Final Project Donald L. Dionne Information Technology Department Southern New Hampshire University TABLE OF CONTENTS BRIEF SUMMARY 3 PROBLEM FORMULATION 4 PERFORMANCE METRICS 5 SYSTEM AND SIMULATION SPECIFICATION 6 BASE MODEL 7 ALTERNATE MODEL 1 9 ALTERNATE MODEL 2 11 INPUT ANALYSIS 13 VERIFICATION AND VALIDATION 15 OUTPUT ANALYSIS 16 REFERENCES 17 BRIEF SUMMARY A toll bridge spans the Black Warrior River connecting Interstate 20/59 to Northport‚ Alabama. The bridge is privately
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ABSTRACT This paper describes numerical simulation of a selected soft missile impact small scale test. The main aim of the testing program is to provide data for the calibration and verification of the numerical simulation models for soft missile impact time-history simulation. The experiments are conducted both with dry and fluid filled missiles. The objective of the tests with fluid filled missiles is to investigate the release speed and the droplet size of the fluid spray release in the impact
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------------------------------------------------- SIMULATION REPORT The objective of the project was to trade on a Market Simulation “STOCK TRACK”‚ from 2/13 to 4/20. We were supposed to try to trade different types of instruments in order to gain more knowledge about they are trade in the real world; and how a strategy which seems good can be overturned by the market circumstances. During this period as a conservative‚ I tried to trade less risky instruments. The qualities that I used to
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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 Modelling Practice and Theory 18 (2010) 712–731 Contents lists available at ScienceDirect Simulation Modelling Practice and Theory journal homepage: www.elsevier.com/locate/simpat Singularity-free dynamic equations of vehicle–manipulator systems Pål J. From a‚*‚ Vincent Duindam b‚ Kristin Y. Pettersen a‚ Jan T. Gravdahl a‚ Shankar Sastry b a b Department of Engineering Cybernetics‚ Norwegian University of Science and Technology‚ Norway Department of EECS‚ University of California
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was a great deal of iteration between the cases studies and the literature. The objective was to identify important contextual factors that may moderate the impact of RFID. The second phase incorporated simulation modelling. This was a confirmatory study. The objective was to develop two simulation models of the cases from the previous phase‚ and as a result‚ verify the effects of particular contextual factors on process performance. Findings – As an outcome of this research‚ an initial subset of “warehouse
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