Manufacturing Intelligence Application
Cutting Room Explorer
Evidence-led Manufacturing Intelligence for Fabric Cutting Operations
A full-stack investigation workspace that turns cutting-machine records into scoped production insight. Explore what was cut, how workload moved across the floor, what patterns stand out, and which source records support each observation.
Interactive Production Overview
See the cutting room as one connected body of evidence.
The main Explorer brings production scope, cutting metrics, factual signals, hourly activity, marker rankings, and machine summaries into one responsive workspace. Every view stays aligned to the same selected source, dates, and filters.
Why It Is Useful
Built for investigation, not just reporting.
Production totals are only the beginning. Cutting Room Explorer helps a user establish the exact population under review, identify factual patterns, compare workload, and inspect the records behind an observation.
The application deliberately distinguishes recorded activity from utilization and evidence from causation, keeping conclusions grounded in what the data can support.
-
Scope the operation
Choose a workbook, day or date range, pattern category, and production family.
-
See what stands out
Review factual analytical signals alongside the evidence and comparison basis behind them.
-
Follow the workload
Move from floor-level summaries into focused machine and marker investigations.
-
Reach the source
Trace aggregate findings to individual cuts, timing, geometry, interruptions, and source IDs.
Evidence-Driven Investigation
Move from what stands out to the cuts behind it.
Machine and marker workspaces preserve the current source, date range, and manufacturing filters while adding focused comparisons, timelines, decoded marker context, and recorded-cut history. Individual Cut Evidence completes the path with timing, workload, interruption details, and source-record traceability.
How It Works
A coherent path from local production records to auditable investigation.
The application combines XLSX ingestion, manufacturing-aware classification, a shared filtering and aggregation layer, typed interactive views, and record-level evidence. The same scoped population is carried through each step.
- Source & scope
Local XLSX workbooks selected for a day or inclusive date range
- Prepare evidence
Records validated, cleaned, enriched, and classified with manufacturing context
- Serve one population
FastAPI applies the same scope and filters across every evidence view
- Explore operations
Typed dashboards connect KPIs, signals, charts, and sortable summaries
- Investigate records
Machine and marker workspaces drill through to individual cut evidence
Shared source, date, and manufacturing filters
Manufacturing-specific marker decoding
Transparent factual signals with comparison basis
Range-to-day-to-hour investigation paths
Machine and marker evidence workspaces
Individual cut and source-record traceability
Privacy-safe public dataset tooling
Tested data, API, and domain foundations