hw-2

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Industrial Engineering

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Dec 6, 2023

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IE 310: Deterministic Models in Optimization HW 2 Each student should submit an individual homework. Indicate the name of your collaborator in the first page of the submission. State problem numbers clearly in the margin. Write clearly. Illegible submissions will not be graded. Submit your HW via Gradescope - https://www.gradescope.com/ . While submitting, ensure that you match the question number to the page in your submission. Submission deadline is indicated in Gradescope. Late submissions by up to 3 hours will be accepted. Other solutions sources are NOT permitted. Plagiarism will be dealt with severely. No credit will be awarded for the entire homework (even if part of the solution for a problem is plagiarized). 1. (a) ( points: 3 ) For each of the following constraints, draw a separate graph to show the nonnegative solutions that satisfy this constraint (by shading). i. 3 x 1 + x 2 6 ii. 3 x 1 + 4 x 2 12 iii. x 1 + x 2 1 (b) ( points: 1 ) Now combine the above constraints into a single graph to show the feasible region for the entire set of constraints plus nonnegativity constraints. (c) ( points: 1 ) Can you change the RHS of one of the three constraints to make it redun- dant (i.e., any ( x 1 , x 2 ) that satisfies the other two constraints along with non-negativity constraints will also satisfy the modified constraint)? (d) ( points: 1 ) Can you change the RHS of one of the three constraints to make it infeasi- ble (i.e., there are no ( x 1 , x 2 ) satisfying all three constraints along with non-negativity constraints simultaneously)? 2. Consider the following objective function for a linear programming model: max Z = 3 x 1 + 2 x 2 (a) ( points: 3 ) Draw a graph that shows the corresponding objective function lines for Z = 6, Z = 12 and Z = 18. (b) ( points: 1.5 ) Find the slope-intercept form of the equation for each of these three objective function lines, i.e., write the equation as x 2 = mx 1 + c and identify m and c . 1
3. The Primo Insurance Company is introducing two new product lines: special risk insurance and mortgages. The expected profit is $2 per unit on special risk insurance and $5 per unit on mortgages. Management wishes to establish sales quotas for the new product lines to maximize total expected profit. The work requirements are as follows: Department Special Risk Mortgage Work-hours available (Work hrs per unit) (Work hrs per unit) Underwriting 3 2 2400 Administration 0 1 800 Claims 2 0 1200 (a) ( points: 5 ) Formulate a linear programming model for this problem. (b) ( points: 2 ) Use the graphical method to solve this model. 4. The following table summarizes the key facts about two products, A and B , and the resources Q, R, S needed to produce them. Resource Product A Product B Amount of resource available (Resource Usage (Resource Usage per gallon produced) per gallon produced) Q 1 2 2 R 2 1 2 S 3 3 5 Profit per gallon 2 3 (a) ( points: 5 ) Formulate a linear programming model to maximize the profit by making suitable number of gallons of products A and B . (b) ( points: 2 ) Use the graphical method to solve this model. 5. The shaded area in the following graph represents the feasible region of a linear programming problem whose objective function is to be maximized. Label each of the following statements as TRUE or FALSE, and then justify your answer based on the graphical method. In each case, give an example of an objective function that illustrates your answer. 2
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