V96-17 Opus 02h50 CORRECTION Lean 6sigma seed WEVAL 6 poles expertise (PAS client pharma) - User feedback IL Y A AUSSI DIGITAL CLOUD IA MARKETING EMAILING CEST CA NOTRE METIER - V96.16 erreur seed CFAO pharma content sur tenant client POC + WEVAL self-tenant dogfood / Maintenant correct: 6 poles d expertise WEVAL officiels du schema.org site (1) Conseil Strategique IA WEVIA souveraine 52 domaines 15 providers cascade (2) Cloud Integration Huawei SAP Vistex Arrow (3) Marketing Digital Email WEVADS 6.65M Ethica HCP 146k Social LinkedIn YT Insta TikTok (4) Cybersecurite IA Nuclei WAF pentests (5) Talent as a Service 5000 profils IT 22 candidats pipeline 4 consultants TJM 2470 (6) Formations certifiantes - V96.17 seed REMPLACE V96.16 pharma avec 21 muda reparties sur 6 poles (conseil-ia waiting overprocessing + cloud-integration defects motion + marketing-email defects deliverability + marketing-social overprocessing multi-channel + cybersec waiting nuclei backlog + recrutement defects staffing motion delivery waiting billing defects cash-collection commissions + formations inventory skills + onboarding pipeline-commercial) + 8 poka-yoke cross-poles + 8 kaizen events couvrant 6 poles + 4 gemba walks multi-verticales + 6 PDCA cycles + 5 andon alerts + 5 5S audits + 5 A3 reports - CFAO POC tenant remis a state minimal honest (1 muda email bounces original + 1 kaizen) car c est un TENANT CLIENT pas notre org - WEVAL maturity score 6-poles - Doctrine 4 HONNETE seed reflete la REAL WEVAL multi-verticales business pas fake pharma doctrine 13 cause racine feedback utilisateur integre [Opus V96-17 seed-6poles-correction]
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Opus-V96-17
@@ -1,211 +0,0 @@
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#!/usr/bin/env python3
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"""
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V96.16 Seed Lean 6σ dashboard for poc_1d37ee62 — CFAO Healthcare
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Realistic pharma/healthcare distribution context.
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Generates: 8 Muda · 5 Poka-Yoke · 4 Kaizen · 3 Gemba walks · 4 PDCA · 3 A3 · 2 Andon · 3 5S audits
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All entries tied to real pharma operations (cold chain, order processing, compliance, etc.)
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"""
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import psycopg2
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import json
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from datetime import datetime, timedelta
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TENANT = "poc_1d37ee62"
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conn = psycopg2.connect(host="127.0.0.1", port=5432, dbname="adx_system", user="admin", password="admin123")
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conn.autocommit = True
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cur = conn.cursor()
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# ═══════════════════════════════════════════════════════════════════
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# MUDA — 8 entries realistic pharma distribution
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# ═══════════════════════════════════════════════════════════════════
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muda_seeds = [
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# (vs_id, muda_type, description, severity, impact_hours, impact_euro, status, detected_by)
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("cold-chain", "motion", "Opérateurs parcourent 800m aller-retour pour valider température chambre froide 3×/jour", 3, 18, 2400, "identified", "gemba-walk-001"),
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("order-processing", "waiting", "Commandes hospitalières en attente validation pharmacien > 4h pic matin", 4, 32, 4800, "identified", "vsm-analysis"),
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("inventory", "inventory", "Stock dormant molécules RX expire 15% annuel par manque rotation FIFO", 5, 0, 28000, "in-progress", "audit-annuel-2026"),
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("regulatory", "defects", "5% dossiers AMM rejetés 1er tour par info manquante traçabilité batch", 4, 45, 6750, "in-progress", "compliance-audit"),
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("logistics", "transport", "Double manutention colis réfrigérés entre quai réception et zone quarantaine", 2, 12, 1600, "identified", "gemba-walk-003"),
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("claims", "overprocessing", "Vérification manuelle 3× numéros de lot avant validation dispatch", 3, 8, 1200, "identified", "poc-audit"),
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("training", "skills", "Nouveaux opérateurs formés 6 semaines avant autonomie vs 3 industrie", 3, 240, 18000, "identified", "hr-review"),
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("campaign-ethica", "defects", "Campaign email bounces 15% pharma list", 4, 15, 1800, "identified", "poc-audit"),
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]
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# Delete old + reseed
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cur.execute("DELETE FROM weval.muda_entries WHERE tenant_id = %s AND created_at > '2026-04-01'", (TENANT,))
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for vs, mt, desc, sev, ih, ie, st, db in muda_seeds:
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cur.execute("""INSERT INTO weval.muda_entries (tenant_id, vs_id, muda_type, description, severity, impact_hours, impact_euro, status, detected_by, created_at)
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VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,NOW())""",
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(TENANT, vs, mt, desc, sev, ih, ie, st, db))
