Optimising Equipment Maintenance & Replacement Decisions

Introduction

Major world companies from the process and petrochemical industry have developed their maintenance practices based on the optimisation 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 optimisation 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 reliability of the equipment in operation, 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. 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 optimisation including equipment replacement. Various optimisation techniques will be presented and the optimisation 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 the team work and classroom discussions.

This GLOMACS 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

By the end of this training course, the participants will be able to:

• Identify equipment failures, and the impact on plant reliability
• Understand the cost-effectiveness of Preventive / Predictive Maintenance program
• Apply techniques of optimisation 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 optimisation

Training Methodology

This Optimising Equipment Maintenance & Replacement Decisions training course will be conducted along workshop principles with formal lectures and interactive examples, which will result in the active participation of all delegates in discussions and teamwork of problem solving. There will be several class-workshops during which case studies and real life problems will be solved in team work. This will provide understanding of the problems and illustrate the efficient application of modern maintenance optimisation technologies. There will be ample opportunities for active, open discussions and sharing professional experiences on various industrial applications. All training course materials will be provided.

Organisational Impact

On completion of this Optimising Equipment Maintenance & Replacement Decisions training course, the delegates will be able to analyze the operation and maintenance of various stationary and rotating equipment installed within the organization and suggest potential improvement in maintenance procedure where required.

The knowledge gained in this training course will: 

• Enable the delegates to optimize the operation and maintenance of various equipment
• Give the delegates skill to analyze efficiency of equipment maintenance techniques
• Enable measures to optimize maintenance for the given application
• Give better insight to the safety of equipment maintenance and replacement decisions

Personal Impact

• Improved confidence when solving problems of maintenance of various equipment
• Better understanding of how optimized maintenance impacts equipment reliability
• Better knowledge of equipment instrumentation regarding failure prevention
• Improved personal skills of analysis of spare part handling and optimization
• Better ability to troubleshoot difficult situations