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Ten-Second Coherence Test — Which Perspective-Gate Most Disrupts Your Production-to-Market Flow

ICMG Enterprise Anatomy™ Diagnostic Blog


Ten-Second Coherence Test - Manufacturing


Diagnostics Question:

Which P-gate most disrupts your production-to-market flow?


P1 — Strategy (Demand vs capacity)

P2 — Process (Planning, QA, dispatch)

P3 — Systems / Logic (BOM, ERP rules)

P4 — Component Specs (PLC, interface configs)

P5 — Implementation Tasks

P6 — Operations


Which Gate Slows Your Factory Flow?

Vote P1–P6 • Find the weak coherence link.


Executive Context (P1–P2)

Manufacturers have invested billions in ERP, robotics, and supply-chain automation—yet production lines still halt, materials arrive early, and finished goods wait for clearance. The real cause isn’t technology; it’s the loss of structural coherence between P1 (Strategy) and P2 (Process).


Planning assumes stability; reality delivers volatility.


Demand forecasts, supplier variability, and production schedules drift apart. Without a unified anatomy linking these perspectives, efficiency becomes an illusion of motion.


Hidden Anatomy (P3)

Across diagnostics in automotive, heavy engineering, and FMCG plants, the recurring fault line sits at P3 (Systems / Logic).


ERP systems encode planning logic; MES platforms run shop-floor logic; and quality systems track their own thresholds.


Each is “correct” locally—and incompatible globally.


Example: the ERP’s definition of lot complete differs from the MES trigger for inspection start, producing untraceable WIP.


This is not a data error; it’s an anatomy drift in logic.


Component & Implementation (P4–P5)

P4 (Component Specs): PLC tags, interface configurations, and data-mapping tables rarely share one canonical definition.


A line sensor sends OK/Reject signals while the ERP expects Pass/Fail Codes. Minor vocabulary gaps multiply into major stoppages.


P5 (Implementation Tasks): Integrators implement per spec—never per anatomy. Each automation project closes “successfully,” yet coherence across systems keeps eroding.


In one diagnostic, 60 % of machine stoppages labeled communication fault traced back to mismatched field definitions, not hardware.


Operations & Impact (P6)

When the anatomy breaks, operators compensate manually: exporting spreadsheets, re-entering batch data, or delaying dispatch until reports reconcile. These invisible corrections consume 8–12 % of total production time.


Measured impact across three plants:

  • OEE loss ≈ % loss due to reconciliation lags

  • Data re-entry ≈ Y hours per week per shift supervisor

  • Quality release delays ↑ 2× post new ERP integration




Diagnostic Map

Perspective

Anatomy Meaning

Common Manufacturing Failure

Observable Symptom

P1 – Strategy

Product and capacity objectives

Volume targets ignore line constraints

Constant expediting

P2 – Process

Planning → Production → Dispatch

Poor handoffs between planning and QA

Excess WIP & waiting

P3 – Systems / Logic

ERP vs MES vs QMS rules

Conflicting state definitions

Double entry & data mismatch

P4 – Component Specs

PLC tags / APIs / configurations

Inconsistent data types or fields

Frequent interface patches

P5 – Implementation

Build and deploy tasks

Delivered per project, not per enterprise

Correct code, wrong behavior

P6 – Operations

Daily run and maintenance

Manual bridging of logic gaps

Shadow sheets & late reports

Pattern Recognition — Why the Drift Repeats

  1. Functional Optimization: Each unit (Production, Quality, Planning) perfects its own logic. Nobody maintains the connective tissue.

  2. ERP Dominance Myth: Assuming one platform ensures coherence ignores sub-system autonomy.

  3. Vendor Silos: Automation vendors guard their specs instead of adopting a shared anatomy.

  4. Project Metrics Bias: Success = go-live, not coherence.


The result: high local efficiency, low enterprise resilience.



Governance Implications — The Leadership Drift

Manufacturing leadership tracks KPIs like OEE and Throughput, but rarely asks which gate failed structurally. True governance means owning the entire P1–P6 chain as one coherent mechanism.


The Chief Enterprise Architect becomes as critical as the Plant Manager—maintaining the Enterprise Anatomy that keeps machines and decisions in sync.



From Diagnosis to Restoration of Coherence (Advisory Path)

  1. Model the Manufacturing Enterprise Anatomy (P1–P6 × D1–D15 departments).

  2. Run Coherence Tests on order planning, production, and QA flows.

  3. Apply ICMG X-Ray Protocol to find rule and spec mismatches.

  4. Establish Gate Governance reviews across engineering, IT, and supply.

  5. Publish Fast-Track Ratings to quantify drift and track restoration.



Turning Insight into Action

  1. Join the Manufacturing Enterprise Architecture & Anatomy Forum to share your gate results.

  2. Read the full Factory Flow X-Ray Series on the Rating Site.

  3. Request a Fast-Track Coherence Rating for your plant or network.

One Manufacturing. One Anatomy™ | ICMG Enterprise Anatomy™ Diagnostics

 
 

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