Supply Chain Diagnostic Assessment

An independent, structured assessment that examines supply chain operations end-to-end, digging into data, processes, and workflows to identify the root causes of inefficiencies — not just the symptoms. Typically the first deliverable in any supply chain consulting engagement.

Standard Assessment Structure

Duration: 2–4 days on-site (initial diagnostic phase). Full assessment including analysis: 2–6 weeks depending on scope.

Three data collection methods run in parallel:

1. Personnel interviews — cross-functional, multi-level. Functions covered: Finance, Sales, Operations, Supply Chain, Engineering, Customer Service
2. Data analysis — financial records, WMS/ERP extracts, operational KPIs
3. Facility tours — direct observation of current operations

Validation principle: Qualitative observations from interviews must be cross-referenced against quantitative data. When they diverge, the divergence is itself a finding.

The Six Assessment Pillars (SCOR-Aligned)

Pillar	What’s assessed
Plan	Demand forecasting accuracy; S&OP process maturity; inventory policy; supply/demand balancing
Source	Procurement strategy; supplier evaluation and performance; make-vs-buy; contract structure
Make / Operations	Production flow; lean maturity; quality systems; capacity utilization
Deliver / Warehousing	Inventory management; pick/pack/ship operations; multi-channel fulfillment
Deliver / Transportation	Mode selection; carrier management; routing optimization; freight cost
Return	Returns processing; reverse logistics; closed-loop sustainability

SCOR Model — The Diagnostic Framework

The Supply Chain Operations Reference (SCOR) model is the cross-industry standard diagnostic tool for supply chain management. Published by ASCM (formerly APICS).

6 process domains:

• Plan — Balance aggregate demand and supply
• Source — Procure goods and services
• Make — Transform product to finished state
• Deliver — Fulfill demand (order management, transportation, installation)
• Return — Handle reverse flows
• Enable — Manage rules, performance, data, resources, contracts, risk, compliance

3-level hierarchy:

• Level 1: Scope (what processes are in play)
• Level 2: Configuration (type of supply chain — make-to-stock, make-to-order, engineer-to-order)
• Level 3: Process elements with performance attributes and best practices

5 performance attributes:

Attribute	What it measures	Key metrics
Reliability	Supply chain delivers the right product to the right place, right time, right condition, right quantity	Perfect Order Fulfillment
Responsiveness	Speed of supply chain	Order Fulfillment Cycle Time
Agility	Ability to respond to external influences	Upside/Downside Flexibility
Cost	Cost of operating the supply chain	Total Cost to Serve
Asset Management Efficiency	Effective use of assets	Inventory Days of Supply, Cash-to-Cash Cycle

How consultants use SCOR:

1. Current state mapping: Document processes at Level 2–3 detail
2. Benchmarking: Compare performance against SCOR industry benchmarks (parity, advantage, superior)
3. Gap identification: Flag gaps between current performance and benchmark targets
4. Improvement development: Select and sequence best practices from the SCOR best practice library
5. Implementation: Pilot, measure, scale

Benchmarking in Diagnostics

Benchmarks give the gap its number. Without them, “inventory turns are low” is a qualitative observation. With benchmarks, “inventory turns are 6× vs. industry median of 10× and best-in-class 18×” is an actionable finding.

Benchmark sources used in supply chain consulting:

• APQC Process Classification Framework — process cost benchmarks
• WERC (Warehousing Education and Research Council) — DC operations benchmarks
• Gartner Supply Chain Top 25 — strategic performance benchmarks
• SCOR Digital Standard — industry-specific benchmarks across all 5 performance attributes

Benchmark framing: Express gaps in financial terms wherever possible. “Our forecast accuracy is 68% vs. best-in-class 92%” is less persuasive than “Our 68% forecast accuracy generates $4.2M in excess inventory at current carrying costs.”

Diagnostic Report Deliverables

Deliverable	Description
Current state process maps	End-to-end product and information flow
Performance data summary	KPI baseline across all 5 SCOR attributes
Gap analysis	Current vs. benchmark, quantified in financial terms
Root cause analysis	Why the gap exists (not just what the gap is)
Prioritized opportunity register	Improvements ranked by impact, effort, and risk
ROI calculations	Financial case for top opportunities
Transformation roadmap (high-level)	Phased improvement sequence

Current State vs. Root Cause Distinction

The most common diagnostic failure: treating a gap as a root cause rather than a symptom.

Example:

• Symptom: “Inventory turns are 6×”
• Wrong root cause: “We have too much inventory”
• Actual root cause: Forecast error at SKU level is 47% (MAPE), driving safety stock to 3× what a 20% MAPE would require, because S&OP has no statistical safety stock policy — planners set stock by gut feel

The root cause identifies what process, system, or policy must change. The symptom only tells you there is a problem.

Citwell’s As-Is / To-Be Framework

Citwell’s approach adds three diagnostic dimensions beyond the six pillars:

• Processes — how work is sequenced and executed
• Flows — how product and information moves between nodes
• Organization — how teams are structured and how decisions are made

The iterative sharing approach — distributing summary notes throughout the project rather than waiting for a final report — builds team buy-in progressively and surfaces client-side objections early.

Recommendations should be “achievable and adapted” to the client’s organizational context and internal capacity — not generic framework output applied without modification.