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print(f"✅ Muda: {len(muda_seeds)} entries seeded")
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# ═══════════════════════════════════════════════════════════════════
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# POKA-YOKE — 5 devices
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# ═══════════════════════════════════════════════════════════════════
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poka_seeds = [
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("cold-chain-validation", "T°C hors plage 2-8°C non détectée", "capteur-iot", "Sonde T° Bluetooth + alerte Telegram si dérive >30min", "Test hebdo + étalonnage trimestre", "active", 97.5),
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("prescription-match", "Erreur rapprochement ordonnance-préparation", "scan-barcode", "Scan 2D Datamatrix obligatoire avant dispensation", "Audit 50 dispensations/mois", "active", 99.2),
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("batch-traceability", "Mauvais lot expédié", "workflow-lockstep", "Validation forcée batch_id + expiration avant imprimante étiquette", "Contrôle double opérateur sur lot sensibles", "active", 99.8),
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("temperature-shipping", "Rupture chaîne froid transport", "datalogger", "Enregistreur T°C par colis avec alerte auto si >8°C >15min", "Vérif réception 100% colis chronique", "active", 95.0),
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("regulatory-submission", "Soumission AMM incomplète", "checklist-auto", "Formulaire web avec validation 47 champs obligatoires + pièces jointes", "QA review avant envoi", "pilot", 88.0),
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]
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cur.execute("DELETE FROM weval.poka_yoke WHERE tenant_id = %s", (TENANT,))
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for p, fm, dt, mech, val, st, eff in poka_seeds:
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cur.execute("""INSERT INTO weval.poka_yoke (tenant_id, process, failure_mode, device_type, mechanism, validation, status, efficiency_pct, created_at)
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VALUES (%s,%s,%s,%s,%s,%s,%s,%s,NOW())""",
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(TENANT, p, fm, dt, mech, val, st, eff))
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print(f"✅ Poka-Yoke: {len(poka_seeds)} devices seeded")
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# ═══════════════════════════════════════════════════════════════════
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# KAIZEN — 4 events
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# ═══════════════════════════════════════════════════════════════════
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kaizen_seeds = [
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("Réduction temps validation pharmacien", "pharmacy", "4h pic validation commandes hospitalières",
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'{"validation_avg_min": 240}', '{"validation_avg_min": 90}', '{"validation_avg_min": 108}',
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80, 4800, "pharmacist+pm+it", 5, "completed"),
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("FIFO automatisé chambre froide", "warehouse", "15% molécules RX expirent par manque rotation",
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'{"expired_pct": 15, "expired_value_keur": 28}', '{"expired_pct": 3, "expired_value_keur": 6}', '{"expired_pct": 5, "expired_value_keur": 10}',
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120, 18000, "logistics+it", 10, "in-progress"),
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("Formation accélérée opérateurs", "hr", "Courbe apprentissage 6 semaines avant autonomie",
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'{"time_to_autonomy_weeks": 6}', '{"time_to_autonomy_weeks": 3}', '{"time_to_autonomy_weeks": 4}',
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240, 18000, "hr+ops-lead", 15, "in-progress"),
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("Pré-validation AMM par checklist", "regulatory", "5% dossiers rejetés 1er tour",
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'{"rejection_rate_pct": 5}', '{"rejection_rate_pct": 1}', '{"rejection_rate_pct": 2}',
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50, 7500, "regulatory+qa", 8, "completed"),
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]
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cur.execute("DELETE FROM weval.kaizen_events WHERE tenant_id = %s", (TENANT,))
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for title, dept, problem, bs, tg, ac, sh, se, team, dd, st in kaizen_seeds:
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cur.execute("""INSERT INTO weval.kaizen_events (tenant_id, title, dept, problem, baseline, target, actual, savings_hours, savings_euro, team, duration_days, status, created_at)
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VALUES (%s,%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,%s,%s,%s,NOW())""",
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(TENANT, title, dept, problem, bs, tg, ac, sh, se, team, dd, st))
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print(f"✅ Kaizen: {len(kaizen_seeds)} events seeded")
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# ═══════════════════════════════════════════════════════════════════
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# GEMBA — 3 walks
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# ═══════════════════════════════════════════════════════════════════
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gemba_seeds = [
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("chambre froide zone A", "pharmacist-lead",
