Nu orice „software OEE" e același lucru. Sunt 5 categorii clare, fiecare cu filozofie şi compromis diferit.
Categoria 1: Dashboard pur OEE
Filozofia: Arată cifrele OEE. Punct. Tooluri ca Vorne, Evocon.
Plus: implementare rapidă, UI frumos. Minus: datele nu duc niciodată la acțiune pentru că nu ai integrare CMMS.
Categoria 2: Modul MES
Filozofia: OEE e un add-on la MES-ul tău (Siemens Opcenter, Wonderware).
Plus: integrare ERP adâncă. Minus: 12+ luni de implementare, licență scumpă, dependent de IT.
Categoria 3: Şablon BI tool DIY
Filozofia: Power BI/Tableau + schelet Excel.
Plus: ieftin, flexibil. Minus: tu eşti responsabil de tot, collection, validation, alerts. Minunat pentru data scientist, oribil pentru operator.
Categoria 4: Platformă de date IIoT
Filozofia: Date brute de la PLC-uri (AWS IoT, ThingWorx). OEE se calculează downstream.
Plus: scală masivă. Minus: 6 luni setup, necesită data engineer, nu e plug-and-play.
Categoria 5: Platformă integrată OEE+CMMS
Filozofia: OEE şi mentenanță într-un UI nativ. Eveniment de pierdere creează automat ordin de lucru.
Plus: buclă închisă de la date la acțiune, implementare rapidă (4 ore cu CV). Minus: categorie mai nouă, mai puține nume „enterprise". Fabrico e exemplul de top.
Categorie, Conectată la „leac"?, Uşurinţă de utilizare, Viteză de implementare
Pure-Play OEE, Nu, Mare, 1 săptămână
MES Modul, Parțial, Mică, 12+ luni
DIY BI, Nu, Mică, 1-3 luni
IIoT Platformă, Nu, Mică, 6+ luni
Integrată OEE+CMMS, DA, Mare, 4 ore
Un instrument pure-play OEE e un termometru. Îți spune că mașina are febră, dar nu o tratează.
O platformă integrată OEE+CMMS e doctorul. Pune diagnostic şi prescrie tratamentul într-un singur flux.
Pentru majoritatea uzinelor, „cel mai bun" software OEE e cel care închide bucla valorii în cele mai puține trepte. Fabrico e exemplul de top de platformă integrată OEE+CMMS.
Once you know which category fits, compare the vendors on your shortlist with the same questions. Ask each one to answer for a real line in your plant, not for a demo data set.
For the full 10-criteria scorecard, a worked OEE check on one shift and the ROI method, see our guide on how to evaluate OEE software.
| Criterion | What to ask | Why it matters |
|---|---|---|
| Data capture | Can it read PLC signals, add sensors to old machines and cover manual lines? | One method rarely fits every machine. |
| Time to first data | How long until one line shows live data, and who does the work? | Until then, losses are still counted by hand. |
| OEE math | Can it show the math behind each OEE number? | Two tools can give the same shift a different OEE. |
| Stop reasons | Can operators tag the cause of a stop on a tablet at the line? | A stop with no cause shows lost time, not what to fix. |
| Reports | Can you see OEE by line, machine and shift, and open the stops behind it? | A plant average hides the worst machine and shift. |
| Work orders | Can a technician start a work order from a stop, on a phone or tablet? | Retyping stops into another tool loses detail and time. |
| ERP link | What data moves to and from your ERP, and who keeps it working? | Orders and products usually start in the ERP. |
| Cloud security | Where is the data hosted, who can see it, and which ISO audits has the vendor passed? | IT will ask this before the first machine is linked. |
| Total cost | What does the first year cost in full, with hardware, setup and training? | The license is only one part of the total. |
For a fair cost comparison, ask every vendor for a written quote that covers one pilot line end to end, plus the price of each extra line. Our guide to OEE software pricing explains what drives the total.
On hosting and security, Fabrico hosts data in the AWS EU region, encrypts it at rest and in transit, and holds ISO/IEC 27001, ISO/IEC 20000-1 and ISO 9001 certificates.
Give each vendor the data from one real shift and ask them to show how the software turns it into an OEE number. Check the result by hand with the OEE formula, then ask about these four inputs.
Planned time: are breaks, meetings and hours with no orders removed before OEE is calculated?
Ideal cycle time: is it the design speed or the best demonstrated speed, and can it differ by product? If it is set too slow, performance can read above 100%.
