Doug Ansuini : Author Archives
Posts by Doug Ansuini
How to Automate Power Plant Maintenance with AI Software
Most “AI will change everything” content skips the part that actually matters: what to automate first, and in what order. This guide covers that directly, with a five-step rollout for AI maintenance software built around real sensor data, not hype. None of the five steps below requires a data science team or a research budget.…
Read MorePower Plant Predictive Maintenance: How to Get Started
Preventive maintenance alone stopped being enough a while ago. You are already running calendar-based inspections, and turbines still trip, transformers still overheat, and boilers still fail between scheduled checks. Power plant predictive maintenance is the next step: using real condition data, rather than a calendar, to tell you when equipment needs attention. If the idea…
Read MoreWhy AI Is Vital for Construction Asset Management Software
Your fleet generates more data every day than any maintenance team could review manually. AI in construction asset management turns that flood of data into decisions your team can act on. It flags problems before a breakdown ever happens. LLumin CMMS+ is a computerized maintenance management system software (CMMS) platform built to process that data…
Read MoreHow to Reduce Reactive Maintenance in Pharma Manufacturing
When your production team receives an urgent maintenance call, the problem rarely stops at one broken component. For example, a pump may fail, a filling line may stop, or a cleanroom HVAC system may drift outside its normal range. Your team may then need to coordinate repairs, locate spare parts, assess equipment condition, and determine…
Read MoreSolve PFMEA Challenges with LLumin CMMS+
Process Failure Mode and Effects Analysis (PFMEA) is one of the most powerful risk reduction tools in industrial maintenance. The biggest PFMEA challenges, however, don’t show up in the methodology itself. They show up in execution. Biased scoring, disconnected departments, and action plans that never leave the spreadsheet are the real threats to your facility’s…
Read MoreBest Practices for PFMEA Documentation
Poor documentation habits undermine the entire purpose of running the analysis. Poorly documented findings trap valuable risk data in static files where nobody can use them to prevent failures. Your technicians can’t act on information they can’t find or interpret. Vague descriptions and disorganized maintenance risk management records make it impossible to build an effective…
Read MoreWhy Maintenance History Matters in PFMEA
Two of the three inputs behind every Risk Priority Number (RPN) are directly tied to what has already happened on your plant floor: Without a complete PFMEA maintenance history behind them, these scores represent little more than your team’s best guess. No matter how educated that guess is, having the right data will make their…
Read MoreFMEA vs PFMEA: What’s the Difference?
Failure analysis works best when you use the right tool for the right problem. Failure Mode and Effects Analysis (FMEA) and Process Failure Mode and Effects Analysis (PFMEA) are both structured risk assessment methods. Evaluating when to use FMEA vs PFMEA (or knowing when to use both) depends on whether you’re evaluating a design, a…
Read MoreHow to Build Technician Trust in AI-Powered Alerts
Artificial intelligence is a powerful tool for driving efficient maintenance workflows, but only when your team trusts the alerts it generates and consistently acts on them. That trust is harder to earn than most implementations anticipate, since we know that: If you are starting to build technician trust in AI-powered maintenance alerts, understand it’s not…
Read MoreHere’s What CMMS Reveals About Manufacturing Bottlenecks
Catching and managing manufacturing bottlenecks is a tricky practice due to their tendency to hide in maintenance logs, work order backlogs, and repair response data that scattered systems fail to connect. To make things more difficult, over 67% of manufacturers still rely on reactive maintenance, creating a cascading effect where small equipment issues grow into…
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