Building an Asset Reliability Framework – The Six Pillars for Improvement

BUILDING AN ASSET RELIABILITY
FRAMEWORK – THE SIX PILLARS
FOR IMPROVEMENT

Given the myriad of challenges, improving asset reliability management for manufacturing centers requires a nuanced and holistic approach. While the core issue of data transparency is persistent, there are also individual problems across each level that necessitate solutions that can go a long way in addressing shortfalls. With this in mind, here is a six-point strategy that can help organizations build a high-performance framework for improved asset reliability:

Prioritization – Assessing which specific facilities, functions, and areas need to be singled out for improvement initiatives. This is critical for focusing resources on much-needed areas to get maximum efficiency.
Optimization – Existing maintenance strategies and risk-based inspection plans will require constant optimization to achieve desired results. And as the asset framework evolves, priorities will shift and new machinery will be introduced, which will require continual systems optimization for sustained benefits.

Integrity Evaluation – Constant monitoring of asset lifecycles and individual components through real-time data monitoring is needed to assess overall integrity and to schedule effective maintenance before any downtime or production shortfall can occur.
Definition and Integration – Defining viable manufacturing line KPIs and then integrating them with actionable data-driven insights will provide differentiating value for corporate management. This will enable the development of informed strategic decisions and investment planning that ensures effective production processes and enhanced financial returns.
Combination – New technology that combines and integrates with existing asset management and documentation systems will prove crucial in providing a full-scale, data-driven approach. By combining control data with visual playback capabilities, an enhanced awareness system can be created to detect fault events before they occur and take remedial action as quickly as possible.
Insight Generation – Proactive maintenance requires the real-time collection of asset health data to generate timely and relevant insights. With the right monitoring technology, this data can be generated, gathered, and utilized rapidly to provide effective maintenance team results for minimal downtime.