Product tour

See your plant move. Test the plan. Then commit.

Planning software doesn’t have to look like a spreadsheet from 1998. Unbrick shows your shop as it is, lets you try changes on the whole plan before anyone touches the floor, and keeps every number tied to the record behind it.

The plant map

Your plant, moving

Press play. The last eight weeks replay from your labor records, then the plan carries every lot forward through your departments. Each dot is a lot; click one to open it.

The plant map in 3D: each department is a tower that rises with the lots waiting there; dots are lots, colored by whether the plan finishes them on time
Demo Precision Works, a synthetic plant. Towers rise with the work waiting; red dots are late against the plan.

History, then the plan

Where every lot was each day, from labor records, and where the plan takes it next. Scrub to any day, or play it at the speed you like.

Your floor, your layout

The first layout is drawn from your routings. Drag departments over a picture of your floor plan and save it for everyone.

Load you can see

Each department fills from pale to blue to red with that day’s work against its capacity. Click it for the lots there and what runs next.

Side by side

Two plans, playing in step

Put today’s plan beside a staffing scenario or an engine’s proposal and play both. Badges on each department show where fewer lots wait. It’s the quickest way to show a plant manager what a change actually does.

  • Today’s plan, a saved scenario, or any engine’s proposal
  • The same days and the same history on both sides
  • Nothing changes until a planner adopts it, with a reason
Two plant maps side by side: today’s plan and a crew allocation proposal, with badges showing ten fewer lots waiting at inspection
Synthetic demo plant.
Order journey

“Why is this order late?” in one picture

Click any order line. You see every lot behind it, the components and stock that feed those lots, what each one has done and what the plan says comes next. The lots that set the ship date are marked, and the reason is spelled out in plain words.

Then ask. One click opens the assistant with the question filled in. It answers from the same records and cites them.

An order journey: the assembly lot and its component lots on a timeline, worked steps solid, planned steps outlined, with the need date and today marked
Synthetic demo plant; customer names are invented.
Plan engines

Solvers that show their work

Start with a rule your planners can predict. Add solvers as the shop grows. Every engine plugs into the same plan, and none of them gets the last word.

1

Propose

An engine suggests an order of work, or which cross-trained people to move, and says what it aimed for and what limited it.

2

Rerun the whole plan

The proposal is replayed through the same finite plan as everything else. No solver is taken at its word.

3

Score it

Order lines on time and late, days late, what moved inside the frozen window, and why each lot moved.

4

A planner decides

Adopt it with a reason, on record, or don’t. If a solver ever fails, the plan falls back to the simple rule and says so.

The engines today

From a rule anyone can follow to mixed-integer solvers

Due date first

The default. Hot, then expedite, then the earliest need date.

Least slack

A published dispatching rule: what’s at stake per day of work, discounted by slack.

Bottleneck sequencer

Google OR-Tools CP-SAT orders the work at your top constraint to cut weighted lateness.

Crew allocation

HiGHS finds which cross-trained people to move between departments, and for how long.

Open-source solvers (Apache-2.0 and MIT), running on ordinary CPUs inside your deployment. Your data goes to no solver service.

A crew allocation proposal: lines on time, lines late and total days late before and after, how it decided, and the solver report
Synthetic demo plant. The figures describe the simulator, not a customer.
Sequence board

Rearrange the bottleneck, see what it does

The order work runs at one department over the next weeks. Drag lots to try another order. Work inside the frozen window is locked, because the floor is already on it.

Preview reruns the whole plan and shows whose orders gain and whose slip. A planner can make it the order, with a reason.

The sequence board for one department: locked lots inside the frozen window, then lots that can be moved, with their planned bars and need dates
Synthetic demo plant.
Every day

The rest of the toolkit

Flow

Where work goes next, department by department, in the plan or over recent weeks. The thick bands show where the hours pile up.

Load by week

Every department, every week, against its capacity. Click a week to open the sequence board.

Staffing scenarios

Add people, move them, add a shift or overtime, and see when past due recovers. Capacity splits into people, hours and efficiency, from your labor records.

Throughput

What can ship today, what’s nearly done for late orders, what has stalled, and where one setup could serve several lots.

Planned orders

The new lots it would take to cover demand nothing covers, and “when could we have 50 more?”, answered from what the plan leaves free.

Actions

One list each morning: ship, restart, review a hold, release, move an ERP date. Anything inside the frozen window is marked.

The flow view: departments in flow order with bands showing standard hours moving from each department to the next
Synthetic demo plant.

Every dot opens a record

Lots, labor, routings, orders. Nothing on a picture is there for decoration, and nothing is estimated without saying so.

Drawn in your browser

No map, chart or font service is called. It works on the old PC by the shop floor, hosted or on your own server.

Measured on your data

The engine backtest replans from your earlier days and compares deliveries, date error and day-to-day churn. We don’t quote demo results as yours.

See it with your own eyes

A 30-minute demo on the synthetic plant

We play the plant map, follow a late order to its cause, run an engine and adopt it, then show you how the same thing runs on your data in a 30-day pilot.

  1. WatchYour plant moving: history, then the plan.
  2. Ask whyOne late order, traced to the lot that sets its date.
  3. Try a changeA solver proposal, scored on the whole plan.