Optimizing iPhone Color Production
by Deepak Arora
In this real-world STEM lesson, students take on the role of product planners at Apple to determine the optimal production mix of iPhone 16 colors that maximize profit while considering demand, capacity, and material constraints. They learn linear programming by formulating a mathematical model and defining decision variables, objective functions, and constraints. Students solve the problem using graphical methods or software, interpret solutions, and discuss implications. A hands-on group project reinforces learning by applying linear programming to related product mix optimization scenarios. The lesson incorporates differentiation, enrichment, and practical applications to build problem-solving and mathematical modeling skills.
Lesson Plan Link/URL
https://docs.google.com/presentation/d/17YD-rKqot5uhDh-uNdgJHFYPgf0HHUs1/edit?u…Subject Area
Technology 3. Knowledge Constructor 5. Computational Thinker Engineering S3: Apply Mathematics to Engineering Mathematics Expressions and Equations (EE) Functions (F) Algebra (A) Reasoning with Functions and Relations (RFR)
Featured
Off
Related Content
Grades:
4th Grade, 5th Grade, 6th Grade, 7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
Learn how to train your own Artificial Intelligence neural network without the complexities of coding. Google's (free) Teachable Machine is a web-based tool that makes it easy to train your computer
Grades:
9th Grade, 10th Grade, 11th Grade, 12th Grade
This is the third lesson in a series of four lessons on building a robotic rover with the BBC micro:bit. In this lesson, students will design, model, and 3D print a chassis for a micro:bit rover.
Grades:
9th Grade, 10th Grade, 11th Grade, 12th Grade
This lesson supports students in physically understanding how data values are summarized and represented with a box plot. Students will also use an online tool in order to create one.