APS Software for Manufacturing
Sequence work against the machines and people you actually have, and see which deliveries move before you promise a date.
Advanced planning and scheduling software sequences production against finite capacity: the machines, labor, and shifts you actually have, in the order the work has to run. Unlike MRP, which assumes capacity is unlimited, an APS produces dates the floor can hold.
Finite scheduling against real machine and labor capacity.
Most shops do not have a scheduling problem so much as a promising problem. The ERP computes a due date by subtracting lead time, the planner moves jobs around in a spreadsheet, and the floor finds out on Monday that three jobs want the same machine. An APS removes the infinite-capacity assumption. WorkCell schedules work orders against resources that have real capacity, an efficiency percentage, and a shift calendar, using the setup and run times on the routing rather than a flat lead time per part. A planner runs a proposal first, reads what it does to every other job, and commits it or throws it away. Because the scheduler sits on the same database as engineering, inventory, and the shop floor, it replans on actuals instead of on last week's assumptions.
Discrete and mixed-mode manufacturers running high-mix work through shared machines, where one hot job reshuffles the week and a promised date has to survive contact with the floor.
It is accurate the morning it is published and wrong by the first breakdown. Nobody else can run it, nobody can test a change against it, and when that person is out the plant schedules by whoever shouts loudest.
Backward scheduling from due date minus lead time will happily put six jobs on the same machining center on Tuesday. The plan is arithmetically correct and physically impossible, so the real sequence gets decided on the floor every morning.
A customer asks for two weeks instead of six. With no way to test the sequence, the answer is a guess, and the cost of saying yes, which is the four other deliveries that slip, only becomes visible after you have already said it.
Run time is on the routing; the two-hour changeover between unlike jobs usually is not. A plan that ignores setup understates load on exactly the machines that constrain the plant, and the gap resurfaces as overtime.
When a late casting lands, the honest response is to rebuild the plan. If rebuilding takes a day, it does not happen, so the published schedule keeps drifting from reality until a customer calls to ask about a part.
Finite capacity scheduling
Work orders schedule against resources that carry a capacity, an efficiency percentage, and a shift calendar with exceptions. The scheduler will not put two jobs on one machine at the same time, which is the entire point of the category.
Proposal runs before you commit
A planner generates a proposed schedule, reads what it does to every job in the plant, and then commits it or discards it. Nothing moves on the floor until someone decides, so testing a sequence costs nothing but attention.
Setup and run times from the routing
Each routing operation carries its resource, its setup time, and its run time. The load the scheduler sees is the load the operation actually puts on that machine, not a lead time averaged across a part family.
Machines and labor as separate constraints
Resources are typed, so a machine and the person who runs it are not the same constraint. Shifts, shift segments, and per-resource exceptions decide when capacity exists at all, which is where most overload hides.
Actuals from the floor, not from standards
Operators clock on to an operation and record quantities and scrap at the terminal. Labor tickets post against the resource that ran the work, so the next schedule starts from where the plant really is.
One database under the plan
The scheduler reads the same routings, work orders, and inventory as the rest of the system, and cost accumulates against the same job record. There is no nightly export into a scheduling tool and nothing to reconcile afterwards.
Finite capacity scheduling, proposal runs, and work order operations on the floor.
EngineeringRoutings carrying the resource, setup time, and run time each operation needs.
WorkforceShifts, shift segments, and exceptions that decide when capacity exists.
AnalyticsLoad and schedule reporting over the same records the scheduler plans on.
MRP answers what to make and buy and when, assuming capacity is unlimited. APS answers whether the plant can actually run it, in what order, on which machine. MRP gives you quantities and dates; APS gives you a sequence the floor can hold.
APS vs ERPThe scheduling inside most ERPs is a date calculator: start date equals due date minus lead time, with no check on whether the machine is free. APS is the constraint engine behind that date. In WorkCell they are the same system, so there is no plan to export and re-import.
APS vs MESMES records what happened at the operation: who ran it, how long it took, how many were good. APS decides what should happen next. They feed each other, because without actuals an APS keeps scheduling against standards that have quietly drifted.
APS vs SCMSCM plans across the network: suppliers, sites, distribution, where inventory sits. APS plans inside one plant, down to the operation and the machine. A shop with one building and forty work centers needs the second one, not the first.
Job shops pushing high-mix work through shared machining and fabrication centers.
Industrial EquipmentMade-to-order machinery where one long-lead subassembly dictates the build sequence.
Aerospace & DefenseLow-volume builds with long lead times, where one late forging moves a promised delivery.
Plastics & RubberMolding cells where tool changeover time is the real constraint on the week.
Medical DevicesValidated processes on dedicated equipment, where a sequence change carries paperwork.
The system APS plans inside: quoting, engineering, inventory, and costing on one database.
MRPDecides what to make and buy; APS decides in what order the plant can run it.
MESCaptures the actuals at the operation that keep the next schedule honest.
OEEMeasures the capacity you lost; APS decides how to spend what is left.
Is APS the same as the scheduling in my ERP?
Usually not. Most ERP scheduling calculates a start date by subtracting lead time from a due date and never checks whether the machine is free. APS schedules against finite capacity, so it refuses to double-book a resource. WorkCell does the APS work inside the ERP rather than beside it.
What is the difference between finite and infinite capacity scheduling?
Infinite capacity scheduling assumes a work center can absorb any amount of work on any day, so it produces dates that are arithmetically consistent and physically impossible. Finite capacity scheduling knows each resource has a capacity and a calendar, and pushes work out rather than overloading it.
Do I need an APS if I already run MRP?
They answer different questions, and WorkCell runs both. MRP decides what quantities to make and buy and when. APS sequences that work across real machines, shifts and setup times to produce a plan the plant can actually execute. Because both read the same routings, inventory and jobs, the dates the material plan promised and the dates the schedule can hit are compared against each other rather than discovered in a meeting.
Can I test a schedule change before committing it?
Yes. A planner runs a proposal, reads what the proposed sequence does to every other job, then commits it or throws it away. Nothing reaches the floor until someone decides. That is how you price a rush order honestly instead of guessing what it displaces.
Does WorkCell optimize the schedule automatically?
No. It schedules against the constraints you give it, which are capacity, efficiency, shift calendars, and setup and run times, and produces a feasible sequence. Proposal runs let a planner test a sequence before committing it, so the schedule is something a person chooses with the arithmetic already done rather than something a black box hands down.
How small does a shop have to be before APS is overkill?
The question is machine count and mix, not headcount. A cell running two part numbers does not need one. Twenty work centers, two hundred live jobs, and one shared bottleneck does, and plenty of shops well under a hundred people are already in that position.
One system instead of a standalone APS.
Send us your work center list and a week of real jobs, and we will tell you straight whether finite scheduling changes anything for you.