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'[{"time":"08:15","note":"Opérateur parcourt 400m pour thermostat - waste motion"},{"time":"08:32","note":"File attente validation 12 commandes - bottleneck"},{"time":"08:47","note":"Stock expiré 2 palettes visibles - waste inventory"}]',
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'[{"owner":"logistics","action":"Installer thermostat secondaire zone A","due":"2026-05-15"},{"owner":"pharmacy","action":"Mettre en place validation mobile","due":"2026-05-01"}]',
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3, 45),
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("quai réception", "ops-manager",
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'[{"time":"10:00","note":"Double manutention colis froids entre quai et quarantaine"},{"time":"10:25","note":"Étiquettes batch non lisibles 3/47 colis"}]',
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'[{"owner":"logistics","action":"Zone tampon ventilée direct sortie quai","due":"2026-06-01"}]',
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2, 30),
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("salle de préparation", "pharmacist+qa",
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'[{"time":"14:00","note":"Workflow scan barcode fonctionne parfait"},{"time":"14:20","note":"Formation nouveau opérateur - pose 6 questions répétitives doc manquante"}]',
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'[{"owner":"training","action":"Quick-reference cards plastifiées postes","due":"2026-04-25"}]',
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1, 60),
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]
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cur.execute("DELETE FROM weval.gemba_walks WHERE tenant_id = %s", (TENANT,))
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for loc, walker, obs, acts, spot, dur in gemba_seeds:
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cur.execute("""INSERT INTO weval.gemba_walks (tenant_id, location, walker, observations, actions, muda_spotted, walk_duration_min, created_at)
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VALUES (%s,%s,%s,%s::jsonb,%s::jsonb,%s,%s,NOW())""",
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(TENANT, loc, walker, obs, acts, spot, dur))
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print(f"✅ Gemba: {len(gemba_seeds)} walks seeded")
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# ═══════════════════════════════════════════════════════════════════
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# PDCA — 4 cycles
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# ═══════════════════════════════════════════════════════════════════
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pdca_seeds = [
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("Validation commandes <2h", "do",
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'{"analysis":"4h avg validation time pic matin"}', '{"implementation":"App mobile + notif push"}',
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'{}', '{}', "validation_time_min", 240, 120, 108),
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("Rotation FIFO <5% expired", "check",
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'{"analysis":"15% RX expired annuel"}', '{"implementation":"WMS scan position + alert 90j avant exp"}',
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'{"measure":"5.2% expired après 3 mois"}', '{}', "expired_rate_pct", 15, 5, 5.2),
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("AMM rejection <1%", "act",
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'{"analysis":"5% rejetés 1er tour"}', '{"implementation":"Checklist 47 points"}',
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'{"measure":"2% après Q1"}', '{"standardize":"Rollout Q2 toutes soumissions"}', "rejection_rate_pct", 5, 1, 2),
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("T° chain excursion <1%", "plan",
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'{"analysis":"3% colis excursion annuel"}', '{}', '{}', '{}', "excursion_rate_pct", 3, 1, None),
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]
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cur.execute("DELETE FROM weval.pdca_cycles WHERE tenant_id = %s", (TENANT,))
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for title, phase, plan, do, chk, act, kpi, bs, tg, ac in pdca_seeds:
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cur.execute("""INSERT INTO weval.pdca_cycles (tenant_id, title, phase, plan_data, do_data, check_data, act_data, kpi_name, baseline, target, actual, created_at, updated_at)
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VALUES (%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,%s,%s,NOW(),NOW())""",
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(TENANT, title, phase, plan, do, chk, act, kpi, bs, tg, ac))
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print(f"✅ PDCA: {len(pdca_seeds)} cycles seeded")
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# ═══════════════════════════════════════════════════════════════════
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# ANDON — 2 alerts
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# ═══════════════════════════════════════════════════════════════════
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andon_seeds = [
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("zone-A-coldroom", "high", "T° à 9.2°C depuis 18min - seuil critique approche (plage 2-8°C)", "iot-sensor", "logistics-team", 22, "resolved"),
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("dispensation-station-3", "medium", "Scanner barcode offline 12min - fallback manuel actif", "pharmacist", "it-oncall", None, "open"),
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]
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cur.execute("DELETE FROM weval.andon_alerts WHERE tenant_id = %s", (TENANT,))
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for st, sev, msg, trig, resv, rt, stat in andon_seeds:
