Module 9 – Supply Chain KPIs & Data Awareness

Module Overview

Welcome to Module 9 of the EFOS Logistics & Supply Chain Management course.

This module introduces Key Performance Indicators (KPIs) used to monitor logistics and supply chain operations. Students will learn how organizations measure delivery performance, order accuracy, inventory movement, warehouse utilization, vehicle utilization, freight costs, and other operational results.

The module also develops basic data interpretation skills so students can understand reports, identify performance gaps, and communicate findings to supervisors.

Learning Objectives

By the end of this module, students will be able to:

• Explain the meaning and purpose of KPIs.

• Identify common logistics and supply chain performance indicators.

• Understand basic KPI formulas and calculations.

• Interpret operational figures and simple dashboards.

• Recognize performance gaps and possible causes.

• Understand the importance of accurate and timely data.

• Communicate findings using clear, evidence-based observations.

Topics Covered

1. Introduction to KPIs

KPI (Key Performance Indicator) is a measurable value used to evaluate progress or performance against a defined operational objective.

KPIs help organizations:

• Monitor operational performance.

• Identify delays and recurring errors.

• Compare actual results with targets.

• Support planning and decision-making.

• Communicate performance to teams and management.

• Identify opportunities for improvement.

A KPI should have a clear definition, a reliable data source, a reporting period, and a suitable target where applicable.

2. On-Time Delivery (OTD)

On-Time Delivery measures the proportion of eligible deliveries completed on or before the agreed delivery date or time, according to the organization's definition.

A common formula is:

On-Time Delivery (%) = (On-Time Deliveries ÷ Total Eligible Deliveries) × 100

Illustrative example:

A company completes 1,000 eligible deliveries during a reporting period. Of these, 920 are delivered on time.

OTD = (920 ÷ 1,000) × 100 = 92%

This means 92% of the eligible deliveries met the defined on-time requirement.

A lower result may prompt investigation into transportation delays, dispatch planning, stock availability, inaccurate delivery estimates, or other causes.

3. Order Accuracy

Order Accuracy measures how often orders are fulfilled correctly according to defined requirements, such as product, quantity, and order details.

A common formula is:

Order Accuracy (%) = (Correct Orders ÷ Total Orders Assessed) × 100

Illustrative example:

If 970 out of 1,000 assessed orders are correct:

Order Accuracy = (970 ÷ 1,000) × 100 = 97%

Errors may result from picking mistakes, incorrect order entry, inaccurate inventory records, or packing and labelling issues.

4. Inventory Turnover

Inventory Turnover indicates how frequently inventory is sold or consumed relative to the average inventory held during a period.

A commonly used formula is:

Inventory Turnover = Cost of Goods Sold ÷ Average Inventory Value

The result is generally expressed as a turnover ratio for the selected period.

Interpretation depends on the business, product type, and reporting period. Low turnover may indicate excess or slow-moving stock, while very high turnover may also reflect insufficient inventory.

Inventory turnover should be reviewed alongside service levels, stockouts, and demand patterns.

5. Fill Rate

Fill Rate measures the proportion of demand fulfilled from available stock, according to the organization's selected definition.

One common unit-based formula is:

Unit Fill Rate (%) = (Units Supplied Immediately ÷ Total Units Ordered) × 100

Illustrative example:

A customer orders 500 units, and 450 units are supplied immediately from available stock.

Unit Fill Rate = (450 ÷ 500) × 100 = 90%

Organizations may also measure fill rate by order or order line, so the formula and definition should always be checked before comparing results.

6. Order Cycle Time and Delivery Lead Time

Order Cycle Time measures the elapsed time between defined order-processing milestones, such as order placement and order fulfilment or delivery.

Delivery Lead Time refers to the time between the specified start and end points in the delivery process.

The precise definitions vary by organization and report.

Monitoring these measures helps teams understand how long customers wait, identify bottlenecks, and review the impact of order processing, inventory availability, warehouse operations, and transportation.

