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:
8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
A lesson designed for an engineering course but that can be used in a science course where we investigate the physics of waves and how it can be applied to the world of art. Students will design and
Grades:
8th Grade, 9th Grade, 10th Grade, 11th Grade
In this lesson, students will explore the relationship between current, voltage, and resistance in an electrical circuit. Using a PhET Simulation, they will collect data and graph voltage vs current
Grades:
9th Grade, 10th Grade, 11th Grade, 12th Grade
This lesson can be used as a formative assessment on Static Equilibrium of a horizontal meter stick that has two masses hanging from the meter stick. One of the mass values is provided, the 2nd mass