---
stepsCompleted:
- step-00-conversion
- step-02-scope-decision-design
- step-03-security-data-handling
- step-04-data-readiness
- step-05-model-v1
- step-06-feasibility-baseline
- step-07-stability-sanity
- step-08-robust-scenarios
- step-09-exec-pack
- step-10-execution-adoption
- step-11-closeout
- step-12-finalize
- step-03-edit-scope-kpis
- step-13-finalize
- step-04-edit-data-handling
- step-05-edit-data-readiness
- step-07-edit-feasibility
- step-09-edit-scenarios
- step-10-edit-exec-pack
- step-11-edit-execution
- step-12-edit-closeout
- data-swap-M2-M4-M5
- data-swap-faker-M2-M4-M5
lastStep: data-swap-faker-M2-M4-M5
date: '2026-01-14'
user_name: Debian
pilot_id: pharma-biotech-pilot-2026-01-14
status: FINAL
runResult: success-closed-out
---

# Pilot Blueprint Pack
## 0. Cover and Metadata
- Shareable copy: yes (anonymized)
- Freeze status: Final demo baseline (no further edits; data swap only)
- Workspace initialized for conversion draft (no source materials).
- Pilot ID: pharma-biotech-pilot-2026-01-14
- Customer/Site: Anonymized Site
- Version: v0.1
- Date: 2026-01-14
- Owner(s): Founder; Product/Tech lead
- Approver(s): Self
- Module versions: constraint library v1; templates v1; workflow v1

## 1. Executive Summary
- Promise (1-2 sentences): Decision-grade planning that optimizes reliability under uncertainty with explicit tradeoffs.
- Decision(s) enabled: Campaign sequence and staffing coverage for the next 6-10 weeks, with risk vs throughput vs overtime tradeoffs.
- Top-line outcomes: Faster alignment, quantified bottlenecks, scenario tradeoffs tied to KPI table, and explainable risk drivers.

**Disclaimer:** This pack provides decision support only. It makes no compliance claims, is not a GMP validation system, and does not replace MES/ERP systems.
## 2. Pilot Charter
- Beachhead use case: Tactical campaign planning for a pharma/biotech site (6-10 week horizon).
- Scope boundaries: Single product family; end-to-end process (DS -> DP -> Fill -> QC -> Release); top resources and constraints only.
- Out of scope: Multi-site planning, real-time MES integration, GMP validation claims, or ERP/MES replacement.
- Primary decision: Campaign sequence and staffing coverage for the next 6-10 weeks.
- Secondary decisions: Identify whether cold storage slots or QC delays are the limiting lever; choose weekend coverage or shift capacity changes.
- Decision owners and cadence: Supply Chain/Planning lead with Production and QA/QC; weekly planning review.

## 3. Stakeholders and Operating Cadence
- Customer champion: Planning/Supply Chain lead (TBD)
- Internal owners: Founder; Product/Tech lead
- Cadence and sign-off points: Weekly working session; sign-offs at M1, M2, M4, M5, M6.

## 4. Success Metrics
- Reliability metric (definition + formula): Probability of zero critical violations. Reliability = 1 - P(hold-time or deadline violation).
- Performance metric (definition + formula): Throughput = total batches completed / week.
- Human metric (definition + formula): Expected overtime hours per week = sum(max(0, required hours - scheduled hours)).
- Baseline measurement method: Current Excel plan for the same horizon (fallback: last comparable period).
- Definition of Done: M1-M7 approved; baseline accepted; 2-3 scenarios produced; recommendation tied to KPIs; adoption test defined.

