For years the world of IT (business information systems: ERP, MES, databases, office applications) and that of OT (Operational Technology: machines, PLCs, controllers, shop-floor systems) have lived as two separate universes, with different languages, priorities and managers. In modern SMT production this separation is no longer sustainable: the data the machines generate is too valuable to stay confined to the shop floor, and production decisions need information that only the machines can provide. IT/OT convergence is the process that makes these two worlds talk to each other, and the MES (Manufacturing Execution System) is its central hub. In this technical guide we look at how to integrate the SMT shop floor with the MES, from machine data to KPIs, through to OT network security. ElectrONIK Lab supports industrial electronics companies along this path throughout Italy, with the hands-on experience of an ASMPT Service Engineer and shop-floor IT integrator (about us).
1. IT/OT convergence: what it really means
IT/OT convergence is not simply "putting the machines on the network". It is the alignment of two technical cultures with different needs. OT prioritises continuity of operation, determinism and reliability: a machine has to produce without interruption and its cycles have to be predictable. IT prioritises data accessibility, standardisation, cyber security and scalability. Integrating the two worlds means bringing the data management capability typical of IT onto the shop floor, without compromising the operational reliability that OT requires.
In SMT practice, convergence runs through an integration layer that collects the data from the pick & place machines, the ovens, the printers and the inspection systems and makes it available to the business systems. On ASMPT lines this layer typically relies on the ASM OIB (Operations Information Broker) and on the industry standards (IPC-CFX, IPC-Hermes), which are the common language through which OT and IT speak to each other.
2. From machine data to the MES
The MES is the system that manages and executes production at shop-floor level: work orders, scheduling, progress, quality control, traceability. To do its job well, the MES needs a constant and reliable flow of data from the machines: how many boards have been produced, with what results, how much material has been consumed, which errors have occurred, how long the line has been down and why.
The data path is therefore one-way upwards (the machine publishes the events the MES collects) and two-way where coordination is needed: the MES distributes production orders and recipes to the machines, and receives progress confirmation back. The quality of this flow is everything: data collected automatically, standardised and in real time produces a reliable MES; data collected by hand, partial or late produces a MES that describes a production that does not match reality.
3. KPIs, OEE and dashboards
Once the data flows reliably, it becomes possible to calculate production KPIs objectively. The most important one for an SMT line is OEE (Overall Equipment Effectiveness), which combines three factors: availability (how much the line is actually in production compared with the planned time), performance (how fast it is compared with the theoretical rate) and quality (how many good boards out of the total). An OEE calculated on real MES data, not on estimates, is a precise compass for continuous improvement.
Dashboards make this data immediately readable: panels that show line status in real time, downtime in progress, OEE trends by shift and by product, the main causes of scrap. For a production manager this means moving from "collecting the numbers at the end of the month" to "seeing what is happening now and acting straight away". Integrated line data is also the basis for tackling downtime in a structured way, a subject we cover in more depth in the guides on ASMPT SIPLACE SMT line maintenance and on SIPLACE Pro programming.
4. Product traceability
Traceability is one of the main drivers of IT/OT integration in electronics. In regulated or highly critical sectors — automotive, medical, aerospace, industrial — it is often an essential requirement: for every board produced it must be possible to reconstruct the complete genealogy (which components, from which batches and reels, placed on which machine, with which parameters, with which inspection result).
IT/OT integration enables this traceability by linking the identity of the board — which travels along the line via IPC-Hermes — to the process events collected via IPC-CFX and centralised in the MES. The result is a queryable archive that serves both compliance (showing a customer or an authority how a batch was produced) and risk management: in the case of a defective component, the boards involved are identified precisely, enabling selective recalls instead of total production stoppages.
5. Industry 4.0 and connected production
All of this fits within the Industry 4.0 paradigm: the connected factory in which machines, systems and processes share data in order to optimise themselves continuously. For an SMT line, being "4.0" does not mean having isolated high-technology machines, but having integrated machines whose data feeds a cycle of analysis and improvement. It is the difference between owning powerful tools and using them as a system.
IT/OT integration is the technical prerequisite for reaching this level. Once the data is structured and accessible, possibilities open up that would remain impractical without integration: predictive analysis of downtime, automatic setup optimisation, correlation between process parameters and quality results. The digital maturity of the shop floor is built step by step, always starting from data quality.
6. Security and OT network segmentation
Connecting OT to IT introduces a subject that cannot be ignored: cyber security. A machine network that until yesterday was isolated becomes, once integrated, potentially reachable from the company network and — if badly designed — from external threats. Production machines are often not designed to be updated as frequently as an office PC, and downtime caused by a security incident has the same impact as a mechanical failure, if not worse.
The answer is network segmentation: separating the OT network from the IT network with controlled zones and barriers (following models such as the layered segmentation inspired by the Purdue logic), so that data can flow towards the business systems through controlled crossing points, without exposing the machines directly. Principles such as least privilege, access control and OT traffic monitoring make it possible to obtain the benefits of integration without opening production up to unnecessary risks. Integration done well is also secure integration: the two objectives are not in conflict, but have to be designed together from the outset.
7. From integration to automation and AI
The end point of IT/OT integration is also a starting point. When production data is collected, structured and reliable, it becomes the raw material for automation and artificial intelligence applied to the shop floor. It is possible to build automations that react to events (intelligent alerts, automatic material management, dynamic optimisation), and AI models that analyse historical data to predict failures, reduce scrap and suggest improvements.
Without integration, AI in production has no data to work on and remains a slogan; with solid IT/OT integration, it becomes a concrete lever. This is exactly the ground of ElectrONIK Lab's B2B AI integration and automation services, which build on the data infrastructure created by shop-floor integration. For the part more specifically tied to SMT lines — machines, OIB, support — the reference point is the SMT services. There is a single thread running through it: build the reliable data first, then the value that can be extracted from it. ElectrONIK Lab supports companies along this whole path, with remote support and on-site throughout Italy.