Micro-stops: what is the short stop threshold? Stops shorter than it lower performance, and longer stops lower availability.
Changeovers: are they counted as stop time or removed from planned time? Removing them makes OEE look higher with no change on the floor.
The data source decides how complete the stop list is and how much setup each machine needs. Many plants need more than one source to cover every line.
| Method | Best for | Watch for |
|---|---|---|
| PLC and machine signals | Machines whose PLC already reports run state and part counts | Old or locked PLCs may need extra setup work, and a run signal shows that a machine stopped, not always why. |
| Add-on IoT sensors | Older machines with no usable PLC | A sensor reads a simple signal, such as power draw or a part count, so the operator still adds the stop reason. |
| AI cameras | Manual and hybrid lines with no machine signal to read | Each camera needs a clear view of the work area, and the team should know what is recorded and why. |
Ask whether all three sources feed the same stop list and the same OEE, so a PLC line and a manual station can be compared in one report. In Fabrico's downtime tracking software, stops are logged automatically from the PLC, an IoT sensor or a camera, and the operator tags the cause on a tablet.
Fabrico's cameras detect when a line stands still, including manual and hybrid stations, and Inefficiencies zoom-in links each stop to a short video clip of that moment. See how each connection method works in our machine monitoring software.
Feature lists look alike from one vendor to the next, so compare how each product handles the same situations. These steps keep the comparison fair.
Shortlist by category. Use the five categories above to drop the tools that cannot reach your goal, then compare only what is left.
Run the same demo script. Ask every vendor to show a micro-stop, a changeover, a breakdown that needs a technician and a manual station with no machine signal.
Score right after each demo. Rate every vendor on the checklist above with the same weights, before the next demo blurs the details.
Watch for red flags. OEE shown as one number, not split into availability, performance and quality; stop reasons entered only after the shift; reports that only work in a spreadsheet.
Ask what is live today. In Fabrico, for example, the AI Assistant answers questions from manuals and maintenance history today, while the AI Agent is planned and production planning is on the roadmap.
Call a reference with similar lines. Ask how long setup took, whether operators kept tagging stop reasons after the first weeks and what they would do differently.
Run the pilot on one line, agree the success criteria before it starts and give it enough time to cover every shift and several changeovers. By the end, it should give you five results.
A week-by-week pilot plan is in our guide to evaluating OEE software.
Live data from one line: stops and counts arrive every shift with no manual fixes.
A baseline OEE: the starting OEE for that line, checked by hand against one shift's planned time, ideal cycle time and counts.
The top 3 losses by cause: the three causes that cost the most time, based on stop reasons tagged by operators, not guessed afterwards.
Operator adoption: operators tag stop reasons during the shift, and the share of stops without a cause falls week by week.
A link to maintenance: technicians open work orders from the logged stops that need a repair.
Before you add lines, collect the ideal cycle time for every product on the next lines, a stop reason list agreed with operators and the capture method for each machine: PLC, sensor or camera. Then name one owner per line who reviews OEE every week.
With Fabrico, a pilot site is operational in days, and most customers see ROI in 3 to 6 months. For OEE with hardware, connecting the devices takes about 1 month and the full rollout 3 to 4 months.
Our OEE software shows OEE live by line, machine and shift.
Results from Fabrico customers:
Care e costul mediu al unui software OEE?
Pure-play de la $200/mașină/lună. MES de la $50k/an + impl. DIY de la $0 (timpul tău). Integrat OEE+CMMS de la €30/utilizator/lună, de obicei sub €2k/lună pentru o uzină de 100 active.
Cum ştiu că suntem gata pentru software OEE?
Dacă ai 1 activ care generează 40% din pierderi şi nu ştii exact de ce, eşti gata. Începe cu un pilot de 30 de zile pe acel activ.
Cloud sau on-prem?
Cloud pentru 95% din cazuri. Mai ieftin, setup mai rapid, fără povară IT. On-prem doar dacă ai cerință regulatorie pentru mediu air-gapped.
Categorisirea nu e un scop în sine. E un instrument pentru a respinge rapid 4 din 5 opțiuni şi a te concentra pe cea potrivită.
Pentru majoritatea uzinelor care vor date OEE şi acțiune de mentenanță într-un singur produs, alegerea e platforma integrată OEE+CMMS.
Rezervă o demonstrație personalizată Fabrico azi.
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