Determine the failure modes of big data platforms for asset maintenance and the consequence of each.
Building Big Data Analytics Platforms for Industrial Asset Maintenance
An applied course in big data platforms for asset maintenance built around the decisions practitioners actually face.
📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Where maintenance history on big data platforms for asset maintenance is incomplete, every decision becomes a guess. Equipment involved in asset maintenance rarely fails without warning; the warning is usually in data nobody reviewed. Moving the practice within engineering and maintenance work from written policy into daily practice is not achieved by a single decision. The course leaves participants able to diagnose weaknesses in big data platforms for asset maintenance before they become incidents. Participants apply this aspect of engineering and maintenance work to their own asset base throughout, so the output is directly usable. It concentrates on the parts of asset maintenance that determine outcomes and treats the rest proportionately. It is written for people who have to make big data platforms for asset maintenance work with the resources they already have. Across sectors, teams that rehearse asset maintenance outperform teams that only plan it. Participants leave with a plan for the wider engineering and maintenance work agenda sized to what their organisation can realistically absorb.
Expected Learning Outcomes
Maintain drawings and documentation for asset maintenance after modification.
Prepare a short, evidence-based briefing on big data platforms for asset maintenance for senior management.
Specify acceptance criteria for work performed on asset maintenance.
Establish escalation routes for big data platforms for asset maintenance that work outside normal hours.
Build the inspection and test plan covering asset maintenance.
Identify the failure points in big data platforms for asset maintenance most likely to cause loss, and control them first.
Who Should Attend
Coordinators responsible for keeping records and documentation of big data platforms for asset maintenance current.
Maintenance managers and planners responsible for asset maintenance.
Spares and stores controllers supporting big data platforms for asset maintenance.
Finance staff assessing maintenance and replacement spend on asset maintenance.
Plant and facility managers accountable for availability of big data platforms for asset maintenance.
Members of committees that take decisions affecting asset maintenance.
Course Modules
Big data platforms for asset maintenance: history, documentation and competence
2 sessions · 8 pointsSession 1Closing out big data platforms for asset maintenance and capturing what was learned
- Set the review interval for big data platforms for asset maintenance and who attends.
- Confirm isolation and permit requirements before any work on asset maintenance.
- Investigate repeat failures on big data platforms for asset maintenance to root cause, not to component.
- Arrange the handover of asset maintenance so capability survives staff changes.
Session 2Keeping drawings for asset maintenance current after modification
- Assess energy loss attributable to the condition of big data platforms for asset maintenance.
- Build the competence framework that supports asset maintenance.
- Review the last twelve months of maintenance history for big data platforms for asset maintenance.
- Verify contractor competence and method statements for asset maintenance.
Asset maintenance: turnarounds, contractors and scope control
2 sessions · 8 pointsSession 1The paperwork for asset maintenance that is actually needed
- Set maintenance indicators for big data platforms for asset maintenance that reward planning rather than heroics.
- Assign a criticality rating to asset maintenance that drives work order priority.
- Establish who is informed, consulted and accountable in big data platforms for asset maintenance.
- Map the handovers in asset maintenance between functions and secure them.
Session 2What condition data on asset maintenance is telling you early
- Check that records of big data platforms for asset maintenance answer the questions likely to be asked.
- Confirm lubrication, alignment and balance standards applied to asset maintenance.
- Estimate the true cost of one hour of unplanned downtime on big data platforms for asset maintenance.
- Write down the assumptions underpinning the approach to asset maintenance.
Asset maintenance: spares, logistics and availability
2 sessions · 8 pointsSession 1Repair or replace: making the case on asset maintenance
- Establish the boundary of big data platforms for asset maintenance and record what sits outside it.
- Record who is competent to work on asset maintenance and when requalification is due.
- Benchmark the organisation's big data platforms for asset maintenance against comparable operations.
- Prepare the summary of asset maintenance that senior management will read.
Session 2Reviewing big data platforms for asset maintenance when nothing has gone wrong
- Set inspection intervals for big data platforms for asset maintenance from condition data where it exists.
- Define the turnaround scope for asset maintenance and freeze it before mobilisation.
- Decide what will be stopped to create capacity for big data platforms for asset maintenance.
- Collect evidence on the present handling of asset maintenance before proposing changes.
Asset maintenance: life cycle cost, repair versus replace
2 sessions · 8 pointsSession 1Maintenance indicators for asset maintenance that change behaviour
- Identify critical spares for big data platforms for asset maintenance and confirm lead times against consequence.
- Estimate the resource asset maintenance requires to run as designed.
- Define acceptance criteria for completed work on big data platforms for asset maintenance.
- Build the life cycle cost model supporting repair or replace on asset maintenance.
Session 2Choosing a maintenance strategy for asset maintenance on evidence
- List the credible failure modes of big data platforms for asset maintenance and the consequence of each.
- Review whether asset maintenance is aligned with the objectives of the asset base.
- Plan the sequence in which improvements to big data platforms for asset maintenance will be introduced.
- Confirm that reporting on asset maintenance reaches the people who can act.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
We will contact you within one business day to confirm.