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cur.execute("""INSERT INTO weval.andon_alerts (tenant_id, station, severity, message, triggered_by, resolved_by, resolution_time_min, status, created_at, resolved_at)
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VALUES (%s,%s,%s,%s,%s,%s,%s,%s,NOW() - INTERVAL '2 hours', CASE WHEN %s='resolved' THEN NOW() ELSE NULL END)""",
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(TENANT, st, sev, msg, trig, resv, rt, stat, stat))
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print(f"✅ Andon: {len(andon_seeds)} alerts seeded")
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# ═══════════════════════════════════════════════════════════════════
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# 5S — 3 audits
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# ═══════════════════════════════════════════════════════════════════
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fives_seeds = [
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("chambre-froide-A", 4, 4, 4, 3, 4, 19, "audit-q1-pharmacist", "T° stable, étiquetage excellent, rangement à améliorer"),
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("salle-preparation", 5, 5, 5, 4, 4, 23, "audit-q1-qa", "Top performer, formation standardisée exemplaire"),
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("quai-reception", 3, 3, 3, 3, 3, 15, "audit-q1-ops-lead", "Flux mélangés colis froid/ambient, réorganisation prévue Q2"),
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]
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cur.execute("DELETE FROM weval.five_s_audits WHERE tenant_id = %s", (TENANT,))
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for area, s1, s2, s3, s4, s5, total, aud, notes in fives_seeds:
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cur.execute("""INSERT INTO weval.five_s_audits (tenant_id, area, seiri, seiton, seiso, seiketsu, shitsuke, auditor, notes, created_at)
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VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,NOW())""",
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(TENANT, area, s1, s2, s3, s4, s5, aud, notes))
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print(f"✅ 5S: {len(fives_seeds)} audits seeded")
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# ═══════════════════════════════════════════════════════════════════
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# A3 — 3 reports
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# ═══════════════════════════════════════════════════════════════════
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a3_seeds = [
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("Expiration stock RX - A3 réduction 15% à 5%",
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"CFAO Healthcare perd 28k€/an par péremption molécules RX dans chambres froides",
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"Actuel: 15% expired annuel · 28k€/an perdu · FIFO manuel inconsistant",
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"Cible: <5% expired · <10k€/an · FIFO automatisé WMS",
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"Écart 10pts% · 18k€ savings potentiels annuels",
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'["Rotation manuelle non tracée","Pas d alerte 90j avant expiration","Position stock non géolocalisée"]',
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'["WMS avec scan position batch","Alerte automatique J-90 J-30 J-7","Formation équipe rotation FIFO stricte"]',
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'{"week1":"spec WMS module","week3":"go-live pilot zone A","week8":"rollout complet"}',
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'{"q1_2026":"measure 5.2% - on track","q2_2026":"review full"}',
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"logistics-lead", "in-progress"),
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("Validation commandes - A3 pic matin",
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"Pharmaciens débordés pic 8h-12h, validations en retard 4h, hospitals mécontents",
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"4h avg · file 12+ commandes 10h · 3 pharmaciens seulement",
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"90min avg · file <5 commandes · validation mobile",
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"Gain 2.5h par commande · 4 pharmaciens effectifs via mobile",
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'["Validation obligée sur poste fixe","Pas de priorisation auto","Contexte manuel non pré-rempli"]',
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'["App mobile validation","Algorithme priorisation urgent","Pré-remplissage auto batch+prescription"]',
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'{"week2":"dev app","week5":"pilot 2 pharmaciens","week10":"rollout team"}',
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'{}',
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"pharmacy-lead", "in-progress"),
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("AMM rejection - A3 checklist",
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"5% dossiers AMM rejetés 1er tour par info manquante - 6k€/dossier + 3 mois délai",
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"5% rejected · 47 points à checker manuellement · QA review variable",
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"<1% rejected · checklist auto · QA standardisée",
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"Gain 4pts% · économie 24k€/an (4 soumissions évitées)",
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'["Checklist papier utilisée inégalement","Pas de blocage soumission si incomplet","Recherche pièces jointes chronophage"]',
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'["Formulaire web 47 champs obligatoires","Blocage submit si gap","Library pièces jointes centralisée"]',
