Automation and robotization of production processes and the role of CMMS

Automation and robots in production are now practically the foundation of modern plant operations. However, simply installing robots and machines doesn’t solve all problems. Managing their operation, reliability, and availability becomes crucial. CMMS provides crucial support here – the system allows for organizing knowledge about technical condition, planning maintenance, and logging events. Combined with IoT, it also enables the implementation of a predictive strategy. What does CMMS integration with industrial automation look like in practice?

Automation – a new challenge for UR

While automation undoubtedly offers numerous benefits for production, it’s also important to remember that this approach introduces a layer of additional complexity to the plant. PLCs, robots, actuators, vision systems, communication networks, and control software—each of these components plays a crucial role. The failure of even one of them can paralyze the line. As a result, the traditional approach, based on repairing only when something breaks, is no longer sufficient. Missed deadlines, lost raw materials, and overtime costs quickly impact the company’s bottom line. Therefore, a different approach to maintenance is needed. The maintenance department in an automated plant should be proactive and predictive, rather than reactive. To achieve this, appropriate technical support is also essential, and CMMS systems play a crucial role here.

Automation – a new challenge for UR

CMMS – information center about the machinery park

How can CMMS be used in the context of automation implementation? This type of software can have various functions. However, the main one is acting as a complete repository of operational and service data. What does this mean? In practice, it provides access to a unified equipment catalog, along with assigned manuals, repair history, maintenance schedules, and spare parts records. It’s worth noting that as automation grows, so does the amount of data. As automation grows, so does the need to organize it. CMMS comes to the rescue. The system allows for assigning a unique identifier to each component of the installation—a robot, a drive axle, or sensors. This allows for tracking of operational history at the component level, not just the entire machine. Implementing a CMMS therefore becomes the foundation for informed, responsible availability management.

Integrating CMMS with IoT and sensors – from data to knowledge

One of the greatest benefits of automation is the ability to continuously monitor operating parameters. Sensors such as vibration, temperature, motor current, and cycle count generate valuable signals that can be used in automated management. It’s worth noting, however, that signals alone aren’t decisive. A platform is needed to distill them into a comprehensible, standardized form. This is where the CMMS and IoT layer naturally connect – data streams are analyzed for deviations from the norm, and based on these, the system can create preventative or predictive orders. Determining which signals are critical and how they translate into the risk of failure is crucial. Not everything has to end with an automated order – sometimes simply sending an alert to the appropriate person is enough. Regardless of the actions taken, however, you can be sure that CMMS and IoT are two areas that integrate seamlessly.

Prediction and preventive planning

Predictive maintenance is an approach that can lead to fewer breakdowns and lower costs. However, its implementation requires patience and good design. What are the key elements? These include data quality, the selection of predictive models, and the proper preparation of organizational processes. CMMS helps collect labeled historical data, which is essential for model training. At the same time, CMMS provides mechanisms for closing orders – the results are ultimately saved in the system along with a detailed list of completed tasks. This allows for ongoing model development and improvement of its accuracy. In practice, the greatest benefits are seen in situations where breakdowns are costly and repetitive.

Preventive maintenance planning must, in turn, take into account the specifics of automation. It’s not enough to establish a fixed replacement or inspection interval. Such activities must be synchronized with production schedules, taking into account maintenance windows and personnel competencies. A CMMS allows work to be planned in the context of line availability by defining maintenance windows, assigning resources and materials, and automatically generating service instructions. This ensures maintenance personnel know exactly what to do. Managers, in turn, can see the impact of these activities on production. As a result, maintenance activities are more transparent, the risk of unplanned downtime is reduced, and costs can be reduced.

CMMS integration with IoT

Spare parts and warehouse management in an automated plant

Critical parts for automated production lines can be quite expensive and difficult to obtain. It’s also important to remember that the absence of even a single board or relay can bring the entire line to a halt. A CMMS, integrated with a warehouse management system, allows for part usage analysis, minimum levels, and automated order fulfillment. Additionally, it’s possible to create service kits assigned to specific interventions, reducing repair time. This is especially important in plants where component availability impacts production recovery time.

