Practice Cost Minimization in Linear Programming - 8.6 | 8. LP Modeling: Production Planning | Design & Analysis of Algorithms - Vol 3
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Cost Minimization in Linear Programming

8.6 - Cost Minimization in Linear Programming

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the objective of linear programming?

💡 Hint: Think about how resources are utilized in production.

Question 2 Easy

Define surplus storage costs.

💡 Hint: Consider the implications of unsold inventory.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a linear program aim to do?

Maximize profits
Minimize costs
Both A and B

💡 Hint: Consider the objectives of business operations.

Question 2

True or False: The simplex algorithm can only solve problems where all variables are integers.

True
False

💡 Hint: Think about the nature of the variables in most linear programs.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Develop a complete linear programming model that includes all potential costs associated with producing 700 carpets in a month. Assume demand fluctuations necessitate holding extra inventory.

💡 Hint: Include all costs and maximize production efficiency.

Challenge 2 Hard

Given different monthly demands (from 320 to 920) and production capacities, how would you adjust your workforce if previously hired workers are non-integers?

💡 Hint: Focusing on the demand fluctuations will be key in adjusting numbers.

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