Overview

Asset / maintenance managers are increasingly faced with situations in which they have to comply with specified risk and reliability targets or have to demonstrate a cost – benefit analysis of their activities. Governments and regulatory bodies are the main actors in setting such levels of the first type in public private partnerships; the current shareholder interests drive the second. Many companies are involved with ISO 5500 Asset management programmes.

Reliability Engineering (RE), a sub-branch of Operational Research, then is advocated to be an appropriate tool. However, experience shows that the mathematical background of RE in many cases fails to recognise practical situations, assuming information and operational conditions to be known to such extent that precise, in-depth analysis is possible. Practical engineers, generally being risk-aversive, thus have an easy excuse of  shying away from such “advanced scientific techniques” , relying more on technical insight, in many cases “gut  feeling”. However, the RE framework, if properly used, has proved to be an effective tool in decision support.

This workshop aims at such decision makers in the petrochemical area. It will provide the attendants with a
substantiated opinion on system characteristics and analysis, balancing technical insight with theoretical analysis.

Training methodology
The training will be given as a workshop with formal lectures and interactive exercises. Ample opportunities for  discussion and experience sharing will be provided. Practical problems from attendants fit for discussion in class
are welcomed.

Who Should Attend

This workshop is designed to be beneficial to all individuals who are involved in maintenance in the oil and gas  and petrochemical industry. Job titles include but are not limited to

• Maintenance Engineers/Supervisors/Managers
• Operations Engineers/Supervisors/Managers
• Production Engineers/Supervisors/Managers
• Project Engineers/Supervisors/Managers
• Logistics co-ordinators
• Planners
• Plant Manager/ Asset Manager

Key Learning Objectives

• Transform the vision of your organisation from maintenance support to Asset Management
• Deal with decisions requiring a proper understanding of chance and risk
• Analyse system configurations in terms of potential production in relation with reliability and maintenance characteristics
• To select and apply appropriate Reliability and Maintenance engineering methods (FMECA, RBD, FTA, RCM, RBM, CBM) given available information
• Select and store field information to steer and secure this management  process
• Understand the methods that contribute to asset performance, and that interact with and support each other

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