A schedule that holds up when the week doesn't.
APS schedules from your ERP around what each machine can take. When work slips, your planner picks a checked fix.
Option · pull JOB-4468 forward to Wednesday on WC-11, so JOB-4471 grinds Thursday.
Illustrative example. You're the planner: nothing moves until you approve.
Your ERP has the routings. It doesn't have a schedule anyone believes.
In the shops we talk to, the real schedule lives on a whiteboard, in a spreadsheet and in the planner's head. The ERP's dates rarely account for what each machine can actually take, so they're stale by Tuesday. When a vendor slips, the re-plan happens over the phone, and nobody writes down why.
That works until the planner takes a week off, because most of the real schedule goes with them.
Job shops that schedule on a whiteboard, a spreadsheet or memory.
- people, roughly
- 25 to 150
- already in place, and staying
- An ERP
- in the routings: plating, heat treat, coating
- Outside processing
In these shops the planner is the person keeping the ERP, the spreadsheet and the phone calls in step.
From your routings to a schedule the floor can run.
Example
A heat-treat vendor moves a ship date by two days. APS ties the email to JOB-4471, re-runs the week, shows that grinding and inspection now land after Friday's due date, checks whether JOB-4468 can move forward on the grinder, and puts the option in front of the planner, who decides whether anything moves.
Connect
APS reads through one route you already have, an export or an API, and writes nothing back.
Match
Job numbers, timestamps and what "due" means get matched across your sources. Gaps get flagged before anything is planned.
Schedule
A constraint solver builds one schedule that respects what each work center, shift and outside vendor can take, and the whole shop works from it.
Detect
When a machine goes down or a vendor slips, you see the jobs and promises at risk, the sources behind the alert, how fresh the data is and what's still unknown.
Options
Each recovery option is worked out on a copy of the schedule: re-sequence, split, expedite or move the date. The solver checks it against your constraints and shows the trade-offs, while the live schedule stays as it is.
Decide
The planner picks one, edits it or rejects them all. APS doesn't change ERP records or release work on its own.
Record
Who decided, what was done and what happened next. Promise dates get scored against ship dates, and useful overrides become shop rules you approve and can roll back.
Evidence and scope
When the data can't support a call, APS says so.
It marks the gap "insufficient evidence" and assigns someone to fill it. It won't put a made-up probability on a late delivery, and every schedule change states which constraints were actually checked.
What it doesn't do, yet.
- ×Write to your ERP
- ×Message vendors
- ×Release work to the floor on its own
- ×Plan across several sites
- ×Compare your shop with other shops
Some of these may come later, and each would ship with approval controls.
What APS needs from your data.
Thin data doesn't stop a pilot. It narrows what APS will claim, and it tells you which gap to close first.
To see which work is at risk
- Job identity, the same across systems
- Due dates, with an agreed meaning
- Current status of each job and operation
- Dependencies between operations
- Timestamps you can trust
To repair the schedule
- Remaining work on each job
- Which resources can run each operation
- Capacity calendars and shifts
- Precedence rules
- Material, tooling, labor and outside-processing constraints
A paid pilot on one site, one workflow and one data route.
-
01
Readiness
We confirm the data classification, hosting, sample data, buyer, champion and scope.
-
02
Baseline
We reconcile your records and measure how scheduling and re-planning work today.
-
03
Shadow
APS schedules alongside your planner, without changing anything on the floor.
-
04
Assisted
The planner works from the APS schedule with approvals switched on. We log actions, overrides and failures.
-
05
Review
We review use, evidence and cost together, then continue, narrow the scope or close.
We propose four to six weeks of operation once data and deployment are ready, and confirm the timetable after qualification. We set success thresholds with you after the baseline exists.
We agree the commercials before work starts: an implementation fee, a recurring pilot fee and any deployment or support charges. We don't guarantee delivery or performance, and we don't promise a setup time.
Permission for a case study is optional, agreed separately, and never part of the price.
What we measure
- Time spent reconciling job status, and time from an alert to an accountable owner
- Alerts your team rated actionable, not actionable or unresolved, and late jobs APS missed
- Time to an accepted decision, and the actions actually taken
- Data freshness, matching errors and availability
- Delivery against the original and the revised promise dates
What planners and owners ask first.
No. APS reads from the ERP you run and plans on top of it. The ERP stays your system of record.
The usual complaint about ERP scheduling modules is that keeping them current takes longer than the work, and the floor stops believing what they print. APS re-plans from the same ERP data when something changes, shows a few checked fixes with what was checked, and your planner picks one. During the pilot it runs beside your board, so you can compare the two.
APS starts from what your ERP already holds. Where the data is too thin to support a call, it says so and names the gap to close first. The pilot doesn't change how your floor works.
That's the idea. APS builds the finite-capacity schedule your planner works from and keeps it current when the week changes. During the pilot it runs beside your current method, so you can compare.
Each pilot starts with one read-only route, chosen with you after we've looked at your data. We don't claim to connect to everything.
No. Rules and a constraint solver build the schedule and decide what's feasible. AI reads updates like vendor emails, finds sources and explains options. The planner decides what happens.
Not in a pilot. Every change is a proposal the planner approves. Later, one narrow kind of action, such as re-sequencing inside one cell within set limits, can earn the right to run with notice. That happens on your plant's own record, and only when someone at your company grants it.
Inside the boundary you approve, on self-hosted inference. Job data doesn't go to a public AI service.
Tell us how you schedule today.
or write to info@quogen.ai
We reply to every message ourselves. If we're not the right fit, we'll say so, and usually suggest who is.