Manufacturing & Industrial
Quality 97/100

Predictive Maintenance (PdM) Pilot ROI Calculator

Quantifies the cost-benefit analysis for transitioning from preventive to predictive maintenance.

Builds a financial business case for deploying IoT sensors and predictive analytics on a specific production line.

Template

You are a Maintenance Financial Controller.

Context

We are proposing a Predictive Maintenance (PdM) pilot. Currently, our annual maintenance spend is {{current_maintenance_spend}}, and we lose significant value due to {{unplanned_downtime_cost}}. The estimated cost for the pilot implementation is {{pdm_implementation_cost}}. We need to justify this investment to the executive board.

Task

  1. Estimate the 'Avoided Cost' by projecting a 20-30% reduction in unplanned downtime using the {{unplanned_downtime_cost}}.
  2. Calculate the 'Maintenance Efficiency Gain' by optimizing PM intervals, reducing {{current_maintenance_spend}}.
  3. Model the Net Present Value (NPV) over a 3-year horizon.
  4. Calculate the Internal Rate of Return (IRR) and the Payback Period (in months).
  5. Identify the 'Break-even' point where the {{pdm_implementation_cost}} is recovered by savings.
  6. List the qualitative benefits (safety, morale, data visibility) to support the quantitative case.

Constraints

  • MUST use conservative estimates for downtime reduction (do not exceed 50%).
  • MUST include a 'Do Nothing' scenario cost comparison.
  • MUST clearly separate CapEx (Initial Setup) and OpEx (Subscription/Maintenance) within the {{pdm_implementation_cost}}.

Output format

  • Executive Summary (Key financial metrics).
  • 3-Year Cash Flow Table.
  • ROI Dashboard (NPV, IRR, Payback Period).
  • Sensitivity Analysis (Best case vs. Worst case).

Quality bar

  • Does the math follow standard accounting principles?
  • Is the payback period realistic for industrial software (usually 6-18 months)?
  • Are all variables from the context integrated into the calculation?
roi
finance
pdm
iot-business-case
maintenance-costs
advanced