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Maintenance plays a key role in supporting the competitiveness and sustainability of organizations. Digitalization and technological developments, such as data analytics and artificial intelligence, are enabling more effective and predictive processes. In this article, we examine four significant trends that will shape the future of maintenance: data and analytics, complexity management, artificial intelligence, and sustainability.
1. Data and analytics at the core of effective maintenance
The digitalization of maintenance has increased the importance of data. Data can be used to track past events, but also to predict future needs. Analytics help focus on critical assets, optimize resource usage, and reduce costly downtime. The reliability of maintenance data is based on regular reporting and high utilization of the maintenance management system. To achieve this, the system must be an integral part of operations and must be used efficiently. This should be ensured by the management.
Why invest in data?
Data is a strategic asset for maintenance and ensures better decision-making at all levels. Effective use of data leads to significant savings for organizations and it provides the means to be proactive rather than reactive when problems arise.
Read more: The importance of quality maintenance data in the daily management of a maintenance organization
How do I get started?
It’s important to focus on implementing the right tools and practices to get real value from data and analytics. The first step is to identify the systems where the data resides, and the roles of the various systems. This also helps identify the right step at which data integration is required. So start by assessing what data is being collected and identify the critical points for improvement.
The next step is to consider how the data will be used. Data warehouses and BI reporting provide an effective means to of aggregating and visualizing data from multiple sources. Also, ensure that the staff has sufficient skills to use analytics for decision-making. A good CMMS system is a valuable tool in this development effort.
Read more: How to turn maintenance data into business value and decision support
2. The complex and diverse operational environment of modern maintenance
The operational environment of modern maintenance is a complex combination of technology, systems, processes, and people. The complexity can be the result of managing multiple factories globally, where different local conditions, regulations, and practices make management more challenging. The various software, equipment, and stakeholders also require clear coordination. Diversity brings challenges, but it also allows for more systematic maintenance.
Why invest in data?
The effective maintenance of a complex environment helps avoid information gaps and disruptions that can cause significant costs. A coherent way of operating ensures that maintenance workflows run smoothly and support business objectives. For example, effective management of the partner network is becoming increasingly important: well-managed partner cooperation ensures that development-supporting data is available when needed. This enables continuous improvement and more efficient use of resources.
Read more: Increasing business criticality of maintenance underscores the need for integration
How do I get started?
The key is to identify operational issues and invest in harmonizing processes and tools. Document key maintenance processes and train people to understand their importance in the big picture. In addition, integrating systems reduces manual work, and improves the flow of information.
When it comes to managing the partner network, it is essential to identify key partners for performing maintenance tasks and sourcing spare parts. Managing the network becomes easier if you involve them in the use of the maintenance system. Start with a few key partners to gain experience for working methods and to advocate for other partners.
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Read more: How to get started with maintenance development
3. Artificial intelligence is the enabler of the new era
Artificial intelligence is becoming one of the most essential maintenance development trends. It can be used to identify latent defects, optimize maintenance tasks, and even automate decision-making. Preventive maintenance is perhaps the most visible application of artificial intelligence, but its capabilities go far beyond that.
Why invest in artificial intelligence?
With AI, you can reduce human error and improve the accuracy of decision-making. In addition, artificial intelligence helps process vast amounts of data that humans could not analyze efficiently enough. This leads to significant cost savings and improved usability of equipment.
Read more: The power of smart manufacturing: the potential of AI in the industrial environment
How do I get started?
Implementing artificial intelligence requires careful groundwork. This means that the quality of data must be ensured, and maintenance processes consolidated. It pays to focus initial applications on clearly defined problems, such as retrieving and aggregating data or optimizing maintenance tasks. This enables quick results and increases confidence in AI solutions. We suggest that you start implementing artificial intelligence in maintenance today. The reason is simple: for the first time, low-threshold solutions are available to everyone, and turnkey tools and solutions reduce the time required for implementation.
4. Maintenance is the cornerstone of a sustainable future
Sustainability has become a strategic goal in many organizations, and maintenance can be an integral part of achieving it. Energy efficiency, sustainable use of resources and waste minimization are examples of activities that are directly impacted by maintenance investments.
Why invest insustainable future
In addition to reducing environmental impact, sustainable maintenance supports the business goals of the company. Improving energy efficiency and equipment life cycles reduces costs, but it also improves the reputation of the company and the trust of stakeholders and partners. The role of maintenance in promoting sustainable development is not limited to environmental impact – it also promotes social responsibility, such as the safety and well-being of employees, and economic responsibility, such as the rational use of resources and cost optimization.
How do I get started?
Start by identifying current activities that impact the environment. Identify parts of the processes that create excess consumption or waste and focus on addressing these problems. To promote sustainability, also monitor the environmental impact of maintenance tasks and implement metrics that support sustainability goals. In addition, the staff should be trained to implement sustainable practices, and the management should be committed to the principles of sustainability so that they can lead by example.
Are you ready to evolve your maintenance operations? Let our experts help you
Contact our experts to find out how smart solutions can improve the efficiency of your daily maintenance activities. Our team can help you assess your needs and create a customized solution for the specific requirements of your organization.
Read more:
Guide: Using artificial intelligence in maintenance
Blog: The importance of quality maintenance data in the daily management of a maintenance organization
Novi by Pinja Maintenance System (CMMS)
Juha Nyholm
I work as a Sales Manager at Pinja, working on maintenance solutions. I have a long history of working with industry. I spend my free time in my own and my children’s sports activities, including basketball.
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