Meet the Leader

Kyle Castor on value creation in basis points

Kyle Castor, Founder & Principal Architect  •  61 seconds  •  Captions  •  AI-rendered presenter from the studio portrait

Transcript

00:00To private equity sponsors and operating partners here in Las Vegas: your post-acquisition value creation shouldn't be trapped in forty-page slide decks.

00:11At DataOngoing, we measure our work strictly in basis points of EBITDA. Two hours of executive input returns hundreds of automated hours, proven in our 100x time ledger.

00:24First, a 48 to 72-hour AI technology diligence read to price technical debt before wiring capital. Second, compressing your 21-day multi-entity close down to 3. Third, automated floor-to-ledger data ingestion straight into NetSuite.

00:44We ship working code in 14-day sprints. If it does not run in production, the milestone is not billed. Visit DataOngoing.ai to schedule a private advisory session.

  1. How we work →
  2. Read the results ledger →
  3. The productized offers →
  4. The Basis-Point Sprint →

Every figure in the brief is published on this site with its source class; the chapter links go to those pages.

Home / Playbooks / Collapsing the 33-Day Scrap Lag: Real-Time Shop-Floor Quality in NetSuite
Playbook 06

Collapsing the 33-Day Scrap Lag: Real-Time Shop-Floor Quality in NetSuite

Paper travelers create a 33-day lag on manufacturing scrap reporting. Discover how DataOngoing deployed real-time shop-floor QMS in NetSuite in 14 days.
Traditional Quality Implementation6 Months ($150k+ Custom Software)
DataOngoing Speed-to-Market14-Day Production Sprint
Scrap Visibility Lag33 Days -> 0 Seconds (Sub-Second UI)
Downstream Scrap Prevented$145,000 Direct Labor Recovered

Managing Manufacturing from the Rearview Mirror

In high-precision aerospace and semiconductor manufacturing, scrap is the single largest operational leak of direct material and labor capital.

Yet at many manufacturing facilities, scrap reporting lags production by weeks. Machinists record defect codes on paper traveler sheets. At the end of the shift, travelers go into cardboard bins. At the end of the month, cost accounting compiles the sheets into Excel and posts a lump-sum variance journal during month-end close.

At one precision manufacturer we audited, the average scrap reporting lag was 33 calendar days:


The Speed-to-Market Solution: Shop-Floor QMS Suitelets

DataOngoing deployed our Shop-Floor Quality & Scrap Engine in a single 14-day agile sprint:

graph TD
    A[Work Center Operation Completed] --> B[Machinist Scans Traveler Barcode on Rugged Tablet]
    B --> C[DataOngoing QMS Suitelet SPA Loads in 180ms]
    C --> D[Operator Enters Good Qty & Defect Qty]
    D --> E{Defects Present?}
    E -->|No| F[Advance Work Order to Next Routing Center]
    E -->|Yes| G[Select Root Cause: Porosity / Dimensional / Crack]
    G --> H[Automated GL Scrap Journal Committed Instantly]
    G --> I[Work Order Line Quarantined / Traveler Barcode Locked]
    I --> J[Real-Time Executive Scrap Dashboard Updates Live]

Immediate System Controls:

  1. Instant ASC 330 Expense Recognition: Scrapped units immediately debit Direct Manufacturing Scrap Expense (GL 5100) and credit WIP Inventory Asset (GL 1250) in real time.
  2. Hard Downstream Routing Locks: The moment an operator logs defect units, NetSuite invalidates the traveler barcode. Downstream machinists cannot scan or charge labor to condemned parts.
  3. Automated Defect Threshold Alerts: If scrap on any production run exceeds 5%, an automated push notification alerts Quality Engineering and the Plant Manager within seconds.

Realized Value

Don't wait for month-end close to discover shop-floor scrap. Digitize quality at the point of manufacture.


See how DataOngoing transforms manufacturing operations at DataOngoing.com.


Source text: markdown version. Oracle and NetSuite are registered trademarks of Oracle Corporation; references are descriptive.

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