# Linear programming project | Statistics homework help

Overview

For this assignment, your instructor will assign a linear programming project based on the following specifications:

• It will be a problem with at least three constraints and at least two decision variables.
• The problem will be bounded and feasible. It will also have a single optimum solution (in other words, it won’t have alternate optimal solutions).
• The problem will also include a component that involves sensitivity analysis and the use of the shadow price.

Instructions

You will be turning in two deliverables, a short writeup of the project, and the spreadsheet showing your work.

Writeup

Your writeup should introduce your solution to the project by describing the problem.

• Correctly identify what type of problem this is. For example, you should note if the problem is a maximization or minimization problem, as well as identify the resources that constrain the solution.
• Identify each variable and explain the criteria involved in setting up the model.       This should be encapsulated in one or two succinct paragraphs.
• After the introductory paragraph, write out the LP model for the problem.       Include the objective function and all constraints, including any non-negativity constraints. Then, you should present the optimal solution, based on your work in Excel. Explain what the results mean.
• Finally,       write a paragraph addressing the part of the problem pertaining to sensitivity analysis and shadow price.