Production Management
Production planning, output tracking, target monitoring, and daily production reporting.
Digitize production reporting, quality control, dashboards, and machine monitoring with a manufacturing platform designed to grow with your factory.
Production Dashboard
Plant 1 · Shift 2 · 14:00–22:00
Output
4,820
Target 5,200
OEE
80.1%
A 91.2 · P 88.6 · Q 99.1
Downtime
42m
3 stops this shift
Defect
0.9%
43 pcs rejected
Production Trend — hourly
pcs/hrHourly production trend rising from 62 to 91 percent of target.
Machine Status
Interface shown with illustrative shift data.
If any of these feel familiar, you're leaving efficiency — and profit — on the table every single day.
Your team spends hours typing production numbers into spreadsheets. One typo, and the entire report is wrong.
By the time management sees the report, the production problem has already cost you money. Slow data means slow decisions.
Transposed figures. Wrong formulas. Missing rows. Manual processes are error-prone — and in manufacturing, errors are expensive.
Each person builds their own version. No standardization. No single source of truth. Just chaos disguised as Excel files.
You're flying blind. Without live production data, you can't optimize, you can't respond, and you can't scale.
Downtime is discovered after the fact. There's no alert, no sensor, no system — just someone noticing the machine is off.
None of this shows up as a line item — it shows up as capacity you never knew you lost.
The first thing we do is measure it in your plant, so the number you act on is your own.
Most factories are not ready to jump straight to a full system. Each stage builds on the last, so nothing you set up early gets thrown away.
For factories still running on spreadsheets that want a more structured production process — without changing how the team already works.
Transform production reporting, quality tracking, and dashboards into a centralized web application your whole plant can access.
Connect machines and sensors for real-time monitoring and automated data collection — no more manual entry at the line.
Output, OEE, downtime, and defects on a single screen — updated as the shift runs, not compiled the morning after.
Production Dashboard
Plant 1 · Shift 2 · 14:00–22:00
Production Output
4,820pcs
92.7% of target
Production Target
5,200pcs
Shift 2 plan
OEE
80.1%
A x P x Q
Downtime
42min
3 stops
OEE Breakdown
438 of 480 min
vs ideal cycle time
4,777 good pcs
Production Trend
pcs/hr vs planHourly output stayed between 62 and 91 percent of plan, dropping to 45 percent at 18:00 during a line stop.
Defect
0.9% · 43 pcsMachine Status
3 running · 1 idle · 1 downInjection
Running
Injection
Running
Assembly
Running
Assembly
Idle 12m
Packing
Down 30m
Illustrative shift data. Layout and metrics are configured per factory.
These are running systems, not screenshots. Click any of them and look around before you talk to us.
Warehouse and delivery tracking
Open demoControl plan and FMEA documentation
Open demoManufacturing project control and reporting
Open demoIndustrial object counting
Open demoPoint of sale running on Google Sheets
Open demoDemo data only — nothing you enter there reaches a real production system.
We build the system to match how your plant already works — not the other way around.
Production planning, output tracking, target monitoring, and daily production reporting.
Defect tracking, inspection records, Pareto analysis, NCR, and corrective action.
Monitor availability, performance, quality, downtime, and production efficiency.
Real-time machine status, sensor data, alarms, and machine utilization.
Track production data, materials, processes, and quality information.
Generate management reports and production reports without manually consolidating spreadsheets.
When your data already lives in Google Sheets, we build the app on top of it: Apps Script backend, web front end, own login and roles. It runs inside your Google account — no server to rent, no data to move.
See how we build themNot every problem needs a server. When a team already runs on Google Workspace, we build a proper web app with Apps Script — multi-user, role-based, and deployed inside your own Google account. No hosting bill, no migration, and the spreadsheet stays yours.
The schema is defined in code and installed into the spreadsheet. Adding a column means re-running the installer, not rebuilding the file — existing rows are left alone.
Salted, iterated password hashes, lockout after repeated failures, expiring sessions, and per-role permissions checked on the server — so a cashier account cannot read what an owner account can.
FIFO stock layers, a stock card for every movement, and cost of goods stored on the invoice itself. Last month's margin does not change when this month's purchase price does.
USB or Bluetooth scanners, the device camera, a photo fallback when the browser blocks the camera, and manual entry. All four work interchangeably.
Profit and loss with expenses broken down by category, sales, purchase, and stock reports, charts drawn without any external library, and export to CSV, PDF, Google Sheets, or the printer.