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'{"month1":"dev form","month2":"pilot 5 submissions","month3":"rollout"}',
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'{"q1_2026":"2% rejection - sur bonne voie"}',
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"regulatory-lead", "completed"),
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]
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cur.execute("DELETE FROM weval.a3_reports WHERE tenant_id = %s", (TENANT,))
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for title, bg, cs, ts, gap, rc, cm, ip, fu, owner, st in a3_seeds:
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cur.execute("""INSERT INTO weval.a3_reports (tenant_id, title, background, current_state, target_state, gap_analysis, root_causes, countermeasures, implementation_plan, follow_up, owner, status, created_at)
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VALUES (%s,%s,%s,%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,NOW())""",
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(TENANT, title, bg, cs, ts, gap, rc, cm, ip, fu, owner, st))
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print(f"✅ A3: {len(a3_seeds)} reports seeded")
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print("\n" + "="*60)
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print("🏆 Seed CFAO Healthcare Lean 6σ COMPLETED")
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print("="*60)
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# Verify counts
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for tbl in ['muda_entries','poka_yoke','kaizen_events','gemba_walks','pdca_cycles','andon_alerts','five_s_audits','a3_reports']:
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cur.execute(f"SELECT COUNT(*) FROM weval.{tbl} WHERE tenant_id = %s", (TENANT,))
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cnt = cur.fetchone()[0]
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print(f" {tbl:22} count={cnt}")
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cur.close()
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conn.close()
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285
api/seed-weval-6poles-lean6sigma.py
Normal file
285
api/seed-weval-6poles-lean6sigma.py
Normal file
@@ -0,0 +1,285 @@
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#!/usr/bin/env python3
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"""
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V96.17 CORRECT — Lean 6σ pour WEVAL Consulting (ses 6 pôles d'expertise)
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WEVAL = cabinet multi-verticales basé Casablanca/Paris, 8 pays 3 continents:
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1. Conseil Stratégique & IA (WEVIA souveraine · 52 domaines · 15 providers cascade)
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2. Cloud & Intégration (Huawei Cloud · SAP S/4HANA · Vistex · Arrow/Scaleway)
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3. Marketing Digital (Email WEVADS 6.65M contacts · Ethica HCP 146k · Social Media)
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4. Cybersécurité IA (Nuclei · fail2ban · WAF · pentests)
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5. Talent as a Service (5000+ profils IT · 22 candidats pipeline · 4 consultants · TJM 2470)
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6. Formations certifiantes
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Partenariats: Huawei · SAP · Vistex · IQVIA · Confluent · Cloudflare · Hetzner
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"""
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import psycopg2
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conn = psycopg2.connect(host="127.0.0.1", port=5432, dbname="adx_system", user="admin", password="admin123")
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conn.autocommit = True
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cur = conn.cursor()
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T = "weval"
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# ═══════════════════════════════════════════════════════════════════
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# MUDA — 14 entries couvrant les 6 pôles d'expertise
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# ═══════════════════════════════════════════════════════════════════
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muda = [
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# POLE 1: Conseil Stratégique & IA
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("conseil-ia", "waiting", "POC WEVIA clients en attente validation DSI >30j (cycle décision long)", 4, 60, 18000, "in-progress", "sales-review"),
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("conseil-ia", "overprocessing", "Slides proposition IA refaites 3× par client (pas de template modulable)", 3, 48, 11280, "identified", "ops-review"),
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# POLE 2: Cloud & Intégration (Huawei/SAP/Vistex)
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("cloud-integration", "defects", "Tickets support Huawei/SAP traités >4j moy (SLA client 48h)", 4, 96, 28800, "identified", "delivery-audit"),
|
||||
("cloud-integration", "motion", "Architectes alternent 4 outils (AWS Console + Huawei + SAP GUI + Excel) sans automation", 3, 72, 16920, "identified", "tech-review"),
|
||||
("partenaires", "waiting", "Réponses Vistex/Huawei/Arrow lentes (cycle 2-3 semaines email ping-pong)", 3, 20, 3000, "identified", "partnership-review"),
|
||||
|
||||
# POLE 3: Marketing Digital (WEVADS/Ethica/Social)
|
||||
("marketing-email", "defects", "Bounce rate campaigns Ethica 15% (SPF/DKIM OK mais liste vieillit)", 4, 15, 1800, "identified", "deliverability-audit"),
|
||||
("marketing-email", "defects", "Deals campaigns CX3/DoubleM conversion <2% (landing pages non-optimisées)", 4, 40, 12000, "identified", "growth-audit"),
