AVC Webinar - Practical Approach for Minding the Maintenance Gaps - Session 2
Time & Location
About the event
The standard approach for developing planned maintenance has been focused on quantitative-based risks and failures mitigation techniques i.e., RCM, RBI, FMECA, etc., this results in risk-based maintenance activities and interventionists that are technically comprehensive, with resources focused on the most critical systems and equipment, but maintenance optimisation, requires accurate quantitative data. The traditional reliability review process is an onerous task, typically reviewing unstructured maintenance records, potentially stretching back months / years, between reviews.
Implementation of maintenance tasks and activities requires to evolve further beyond the current quantitative-based risks and failures mitigation techniques. Risk need to be more dynamically quantified and the maintenance continually improved to better manage the safety, environmental and business priorities “real-time”.
Martin Scott is a Principal Consultant, working with AVC for the Energy sector, previously Principle consultant for Lloyd's Register Energy, the maintenance lead for 2 x FPSOs in Ghana (MODEC - 2.5-years) and having developed the maintenance and integrity systems for a single FPSO during construction. Prior to that, he acted as a senior maintenance & reliability consultant with Petrofac & MODEC (UK & Singapore for 8-years). Previous career was as a mechanical / electrical engineer in the Royal Navy, multiple roles, but latter roles were as a project desk officer for fleet reliability.
- Introduction 5-min
- Main topic 25-min
- Q&A 15-min
More info on the topic, please download the paper: https://www.addvalue-consultancy.com/post/practical-approach-for-minding-the-maintenance-gaps
Link to session: https://teams.microsoft.com/l/meetup-join/19%3ameeting_YmUyNzU5MTItODRiOS00MTA0LWFjMWYtNWFlNjM0OGMyZjZk%40thread.v2/0?context=%7b%22Tid%22%3a%2238783994-1ad6-4acc-8d18-3f5deba55593%22%2c%22Oid%22%3a%220f801868-b973-4e16-adf4-6a7f003f5a19%22%7d
- AVC Webinar£0£00£0