Optimizing Equipment Maintenance and Replacement Decisions
| Start Date | End Date | Venue | Fees (US $) | ||
|---|---|---|---|---|---|
| Optimizing Equipment Maintenance and Replacement Decisions | 31 May 2026 | 04 Jun 2026 | Abu Dhabi, UAE | $ 3,900 | Register |
| Optimizing Equipment Maintenance and Replacement Decisions | 06 Sept 2026 | 10 Sept 2026 | Istanbul, Turkey | $ 4,500 | Register |
| Optimizing Equipment Maintenance and Replacement Decisions | 15 Nov 2026 | 19 Nov 2026 | Al-Khobar, KSA | $ 4,500 | Register |
Optimizing Equipment Maintenance and Replacement Decisions
| Start Date | End Date | Venue | Fees (US $) | |
|---|---|---|---|---|
| Optimizing Equipment Maintenance and Replacement Decisions | 31 May 2026 | 04 Jun 2026 | Abu Dhabi, UAE | $ 3,900 |
| Optimizing Equipment Maintenance and Replacement Decisions | 06 Sept 2026 | 10 Sept 2026 | Istanbul, Turkey | $ 4,500 |
| Optimizing Equipment Maintenance and Replacement Decisions | 15 Nov 2026 | 19 Nov 2026 | Al-Khobar, KSA | $ 4,500 |
Introduction
Major world companies from the process and petrochemical industry have developed their maintenance practices based on the optimization of predictive maintenance management system. This approach works well for both stationary and rotating equipment and includes continuous condition monitoring and the detailed inspection of vital elements of the equipment. The optimization of the maintenance activities includes the spare parts handling, the selection of the right size and skill of maintenance crew with consideration of potential outsourcing i.e. subcontracting. Based on the collected data on the reliability of the equipment in operation, the Maintenance department can complete the Fitness for Service analysis based on which the decision can be made about 3Rs: Run, Repair or Replace, for the particular component of the equipment. The final decision regarding equipment replacement depends very much on the economic and safety aspect that must be taken into consideration.
This Optimising Equipment Maintenance & Replacement Decisions training course is intended to introduce the participant to the process of making decisions regarding equipment maintenance optimization including equipment replacement. Various optimization techniques will be presented and the optimization criteria explained. This training course will include several workshops with case studies and real-world problems to be solved. This will enable all participants to actively take part in teamwork and classroom discussions.
This training course will feature:
- Main Types of Equipment Failure Mechanisms
- Maintenance Methodologies and Economic Aspects
- Spare Parts Handling and Storage Modeling
- Risk Assessment and Management
- Equipment Inspection and Fitness for Service Analysis
Objectives
- Identify equipment failures and the impact on plant reliability
- Understand the cost-effectiveness of Preventive / Predictive Maintenance program
- Apply techniques of optimization of various maintenance activities
- Define criteria for work-crew size, spare parts and equipment replacement
- Make the important decision on the basis of the cost and benefit analysis
- Incorporate safety objectives to the equipment repair or replacement optimization
By the end of this training course, the participants will be able to:
Training Methodology
This is an interactive course. There will be open question and answer sessions, regular group exercises and activities, videos, case studies and presentations on best practice. Participants will have the opportunity to share with the facilitator and other participants on what works well and not so well for them, as well as work on issues from their own organizations.
Who Should Attend?
Personnel who should attend are:
- The operation, Technical Production & Service Professionals
- Technical Professionals responsible for maintenance and repair of equipment
- Professionals involved in inspection and reliability
- Technical Professionals dealing with risk assessment and integrity analysis
- Technicians dealing with regulating and metering and other measurements
Course Outline
DAY 1: Physical Asset Management & Failure Analysis
- Physical Asset Management
- Maintenance Management: Preventive / Predictive Approach
- Nature and Modes of Equipment Failure
- Failure Modes & Effect Analysis (FMEA)
- Analysis of Component Failure data using the Weibull Distribution
- Censored Data, the 3-Parameter Weibull, and the Kolmogorov-Smirnov Test
DAY 2: Preventive Maintenance & Spare Parts Replacements
- Reliability and Availability Concept: MTBF & MTTR
- Reliability Improvement through Reduction of Downtime
- Maintenance Performance Quantification
- Preventive Maintenance & Spare Part Handling
- Spare Parts Provisioning: Prediction Models and Techniques
- Management of Change: In-Kind Spare Parts
DAY 3: Equipment Inspection & Fitness for Service
- Condition Monitoring & Inspection
- Risk-Based Inspection (RBI)
- Risk Matrix: Management and Mitigation Measures
- Reliability Improvement through Inspection
- Inspection Scope & Frequency
- Fitness For Service Analysis (FFS)
DAY 4: Economics of Maintenance, Repair & Replacement
- Management of Maintenance Resources
- Effective Use of CMMS
- Maintenance Organization Analysis: Crew size
- Equipment Repair or Replacement Decision
- Economic Aspect of Maintenance Outsourcing: Subcontract
- Economic Aspect of Equipment Replacement
DAY 5: Total Productive Maintenance & Safety
- Capital Investment in Equipment and Maintenance: ROI
- Total Productive Maintenance
- Safety in Maintenance Work
- KPI and OEE: Leading and Lagging Indicators

