Demonstration · Illustrative data · BI Consulting Services

Wayne Combustion Systems × BI Consulting Services Plant Operations & Quality Board · 3623 Independence Drive, Fort Wayne, Indiana

Prepared for Seth
September 2026

What an outside Power BI build of the Fort Wayne plant would look like: production output by burner family, OEE and downtime by cell, first-pass yield and scrap, on-time delivery, warranty returns and open backlog — one board, refreshed from the shop-floor and ERP feeds. Filters below recalculate every tile, chart and callout.

Plant scorecard

Weekly output vs plan Burners built per week · plan line · week-over-week

Built (gas families)Built (oil families)Plan

What this board answers Three questions from the discovery call

Independence Drive plant floor — live cell status Fabrication → sub-assembly → final assembly → fire-test stands → pack & ship

Running at rateConstrained (>12% lost time)Bottleneck (>20% lost time)Idle for this filter

Lost hours by cause Downtime Pareto across the selected cells

Output by burner family

Warranty returns by defect code Returns per 1,000 built · failure mode from RMA disposition

Open backlog & on-time delivery by market Units on order at end of window · weeks of cover at current rate

Ask the data AI layer over the same model — natural-language question, governed answer

Why did OTD slip for Food Service last month?Which fire-test stand loses the most hours?Show scrap by supplier lot
Demonstration · Illustrative data · BI Consulting Services
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Private AI on your own server

The "ask the data" ideas on this board are designed to run on a GPU server inside your own network — an open-weight model over your own documents, cited answers, no per-seat licence, nothing leaving the building. The short deck below explains how it works. Scroll through, or download it as a PDF.

Private AI Servers — slide 1 of 14
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Private AI Servers — slide 14 of 14

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