Many plants already have ERP, MES, and CMMS systems, yet they still manage production based on data that was current just a few hours ago. This isn’t a paradox. It’s the result of fragmentation. Each system collects its own data, but none of them communicate with the others in real time. The scheduler coordinates work sheets with the foreman over the phone. The maintenance manager reconstructs yesterday’s events from the technicians’ memories. The director receives a morning report compiled from four different sources, which rarely show the same information.
The systems are there. There is no shortage of data. What is missing is a single place where the operator, foreman, and director can see the same thing at the same moment.
AndonCloud was created for plants that are tired of piecing systems together with Excel. One platform, all data, every role—no switching, no reconciliation, no delays.
Many systems, no unified view
The average mid-sized manufacturing plant uses four to seven different digital platforms simultaneously. Each has its own interface, its own data format, and its own reporting logic. An operator reports a malfunction in one system. A maintenance technician sees the work order in another. The production manager checks OEE in a third. The COO tries to piece this all together into a comprehensive picture in a fourth—most often in Excel, manually, with a one-day delay.
According to an Oxmaint report (2026), the hidden cost of fragmented systems accounts for up to 34% of annual maintenance costs, manifesting as emergency parts orders, recurring failures, and unplanned downtime. Plants that have switched to an integrated approach have seen an 8% increase in production throughput, according to a study by Sandalwood Engineering & Ergonomics (2025).
A plant that learns of a downtime issue from the morning report loses time it will never get back. AndonCloud solves this problem through real-time monitoring—but to understand how, it’s worth starting with what exactly the term “single system” entails.
What does "one system" mean in practice?
AndonCloud isn’t just another tool to add to your stack. It’s a platform where all key operational roles in the plant work in one place—from the operator to the shift supervisor to the production manager—without having to switch between systems.
How many functions does AndonCloud replace? A comparison of systems.
AndonCloud replaces or complements the following types of systems:
— 100% of Andon system functionality
— 67% of MES (Manufacturing Execution System) functionality
— 60% of SCADA (Supervisory Control and Data Acquisition) functionality
— 60% of CMMS (computerized maintenance management system) functionality
— 53% of BI (business intelligence) functionality
— 56% of HMI (human-machine interface) functionality
— 38% of DSS (decision support system) functionality
How AndonCloud Integrates with an ERP System
AndonCloud does not replace an ERP system. It integrates with it. Data on orders, costs, and resources flows in both directions between AndonCloud and the ERP system, allowing management reports to use actual production data instead of manually entered estimates. It’s an integration, not a replacement.
When the shift manager, production manager, and production director see the same data at the same time, the number of issues arising from inconsistent or delayed data is significantly reduced. There are no more debates about whose numbers are correct. There is a single view of the plant, updated in real time.
MES Functions: Order Fulfillment Without Paper Forms or Phone Calls
MES systems manage what happens on the shop floor between the receipt of a production order and the finished product. They are directly linked to the shop floor’s operational structure. They encompass machines, equipment, sensors, and PLC controllers and enable the management of production data and its recording in a history log, as confirmed by independent studies on MES systems in Industry 4.0.
What the operator, foreman, and production manager see in real time
In AndonCloud, the MES module means in practice that every order has its own digital trail from start to finish. The operator sees what to produce and at what pace. The foreman sees real-time progress, which means they can react to deviations from the plan within minutes, not after the shift ends. The production manager sees deviations from the plan the moment they occur, rather than from the morning report.
Measurable Benefits of Integrating MES with CMMS in a Manufacturing Facility
The benefit for the facility is measurable: integrating CMMS with MES reduces maintenance costs by 15–20% while improving production efficiency by 10–25%, according to industry data from iFactory MES (2025).
SCADA Features: Plant Visibility Without Dedicated Software
Traditional SCADA is a system for monitoring and visualizing machinery. It collects data from devices, sensors, and PLCs, displays it to the operator, and allows for a response to alarms. It is essential in facilities with advanced automation. It is also typically expensive to implement, complicated to maintain, and isolated from the rest of the plant’s systems.
What the operational dashboard shows
AndonCloud takes over key SCADA functions for monitoring and visualization, which in many facilities eliminates the need to install a separate platform. The operational dashboard displays near-real-time statuses of all workstations, alarms, performance indicators, and sensor data. The industrial digital technology market reached a value of $176.9 billion in 2024 and, according to IoT Analytics forecasts, will grow at a rate of 11% annually over the next seven years.