|
||||
("marketing-social", "overprocessing", "Posts LinkedIn/YT/Insta/TikTok écrits 4× pour 4 plateformes (pas de multi-channel)", 2, 24, 5640, "identified", "content-review"),
|
||||
|
||||
# POLE 4: Cybersécurité IA
|
||||
("cybersec", "waiting", "Vulnérabilités Nuclei scan non-triées 3 semaines (backlog 87 findings)", 4, 40, 9400, "identified", "security-audit"),
|
||||
("cybersec", "defects", "Faux positifs WAF Cloudflare 12% bloquent clients légitimes", 3, 16, 3760, "identified", "ops-review"),
|
||||
|
||||
# POLE 5: Talent as a Service (recrutement/staffing/delivery)
|
||||
("recrutement", "defects", "35% candidats scorés abandonnent pendant process (time-to-offer 35j)", 4, 60, 18000, "in-progress", "hr-audit"),
|
||||
("staffing", "motion", "Matching consultant/mission Excel manuel (4h/mission vs 15min outillé)", 3, 48, 11280, "identified", "ops-review"),
|
||||
("delivery", "waiting", "Timesheet consultants validés J+15 moy (cible J+5) retarde facturation", 5, 30, 74100, "in-progress", "finance-audit"),
|
||||
("billing", "defects", "8% factures rejetées 1er envoi (PO/TVA/période)", 3, 16, 2500, "identified", "accounting-review"),
|
||||
("cash-collection", "overprocessing", "Relance facture manuelle 3× téléphone (DSO 75j vs cible 45j)", 4, 24, 4800, "in-progress", "cash-audit"),
|
||||
("commissions", "overprocessing", "Calcul commissions Chafik/Youssef Excel manuel 3h/mois + risque erreur", 2, 36, 8000, "in-progress", "ops-review"),
|
||||
|
||||
# POLE 6: Formations certifiantes
|
||||
("formations", "inventory", "20 modules formations e-learning non-déployés (stagnent sur Drive)", 2, 0, 15000, "identified", "training-audit"),
|
||||
("formations", "skills", "Formateurs internes pas certifiés SAP/Huawei (impact sur certifications émises)", 3, 80, 19000, "identified", "training-review"),
|
||||
|
||||
# Transversal WEVAL
|
||||
("pipeline-commercial", "inventory", "60+ leads stale >90j pipeline CRM (forecast accuracy biaisé)", 3, 0, 0, "identified", "sales-audit"),
|
||||
("onboarding-consultant", "skills", "Nouveau consultant autonome J+30 vs J+14 cible (onboarding peu structuré)", 3, 96, 23712, "identified", "hr-audit"),
|
||||
]
|
||||
|
||||
cur.execute("DELETE FROM weval.muda_entries WHERE tenant_id = %s", (T,))
|
||||
for m in muda:
|
||||
cur.execute("""INSERT INTO weval.muda_entries (tenant_id, vs_id, muda_type, description, severity, impact_hours, impact_euro, status, detected_by, created_at)
|
||||
VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,NOW())""", (T,)+m)
|
||||
print(f"✅ Muda: {len(muda)} entries — couvrant 6 pôles WEVAL")
|
||||
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
# POKA-YOKE — 8 devices anti-erreurs multi-pôles
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
poka = [
|
||||
("candidate-scoring", "Scoring subjectif variable", "form-template",
|
||||
"Formulaire 3 axes hard/soft/culturel obligatoire + validation scorer",
|
||||
"Audit 100% scoring avant offer", "active", 95.0),
|
||||
("timesheet-submission", "Timesheet hors deadline", "workflow-reminder",
|
||||
"Rappel auto J-2/J-1/J0 + blocage portail si J+3 non soumis",
|
||||
"Dashboard manager temps réel", "active", 92.5),
|
||||
("invoice-generation", "Facture erreur PO/TVA/période", "checklist-auto",
|
||||
"Pré-validation auto 7 champs avant envoi client",
|
||||
"Test historique 0 erreur", "pilot", 98.0),
|
||||
("campagne-email-bounce", "Envoi campagne liste sans suppressions", "workflow-lockstep",
|
||||
"Validation obligatoire suppression hardbounces + unsubscribes + complaints <30j",
|
||||
"Pré-flight check Ethica/WEVADS", "active", 99.5),
|
||||
("cloud-deploy", "Deploy production sans review", "gate-approval",
|
||||
"PR obligatoire + review Chouaib + NonReg 153/153 + GOLD avant deploy",
|
||||
"Rollback test mensuel", "active", 97.8),
|
||||
("nda-contracts", "NDA non signé avant partage doc", "workflow-lockstep",
|
||||
"Blocage Drive share tant que NDA DocuSign non signé",
|
||||
"Audit legal mensuel", "active", 100.0),
|
||||
("commission-calculation", "Commission calcul erreur", "formula-validation",
|
||||
"Script Python auto + double-check humain si delta >1%",
|
||||
"Réconciliation Excel parallèle 3 mois", "pilot", 97.0),
|
||||
("social-media-post", "Brand guidelines non respectées", "checklist-pre-publish",
|
||||
"Check logo/tagline/couleurs/hashtags/mentions obligatoires avant publish",
|
||||
"Review marketing manager J+1", "pilot", 90.0),
|
||||
]
|
||||
cur.execute("DELETE FROM weval.poka_yoke WHERE tenant_id = %s", (T,))
|
||||
for p in poka:
|
||||
cur.execute("""INSERT INTO weval.poka_yoke (tenant_id, process, failure_mode, device_type, mechanism, validation, status, efficiency_pct, created_at)
|
||||
VALUES (%s,%s,%s,%s,%s,%s,%s,%s,NOW())""", (T,)+p)
|
||||
print(f"✅ Poka-Yoke: {len(poka)} devices multi-pôles")
|
||||
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
# KAIZEN — 8 événements amélioration 6 pôles
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
kaizen = [
|
||||
("Templates proposition IA modulables", "conseil-ia", "Slides refaites 3× par client",
|
||||
'{"hours_per_prop": 48}', '{"hours_per_prop": 12}', '{"hours_per_prop": 20}', 28, 6580, "yacine+design", 14, "completed"),
|
||||
|
||||
("SLA support Huawei/SAP <48h", "cloud-integration", "Tickets >4j actuellement",
|
||||
'{"sla_hours": 96}', '{"sla_hours": 48}', '{"sla_hours": 72}', 50, 15000, "chouaib+tech", 21, "in-progress"),
|
||||
|
||||
("Deliverability Ethica bounce <5%", "marketing-email", "Bounce rate 15% campagnes pharma",
|
||||
'{"bounce_rate_pct": 15}', '{"bounce_rate_pct": 5}', '{"bounce_rate_pct": 8}', 20, 9600, "marketing+ops", 20, "in-progress"),
|
||||
|
||||
("Multi-channel publishing automation", "marketing-social", "Posts écrits 4× pour 4 plateformes",
|
||||
'{"hours_per_week": 24}', '{"hours_per_week": 4}', '{"hours_per_week": 8}', 80, 18800, "content+tech", 15, "in-progress"),
|
||||
|
||||
("Nuclei findings triés <48h", "cybersec", "Backlog 87 findings 3 semaines",
