Industrial Manufacturing · Anonymous use case
Check whether the optimizer solves the business problem
A planning assurance use case examining model coverage, cost logic and user acceptance.
The situation
The decision behind the challenge.
An implementation can contain an optimizer yet leave important materials, alternatives or economic drivers outside its scope. Manual sourcing choices made before the solve can also restrict the decisions the optimizer is allowed to improve.
The approach
Connect the decisions, data and operating process.
- Trace each critical business requirement to an input, decision, constraint or output.
- Review whether upstream materials, alternate resources and customer-level service are represented at the required detail.
- Validate economic coefficients and compare like-for-like results with the incumbent method.
- Make quality, feasibility, assumptions and reasons for unfulfilled demand understandable to planners.
Measures that matter
Define what a better result means.
- Requirements coverage
- Feasibility and economic performance on shared test cases
- Explanation and reproducibility of results
- Business acceptance and support readiness
Start a conversation
Which decision would create the most value?
Let’s discuss the operating challenge, the decisions behind it and what a better result would look like.