This report provides an in-depth analysis of the two Everest Simulations conducted by Group 10 of MGMT1001 Thursday Tutorial. This task required students to form teams consisting of five to six members whose goals were to summit Mount Everest. While it provided us with a rich experience in team dynamics and collaboration‚ it also enabled us to explore key managerial concepts taught in the course‚ consisting of: • Communication • Groups and Teams • Leadership In this report‚ we examine the effectiveness
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Strategic marketing simulation reflection I was so struggling with making strategies about how to increase the profit margin. It was challenging because it could not be solved by simply offering more discounts to increase the unit sales‚ or by increasing the motor’s price to receive high revenues. Besides those factors‚ the change of profit margin also involved the spending on features and the strength of sales force. Any one of them changed could lead to a significant difference in the change
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5 5 Simulation Run 1 600 3 51 0 0 Simulation Run 2 600 3 85 0 1 Simulation Run 3 600 3 28 0 0 Lesson 1: Step 2 Population Number Population Density Starting Number of Contagious People Sick Days Reported Contagious Contagion Rate Prediction 1 (low) 125 Low 5 90 250 1.5 Simulation Run 1 200 Low 3 340 2 1.7 Simulation Run 2 200 Low 3 366 2 1.8 Simulation Run 3 200 Low 3 474 3 2.4 Prediction 2 (high) 490 High 5 2000 20 7.0 Simulation Run 1 900 High 3 3661 3 4.1 Simulation Run 2
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ittlefield Simulation #1: Capacity Management Team: Computronic When the simulation began‚ we quickly determined that there were three primary inputs to focus on: the forecast demand curve (job arrivals‚) machine utilization‚ and queue size prior to each station. Specifically we were looking for upward trends in job arrivals and queue sizes along with utilizations consistently hitting 100%. Upon initial analysis of the first fifty days of operations‚ the team noticed that Station 1 had reached
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Introduction This paper will walk through the simulation project experience‚ discuss lessons learned and key take ways from the project. The project simulation was designed to challenge project managers in a life like simulation of project management. It challenges a Project Manager to take over and manage an existing project within a global company. The simulation ran the project manager through the full life cycle of a project. It began with identifying all project stakeholders and project
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Read the "JET Copies" Case Problem on pages 678-679 of the text. Using simulation estimate the loss of revenue due to copier breakdown for one year‚ as follows: In Excel‚ use a suitable method for generating the number of days needed to repair the copier‚ when it is out of service‚ according to the discrete distribution shown. In Excel‚ use a suitable method for simulating the interval between successive breakdowns‚ according to the continuous distribution shown. In Excel‚ use a
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The task and standards: The glo-bus game is an online game developed by IBM and is short for globe business simulation game. It provides a competitive environment to all the participants and company’s managers. In glo-bus‚ 13 groups in an industry. Each group run a camera company with the same start condition‚ they need to make their own decision to defeated other groups and meet the investors expectation. The camera company was divided into four main regions such as Europe-Africa‚ Asia-Pacific
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Bishop’s Centenary College (St. Cecilia’s) Wednesday 3rd October‚ 2012 Electronic Document Preparation and Management Project 1- Ms Douglas Form- 4B1 Topic: Build a Computer Network Table of Contents Build a computer Network ……………………………………………………….. 1 What is a computer…….……………………………………………………………. 2 (b) What are the main types of computers used in a Network? … 2 What is a Network…………………………….…………………………………… 3 What hardware and software is found in a computer network………..
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different types of problems: dynamic programming‚ linear programming‚ and critical path method are used in handling complex information in allocation of resources‚ inventory control‚ and in determining economic reorder quantity; forecasting and simulation techniques such as Monte Carlo method are used in situations of high uncertainty such as market trends‚ next period ’s sales revenue‚ and traffic patterns. Also called decision science‚ management science‚ or operational research. Operational research
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Look back As a second year nursing student‚ I felt more confident in Simulation Learning Experience (SLE) practicum in that‚ I could integrate my nursing knowledge‚ skills‚ and clinical experience into the practice. In the simulation scenario‚ I simulated the primary nurse caring for a patient with post-operative complications. I learned about general procedures regarding how to approach a patient with post-operative complications. I learned how to effectively decide which assessments are priority
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