MT438 · Unit 3

MT438 Unit 3 performance metrics exercise example

Analytics in the Digital Supply Chain Purdue University Global Free custom sample in 24 to 48h

Fill rate at Oakhurst for the second quarter of 2026 is 94.4 percent, 91.0 percent or 81.0 percent, depending on whether units, lines or whole orders are counted. All three formulas are stated in the composite MT438 Unit 3 performance metrics exercise, each computed from the same quarter's records with a note on the question it answers.

What this page holds

Formulas first, then figures from one quarter of Oakhurst orders: fill rate three ways, order accuracy, perfect order and inventory turns, in a composite Unit 3 exercise for MT438. Searches like "mt 438 unit 3 assignment example", "mt438 unit 3 sample" and "mt438 unit 3 example" land here.

What a finished MT438 Unit 3 performance metrics exercise looks like

Five pages, organized as a metric card per measure. Each card gives the name, the formula in words and symbols, the inputs and the result. The quarter's records supply 3,406 orders, 17,930 lines and 2,104,000 bags ordered, of which 1,987,000 shipped. Unit fill comes to 94.4 percent, line fill to 91.0 and order fill to 81.0. Order accuracy, meaning the right items in the right quantities, is 99.1 percent. On-time delivery reaches 90.0 percent against the customer's requested date and 93.4 against the date Oakhurst promised. Perfect order, counting orders that were on time, complete, undamaged and correctly documented all at once, reaches 70.8 percent. Turns, computed on $148.6 million of annual cost of goods, appear twice: 4.80 and 5.97.

How a MT438 Unit 3 example is structured

Definitions lead every card, since sales and operations can attach one metric name to quite different arithmetic. The three fill rates are presented together to show how the unit of count changes the answer; a missing bag lowers unit fill slightly, whereas it spoils a whole order for order fill. On-time delivery follows with its reference date made explicit. Perfect order comes next and is computed two ways. Counting orders directly gives 70.8 percent, while multiplying the four component rates gives 69.7, and the paper explains the gap: failures cluster on the same troubled orders instead of striking independently. Turns close the set. Averaging thirteen month-end inventories gives 4.80 turns and 76.0 days of supply, while averaging only the first and last balances gives 5.97, because both fall in the quiet season. A final note compares Oakhurst's figures with a retailer's scorecard.

Bags, lines, orders

One short bag lowers unit fill by a fraction and line fill by one line, but it fails the entire order. Presenting the three together shows why a single fill rate needs its unit named.

Requested or promised

On-time delivery is 90.0 percent against requested dates and 93.4 against promised ones. The card names the date it uses, since that choice alone moves the result by more than three points.

Counted, not multiplied

Perfect order counted directly is 70.8 percent. The product of the four component rates, 69.7, assumes failures are independent, and the difference shows they are not.

Order accuracy at 99.1

Orders with the right items in the right quantities are measured separately from completeness, so a picking error and a stock shortage do not share one number.

Two answers for turns

Thirteen month-end balances average $30.94 million, giving 4.80 turns. Using only the opening and closing December balances, both off-season lows, inflates turns to 5.97.

The retailer's own figure

The home-improvement chain's scorecard shows 84.7 percent for the quarter because it requires on-time arrival and complete shipment together, measured at its own dock.

Where marks go in MT438 Unit 3

Performance metric exercises in MT438 reward precision before arithmetic. A figure without its formula cannot be checked, and papers that report a fill rate without saying whether bags, lines or orders were counted tend to lose accuracy marks on exactly that point. On-time measures need their reference date named. Perfect order is a frequent trap: multiplying component rates is a reasonable estimate, but presenting it as the counted figure misstates how failures behave. Instructors look for inventory turns computed on an average that reflects the whole year, particularly in seasonal businesses where two month-ends can mislead badly. Stronger exercises explain what each metric hides, such as order fill penalizing one missing bag as heavily as a missing truckload. Comparing an internal figure with a customer's scorecard shows that definitions have consequences.

Get a MT438 Unit 3 example written to your instructions

Order records, summary counts or an inventory table: whichever the Unit 3 case contains, send it together with your instructions and grading rubric. Built from that material, the composite exercise gives each formula before using it, computes the metrics your instructions list, and explains what each one leaves out. No charge applies to the opening custom sample, which takes 24-48h.

MT438 Unit 3 questions, answered

Which fill rate formula should I use?

Follow whatever formula the course or case names; where none is named, pick one on purpose and explain the choice. Unit fill suits a planner watching volume, line fill a warehouse watching picking, and order fill a customer who wants complete deliveries. Reporting more than one, with each formula stated, is often the strongest answer because the gaps between them tell a story.

Is perfect order the product of its components?

Only approximately. Multiplying on-time, complete, damage-free and documentation rates assumes failures happen independently. In practice they cluster, since a rushed or troubled order is likely to fail more than one test, so the directly counted rate usually differs. Count it directly when order-level data exists, and use the product only as an estimate.

Why do my inventory turns look too high?

Check the average inventory in the denominator. In seasonal businesses, averaging only the beginning and ending balances can pick two low points and inflate turns. An average of monthly balances across the year is more representative. Also confirm that cost of goods and inventory are both valued at cost, not one of them at selling price.