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Ingegneria di manutenzione e asset tecnologici

Applicazioni della ingegneria di manutenzione per conseguire l'eccellenza operativa degli asset tecnologici

(presentazione in lingua inglese)
- Operational Excellence: what is that..?
- Asset Integrity
- Failures and functions
- Risk Based Maintenance (RBM)
- Functional Safety (SIL Assessment)
- Risk Based Inspection (RBI)
- Reliability Centred Maintenance
- Case Study

Operational Excellence

Operational Excellence is the execution of the business strategy more consistently and reliably than the competition, with lower operational risk, lower operating costs, and increased revenues Well it sounds quite desirable, but it means basically nothing.

How can we do that?

Asset Integrity is the ability of the Physical Asset to perform its required Function, effectively and efficiently, whilst safeguarding People, Environment, Asset and Company Reputation.

Asset Integrity Management is a set of systematic and coordinated activities and practices through which each Business Unit deals with the integrity of its Asset, related Systems and Sub Systems, their associated performance, risks and expenditure over their life cycles.

Asset Integrity includes a variety of tools and techniques focussed on achieving the best performance from physical assets. The following points can be highlighted:

- It is a planned programmed and coordinated effort
- Safety is not considered as opposed to production effectiveness but as a precondition for that a safe asset is an asset which runs smoothly, thus achieving business continuity
- The whole life cycle of the asset should be covered i e including both the design phase and the operational one

Case Study 1: Catalyst production line
GOAL: keeping downtime at a minimum while cutting on unnecessary activities.

Case Study 2: Commuter train
GOAL: reducing Life Cycle Cost and providing a technically sound Maintenance Plan that can be accepted by the Operator and the Authorities.

Attached, you can download the full pdf of the presentation.

Articoli tecnico scientifici o articoli contenenti case history
Fonte: MCMA Bergamo aprile 2023 Tecnologie predittive per la manutenzione preventiva industriale: diagnostica, condition monitoring, 4.0, manutenzione da remoto
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