CLICK TO DOWNLOAD MAT 540 Week 6 Homework Complete the following problems from Chapter 2: 1. Problems 2‚ 6‚ 7‚ 12‚ 16‚ 20 2. Chapter 2 2. A company produces two products that are processed on two assembly lines. Assembly line 1 has 100 available hours‚ and assembly line 2 has 42 available hours. Each product requires 10 hours of processing time on line 1‚ while on line 2 product 1 requires 7 hours and product 2 requires 3 hours. The profit for product 1 is $6 per unit‚ and the profit
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CLICK TO DOWNLOAD MAT 540 MIDTERM EXAM 1. Regret is the difference between the payoff from the best decision and all other decision payoffs. 2. Variable costs are independent of volume and remain constant. 3. Regret is the difference between the payoff from the 4 A _________ period of real time is represented by a __________ period of simulated time. 5. A seasonal pattern is an up-and-down repetitive movement within a trend occurring periodically 6. A trend is a gradual‚
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Mat 540 Quiz 3 Question 1 .2 out of 2 points Correct The following inequality represents a resource constraint for a maximization problem: X + Y ≥ 20 Answer Selected Answer: False Correct Answer: False Question 2 .2 out of 2 points Correct Graphical solutions to linear programming problems have an infinite number of possible objective function lines. Answer Selected Answer: True Correct Answer: True Question 3 .2 out of 2 points Correct Surplus variables are only associated
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Two Rainfall-Runoff Models were earlier identified for application and for the generation of a more reliable discharge data. These are the Thornwaite Water Balance Model (WBM) and the IHACRES. The input requirement of both models differ. For the WBM‚ generation of runoff requires seven input parameters. These are the Runoff Factor (RF)‚ Direct Runoff factor (DRF)‚ Soil Moisture Storage Capacity (SMSC)‚ Latitude of location‚ Rain Temperature Threshold‚ Snow Temperature Threshold and Maximum Snow Melt
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The homework problems for Module 4 are: 2-24‚ 34‚ 36‚ 38 (you only have to do part A for these problems. You do not have to do the part B graphical solutions) and 3-10‚ 12 (parts B and C for Problem 12)‚ 28‚ 30. Please use Excel solver function. I posted an annotated solution to Problem 2-5. This problem is an examplar for both the chapter 2 and 3 problems. In this example I show how I typically set up a problem. First I set up the linear programming model and then develop a parallel set-up
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Decision Models: Lecture 2 2 Shelby Shelving Decision Model Decision Models Decision Variables: Let S = # of Model S shelves to produce‚ and LX = # of Model LX shelves to produce. To specify the objective function‚ we need to be Lecture 2 Shelby Shelving Case Understanding the optimizer sensitivity report ! Dual prices ! Righthand side ranges ! Objective coefficient ranges If time permits: Distribution / Network Optimization Models Summary and Preparation for next class LX ) Net profit 39S
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MATH2013 Simulation Assignment 1.0 Introduction The aim of the assignment was to find a staffing solution for a call centre with two types of calls (1‚ 2) and three types of agents‚ two of which specialists (agent 1 and agent 2) and a generalist (agent 3) who handles both types of calls on two types of days- Heavy 1‚ with more type 1 calls and Heavy 2‚ with more type 2 calls. The staffing solution should meet two performance constraints: • The Quality of Service‚ QoS‚ should be at least 70%
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INVESTMENT STRATEGY REPORT Submitted to J. D. Williams‚ Inc. By Mizar Gonzalez Industrial Engineering Department Southern Polytechnic State university 404-519-2792 February 20‚ 2008 EXECUTIVE SUMMARY This report is our recommendation for an optimal investment strategy that would allow J. D. Williams‚ Inc. to maximize the annual yield of an investment of $800‚000 in a diversified portfolio of funds. To find the investment that would result in the greatest annual yield
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JP Molasses The analysis is divided into three sections: Part I: description of the optimization model Part II: solution to the present problem Part III: recommendations on future improvements to increase profits Part I Objective function: J.P. Molasses’ goal is to maximize the profit generated from the refining of raw sugar into molasses and its byproducts and then shipping those products to customers. Decision variables: a. The amount of raw sugar shipped from eight suppliers
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Modeling and Its Importance to the Decision Making Process in Business Modeling and Its Importance to the Decision Making Process in Business CIS 331 System Modeling Theory Modeling and Its Importance to the Decision Making Process in Business When we refer to models‚ often times we picture a model as being something that is tangible‚ two or three dimensional‚ and a miniature replica of how we imagine a particular project. However‚ models can be used in practical everyday aspects
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