News, updates and best practices in maintenance and urban asset management — for those who design, operate and audit critical infrastructure.
MTBF and MTTR reported by a CMMS across a distributed portfolio are almost always correct as arithmetic and misleading as metrics. The useful reading appears once results are split by criticality and temporal window before aggregation.
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An engineering firm can deliver an asset register with flawless attributes and coordinates and still hand the operator something they cannot actually operate. What separates one from the other is GIS topology validated before delivery, not after.
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"Integrates with everything" is the easiest promise to make and the hardest to verify after signing. For an engineering firm, a platform's API is not just another feature: it decides whether the firm can fold it into its stack and the client's ERP in hours or in months. It is worth checking before prescribing — by asking for the public OpenAPI documentation, not a sales promise.
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The cost of not being able to prove an intervention is not the fine: it is the week lost reconstructing records, the audit that drags on and the dispute lost for want of evidence. Traceability done well is not bureaucracy but operational saving, and the difference lies in capturing signed data at the point of work, not writing it up afterwards.
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When field surveys depend on coverage, the engineering firm pays a cost that never shows in the budget: lost data, hours of office transcription and client revisions. Working offline and syncing on return turns the survey into consolidated data from day one, and that shows in the schedule and the margin.
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Starting maintenance digitisation with the whole portfolio at once is the fastest route to failure: half-loaded data, technicians slipping back to paper and no proven value. A modular rollout — inventory first, corrective and preventive later — lowers the risk and lets each phase pay for itself with its own data.
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