Heavy Industries are facing the dual challenge, the need to produce product at a higher volume with a greater focus on sustainability goals whilst continuously meeting operating margins and shareholder objectives. An established Asset Performance Management program (APM) that deploys predictive analytics directly impacts those metrics by identifying operational defects and machinery failure modes prior to unplanned failure resulting in lower availability, increased maintenance costs and potential sustainability goals such as lost product or energy.

By deploying predictive analytics, failures that impact plant availability can be detected with a substantial lead time, allowing for a planned intervention to take place. By providing prescriptive analytics and defined causal modes, an intervention can be planned with the business challenges in mind deciding whether to maintain, reduce operational throughput or make operational changes to eliminate or reduce impact of the failure mechanism.

This presentation will address the below points utilising real-world case studies:

• The key challenges that the chemical Industry faces
• Recognizing how an APM program can address these challenges through Value Workshops
• How to adopt a Best-in-class APM Program.
• How to scale a successful APM Program across an enterprise