7. Warehouse Utilization

Warehouse Utilization measures how much of a defined warehouse resource or capacity is being used.

A common space-based formula is:

Warehouse Space Utilization (%) = (Space Occupied ÷ Usable Storage Space) × 100

Illustrative example:

If 7,000 square metres of usable storage space are occupied out of 10,000 square metres:

Space Utilization = (7,000 ÷ 10,000) × 100 = 70%

High utilization does not automatically mean better performance. Excessive space usage can restrict access, complicate picking, and create safety concerns. The measurement method and usable capacity should be clearly defined.

8. Vehicle Utilization and Freight Cost

Vehicle Utilization measures how effectively available vehicle capacity is used. It may be measured by weight, volume, distance, operating time, or another defined method.

Freight Cost measures transportation expenditure according to the organization's reporting method.

Freight cost may be assessed per shipment, order, unit, kilogram, or distance, depending on the operation.

Factors influencing these measures include:

• Shipment volume and weight.

• Route and distance.

• Vehicle capacity.

• Fuel and toll charges.

• Load consolidation.

• Empty running.

• Delivery urgency.

• Waiting and handling time.

A lower freight cost should not be treated as an improvement if it causes unacceptable delays, damage, or service failures.

9. Stockout Rate and Return Rate

Stockout Rate measures the frequency or proportion of defined demand events affected by unavailable inventory. The exact formula depends on whether the organization tracks items, order lines, orders, or time periods.

Return Rate measures the proportion of products, units, or orders returned under a defined calculation method.

Common causes of stockouts include inaccurate forecasts, supplier delays, incorrect stock records, and weak replenishment planning.

Returns may result from damaged products, incorrect items, quality problems, customer preferences, or other factors.

These indicators should be interpreted alongside product characteristics, order volume, service requirements, and the reason for each event.

10. Data Awareness and Performance Reporting

Data awareness means understanding where operational data comes from, what it measures, and how reliably it represents actual performance.

Good reporting practices include:

• Checking the reporting period.

• Verifying units, definitions, and denominators.

• Confirming that data is complete and accurate.

• Comparing actual results with suitable targets.

• Looking for recurring patterns rather than isolated events.

• Investigating unusual results before drawing conclusions.

• Presenting findings clearly and objectively.

A KPI identifies a performance outcome; further investigation is often needed to understand the root cause.

Practical Activity: Interpret a Logistics Dashboard

Review the following illustrative performance figures.

Students should answer:

1. What does the On-Time Delivery result indicate?

2. What could cause incorrect orders despite a high Order Accuracy result?

3. What might explain a Unit Fill Rate of 90%?

4. Does warehouse utilization alone prove that the warehouse is efficient?

5. What data would you check to investigate the stockout rate?

6. Which KPI would you investigate first, and why?

7. What additional information would help you recommend an improvement?

The figures are illustrative and are not actual EFOS or industry performance benchmarks. A result should be compared with the organization's own target, definitions, and historical data.

Practical Learning Activity

Prepare a simple KPI report using a hypothetical logistics dataset.

Include:

• KPI name.

• Definition.

• Reporting period.

• Formula.

• Actual result.

• Target, if provided.

• Difference between actual and target.

• Possible causes of performance gaps.

• Recommended next investigation or action.

Students should present their findings in a short summary suitable for a team supervisor.

Module Review

Students should be able to explain On-Time Delivery, Order Accuracy, Inventory Turnover, Fill Rate, Order Cycle Time, Delivery Lead Time, Warehouse Utilization, Vehicle Utilization, Freight Cost, Stockout Rate, and Return Rate.

They should also understand that KPI definitions must be consistent, calculations must use reliable data, and conclusions should be supported by evidence.

Key Takeaway: KPIs help logistics teams measure performance, identify gaps, and make better decisions when the data and definitions are reliable.

Next Module: Workplace Communication & Professional Skills.