Assignment 5(1)

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University of Texas, Dallas *

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3333

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Industrial Engineering

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Dec 6, 2023

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pdf

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4

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Assignment 5 1 Question 1. (40 points) You are provided with the following linear program: min z = 3 x + y s.t. y 0 . 5 x 1 y + x 3 x 3 y 4 x, y 0 (a) On the following page, use the graphical solution method to identify the feasible region. Use the scale 0.5 by 0.5 for each small square. (b) Find the feasible extreme points and calculate their objective values. Extreme point 1: Extreme point 2: Extreme point 3: Extreme point 4: Extreme point 5: (c) Draw an isocost line that passes through the point ( x = 2 , y = 3) and find the direction of optimization. (d) Provide the optimal solution and optimal objective value. Optimal solution: x = y = Optimal objective value:
Assignment 5 2 x y
Assignment 5 3 Question 2. (20 points) A beverage cans manufacturer makes 3 types of soft drink cans needed for the beverage producers to fill soft drinks of three different volumes. The maximum availability of the machines’ time allotted per day is 90 hours and the supply of metal is limited to 120 kg per day. The following table provides the details of the input needed to manufacture one batch of cans. Cans Large Medium Small Maximum Metal (kg)/batch 9 6 5 120 Machines’ Time (hr)/batch 4.4 4.2 4 90 Profit/batch 50 45 42 The manufacturer is interested in maximizing the total profit per day. The sensitivity report provided below was generated using the Excel Solver to determine the optimal solution to this problem. Using the sensitivity report, answer the following questions: (a) Optimal production quantity of small can per day: (b) Optimal profit per day: (c) Will the current optimal solution stay optimal if the unit profit of large can increases to 60? (Yes or No) (d) Will the current optimal solution stay optimal if the unit profit of small can decreases to 40? (Yes or No) (e) Will the current optimal solution stay optimal if we add a constraint that says pro- duction quantity of large can per day should be at least 5? (Yes or No) (f) Will the shadow price of the constraint related to the supply of metal remain valid if we increase the available supply to 130 kg per day? (Yes or No) (g) Calculate the effect on the total profit of decreasing the supply of metal to 115 kg per day. (h) Calculate the effect on the total profit of increasing the machine available time to 95 hours per day.
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Assignment 5 4 Question 3. (20 points) Ethan Steel, Inc. has three factories that manufacture steel components for three different rail projects located at three different sites. They want to determine how many steel components must be transported from each factory to each project site. The demand for the steel components for the three projects, A, B and C, are 2500, 3000 and 4500, respectively. The production and shipping details are as below: Production details: Factory Maximum capacity 1 3000 2 5000 3 3000 Shipping details (with per-unit shipping cost in dollars): Project Factory A B C 1 7 8 2 2 6 5 4 3 1 9 6 Develop a linear programming optimization model to determine the distribution plan (from factories to projects) that minimizes the total transportation cost. (Do NOT solve the model.)