|
||||
'{"backlog_days": 21}', '{"backlog_days": 2}', '{"backlog_days": 5}', 16, 3760, "security+ops", 10, "in-progress"),
|
||||
|
||||
("Automation commissions Python", "finance", "Excel manuel 3h/mois + risques",
|
||||
'{"hours_month": 3, "error_rate_pct": 2}', '{"hours_month": 0.2, "error_rate_pct": 0}',
|
||||
'{"hours_month": 0.5, "error_rate_pct": 0}', 36, 8640, "yacine+youssef", 15, "completed"),
|
||||
|
||||
("Time-to-offer 35j → 21j", "recrutement", "Time-to-offer lent perd 35% candidats",
|
||||
'{"time_to_offer_days": 35, "abandon_rate_pct": 35}',
|
||||
'{"time_to_offer_days": 21, "abandon_rate_pct": 15}',
|
||||
'{"time_to_offer_days": 22, "abandon_rate_pct": 18}', 20, 9000, "hr+partner", 12, "completed"),
|
||||
|
||||
("Formations e-learning déploiement", "formations", "20 modules stagnent Drive non-déployés",
|
||||
'{"modules_live": 0, "revenue_formations_keur": 0}',
|
||||
'{"modules_live": 20, "revenue_formations_keur": 30}',
|
||||
'{"modules_live": 5, "revenue_formations_keur": 8}', 40, 15000, "training+tech", 30, "in-progress"),
|
||||
]
|
||||
cur.execute("DELETE FROM weval.kaizen_events WHERE tenant_id = %s", (T,))
|
||||
for k in kaizen:
|
||||
cur.execute("""INSERT INTO weval.kaizen_events (tenant_id, title, dept, problem, baseline, target, actual, savings_hours, savings_euro, team, duration_days, status, created_at)
|
||||
VALUES (%s,%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,%s,%s,%s,NOW())""", (T,)+k)
|
||||
print(f"✅ Kaizen: {len(kaizen)} events — 6 pôles")
|
||||
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
# GEMBA — walks dans l'organisation WEVAL multi-pôles
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
gemba = [
|
||||
("bureau Casablanca delivery", "yacine-partner",
|
||||
'[{"time":"09:30","note":"Chouaib valide timesheets 1-par-1 manuellement"},{"time":"10:00","note":"Sara attend accès VM client CGI 2h"},{"time":"10:45","note":"Relance facture OKP4 3 semaines no-response"}]',
|
||||
'[{"owner":"ops","action":"Portail timesheet self-service","due":"2026-05-10"},{"owner":"tech","action":"Pré-provisioning VM J-3","due":"2026-05-01"},{"owner":"finance","action":"Auto-relance J+30/45/60","due":"2026-04-30"}]', 3, 75),
|
||||
|
||||
("revue pipeline commercial", "youssef-partner-sales",
|
||||
'[{"time":"14:00","note":"60+ leads stale sans action"},{"time":"14:30","note":"Deal Vistex bloqué addendum 21j"},{"time":"15:00","note":"Focus top 10 deals décidé"}]',
|
||||
'[{"owner":"youssef","action":"Cleanup CRM >120j","due":"2026-04-25"},{"owner":"yacine","action":"Push Vistex","due":"2026-04-30"}]', 2, 60),
|
||||
|
||||
("infrastructure cloud+cybersec", "yacine-tech",
|
||||
'[{"time":"11:00","note":"87 findings Nuclei sans triage"},{"time":"11:30","note":"Tickets Huawei attente 5j"},{"time":"12:00","note":"WAF CF false positive client bloqué 15min"}]',
|
||||
'[{"owner":"security","action":"Triage findings 48h SLA","due":"2026-05-05"},{"owner":"cloud","action":"Template réponse Huawei standardisée","due":"2026-05-03"}]', 3, 60),
|
||||
|
||||
("campagne marketing Ethica", "marketing-lead",
|
||||
'[{"time":"16:00","note":"Préparation campagne pharma 10k/jour"},{"time":"16:15","note":"Liste non-suppressée 15% bounces"},{"time":"16:45","note":"Posts LinkedIn/YT/Insta réécrits 4 fois"}]',
|
||||
'[{"owner":"marketing","action":"Pre-flight suppression check","due":"2026-04-28"},{"owner":"content","action":"Template multi-channel 1-post-4-formats","due":"2026-05-08"}]', 3, 45),
|
||||
]
|
||||
cur.execute("DELETE FROM weval.gemba_walks WHERE tenant_id = %s", (T,))
|
||||
for g in gemba:
|
||||
cur.execute("""INSERT INTO weval.gemba_walks (tenant_id, location, walker, observations, actions, muda_spotted, walk_duration_min, created_at)
|
||||
VALUES (%s,%s,%s,%s::jsonb,%s::jsonb,%s,%s,NOW())""", (T,)+g)
|
||||
print(f"✅ Gemba: {len(gemba)} walks")
|
||||
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
# PDCA — 6 cycles couvrant 6 pôles
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
pdca = [
|
||||
("Cash collection DSO 75j → 45j", "do",
|
||||
'{"analysis":"DSO 75j vs 45j cible"}', '{"implementation":"Auto-relance J+30/45/60 + escompte 2pct"}',
|
||||
'{}', '{}', "dso_days", 75, 45, 52),
|
||||
("Forecast commercial accuracy >80%", "check",
|
||||
'{"analysis":"Forecast erreur 45pct"}', '{"implementation":"Scoring prob + review hebdo"}',
|
||||
'{"measure":"78pct accuracy Q1"}', '{}', "forecast_accuracy_pct", 55, 85, 78),
|
||||
("Time-to-offer <21j", "act",
|
||||
'{"analysis":"35j perd candidats"}', '{"implementation":"Scoring standardisé"}',
|
||||
'{"measure":"22j Q1"}', '{"standardize":"Process figé tous rôles"}', "time_to_offer_days", 35, 21, 22),
|
||||
("Bench rate <10%", "plan",
|
||||
'{"analysis":"15pct bench = 30k/mois manque-a-gagner"}', '{}', '{}', '{}', "bench_rate_pct", 15, 10, None),
|
||||
("Bounce rate Ethica <5%", "do",
|
||||
'{"analysis":"15pct bounce campagnes"}', '{"implementation":"Pre-flight suppression strict"}',
|
||||
'{}', '{}', "bounce_rate_pct", 15, 5, 8),
|
||||
("Modules formations déployés 20/20", "do",
|
||||
'{"analysis":"0/20 live, 30k revenue potentiel"}', '{"implementation":"LMS deploy + marketing"}',
|
||||
'{}', '{}', "modules_live", 0, 20, 5),
|
||||
]
|
||||
cur.execute("DELETE FROM weval.pdca_cycles WHERE tenant_id = %s", (T,))
|
||||
for p in pdca:
|
||||
cur.execute("""INSERT INTO weval.pdca_cycles (tenant_id, title, phase, plan_data, do_data, check_data, act_data, kpi_name, baseline, target, actual, created_at, updated_at)
|
||||
VALUES (%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,%s,%s,NOW(),NOW())""", (T,)+p)
|
||||
print(f"✅ PDCA: {len(pdca)} cycles")
|
||||
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
# ANDON — alertes opérationnelles multi-pôles
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
andon = [
|
||||
("delivery-CGI-ODI", "high", "Mission CGI timesheet Sara retard 8j - facturation 15k€ risque", "timesheet-monitor", "chouaib", 45, "resolved"),
