Questions Clients Ask Before Starting
Published on March 15, 2025
A direct look at the most frequent doubts that arise when planning an automated valve audit or a predictive maintenance program.
When a heavy manufacturing plant first approaches eplusvalve, questions usually revolve around three axes: the actual scope of the service, the data they need to have ready, and the time it will take to see measurable results. These are not theoretical questions; they are operational decisions that affect the next day's production.
The first recurring question is “what do we need to prepare before the visit?”. In practice, the most useful thing is to have updated process diagrams (P&ID), a history of recent interventions on critical valves, and differential pressure records from the last three months. Without these documents, the initial audit becomes a data collection exercise rather than an analysis.
Another common query is “how long does an automated valve audit take?”. The answer depends on the number of control loops involved. For a production line with 15 to 20 valves with pneumatic actuators, field work usually takes between two and three days. Add to this half a day to review the calibration of smart positioners and another day to document findings. The client receives a report with priorities, not a generic list.
They also ask “what happens if we find an internal leak during the review?”. In that case, the test is stopped at that point, the leak rate is documented using the bubble method or pressure drop calculation, and a repair window is recommended. There is no improvisation: a protocol is delivered with the applicable ISA standard and the severity level.
Finally, there is the question about “how to measure the return on investment in predictive maintenance”. The concrete answer is that the cost of an unscheduled shutdown (lost production hours, extra labor, urgent spare parts) is compared against the cost of the scheduled intervention. In most cases, the ratio is 4 to 1 in favor of predictive maintenance. But we don't give that number as a promise; we calculate it with the actual data from each plant.
These questions are not obstacles. They are the starting point for a work plan that makes sense for both sides. When a client arrives with these doubts, the conversation moves quickly because we are already talking about the same thing.