Maintenance manager guide

Move from reactive maintenance to reliability management

Prioritise assets, causes, plans, parts and skills from a genuinely usable history.

For: Maintenance, methods, assets, fleet, production and service managers
01 · Short answer

What to clarify before discussing a solution

The signal

Emergencies consume capacity, the same failures recur and preventive work is not reassessed.

The answer

Which assets and failure modes should receive the first reliability effort?

The answer does not lie in an isolated feature: it is built by connecting rules, actors, data and evidence.
The expected outcome

A portfolio of critical assets, complete work orders and a regular analysis and adjustment loop.

02 · Structural decisions

Four decisions to make before configuration

These decisions make the scope testable and prevent structural choices from being discovered during the project.

01

Classify assets by failure impact

The decision must specify the rule, its owner, the required data and the evidence used to accept it.

02

Standardise causes and closure information

The decision must specify the rule, its owner, the required data and the evidence used to accept it.

03

Prepare parts, skills and window

The decision must specify the rule, its owner, the required data and the evidence used to accept it.

04

Revise plans from actual feedback

The decision must specify the rule, its owner, the required data and the evidence used to accept it.

03 · Scope

A readable end-to-end flow

Scope is not a list of modules. It is a chain of events, ownership and decisions.

1Criticality
2Signal and request
3Diagnosis
4Preparation and execution
5Reliability analysis

In the first scoping

  • One representative flow and its useful variants
  • Authoritative events and minimum data
  • Roles, decisions and escalation times
  • Acceptance criteria and baseline measurement

To sequence in waves

  • Additional sites, activities or populations
  • Rare variants that do not condition the pilot
  • Automations whose rule is not yet stable
  • Advanced dashboards after source reliability

To decide explicitly

  • Classify assets by failure impact
  • Standardise causes and closure information
  • Prepare parts, skills and window
  • Revise plans from actual feedback
04 · Roadmap

From direction to measured improvement

  1. 1Navigator
  2. 2Personalised review
  3. 3Scoping workshop
  4. 4Wave-based deployment
  5. 5KPI measurement

Each stage produces a decision or evidence reusable in the next. Deployment remains business-led and verifiable.

05 · Metrics

Measure to decide, not to fill a dashboard

Every KPI needs a definition, a source, a cadence and an associated decision.

KPIFormulaSourceDecision
MTBFOperating time ÷ number of failuresMeters, incidents and downtimePrioritise assets requiring reliability work
MTTRTotal repair time ÷ corrective interventionsWork orders, time and closuresAct on diagnosis, parts and preparation
Asset availabilityAvailable time ÷ required timeCalendars, downtime and metersArbitrate preventive work, capacity and renewal
Preventive work sharePreventive hours ÷ total maintenance hoursPlans, work orders and timeRebalance planned maintenance and emergencies
06 · Business scenario

A pilot portfolio of critical assets

Situation
Maintenance intuitively knows sensitive assets but cannot always demonstrate where to act first.
Approach
The pilot structures ten to twenty critical assets, improves requests and work orders, then runs a recurring-failure review.
Target outcome
Priorities are justified by criticality, recurrence, time and service impact.
This scenario illustrates a scoping method. Outcomes must be established with data from the selected scope.
07 · Frequently asked questions

Useful answers before the first discussion

01Where should we start in practical terms?

Choose a representative scope spanning “Criticality” and “Signal and request”, then document one normal case and one frequent exception. The first flow should be important enough to matter but contained enough to observe end to end.

02Do all existing systems need replacing?

No. Scoping starts with decisions, authoritative events and ownership. It then determines what should be retained, integrated, replaced or simply better governed, wave by wave.

03What data should be prepared before a workshop?

Prepare a few real cases, the volumes shaping the operation, the main variance reasons and the sources used to measure MTBF. The quality of examples matters more than the quantity of documents.

04How should the right pilot scope be chosen?

Choose a scope with an available owner, accessible data, a meaningful exception and a measurable outcome. Avoid both an overly simple case that proves nothing and an overly broad scope that dilutes learning.

05How can scope changes during the project be limited?

Make assumptions, interfaces, variants, exceptions and acceptance criteria explicit. Every new request can then be classified: essential to the wave, suitable for a later wave, or outside the objective. Discussion focuses on impact rather than intuition.

Next step

Turn this guide into a personalised review

Complete Navigator to position your context, then use the review as the starting point for a scoping workshop.

  1. 1Navigator
  2. 2Personalised review
  3. 3Scoping workshop
  4. 4Wave-based deployment
  5. 5KPI measurement
NavigatorPlan a discussion with an expert