How to Build 5 Practical Supply‑Chain Dashboards in Just 2 Hours
This guide walks you through designing five essential supply‑chain dashboards—order overview, material shortage alerts, production progress, inventory health, and supplier performance—detailing the questions to answer, required data, key metrics, and visual layout recommendations for quick, actionable insights.
Overview
This guide describes a set of five supply‑chain management dashboards that together provide a full‑chain monitoring hub, covering order fulfillment, material shortage, production progress, inventory health, and supplier performance.
Core Questions to Answer
Which orders have delivery risk today?
What causes these risks – material shortage, capacity, or logistics?
Is the overall supply chain tight or slack this week?
Answering these requires data on orders, procurement, production, inventory, and finance.
Dashboard 1 – Order Fulfilment Overview
Goal: Show leaders the current status of all orders, risk levels, and high‑pressure customers or product lines.
Data: Order table joined with plan/actual completion dates.
Key calculations: Create a delivery_delta = planned delivery – required delivery; colour‑code: >=0 days (green), -1 to -3 days (yellow), < -3 days (red).
Metrics: Order count/amount by status, risk flags, top‑N customers/products, weekly/monthly OTIF (On‑Time‑In‑Full).
Presentation: Large OTIF number, status pie chart, bar chart of order amount by status, risk‑order ranking, filterable detail table.
Dashboard 2 – Material Shortage Alerts
Goal: Detect material shortages 1–2 weeks in advance.
Data: MRP/requirements, current/in‑transit/reserved inventory, open purchase orders with ETA.
Logic: For each critical material compute cover_days = (available + in‑transit) / daily demand or cover_orders = (available + in‑transit) / order quantity. Identify gaps where demand exceeds supply.
Example: 14‑day demand 10,000 pcs, available 7,000 pcs → shortage 3,000 pcs starting on a specific date.
Metrics: Material coverage days/orders, shortage quantity (and value), affected orders/customers.
Dashboard 3 – Production Progress
Goal: Visualise line‑by‑line WIP and bottlenecks, replacing daily queries to supervisors.
Data: Production work orders, stage‑by‑stage progress, planned vs actual output, WIP counts per line.
Metrics: Daily plan vs actual per line, WIP quantity & average dwell time for critical stages, completion rate, weekly cumulative completion trend.
Presentation: Left: plan vs actual bar chart (red for lagging lines); centre: WIP heatmap; right: weekly completion trend line; bottom: order‑drill‑down table.
Dashboard 4 – Inventory Health
Goal: Decompose total inventory into safety stock, excess, and at‑risk items.
Data: Current stock, turnover days, safety/target stock levels, historical in/out records.
Metrics: Total & excess inventory value, turnover distribution by material tier, count/value of items below safety stock.
Presentation: Top: total inventory and dead‑stock values; middle: lists of low‑risk and high‑risk items; side: inventory by category/warehouse.
Dashboard 5 – Supplier Performance
Goal: Show spend distribution, reliability, and risk of each supplier.
Data: Purchase amounts per supplier, on‑time delivery rates, quality pass rates, price trends, overdue orders, payable balances.
Metrics: Supplier spend share (monthly/quarterly/yearly), delivery & quality rates, price volatility, overdue order count/value, aging of payables.
Presentation: Left: top‑10 spenders bar chart; centre: selected supplier details (rates, price trend); right: risk tiering (green/yellow/red); bottom: overdue order list with contacts.
Integration
Combine the five themed dashboards with a central overview page that links to each, forming a complete supply‑chain monitoring hub. The solution is delivered as a reusable template that can be downloaded and customized for specific data sources.
Old Zhao – Management Systems Only
10 years of experience developing enterprise management systems, focusing on process design and optimization for SMEs. Every system mentioned in the articles has a proven implementation record. Have questions? Just ask me!
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