ABSTRACT
Chapter 4 ties together many of the concepts described in earlier chapters, such as event frames and offline analysis, as the digital transformation team at ProcIndustries attempts to understand and resolve a gap between scheduled production targets and actual production output. They design and prototype the digital plant template for tracking variances. The template components analyzed are production rate and consumable variables through various stages of the refining process. The team generates enterprise industrial data infrastructure (EIDI) event frames to track for these operational stages, which when reviewed, determine exactly when and where hidden production and energy losses occur. After pilot testing, they now have a reusable template that they can deploy to the entire refinery on a unit-by-unit basis. This chapter describes a more advanced solution to analyze trouble time, idle time, and downtime, through the use of event frames and the digital plant template.