AndonCloud as a SCADA solution for plants without existing infrastructure
For a plant that currently has no SCADA system, AndonCloud provides quick access to this functionality with a significantly shorter implementation time than a dedicated system. For a plant with existing infrastructure, it can supplement it with notifications, event history, and reports that SCADA alone does not provide.
CMMS Features: Maintenance as a Plant Knowledge Base, Not Just a Breakdown Log
In theory, a CMMS is a tool for managing service orders, maintenance schedules, and repair history. In practice, most plants use it as the digital equivalent of a foreman’s notebook: something broke, someone logged it, someone fixed it.
AndonCloud sees CMMS differently.
Modern maintenance management systems are no longer just tools for tracking orders. They are becoming strategic tools that drive efficiency and reduce costs by integrating IoT sensors, predictive analytics, and reporting (Maintenance World, 2024).
How an automatic service order reduces technician response time
In the AndonCloud CMMS module, every failure report can automatically generate a service order with an assigned repair procedure, a history of previous interventions on that machine, and a list of required parts. Provided that the system’s procedure database is kept up to date, the technician receives the full context before arriving at the workstation. No need to search for documentation or call a colleague to ask what work was recently done on that press.
Service knowledge in the system — what happens when a key technician leaves
The CMMS module also serves as the plant’s knowledge base—a place where knowledge about the machines remains, regardless of who leaves. When a key technician with ten years of experience leaves, knowledge about custom machine settings remains in the system, provided it was documented in real time in the work order history. A new employee doesn’t start from scratch: they benefit from their predecessor’s documented experience.
BI Features: Reports and Analyses Based on Real Data
Business Intelligence in manufacturing is more than just charts and dashboards. It’s the ability to ask the question, “Why do we always have more breakdowns on Wednesdays?” and get an answer based on historical data, not on the shift manager’s memory.
How to Set Up Recurring Reports in AndonCloud
AndonCloud collects data from every event on the shop floor: time of report, event type, workstation, response time, resolution time, and person responsible. Reports can be configured as recurring. The system sends them automatically at a set time, for example as a daily report after each shift or a weekly OEE summary for the director. The data for the reports comes directly from the shop floor, not from manual entries, which eliminates transcription errors and discrepancies between what the operator sees and what ends up on the spreadsheet.
What the plant sees after a month and a quarter of data collection
After a month of data collection, the plant can see, for example, which workstation generates the most reports during the third shift or at what cycle a given failure recurs, and plan preventive maintenance before downtime occurs. After a quarter, maintenance schedules can be planned based on actual machine failure cycles rather than the manufacturer’s calendar.
Who uses AndonCloud at the plant and how
To understand what implementing AndonCloud changes, it’s worth starting with what a day is like without it.
Operator. Reporting a problem without speaking and without looking for a supervisor
An operator at a workstation starts their shift without full information. They don’t know if the machine next to them broke down yesterday. They don’t know if the material that’s about to run out has already been ordered. When something breaks, they get up, look for a foreman, explain the problem, and return to their workstation a few minutes later—if they’re lucky. If they don’t speak Polish well, the explanation takes twice as long. The system doesn’t record this. Time slips away without a trace.
After implementation, the operator presses a single button. They don’t look for anyone. They don’t explain. They get back to work. That’s it.
Foreman. Managing the shop floor without walking around or asking questions
Before the implementation, the foreman manages the shop floor mainly by walking around and asking questions. He knows only what he has managed to see in the last twenty minutes. When something stops, he finds out from the operator—or doesn’t find out at all, because the operator decided he could handle it on his own. He fills out the shift report from memory after the shift ends, which means it’s half fiction.
After implementation, the foreman sees the status of every workstation on his phone. He knows about a problem before it has a chance to escalate. The report is generated from data the system has collected throughout the entire shift.
Maintenance Manager. No more reconstructing events from memory
The maintenance manager knows this feeling well. A call from the director at eight in the morning asking why line number two was down for forty minutes. Sifting through notes, questioning technicians, reconstructing the events of the previous evening, and giving an answer that sounds like an excuse rather than management. On top of that, somewhere in the plant there’s one technician who knows things about every machine that no one else knows. And everyone knows that if this person didn’t show up for work tomorrow, several things would come to a standstill.
Once the system is up and running, the maintenance manager has a minute-by-minute history of every incident. They can see which machine generates the most service requests and at what frequency. Repair procedures are built into the system and assigned to specific machines. A new technician doesn’t start from scratch—they start with a checklist. And answering the director’s question takes thirty seconds, not thirty minutes.