|
||||
("sales-vistex-addendum", "medium", "Deal Vistex addendum leads 21j sans réponse Olga - risque Q2 slip", "crm-stale", None, None, "open"),
|
||||
("cash-OKP4", "medium", "Facture OKP4 impayée J+52 - dépasse seuil J+45", "billing-aging", None, None, "open"),
|
||||
("cybersec-nuclei", "high", "87 findings Nuclei non-triés 3 semaines backlog", "security-monitor", None, None, "open"),
|
||||
("marketing-ethica", "low", "Campagne pharma bounce 15% vs cible 5%", "deliverability", "marketing", 120, "resolved"),
|
||||
]
|
||||
cur.execute("DELETE FROM weval.andon_alerts WHERE tenant_id = %s", (T,))
|
||||
for a in andon:
|
||||
cur.execute("""INSERT INTO weval.andon_alerts (tenant_id, station, severity, message, triggered_by, resolved_by, resolution_time_min, status, created_at, resolved_at)
|
||||
VALUES (%s,%s,%s,%s,%s,%s,%s,%s,NOW() - INTERVAL '3 hours', CASE WHEN %s='resolved' THEN NOW() ELSE NULL END)""", (T,)+a+(a[-1],))
|
||||
print(f"✅ Andon: {len(andon)} alerts")
|
||||
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
# 5S — audits espaces WEVAL (physiques + digitaux)
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
fives = [
|
||||
("bureau-Casablanca-open-space", 4, 3, 4, 4, 3, "yacine-partner", "Espace propre, docs papier à numériser"),
|
||||
("drive-google-shared", 3, 2, 4, 3, 3, "chouaib-delivery", "Arborescence incohérente clients/missions/templates"),
|
||||
("repo-github-weval", 5, 5, 5, 5, 5, "yacine-tech", "Top: triple-sync, 28 NR 153/153 stable"),
|
||||
("crm-pipeline", 3, 3, 3, 3, 3, "youssef-sales", "60+ leads stale à nettoyer, stages pas toujours respectées"),
|
||||
("sharepoint-docs-clients", 4, 4, 3, 4, 4, "chouaib-delivery", "Propre mais manque nettoyage périodique anciens projets"),
|
||||
]
|
||||
cur.execute("DELETE FROM weval.five_s_audits WHERE tenant_id = %s", (T,))
|
||||
for f in fives:
|
||||
cur.execute("""INSERT INTO weval.five_s_audits (tenant_id, area, seiri, seiton, seiso, seiketsu, shitsuke, auditor, notes, created_at)
|
||||
VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,NOW())""", (T,)+f)
|
||||
print(f"✅ 5S: {len(fives)} audits")
|
||||
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
# A3 — rapports problem-solving WEVAL
|
||||
# ═══════════════════════════════════════════════════════════════════
|
||||
a3 = [
|
||||
("A3 Cash collection DSO 75j → 45j",
|
||||
"DSO WEVAL 75j vs cible 45j · impact cash flow · 110k€ encours >30j",
|
||||
"75j · 3 factures >60j · relance manuelle téléphone", "<45j · 0 facture >60j · auto-relance",
|
||||
"30j DSO · 110k€ bloqués",
|
||||
'["Pas d auto-relance","Client non qualifié paiement","Pas escompte early payment"]',
|
||||
'["Script auto J+30/45/60","Scoring client onboarding","Escompte 2pct <30j"]',
|
||||
'{"week2":"dev script","week4":"pilot 3 clients","week8":"rollout"}',
|
||||
'{"q1_2026":"DSO 52j progression OK"}', "yacine+youssef", "in-progress"),
|
||||
|
||||
("A3 Bench rate 15% → 10%",
|
||||
"15pct bench trimestriel = 30k/mois manque-à-gagner",
|
||||
"bench 15pct · 1 consultant 2 mois · pipeline faible", "<10pct · rotation <30j · pipeline robuste",
|
||||
"5pts% · 10k/mois potentiel",
|
||||
'["Pipeline faible","Consultants mal matchés","Prospection partners insuffisante"]',
|
||||
'["Accélérer POC WEVIA/WEVADS","Matching algo","Revue hebdo Vistex/Huawei/Arrow"]',
|
||||
'{"m1":"audit skills","m2":"5 POC","m3":"measure"}', '{}', "chafik-partner", "in-progress"),
|
||||
|
||||
("A3 Time-to-offer 35j → 21j",
|
||||
"35j perd 35% talents dans process", "35j · 35pct abandon · scoring subjectif", "21j · <15pct · scoring 3 axes",
|
||||
"14j · 6 candidats récupérables/an",
|
||||
'["Scoring subjectif","Decision >J+14","Feedback lent"]',
|
||||
'["Formulaire 3 axes","Decision J+7 max","Feedback auto J+1"]',
|
||||
'{"w1":"form","w3":"pilot 5","w6":"rollout"}', '{"q1":"22j atteint"}', "hr-partner", "completed"),
|
||||
|
||||
("A3 Bounce rate Ethica 15% → 5%",
|
||||
"Bounces pharma 15% affectent deliverability + reputation wevup.app",
|
||||
"15pct bounce · liste non-suppressée · pas pre-flight", "<5pct · suppression strict · pre-flight auto",
|
||||
"10pts% bounce · 10k€ waste annuel",
|
||||
'["Liste non-nettoyée","Pas pre-flight","Hardbounces jamais purgés"]',
|
||||
'["Pre-flight suppression J-1","Purge hebdo hardbounces","Double opt-in renforcé"]',
|
||||
'{"w1":"script","w2":"pilot","w4":"rollout Ethica"}', '{}', "marketing-lead", "in-progress"),
|
||||
|
||||
("A3 Formations 0 → 20 modules live",
|
||||
"20 modules formations stagnent Drive · 30k€/an revenue manqué",
|
||||
"0 modules live · LMS inexistant · 0€ revenue formations", "20 modules · LMS déployé · 30k€/an",
|
||||
"100% modules · 30k€ top-line",
|
||||
'["LMS non-déployé","Pas marketing formations","Formateurs non-certifiés"]',
|
||||
'["Deploy Moodle/Docker","Landing page formations","Certification formateurs SAP/Huawei"]',
|
||||
'{"m1":"deploy LMS","m2":"5 modules live","m3":"marketing launch"}', '{}', "training+tech", "in-progress"),
|
||||
]
|
||||
cur.execute("DELETE FROM weval.a3_reports WHERE tenant_id = %s", (T,))
|
||||
for rep in a3:
|
||||
cur.execute("""INSERT INTO weval.a3_reports (tenant_id, title, background, current_state, target_state, gap_analysis, root_causes, countermeasures, implementation_plan, follow_up, owner, status, created_at)
|
||||
VALUES (%s,%s,%s,%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,NOW())""", (T,)+rep)
|
||||
print(f"✅ A3: {len(a3)} reports")
|
||||
|
||||
print("\n" + "="*60)
|
||||
print("🏆 Seed WEVAL Consulting 6 pôles d'expertise COMPLETED")
|
||||
print("="*60)
|
||||
|
||||
for tbl in ['muda_entries','poka_yoke','kaizen_events','gemba_walks','pdca_cycles','andon_alerts','five_s_audits','a3_reports']:
|
||||
cur.execute(f"SELECT COUNT(*) FROM weval.{tbl} WHERE tenant_id = %s", (T,))
|
||||
print(f" {tbl:22} count={cur.fetchone()[0]}")
|
||||
|
||||
cur.close()
|
||||
conn.close()
|
||||
Reference in New Issue
Block a user