Translate the research results into industrial production processes

Translate last quarter's pilot reactor yields into an industrial process estimate for the production team. Take the pilot run data, convert per‑kg reagent consumption and energy use to a 1‑ton output using the provided scale factors, calculate expected yield loss at scale using a 3% derating factor, and produce a clear sheet showing per‑ton reagent needs and a weekly throughput plan for the plant operations meeting on Wednesday.

Before I give this to production, make the conversion clear to non-research staff. Put the per-ton reagent and energy figures up top, explain where the 3% scale derate came from and how sensitive the total cost is to a 1% change, and flag the three assumptions that would make a production manager hesitate to commit to the schedule.

I applied the scale factors to convert pilot data to a one-ton basis and the reagent totals are far off compared with the last conversion I did. The scale multipliers are the same numbers I used before, but some per-run entries look duplicated. I'm worried I accidentally scaled an already-scaled column. What checks will quickly reveal whether I double-scaled data, and how do I fix it while preserving an audit trail so production trusts the numbers?

We repeatedly waste time reconciling pilot-to-plant conversions because every engineer uses a different ad-hoc workbook and production questions the numbers. What workbook structure, naming conventions, and a minimal verification routine will stop repeated conversions and build credibility with operations?