Operational Excellence specialists
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OE360 Assessment
Expertise / Production Assurance

Find the losses. Prioritize the recovery.

Identify what limits production and compare the operational, maintenance and investment options to address it.

Production system
RequirementsSystem dependenciesProduction
Assurance programmes

Define production objectives, reliability requirements, responsibilities and assurance activities across the asset lifecycle.

Reliability, Availability & Maintainability

Model system performance, dependencies and recovery scenarios to compare improvement options.

Production-loss analysis

Reconcile deferment data, identify recurring losses and prioritize recovery opportunities.

Reliability in design

Review configuration, redundancy, maintainability and supplier evidence against operating requirements.

Option assessment

Compare capital cost, maintenance demand and downtime exposure using explicit assumptions.

Tracking & verification

Check actual performance against the baseline and verify the effect of implemented actions.

RAM engineering & production performance

The operating challenge

When production falls short, the cause may be a capacity constraint, equipment unavailability, slow recovery or an operating dependency. The priority is to separate these effects and establish which changes are technically justified and worth funding.

Service offers

01

Production-loss diagnostic

Reconcile deferment records, identify recurring contributors and agree an accountable loss register.

02

RAM study and option assessment

Model reliability, availability and maintainability (RAM), including operating scenarios and dependencies. Compare redundancy, repair, spares and maintenance options with explicit assumptions.

03

Production-assurance programme

Translate production objectives into reliability requirements, readiness actions and a review process across operations, maintenance and projects.

What you receive
01Loss baseline with agreed definitions and data gaps
02Option comparison with assumptions, sensitivities and lifecycle cost considerations
03Prioritized recovery plan with owners and verification measures
Technical scope

What the domain covers

Production assurance connects performance requirements, engineering decisions and operating experience across the asset lifecycle. The scope below translates the ISO 20815 process framework into practical work packages.

01Define production and reliability requirements+
  • Business objectives, asset boundaries, production profiles and operating modes.
  • Capacity, availability, recovery and maintainability requirements; constraints from HSE and quality.
  • Allocation of system requirements to equipment, interfaces and suppliers.
  • Consider sustainability and climate-related constraints in the programme basis.
02Plan the assurance programme+
  • PAP for the asset and RMP for equipment or technology scope.
  • Study plan, responsibilities, decision gates, deliverables and acceptance criteria.
  • Select activities in proportion to technical uncertainty, project risk and value.
03Embed assurance in design and manufacture+
  • Configuration, redundancy, access, maintainability and repair philosophy.
  • Equipment reliability requirements, design reviews and supplier evidence.
  • Life-cycle trade-offs between capital cost, operating cost, downtime and risk.
04Coordinate assurance through delivery+
  • Track requirements, assumptions and recommendations as the design evolves.
  • Resolve discipline interfaces and align maintenance, spares and operating strategies.
  • Carry the approved basis into commissioning, handover and operations.
05Analyse risk and reliability+
  • RAM modelling, reliability block diagrams, fault/event analysis and simulation as appropriate.
  • Failure modes, repair resources, logistics, dependencies and common-cause events.
  • Production-loss scenarios, uncertainty, sensitivity and decision alternatives.
06Verify and validate the result+
  • Check models, data, methods and traceability of calculations.
  • Confirm evidence against agreed performance requirements and operating scenarios.
  • Record exceptions, decision limitations and required follow-up.
09Track performance and improve the evidence+
  • Equipment, failure and maintenance records linked to ISO 14224.
  • Production and time-loss classification, availability and recovery performance.
  • Compare actual performance with assumptions and update improvement priorities.
07Interface with project-risk decisions+
  • Escalate risks that threaten production objectives or invalidate assumptions.
  • Keep assurance actions connected to the project risk register and decision gates.
08Interface with technology qualification+
  • Identify uncertainty in new or changed technology and its production consequences.
  • Agree qualification and test evidence with the responsible specialists.
10Interface with suppliers and logistics+
  • Translate requirements into procurement and supplier information deliverables.
  • Review reliability evidence, spares, support arrangements and long-lead exposure.
11Interface with change control+
  • Assess reliability and production consequences of modifications and operating changes.
  • Update the technical basis, models, tasks and requirements after approval.
12Retain and apply operational learning+
  • Capture recurring issues, decision outcomes and lessons from projects and operations.
  • Feed validated learning into specifications, design practices and future programmes.

ISO 20815 identifies seven core processes and five interacting processes. The process grouping follows the ISO/TC 67 published framework for the 2018 edition; project requirements are checked against the agreed edition, including the 2026 revision.

What we work with

Production and deferment history, system configuration, failure and repair data, operating scenarios and business objectives.

The decision this supports

A defensible basis for selecting production improvements and checking whether they deliver the expected benefit.

How progress can be measured

Production loss by cause; production availability; restoration time; realized benefit against the agreed baseline.

Agree the baseline, definitions and review period with the asset team. Measures are selected for the scope; they are not guaranteed results.

Model results are conditional on data quality and operating assumptions. Production targets and benefits are validated with the asset team.

Engineering references

Relevant engineering references

Applicable editions and requirements are agreed for each asset, jurisdiction and scope. These references describe the engineering basis; they do not imply ReliaEdge certification or endorsement by ISO or API.

AI applications / Expert validation

AI support within this service

  • Classify production-loss narratives and reconcile event records.
  • Identify recurring constraints and candidate drivers for RAM studies.
  • Prepare scenario comparisons for engineer-validated decisions.

Engineers validate failure data, dependencies and modelling assumptions before accepting production forecasts.

Discuss an AI-assisted workflow
Your next step

Discuss the issue affecting your asset.

Tell us the asset context, the current problem and the decision you need to make.

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