Simulation Lab Group #5 Dynamic Systems 1‚ ME3211 David Cramer Percentage of Work_______________________________________ Cory Spelman Percentage of Work_______________________________________ Table of Contents Objective Calculations Experimentation Results Appendices Objective The objective of this lab was to understand how to use the Working Model 2D software and to apply this knowledge to create a vibration absorber. Part 1 was to open up a demo file and analyze the force vs
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In the simulation the change in supply was caused by how many apartments were being rented out. The change in demand increased dramatically a new company into town which caused people to want to live closer to work. When the change in demand increased‚ the supply was decreasing because the apartments were filling up and the company only had a set amount of homes to rent out. When the change in demand decreased‚ this caused an increase in supply for the company which means that they were losing
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2 Change Orders 3 Lessons 3 Appendix A: Simulation Comments 4 Appendix B: Simulation Results 6 Consensus versus Average Forecasting The consensus forecasts worked well for quick insight into estimated demand for each month. In our first year we used the consensus demand because we did not know the dynamics of the group‚ and we were relying on their expertise to guide us toward a more accurate forecast. As we progressed through the simulation we came to the realization that the consensus
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Simulation Review HCS / 405 Midnight Fultz- Student David Catoe- Instructor November 11‚ 2014 The Elijah Heart Center needs to make changes on cost-cutting‚ funding options for equipment‚ and funding options for capital expansion. Doing this simulation review it will show just how to go about making these changes to save money. I will explain as to why I choose what I did in this paper. The cost-cutting options I choose were changing the skill max and reducing agency staff. The reason
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Working with a team‚ working for a team and working as a team are very different concepts. This distinction is the biggest lesson I learned from the simulation. A team may refer to a group of people but each member has a specific role to play. The idea of parts joining together to form a whole are analogous to the individual personalities‚ strengths and weaknesses each one brings to complete the team. In our group‚ the leader blended in with the roles of the other members. She would have been more
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Simulation Paper Carlos Young SCI 362 January 3‚ 2013 Kenneth Rayford Simulation Paper In this simulation the issue that is brought up is the fact that a pharmaceutical company is making all sorts of medicines and health products. Their intention is to use the rainforests resources to make the products that is used to help people with their health from the medicines they create. This scenario has the issue of the rainforest being cut down but not kept up with when it comes to being replenished
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JetBlue Contents Memorandum 3 Summary of Strategy Assessment and Identification of Strategic Issues 3 Key Strategic Issue‚ Options and Recommendations for Action 3 Best Option Recommendation 4 I. Case Update (Exhibit 1) 5 Bibliography 7 II. JetBlue’s Strategy in Detail (Exhibit 2) 8 Mission/Purpose/Vision 8 Goals/Objectives 9 Major Policies 9 III. JetBlue’s SWOT Analysis (Exhibit 3) 11 IV. Analysis of JetBlue’s Financial Performance (Exhibit 4)
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how I utilized my skills to contribute to the teams’ common goals. The correct use of my and every other member’s skills was crucial to succeed in the Everest Simulation. In a team of five people‚ I was the Team Physician. The challenge was to align different private and group goals and maximize total outcome. Consequentially‚ the Simulation proved to be a steady trade-off between personal goals and group objectives. 1. What lessons did you learn about how to build‚ participate in‚ and lead teams
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Suggested Books: • Discrete-event System Simulation J. Banks‚ J.S. Carson and B.L. Nelson Prentice Hall International‚ 1994 SIMULATION AND MODELLING Tony Field and Jeremy Bradley {ajf‚jb}@doc.ic.ac.uk • Simulation Modeling and Analysis A.M. Law and W.D. Kelton McGraw Hill‚ 2000 • Probabilistic Modelling I. Mitrani Cambridge University Press‚ 1998 1 2 • A Compositional Approach to Performance Modelling (first three chapters) J. Hillston Cambridge University Press‚ 1996. On-line at:
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UNIVERSITY OF CALIFORNIA Los Angeles A Player Based Approach to Baseball Simulation A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Statistics by Adam Philip Sugano 2008 © Copyright by Adam Philip Sugano 2008 The dissertation of Adam Philip Sugano is approved. _______________________________________ Jan de Leeuw _______________________________________ Rick Paik Schoenberg _______________________________________
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