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    Using Perceptual Maps in Marketing Simulation Summary MKT/421 September 19‚ 2013 Using Perceptual maps in Marketing Simulation In the University of Phoenix simulation Thorr Motorcycles‚ Inc. is a $5 Billion company‚ which offers the consumer many styles of motorcycles and they produce more than 200‚000 units per year. They sell everything from t-shirts to toys and leather accessories. In each of the three major phases in using perceptual maps in marketing simulation which are the perceptual

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    Maps Simulation I found this simulation to be very interesting. First of all‚ it was about motorcycles‚ and what guy doesn ’t find that to be an interesting topic? Regarding the lessons it contained for marketing though‚ it was also interesting while still being entertaining as well. The situations it presented were realistic‚ while not being so overcomplicated that the material it was trying to present got lost. In the following paper I will discuss the situations from the simulation‚ the relationship

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    Using Perceptual Maps in Marketing Simulation Summary MKT 421 Instructor: Ken Metz October 7‚ 2013 Using Perceptual Maps in Marketing Simulation Summary The situation consists of me constructing a perceptual map to create a marketing plan for Thorr Motorcycles. The perceptual map will be based off of parameters fundamental to the product and significant to the customer. I am the marketing manager for CruiserThorr. We are trying to use the parameters to market a new and innovative

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    Using Perceptual Maps in Marketing Simulation Summary Inge Webster January 18‚ 2014 Using Perceptual Maps in Marketing Simulation Thorr Motorcycles is a manufacturer of different range of motorcycles‚ which carries a wide variety of products such as shoes and toys. The image portrayed from the company provides its customers the freedom‚ masculinity‚ and mobility of all its products. Thorr Motorcycles is a company that offers a variety of services with dealer training‚ dealer

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    SCHOOL OF TECHNOLOGICAL SCIENCES INDUSTRIAL ENGINEERING DEPARTMENT Simulation Project- IE532 * Table of Contents: 1. Introduction……………………………………………………………………………………………………..2 2. Approach………………………………………………………………………………………………………….3 3. Input Analyzer………………………………………………………………………………………………….9 4. Animation……………………………………………………………………………………………………….10 5. Results…………………………………………………………………………………………………………….11 4. Discussion……………………………………………………………………………………………………….15 5. Conclusion………………………………………………………………………………………………………16

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    SIMULATION • WHAT is Simulation ? • WHY is Simulation required ? • HOW is Simulation applied ? • WHERE is Simulation used ? DEFINITION • Simulation is a representation of reality through the use of model or other device‚ which will react in the same manner as reality under a given set of conditions. • Simulation is the use of system model that has the designed characteristic of reality in order to produce the essence of actual operation. • According to Donald G. Malcolm‚ simulation

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    Computer Simulation: Gambling is known to be a vice of many men. An activity that requires one to bet their cold hard cash that they earned through their jobs and to bet it all on a luck and the slim chance that they would somehow beat the odds and receive what they had betted and much more. Gambling has been proven to stimulate the brains reward system that similar to how drugs and alcohol stimulate the brains reward system. But dabbling in such activities‚ such as gambling with cards and dice‚

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    MEDICATION SIMULATION (DRUG STUDY) CASE of PATIENT: Hypertensive Urgency GENERIC NAME: Amlodipine besylate BRAND NAME: norvasc DOSE: 10mg/1tab twica a day AVAILABILITY: Tablet TIMING: 8am-6pm ROUTE: Oral ACTION INDICATION/s SPECIAL PRECAUTION/s CONTRAINDICATIONS SIDE EFFECTS NURSING RESPONSIBILITIES Inhibits calcium ion influx across cardiac and smooth muscle cells‚ thus decreasing myocardial contractility and oxygen demand; also dilates coronary arteries and arterioles

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    Using System Dynamics in Business Simulation Training Games by Jennifer Ching-Wen Han Submitted to the Department of Electrical Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degree of Masters of Engineering in Electrical Engineering and Computer Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY May 9th‚ 1997 © Massachusetts Institute of Technology‚ 1997. All Rights Reserved. Au th or .......................................................................

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    MECH 896 Winter 2015 Workshop 9: Lessons Learned (rev2) Queen’s University MECH 896 Queen’s University MECH 896 Simulation Learning Objectives: 1) Explore trade-offs among the 3 major project management levers: scope‚ budget‚ and schedule. 2) Understand how team skill level‚ team morale‚ deadlines‚ and work quality are interrelated and affected by a project manager’s decisions. 3) Recognize the effect of poor-quality work on project outcomes. 4) Understand the importance of appropriately timed

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