# PlanetTogether APS with Infor SyteLine (CloudSuite Industrial) > Source: https://netray.co/stack/planettogether-aps-infor-syteline > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: ERP Stack ## Short answer PlanetTogether is a finite-capacity scheduler that reads orders, routings and resources from the ERP, builds an optimized schedule and writes the result back. For SyteLine the connector pattern is pull from the ERP, schedule outside it, push dates and sequence back. Infor M3 is also listed as a pairing in secondary sources, but check PlanetTogether directly for what is currently supported. ## Erp Infor CloudSuite Industrial (SyteLine) ## Erp Key syteline ## On Prem true ## Product PlanetTogether APS ## Vendor PlanetTogether ## Category APS ## Integration **Method:** ERP connector (pull data, write plan back) **Detail:** 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. **Method:** Database or IDO based extract (community practice) **Detail:** 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. ## Data Flows **From:** SyteLine **To:** PlanetTogether **Data:** Released and planned jobs, routings, operations, work centers, calendars, item and material availability **Trigger:** Scheduled import, or on demand before a scheduling run **From:** SyteLine **To:** PlanetTogether **Data:** Customer orders and due dates that drive priorities **Trigger:** Each import cycle **From:** PlanetTogether **To:** SyteLine **Data:** Scheduled start and finish dates and operation sequence per job **Trigger:** Planner publishes the schedule **From:** SyteLine **To:** PlanetTogether **Data:** Labor and quantity completed from the shop floor, job status changes **Trigger:** Next import after transactions post ## Setup ### Decide the system of record for dates **Detail:** Choose whether SyteLine planned dates or PlanetTogether dates drive the shop floor, and which fields hold them. Without this decision planners fight over two schedules. ### Clean the routing and work center data **Detail:** Finite scheduling exposes bad run times, missing setup times and work centers with no calendar. Fix these in SyteLine before the first import. ### Map jobs, operations and resources **Detail:** Map job and operation numbers, work centers, and resource groups to PlanetTogether resources and capabilities. Decide how alternate routings and outside operations are represented. ### Configure the import **Detail:** Set up the extract (connector, IDO or SQL view), the refresh frequency and the filter for which job statuses are pulled in. ### Define scheduling rules **Detail:** Configure optimization rules, priorities, frozen horizons and overlap logic in PlanetTogether with the planners who will own them. ### Build and test the write-back **Detail:** Write 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. ### Pilot with one cell or line **Detail:** Run the plan in parallel with the existing method for a few weeks and compare adherence before rolling out to all work centers. ## Pitfalls - 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. ## Ai Layer ### Plan versus actual explanations **Description:** 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 **Description:** 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 **Description:** 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. ## Alternatives - 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. ## Faq ### Does PlanetTogether write the schedule back into SyteLine? **Answer:** 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? **Answer:** 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? **Answer:** 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. ## Source https://www.ki-syndikat.de/tools/planettogether/ ## Search terms planettogether syteline integration, planettogether infor, syteline finite capacity scheduling, syteline APS, infor cloudsuite industrial scheduling software, planettogether APS ERP connector --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json