Introduction
An MES system tailored to the needs of a specific manufacturing plant is an extremely practical solution. It allows you to track all processes taking place on the production line in real time, and additionally, if the system identifies worrying data, it will alert you in a report and indicate what steps should be taken to prevent downtime or failure. Another unquestionable advantage of an MES system is the ability to visualise data in the way preferred by the user. By choosing the IPLAS system, you can decide how the most important data for your company will be presented – so that its interpretation and analysis is a quick and intuitive process.
What are the possibilities of data visualisation in an MES system? You will find the answer in today’s article!
The importance of data visualisation in an MES system
In today’s dynamic industrial environment, complex production processes require appropriate management, and the key to their effective verification is the correct interpretation of data. In this context, data visualisation in an MES (Manufacturing Execution System) becomes a key tool that not only facilitates monitoring but also significantly affects efficient production management.
- Facilitating process monitoring
Data visualisation in an MES system enables immediate access to key information on various stages of production. Graphical representation of data, using e.g. charts, diagrams, or heat maps, allows for tracking production progress and identifying potentially problematic areas. Operators and department managers can react instantly and protect the plant from losses and downtime.
- Improving operational efficiency
Clear data visualisation in an MES system helps identify trends and patterns in production processes. As a result, operations management becomes more precise, and access to reliable data enables performance optimisation.
- Reducing response time
Data visualisation in an MES system reduces response time to changes in production. Thanks to immediate access to information, decision-makers can quickly adjust their action strategy in the event of failures, delays, or other unforeseen events. This, in turn, minimises the risk of production interruptions and helps maintain process continuity.
- Optimising decision-making processes
Clear data visualisation supports decision-making processes, enabling a better understanding of complex relationships between various production factors. Department managers are able to make accurate decisions based on up-to-date and comprehensive data. This, in turn, translates into increased planning precision, resource optimisation, and improvement of the overall production process efficiency.
Techniques and tools for data visualisation in MES
To make an MES system fully functional, it is worth tailoring the visualisations of data collected from the production line to the preferences of operators and managers. Below you will find a list of possibilities for graphical representation of data in an MES system.
1. Dashboards
What is it about?
Dashboards are interactive panels presenting key performance indicators (KPIs) and other production-related information. They allow for view customisation, enabling each user to access relevant data in an intuitive way.
Advantages:
- quick access to important information,
- easy KPI analysis,
- personalisation depending on the user’s role.
2. Gantt charts
What is it about?
Gantt charts are an excellent tool for presenting production schedules, tasks, and their time dependencies. They allow for a clear visualisation of the sequence of activities and tracking work progress.
Advantages:
- clear representation of schedules,
- identification of critical paths,
- optimal task planning.
3. Process control charts (SPC – Statistical Process Control)
What is it about?
Process control charts allow for monitoring the stability and compliance of production processes. Using statistics, they enable quick detection of deviations from the norm and taking corrective actions.
Advantages:
- identification of process instability,
- minimising the risk of manufacturing defective products,
- improving the quality of processes taking place on the production line.
4. Heat maps
What is it about?
Heat maps in an MES system present data graphically, where colour intensity reflects numerical values. They are used to analyse specific areas, identify patterns and trends.
Advantages:
- quick spotting of problematic areas,
- trend identification,
- intuitive analysis of comparative data.
5. 3D graphics
What is it about?
3D graphics enable three-dimensional representation of objects, machines, or entire production lines. They are used for virtual process visualisation, which facilitates understanding of spatial relationships.
Advantages:
- better understanding of the spatial layout,
- identification of potential conflicts,
- visualisation of complex structures.
The impact of visualisation on decision-making processes in production
Visualisation of data from production processes not only provides key information from the company’s perspective but also revolutionises decision-making processes, enabling quick problem identification and trend detection. How does data visualisation affect decision-making processes in production?
Real-time data tracking
Visualisation provides a quick and comprehensive overview of key performance indicators, production status, and resources on an ongoing basis. Decision-makers can instantly assess the current situation and identify areas requiring immediate attention.
Quick problem identification
Thanks to data visualisations, operators and managers can quickly spot even the smallest deviations from the norm, production issues, or other anomalies. This enables a quick response and minimises the risk of negative consequences for production.
Tracking trends and taking proactive actions
Data visualisation facilitates monitoring trends in production. Decision-makers have the ability to predict potential challenges, enabling proactive actions and adaptation of strategies to changing conditions.
Improving data analysis
Graphical representation of data significantly facilitates its analysis, especially in the case of large and complex datasets. Decision-makers are able to see relationships between data more easily, which translates into a better understanding of the production situation.
Greater transparency = better collaboration
Access to reliable data increases the transparency of production processes, which translates into building trust and better collaboration between teams. Decision-makers and employees are aware of the goals the company is striving for and the production challenges.
Shortening the decision-making cycle
Data visualisation eliminates the need to search through a huge number of reports and tables. Decision-makers can quickly assess the situation, finding the required report or visualisation with just a few clicks, which enables rapid key decision-making.
Integration of data visualisation with other systems
The cooperation of various systems in an enterprise is a key issue if you want full optimisation of production processes. Integrating data visualisation in MES with other systems, such as ERP (Enterprise Resource Planning), predictive analytics, and IoT (Internet of Things), brings a range of benefits, enabling holistic production management.
Integration with the ERP system
Shared database
Integrating data visualisation in MES with the ERP system enables the use of a single shared database. Information regarding production, resources, and planning is synchronised, thereby eliminating the risk of discrepancies between systems.
Centralised management
Decision-makers have access to a full range of information on production and resource management, which facilitates enterprise management.
Integration with predictive analytics
Combining datasets
Integration with predictive analytics enables the use of advanced algorithms to predict production trends. Data visualisation can present the results of predictive analysis, supporting decision-makers in making more precise decisions.
Automation of decision-making processes
Integrating the MES system with predictive analytics acts as a tool that automates decision-making processes based on the results of predictive analysis. A quick response to predicted trends and exceptions becomes possible thanks to integrated data visualisation.
Integration with IoT (Internet of Things) technology
Real-time monitoring
Integrating data visualisation in MES with data from IoT devices – the Internet of Things – enables real-time production monitoring. This acts as a tool for quick recognition of changes and failures, allowing for an immediate response to the smallest deviations from the norm.
Automated reporting
Data collected from IoT devices can be automatically visualised in MES, providing decision-makers with comprehensive information on production performance, quality, and efficiency.
Integrating these areas with data visualisation in MES not only eliminates information barriers between different systems but also enables more holistic and efficient production management. Decision-makers have access to consistent, up-to-date data, which translates into making more accurate decisions and more effective optimisation of production processes.
IPLAS is an MES system where you can easily tailor the reporting dashboard to the specifics of all departments in your company. This means that every employee will have access to clearly presented data key to the activities they perform. Our team of specialists will talk to you about the needs of your enterprise and advise which reporting dashboards will work best in more effectively achieving business goals in the manufacturing plant.
