Optimisation examines how a facility behaves and the constraints governing its performance. Operating data and models enable improvement options to be compared within process requirements.
Analysis starts with a representative performance baseline and identification of the factors that affect it. Changes in feed, load or availability may explain differences that are not attributable to a single variable.
Options are assessed with their assumptions and limits. Implementation requires coordination with operations, technical validation and monitoring of the conditions under which the improvement was assessed.
The scope is defined according to asset condition, project stage and available information.
Data, balances and indicators are reviewed to identify constraints and variability. Information quality determines which conclusions can be supported and what needs to be verified.
The analysis links balances, equipment capacity and feed variations. Distinguishing a persistent constraint from a transient condition prevents improvements from being directed at an isolated symptom.
Alternatives are compared using shared performance criteria and constraints. Implementation requires coordinated changes, verified results and a retained baseline against which subsequent behaviour can be interpreted.
Deliverables are agreed when the service is defined. The bases used, results and outstanding checks are documented so that the information can carry through to the next stage.
An initial review confirms what information is available and what needs to be completed. To prepare for that discussion, it is useful to have:
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