3Map jobs, operations and resourcesMap job and operation numbers, work centers, and resource groups to PlanetTogether resources and capabilities. Decide how alternate routings and outside operations are represented.
- 4Configure the importSet up the extract (connector, IDO or SQL view), the refresh frequency and the filter for which job statuses are pulled in.
- 5Define scheduling rulesConfigure optimization rules, priorities, frozen horizons and overlap logic in PlanetTogether with the planners who will own them.
- 6Build and test the write-backWrite dates back to a test SyteLine config first. Confirm the fields updated, that users with other edit rights are not overwritten, and that rescheduling does not loop.
- 7Pilot with one cell or lineRun the plan in parallel with the existing method for a few weeks and compare adherence before rolling out to all work centers.
What usually breaks
- !Standard run times in SyteLine are optimistic, so the first finite schedule looks infeasible or shows capacity that does not exist.
- !Write-back overwrites dates planners edited manually in SyteLine, which causes distrust unless a freeze rule or ownership rule is agreed.
- !Work center calendars and shifts are maintained in two places and drift apart after holidays or shift changes.
- !Jobs released late or split in SyteLine arrive after the schedule was published, so the plan is stale within hours without a frequent import.
- !Unit of measure and quantity per operation differences between item master and routing produce wrong durations.
- !Upgrades or customizations of job and routing tables break the extract if it reads tables directly instead of IDOs.
A private AI layer across both systems
Plan versus actual explanations
A private assistant reading both SyteLine job transactions and the schedule can answer why jobs slipped: late material receipt, a work center down, or a routing time that was never realistic.
Routing data quality review
Compare reported run times from labor transactions against routing standards and draft a list of routings to correct, for a planner to approve before anything is written to SyteLine.
Late order triage
Ask in plain language which customer orders are at risk this week and what is blocking them, with the underlying queries shown so the answer can be checked.
Try it here, free
SyteLine MRP vs APS Assessment
Answer ten questions about capacity, routing complexity and planning cadence to see whether SyteLine MRP is enough or an APS tool is worth evaluating.
When something else fits better
- SyteLine's own planning and scheduling tools may be enough if you run few constraints and mostly infinite-capacity MRP.
- A spreadsheet or visual board with a disciplined daily review can beat a poorly maintained APS for small shops.
- Other APS or MES scheduling products may fit better if your ERP data cannot be made clean enough for finite scheduling.
Frequently asked questions
Does PlanetTogether write the schedule back into SyteLine?
The connector pattern described in secondary listings pulls data from the ERP and writes the optimized plan back. Which fields are updated depends on how the interface is configured, so agree the write-back fields and ownership rules with the planners and your integrator before go-live.
Is the SyteLine connection certified by Infor?
PlanetTogether's own site names Infor in general terms. The detail on connector behavior comes from a secondary listing, so verify the current SyteLine support and version with PlanetTogether directly. Treat any IDO or SQL approach as an implementation choice rather than a vendor-certified recipe.
Can this run with SyteLine on-premise?
The scheduling logic does not depend on where SyteLine runs, but the extract and write-back do. On-premise gives direct database and IDO access inside your network. Cloud tenants usually need the ION API or other supported endpoints, so confirm what the interface uses.
Pairing documented at www.ki-syndikat.de/tools/planettogether/ . PlanetTogether APS is a product of PlanetTogether; Netray is independent and not affiliated with either vendor.