Case Problem Truck Leasing Strategy By: Alex Somerville November 8‚ 2014 In this problem‚ Bob Reep the owner and president of Reep Construction‚ needs to figure out a way to accommodate a short term leasing plan for trucks within budget to complete this project. In order to appropriately illustrate and solve Reep’s problem‚ I will be using the concept of a sensitivity analysis. This analysis will show how changes in this problem will affect the overall optimal solution. The following sensitivity
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Introduction- State the Problem Two entrepreneurs‚ Rabie and Harary‚ started a company around a product that sprouted hair from a small humanlike head. They called this product Earth Buddy and the sales jumped pretty quickly. Sales at first started through Toronto-area flower shops and gift stores but as demand increased they were able to start selling Earth Buddy at Toys R Us‚ Wal-Mart‚ K-Mart and similar stores. The production process had few steps but was affected by the weather. With hot weather
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Case study 4 Problems in Computer World 1. How many of those commandments are being broken here? These are the commandments they are written by the Computer Ethics Institute: 1. Thou shalt not use a computer to harm other people. 2. Thou shalt not interfere with other people’s computer work. 3. Thou shalt not snoop around in other people’s computer files. 4. Thou shalt not use a computer to steal. 5. Thou shalt not use a computer to bear false witness. 6. Thou shalt
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Julia’s Food Booth Case Problem Assignment 3 Max Z =Profit1x1+ Profit2x2+ Profit3x3 A - Formulation of the LP model x1 - number of pizza slice x2 - number of hot dogs x3 - number of barbecue sandwiches Constraints Cost Maximum fund available for food = $1500 Cost per pizza $6 ÷08 (slices) = $0.75 Cost for a hot dog = $0.45 Cost for a barbecue sandwich = $0.90 Constraint: 0.75x1+0.45x2+0.90x3 ≤1500 Oven space Space available 16.3.4.2 = 384ft^2 384
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CASE ANALYSIS AND PROBLEM SOLVING: STARBUCKS Course: Business Policy Ethics and Strategy (F-410) Case Summary Starbucks Corporation is an international coffee company and coffeehouse chain based in Seattle‚ Washington. In October 2006‚ Starbucks was the largest global roaster and retailer of coffee with more than 12‚000 retail stores in 60 countries‚ some 3‚000 of which are to be found in forty countries outside the United States. Looking forward‚ the company expects 50%
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of the Problem Case 3-1 Maynard Company (B) Diane Maynard was grateful for the balance sheets that her friend prepared. In going over the numbers‚ she remarked‚ “It’s sort of surprising that cash increased by $31‚667‚ but net income was only $19‚635. Why was that?” Her friend replied‚ “A partial answer to that questionis to look at an income statement for June. I think I can find the data I need to prepare on for you.” In addition to the data given in the (A) case‚ her friend
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the number shipped out. Constraints 6-14 are the number of units demanded at each customer zone and are in place to guarantee the demand is satisfied. Now to show how to calculate the totals we must set up the model to show no limitations as the problem is saying. To set that up I am going to list the new formulas without limitations. MIN 3.2x1+2.2x2+4.2x3+3.9x4+1.2x5+0.3x6+2.1x7+3.1x8+4.4x9+2.7x10+4.7x11+ 3.4x12+2.1x13+2.5x14+6.0x15+5.2x16+5.4x17+4.5x18+6.0x19+3.3x20+2.7x21+ 5.4x22+3.3x23+2
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Running Head: JULIA’S FOOD BOOTH Assignment #3: Case Problem "Julia’s Food Booth" Mat540 Quantitative Methods August 22‚ 2012 Julia’s Food Booth (A) Formulate and solve a L.P. model for this case. Variables: Pizza - X1 $1.33 $1.50 14 inches Hot Dogs - X2 $0.45 $1.50 16 square inches Barbecue - X3 $0.90 $2.25 25 square inches Maximize Z= $0.75x1‚ 1.05x2‚ 1.35x3 Subject to: $0.75x1 + $0.45x2 + $0.90x3 ≤ $1‚500 24x1 + 16x2 + 25x3 ≤
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Case Problem 2: Office Equipment‚ Inc. 1. l = 1 llamada/50 hours = 0.02 calls per hour 2. Mean service time = travel time + repair time = 1 + 1.5 = 2.5 hours m = 1 / 2.5 hours = 0.4 customers per hour 3. The travel time is 1 hour. While this is considered part of the service time it actually means that the customer will be waiting during the first hour of the service time. Thus‚ travel time must be added to the time spent in line as predicted model in order to determine
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Case Problem: Textile Mill Scheduling Assuming‚ X1 = Yards of fabric 1 purchased X2 = Yards of fabric 1 on dobbie looms X3 = Yards of fabric 2 purchased X4 = Yards of fabric 2 on dobbie looms X5 = Yards of fabric 3 purchased X61 = Yards of fabric 3 on dobbie looms X62 = Yards of fabric 3 on regular looms X7 = Yards of fabric 4 purchased X81 = Yards of fabric 4 on dobbie looms X82 = Yards of fabric 4 on regular looms X9 = Yards of fabric
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