Optimizing Storage Box Design

Understand the MYP Criterion D box optimisation investigation in Extended Geometry Year 5. Volume, surface area, algebraic modelling, and real-life evaluation strategies.

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What This Task Is About

Optimizing Storage Box Design is a Criterion D investigation context in which students apply geometric knowledge — specifically volume and surface area — to a real-life design problem. The task asks students to find the dimensions of a box that maximise volume or minimise surface area under given constraints, then evaluate and justify their solution.

The Mathematics Behind the Task

Students model the box using algebraic expressions for volume and surface area. For a rectangular box with a fixed volume, the surface area depends on the dimensions chosen. Students use algebraic manipulation to express one variable in terms of others, reducing the problem to a function of fewer variables.

Key Techniques Used

How Criterion D Is Assessed Here

Criterion D asks students to identify a genuine real-life problem, select appropriate mathematical strategies, apply them to reach a solution, and critically evaluate both the solution and the process. For this task, a strong response:

Common Weaknesses in Student Responses

Practice Approach

Before attempting the full task, practise setting up volume and surface area expressions for boxes with different constraints. Understand how changing one dimension while holding volume constant affects surface area. The GradePerfect Extended volume page has relevant calculation practice to build this foundation.

Frequently asked questions

A real-life investigation where you design a box (often open-topped) to hold a fixed volume while using the least cardboard, or to maximise volume from a fixed sheet. You test different dimensions in a table, plot surface area against one variable, and identify the turning point. Links volume formulas from the previous topic to the surface-area trade-off, and is the criterion-B and C investigation strand of Unit 4 Extended.
Set up surface area as a function of one variable by substituting the volume constraint, e.g. express height in terms of base length. Build a table of values, narrow the range where surface area dips lowest, then zoom in with smaller steps (try 0.1 increments). Plot the points and read the minimum from the curve. Common slip: optimising volume when the question asks to minimise material, or forgetting the box is open-topped.
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