{"id":582,"date":"2022-10-10T17:47:05","date_gmt":"2022-10-10T15:47:05","guid":{"rendered":"https:\/\/sinom.se\/?p=582"},"modified":"2024-03-08T12:29:29","modified_gmt":"2024-03-08T10:29:29","slug":"datadriven-underhallsplanering-hur-fungerar-det","status":"publish","type":"post","link":"https:\/\/sinom.se\/en\/datadriven-underhallsplanering-hur-fungerar-det\/","title":{"rendered":"What is data-driven maintenance planning and how does it work?"},"content":{"rendered":"
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What is data-driven maintenance planning and how does it work?<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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A property owner has an obligation to maintain buildings and properties in order to preserve them in good condition. To make this possible, many people use a maintenance plan that helps keep track of which things need to be fixed, when it needs to be done and at what cost. In other words, as a property owner, you can keep track of maintenance and renovation needs. Some use a manual maintenance plan while others turn to digital planning tools. But of course there is a difference between a maintenance plan and a maintenance plan. Here we tell you more about what data-driven maintenance planning means.<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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A smart tool, for real<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Sinom has developed a data-driven planning tool that makes it easy to work proactively with the maintenance of your properties. You get a good overview that means you have control over maintenance needs and can prioritize accordingly. You also get a good basis for decision-making that helps you work preventively and understand costs connected to the maintenance of the property.\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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What does data-driven maintenance planning actually mean?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Maintenance planning that is data-driven means, in short, that we use large amounts of data to strategically plan maintenance measures on properties. Decisions regarding property maintenance are still largely manual and are often based on intuition, experience or the external environment, instead of making decisions based on data which is the basis for planned and strategic decisions. A data-driven approach allows properties to access important information faster and immediately, thanks to data visualization, statistics and data analysis, without having to wait for periodic, standardized and static reporting. This allows you to spend more time on other things.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Therefore, data-driven maintenance planning is preferred<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Property maintenance done with a data-driven planning approach produces long-term and goal-based plans and aims to optimize the economic and technical life of the property. A data-driven planning method provides insight into buildings' technical needs and improvement opportunities.<\/p>\n

To develop a data-driven approach to strategic maintenance planning, it is important to identify and thoroughly understand the problems of maintenance planning. The data that Sinom is based on has been developed over many years and based on solid research. For example, we consider the environment, climate and other important social aspects that affect your property in particular.<\/p>\n

Maintenance planning has long relied on individuals' intuition and experience with buildings. Given the amount of data and information required for maintenance planning and the complex relationship between them, it is clear that processing this complexity requires new tools and techniques.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The picture above shows how a data-driven process works. Sinom produces data that is based on your particular property and the many factors that affect it. You then get to take part in these insights in order to act from there.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Do you work proactively with the property's maintenance?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Maintenance planning has been done, and continues to be done using basic data on the condition of buildings, the property's previous maintenance measures and their respective costs. Property condition is obtained through building inspections and past action data and cost data is obtained either from the property owner or from available data sources such as REPAB, INCIT, WiKELS, among others. Once the property has been inspected, maintenance measures are planned at fixed intervals. Since these plans are largely based on experience and the planned actions are not connected and synchronized with the actual deterioration behavior of the respective building component, these plans quickly become outdated, are followed only in the short term and eventually shelved.<\/p>\n

The same problem is still present in existing planning tools where, instead of unraveling the relationship between different data sets, data is used in a simple and static form to create and visualize maintenance plans.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Keep track of actual deterioration behavior of the property's components<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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In order to create plans where the maintenance measures are linked to the actual deterioration behavior of building parts, we need to process the connection between the actual condition of the property and maintenance measures. Below we see the effects of different deterioration behaviors of the same component on both condition and maintenance intervals.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Take care of your property with Sinom<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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It is important to understand what happens to the condition of a component on a property when a maintenance action is postponed, neglected or completely replaced by another action. Or how maintenance should change and how life expectancy should be assessed when conditions of use change, and a component deteriorates faster or slower than expected. Sinom is working to unravel these relationships and based on all the knowledge we have, we have developed a planning tool that can process these complexities, which in turn opens up a unique opportunity to create maintenance plans that are dynamic, interconnected and continuously updated based on real-time assessment of state data.<\/p>

In the next step, when the impact on properties is processed, we use available data such as condition data, cost data, measurement data, energy data and climate data, automating the difficult and tedious parts of the planning process.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Automation gives you time to do other things\u00a0<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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In our tool, the scheduling of actions can be automated where the planning algorithm creates thousands of planning scenarios, evaluates them in terms of cost, technical performance, energy use and climate effects, and selects the optimal plan in just a few seconds. This is a process that would take a person days to prepare, given the amount of data, if possible at all. Automating scheduling allows property managers to create multiple scenarios in just minutes, evaluate each one, and compare them to find the best plan to move forward with.<\/p>

A proper data-driven planning process can help us create a plan that is long-term, linked to the condition of the buildings, is planned to help us reach our energy and climate goals and is optimized from a life-cycle perspective.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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