A full point of sale on a single spreadsheet: cashier with printed receipts, purchasing with landed cost, warehouse transfers, stock opname, operating expenses, and a profit and loss report — four user roles, one Google account.
Demo accounts are listed on the login screen — click one to get in. Sample data only.
Where Apps Script stops — worth knowing before you choose it
Past that, the same application belongs on a web app with its own database — and we will say so before the project starts, not after.
Automotive suppliers carry documentation requirements that general production software ignores. We have delivered software to automotive customers, and the platform is designed to support structured automotive manufacturing processes.
svian.dev supplies the system that records and reports these processes. Certification of your plant remains yours to hold — we do not claim or issue compliance on your behalf.
Production
Line output, plan vs actual, shift handover records
Quality
Inspection results, defect classification, rework tracking
Traceability
Lot, batch, and process history down to the part
PPAP
Part submission documentation and approval records
8D
Structured problem solving with root cause and containment
CAPA
Corrective and preventive actions with verification
SPC
Control charts and process capability monitoring
OEE
Availability, performance, and quality per line
Maintenance
Machine status, downtime reason codes, work orders
Customer Complaint
Complaint intake linked to 8D and CAPA
Spreadsheets are easy to start but stop scaling. Traditional MES scales but takes a year and a budget to implement. We sit between the two on purpose.
| Capability | Excel | Traditional MES | svian.dev |
|---|---|---|---|
| Easy to start | Yes | No | Yes |
| Production dashboard | Limited | Yes | Yes |
| Real-time monitoring | No | Yes | Yes |
| Low implementation complexity | Yes | No | Yes |
| Runs on the Google Sheets you already use | Limited | No | Yes |
| IoT ready | No | Yes | Yes |
| Customizable | Yes | Limited | Yes |
| Affordable for growing factories | Yes | No | Yes |
“Traditional MES” refers to full enterprise MES deployments. Comparison reflects typical implementations, not any specific vendor.
We have no published customer stories yet. Rather than invent one, here are worked examples of the problems we build for — illustrations, not customer references.
6 yrs
In manufacturing operations
8 machines · 2 shifts
Output is written on paper at the machine, then retyped into a spreadsheet the next morning. Nobody knows the real number until the day is already over.
Operators log output at the line, so the shift summary and reject rate are ready the moment the shift ends.
3 lines · tier-2 supplier
A customer complaint needs an 8D response, but the production and inspection history behind that lot sits across four separate files.
Lot history, inspection records, and corrective actions live in one place, so the 8D is built from records instead of memory.
Continuous line · 3 shifts
Downtime goes into a logbook with no reason code, so the same stoppage repeats every week and nobody sees the pattern.
Stops are logged against reason codes as they happen, and the weekly Pareto shows which cause is actually costing the most hours.
Start where your factory is today and move up when the process is ready — nothing you set up early gets rebuilt.
For teams starting their digital transformation.
A real app on the Google Sheets you already run on.
Production management and manufacturing dashboard.
IoT, machine monitoring, integration, and custom deployment.
You get the number with the scope, not before it. Scope, hosting model, and timeline are confirmed in writing before any project starts. Read the FAQ
Changing how a plant reports production is a real decision. Here is what protects you if it does not work out.
You see the agreed scope, the deployment model, and the timeline before implementation starts. Nothing gets built against a moving target.
Begin with the Excel system or a single production line. When the process is stable, scale up — the work you already did carries over instead of being rebuilt.
Production and quality data export to Excel and PDF at any time. Your records stay yours, so leaving is always cheaper than staying out of obligation.
If production data cannot leave the plant network, the system deploys on your own server instead of the cloud. Decided with you, in writing, before the project starts.
No obligation — you get the scope and the number before you decide.
No year-long rollout and no big-bang cutover. You get a scoped timeline before anything starts.
We start from how your plant reports production today — the forms, the shift routine, the terminology. That becomes the specification, so the system matches your process instead of replacing it.
Screens, roles, and reports are configured to the scope we agreed, then deployed to the cloud or to your own server. Your existing Excel history is imported so the team does not start from an empty system.
Your team runs the system on the floor with onboarding support. When the process is stable, machine monitoring and IoT can be added on top — without rebuilding what already works.
14-day free trial on Web App · No credit card required
Yes. Many factories start with the Excel production system because it needs no installation and no change to how the team already works. It gives you structured daily reporting and KPI calculation first, so the data is already organized by the time you move to the web app.
Tell us how your plant reports production today. We will show you what the same process looks like in a system — and what it would take to get there.