CMMS Fault Response – Procedures, Communication, and Quick Repairs

Even with the best planning, failures can occur. A CMMS supports the response process – reports are cataloged, prioritized, and assigned to the appropriate personnel. It’s crucial that the system contains a history of common faults and repair instructions. This creates a knowledge base for the organization, which in practical terms translates to shorter diagnosis times and faster service actions in the event of subsequent failures. Equally important is SLA monitoring and root cause analysis of recurring problems. Based on this, it will be possible to, for example, change the device specification if the source of the fault appears at the design level.

impact on production recovery time. Response to a failure with CMMS

Human competencies, integration architecture, and performance measurement. Automation in practice.

When implementing automation, the human factor must not be forgotten. Automated solutions don’t necessarily lead to a reduction in staff numbers – instead, employee responsibilities change. This requires new skills in the areas of controllers, industrial communications, and diagnostic data analysis. How can this be achieved? This is another area where the capabilities of a CMMS system can be leveraged. This type of software supports the development of competencies by linking it to a training and certification system. For example, completing a service task may require active confirmation of the assigned person’s qualifications. This simple tool can significantly improve the safety and quality of work.

Another aspect worth considering is the technical side of integration. CMMS and automation are most often connected via IoT gateways or APIs. Regardless of the implementation, however, data transformation, identifier mapping, and data retention policies must be planned. Consideration must also be given to which data will be transmitted in real time and which in batch. Communication security and access control are other critical elements of the architecture. In practice, it’s best to start by integrating the most important metrics and then gradually expand the scope.

To determine whether CMMS and automation are delivering benefits, it’s also important to develop meaningful metrics. Which ones are worth implementing? Key KPIs include machine availability, mean time to repair (MTTR), and mean time between failures (MTBF). It’s also worth analyzing the number of unplanned downtimes and maintenance costs per unit of production. A CMMS can help here, too. The system facilitates the generation of reports and reviews. These enable managers to make decisions about investments or changes to their maintenance strategy.

CMMS – a maintenance center in the era of Industry 4.0

Automation and robotics offer enormous opportunities. However, they also require a transformation in the approach to maintenance. CMMS—especially when integrated with IIoT, sensors, and analytics—is a tool that allows for this transformation to be implemented sensibly and effectively. It allows organizations to gain control over data, better plan maintenance, respond to failures faster, and implement predictive strategies. This, in turn, translates into higher line availability, lower costs, and improved production quality. If you’re looking for a practical starting point, it’s worth preparing an integration pilot and focusing first on the elements with the highest impact on production—and then scaling the solution. QRmaint’s CMMS system can simplify this process by providing a simple interface for managing requests and schedules in an automated environment. Contact us to learn more.

FAQ

Integrating a CMMS (Computerized Maintenance Management System) with industrial automation brings a number of benefits. First, it enables the implementation of proactive and predictive maintenance strategies, preventing breakdowns before they occur. Second, the CMMS acts as a central repository of operational and service data, facilitating access to information on machine condition, repair history, and maintenance schedules. Third, integration with IoT allows for continuous monitoring of machine operating parameters and the generation of automated work orders when abnormalities are detected. Finally, the CMMS supports spare parts and warehouse management, reducing repair times and minimizing the risk of downtime.

 

In an automated plant, the traditional, reactive approach to maintenance (repair after failure) is insufficient for several key reasons. The complexity of automated production lines, composed of numerous components (PLCs, robots, sensors), means that the failure of even a single component can paralyze the entire line. This reactive approach leads to unplanned downtime, missed deadlines, and financial losses. The maintenance department must be proactive and predictive to ensure high machine availability and minimize the risk of costly breakdowns. A CMMS provides the necessary tools to implement such a strategy.

 

To assess the effectiveness of a CMMS and automation implementation, it’s worth monitoring several key performance indicators (KPIs). The most important are machine availability , mean time to repair (MTTR) , and mean time between failures (MTBF) . Additionally, analyzing the number of unplanned downtimes and maintenance costs per unit of production provides a more complete picture. A CMMS facilitates reporting on these metrics, allowing for informed decision-making.

tło

It’s easy to get started with QRmaint

And it’s free for 14 days. No credit card, no commitment.