## 5. Data Inputs and Assumptions
- Data sources provided: Faker stand-in CSVs generated under inputs/real and loaded into inputs/raw (not real site data)
- Completeness score/gaps: Faker stand-in data used; M2 reopened pending re-approval
- Assumptions (list + approver): See assumptions register (stand-in data approved by self)
- Data readiness decision: GO (stand-in data; pending re-approval)
- Data handling plan:
  - Required data types: campaigns/orders, process steps, resources/capacities, calendars, critical constraints
  - Anonymization: mask site/product names
  - Storage location: local pilot workspace (anonymized path)
  - Access controls: founder + product/tech lead only
  - Retention/purge policy: delete or archive after pilot closeout
  - Security review: not run (optional)
## 6. Model Specification
- Process model overview: DEGRADE v1 macro steps (DS -> DP -> Fill -> QC -> Release) with simple precedence chain.
- Resource model: Top resources only, aggregated capacities (suite/room, fill line, cold storage slots, QC lab capacity, operators/QA/QC as pooled capacity). Single shared calendar assumed for now.
- Constraint coverage (Hard/Soft/Monitor):
  - Hard: precedence, hold-time max, time windows, capacity conflicts, cold storage capacity, QC capacity
  - Soft: skills/qualification availability, changeover/cleaning time
  - Monitor: separation-of-duties, campaign grouping/batching
## 7. Uncertainty and Risk Policy
- Uncertainty representation (min/typical/max):
- Risk metric choice:
- Risk stance (threshold/lexicographic):

## 8. Planning Outputs and Scenarios
- Deterministic baseline schedule: exports/baseline-schedule.csv (faker stand-in data)
- Robust scenarios (2-3 minimum): conservative, balanced, aggressive (faker stand-in data)
- Risk decomposition (top drivers): attachments/risk-decomposition.md (faker stand-in data)
- Stability sanity check: attachments/stability-sanity-check.md (synthetic demo)

### Scenario Comparison (KPI Summary)
| Scenario | Reliability | Performance | Human Load | Notes |
| --- | --- | --- | --- | --- |
| Conservative | 0.90 | 8 batches/week | Low overtime | Synthetic demo |
| Balanced | 0.80 | 10 batches/week | Moderate overtime | Synthetic demo |
| Aggressive | 0.65 | 12 batches/week | High overtime | Synthetic demo |
## 9. Recommendation
- Recommended scenario: Balanced (P_success 0.80) based on KPI tradeoff and risk decomposition
- Tradeoffs (what improves, what risk is accepted): +throughput vs moderate overtime and accepted risk; conservative reduces risk at cost of throughput
- Monday-morning next steps: Replace synthetic inputs with site data, re-run baseline + scenarios, re-approve M2/M4/M5, then execute adoption test
## 10. Pilot Execution Plan
- Re-plan cadence: Weekly planning cycle; mid-week review if deviations occur.
- RACI: Data updates (planner), model updates (product/tech lead), scenario generation (product/tech lead), decision approval (planning lead + QA/QC), exec readout (founder).
- Measurement and reporting: Compare against current Excel baseline; report weekly deltas on KPIs.
- Adoption test evidence: attachments/adoption-test-evidence.md (explicit pass criteria)
## 11. Validation Checklist and Sign-offs
- M0: PASS (Owner/Approver: self; 2026-01-14)
- M1: PASS (Owner/Approver: self; 2026-01-14)
- M1.5 (if used): PASS (Owner/Approver: self; 2026-01-14)
- M2: PASS (Owner/Approver: self; 2026-01-14)
- M3: PASS (Owner/Approver: self; 2026-01-14)
- M4: PASS (Owner/Approver: self; 2026-01-14)
- M4.5 (if used): PASS (DEGRADE placeholder; Owner/Approver: self; 2026-01-14)
- M5: PASS (Owner/Approver: self; 2026-01-14)
- M6: PASS (Owner/Approver: self; 2026-01-14)
- M7: PASS (Owner/Approver: self; 2026-01-14)
- M8 (if used): PASS (placeholder closeout; Owner/Approver: self; 2026-01-14)
- Approver log: M1 approved by self on 2026-01-14; M1.5 approved by self on 2026-01-14; M2 (DEGRADE) approved by self on 2026-01-14; M3 approved by self on 2026-01-14; M4 approved by self on 2026-01-14; M4.5 approved by self on 2026-01-14; M5 approved by self on 2026-01-14; M6 approved by self on 2026-01-14; M7 approved by self on 2026-01-14; M8 approved by self on 2026-01-14

## 12. Appendices
- Data templates:
- KPI glossary + formula registry:
- Constraint library references:
- Optional add-ons:
  - SOP extraction notes
  - Integration/security notes: data handling plan approved; no external references used
  - Capacity/investment scenarios
  - Changeover/sequence-dependent modeling
  - As-executed comparison
  - ROI calculator sheet

- Closeout artifacts: attachments/pilot-run-report.md, attachments/library-merge-log.md (synthetic closeout)