Asset management needs spatial context

With geographically dispersed assets, the surrounding environment plays a key role in how you prepare, plan and carry out maintenance. Can you reach the work location? Is there a ditch, building, cable or pipeline nearby? Does the route cross other infrastructure? Will you need equipment that can’t go everywhere? Are there other jobs in the same area that could be combined? That information is not always in one place. Maximo holds the maintenance logic; your GIS holds the spatial context.

IBM Maximo Spatial brings those two worlds closer together. Not as an extra map alongside your process, but as context for assets, locations, service requests and work orders. This makes location data usable precisely where your maintenance teams make decisions: during preparation, planning, execution and analysis of the work.

From work order to work location

A work order tells you what needs to happen. But with assets in a network, route or large area, the next question is equally important: exactly where?

With Spatial you can place faults and work orders geographically, based on a service address, asset, location or a point, line or polygon on the map. This makes a real difference for assets that don’t logically tie to a single address. Think of a manhole in a field, a cable route, a pipeline segment, roadside installations or assets spread across a site.

Planners see work not just as a list, but in relation to area, route and available capacity. Engineers get a clearer picture of the work location, including on mobile and offline. Managers and reliability engineers gain better insight into how notifications, assets and their environment connect.

Location information thus stops being a separate GIS layer that someone has to look up and becomes a fixed part of your maintenance process.

Planning becomes stronger when location is included

Maintenance planning revolves around priority, capacity, skills, certifications, time windows, equipment and availability. When location stands apart from this, you miss an important piece of the puzzle.

For breakdowns you want to see quickly who is nearby and what resources are available. For planned maintenance you want to know which jobs are in the same area. And if specialist equipment such as a digger or service vehicle is already in the region, you want to factor that in.

Without a good connection, this often remains manual work. A planner knows from experience what makes sense. An engineer knows the area. A manager knows where previous issues occurred. Valuable knowledge, but vulnerable if it isn’t structurally available.

Spatial makes this context more explicit. Work orders, assets and locations are visible geographically. Map information, routes and availability are better incorporated into planning and execution. Not to replace maintenance professionals, but to support them more effectively.

Maximo data in geographical context

The connection between Maximo and your GIS works both ways. Data from your GIS becomes usable inside Maximo, while Maximo data gains more meaning in your GIS.

The latter is particularly valuable when you want to do more with maintenance history. Maximo often contains years of data on faults, incidents, work orders, lead times, costs and performance. But as long as you view that data mainly in tables, reports or dashboards, spatial patterns remain hidden.

Patterns you spot less easily in tables

A particular area shows a remarkably high number of faults. Incidents occur more frequently along a specific route. Similar assets behave differently due to soil, accessibility, load or environmental factors. Or the map reveals smarter opportunities to bundle work than a list suggests.

For this type of analysis, your GIS is often the logical place. Spatial makes Maximo data more usable there. This lets you use Maximo for maintenance processes and your GIS for geographical analysis, without artificially separating the two worlds.

Linear assets need more than tables

With linear assets in Maximo, the value of Spatial becomes even clearer. A pipeline, cable, railway line, road or transmission line is not a single object at one fixed spot. It is an asset spanning metres or kilometres, with segments, properties, relationships and history along its length.

A pipeline can consist of different materials per segment. A road can have a different subsoil per section. A cable route can cross other infrastructure at certain points. Maintenance is also not always carried out across the entire length of an asset.

You can record this administratively, but you understand the impact faster when you see it spatially. Where does the segment start and end? What features lie on or around the route? Where is access possible? Which properties apply to this section? What is the maintenance history? And what does it mean if you only carry out part of the work?

For network operators, water boards, infrastructure managers and other asset-intensive organisations, Spatial makes linear maintenance more concrete and easier to trace.

The real renewal lies in the way of connecting

Maximo Spatial has existed for some time. The development focus is mainly on how IBM is re-investing in this functionality within IBM MAS. Where Maximo-GIS connections used to be often rigid, technical or custom-work heavy, the current approach is more modern: more web-based, more service-oriented, loosely coupled and easier to manage during updates and upgrades.

This matters if you have been working with Maximo and a GIS for years. Many environments have existing interfaces, data sources and working arrangements. In that case you don’t just want to add a connection – you want a setup that is reliable, remains manageable and fits your governance.

The question is no longer whether you can get GIS data into Maximo, but how you make Maximo and your GIS work together so that users can rely on it.

Want to discuss the best way to connect IBM Maximo Spatial with your geographic data? Get in touch with Wouter Schouten on +31 (0)6 52 68 37 43 or w.schouten@gemba.nl.