Production Manager: OEE Based on Data, Not a Spreadsheet
The production director makes decisions based on the data available to them. The problem is that in most SME facilities, this data consists of reports from the previous day, manually compiled by someone who rounds off what they can’t remember. OEE calculated from an Excel spreadsheet is OEE that reflects the accuracy of the person filling it out, not the reality on the shop floor.
After implementation, the director sees OEE in near real time—calculated from data the system collects automatically. He compares shifts, lines, and weeks on the same basis. He exports reports in PDF or Excel format directly from the dashboard. And he stops asking questions whose answers should be obvious.
A real-world example
A warehouse with thirty employees per shift, a high proportion of temporary and non-native English-speaking workers. Communication relies solely on verbal interaction—when stock runs low, an operator gets up and looks for the foreman. When a machine makes an alarming noise, someone calls for maintenance. A few minutes each time, which no one records and no one counts. Supervisors see the effects, not the causes.
For such a facility, we propose a specific solution: a wireless remote control with five physical buttons at each workstation. Out of stock, machine failure, need for a supervisor’s support—one press, one signal, and the right person receives a notification within seconds. On the monitors in the production hall, workstation statuses are displayed in Andon system colors—understandable to every operator, regardless of where they come from. No language barrier, no need to search for anyone in the hall.
The result we highlight: for the first time, the plant begins to see how long its downtime really lasts. Not because anything has changed on the shop floor—but because the system has started recording it.
Why integration is more important than any single feature
Isn’t it better to have the best SCADA system on the market, the best CMMS, and the best MES, rather than a single tool that covers each of them sixty percent of the time?
The answer depends on what you mean by “better.” If you evaluate each system in isolation—perhaps so. If you evaluate the plant as a whole—not necessarily.
The hidden cost of manually transferring data between systems
When technicians manually transfer alarms from SCADA to work orders in CMMS—or when finance staff manually reconcile maintenance costs with ERP—the resulting delays and error rates significantly diminish the operational benefits of each of these systems. According to Oxmaint (2026), data fragmentation across systems accounts for up to 34% of emergency maintenance costs. As a PwC report on the future of industrial manufacturing points out, promising operational strategies stall when systems cannot work together.
How to Get Started with AndonCloud Without Replacing Your Infrastructure
AndonCloud does not require your facility to abandon its existing infrastructure. In many cases, existing signal lights, wiring, and workstation buttons can work with AndonCloud without replacing any equipment. You can start with a single line and expand the system gradually—as we describe in detail in our article on the hybrid model.
Sources: Pérez-Lara et al. (2018), Tabim et al. (2021) — ScienceDirect, MES in Industry 4.0 · iFactory MES (2025) — CMMS integration with MES · Oxmaint (2026) — CMMS Integration with ERP, MES, SCADA, and IoT · Sandalwood Engineering & Ergonomics (2025) — Addressing System Fragmentation in Manufacturing · IoT Analytics / Smart Manufacturing Market Report (2026) · PwC (2026) — Industrial manufacturing's race to 2030 · Maintenance World (2024) — Five CMMS Trends to Look for in 2025
FAQ
Does AndonCloud fully replace an MES system?
It covers approximately 67% of MES functionality, including full production order management, real-time execution monitoring, and OEE reporting. For plants without an MES, it is a complete solution. For plants with an advanced MES, it can serve as a supplement, integrating with the existing system.
How does AndonCloud work with an ERP system?
AndonCloud does not replace ERP, but integrates with it. Actual production data—downtime, order fulfillment, maintenance costs—flows into ERP automatically, without manual entry. Management reports in ERP thus gain data based on facts, not estimates.
Does implementing AndonCloud require replacing existing infrastructure?
No. Existing signal lights, cabling, and buttons at workstations can, in many cases, work with AndonCloud without replacing the hardware. The system operates in a hybrid model—where a light is sufficient, the light stays. Where full analytics are needed, a digital panel is added.
How long does implementation take?
The first results are visible within weeks, not months. A pilot implementation on a single production line provides a realistic picture of the benefits before the plant decides to expand to other workstations.
Is the system suitable for foreign-language and temporary workers?
Yes—this is one of the key use cases. The operator reports a problem via a physical button or icon. They do not need to read Polish, understand the interface, or log in to the system. The language barrier ends with the operator, not the system.
What metrics does AndonCloud measure by default?
Real-time OEE (availability, efficiency, quality), downtime, response time to a report, MTTR, MTBF, number of events by type and workstation, production plan fulfillment, shift productivity, and comparisons between lines. The set of metrics is configurable for each plant.
