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    SUPPLY CHAIN TASK 2 Cheri Jill Upshaw August 12‚ 2014 Task two is the second task that applies the results of the Marketplace Simulation. In my simulation I named the company Airborne. I used a very conservative approach in all four quarters. The company did not have to borrow any money or pay any carrying charges for inventory. I did however‚ lose sales in all quarters due to higher than expected sales and product demand. Loss of sales can cause ill will and can cause you to lose customers

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    Simulation

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    A. The simulation model B. The number of patients treated every week and the waiting time for each patient | Number of patients treated | Waiting time for each patient (Min) | Outpatient department | 39 | 2465 | Inpatient department | 542 | 3616 | C. Some changes in the resource levels I. Each shift includes 2 admission secretaries | Number of patients treated | Waiting time for each patient (Min) | Outpatient department | 39 | 2515 | Inpatient department | 544

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    This simulation game was developed by Sisk (1976). Basically‚ there are ten imaginary countries (Shima‚ Myna‚ Ila‚ Usa‚ Pam‚ Bonay‚ Shivey‚ Lani‚ Ranu and Bili) and each of these countries has three key elements to be considered: defense‚ resources and demography. The main purpose of this game‚ understanding the importance of negotiation and interdependence between countries. I would like to make some changes in the game for my class. Every student or group will choose their imaginary country.

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    Global Supply Chain Management Simulation Debrief Slides ©© Enspire Enspire Learning Learning and and Harvard Harvard Business Business School School (revised Dec 2010) 1 Board Members’ Objectives Member Objective Betty Forecasting: choice of options (consensus vs. mean) Doug Forecasting: choice of options (role of risk) Yvonne Stocking Levels: Weighing the costs of over/understocking Meryl Production flexibility: accurate response/ sourcing strategy (focus on flexibility) Paul Production

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    simulation and modelling

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    Simulation software Simulation software is based on the process of modeling a real phenomenon with a set of mathematical formulas. It is‚ essentially‚ a program that allows the user to observe an operation through simulation without actually performing that operation. Simulation software is used widely to design equipment so that the final product will be as close to design specs as possible without expensive in process modification. Simulation software with real-time response is often used in gaming

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    Market Structure Simulation Quasar Computers When industries are selling similar products this makes up market structure. I will be discussing economic profit that Quasar computer is able to make. The market structure is made of the following pure monopoly‚ pure competition‚ monopolistic competition‚ and oligopoly. In the simulation I learn about pricing and non pricing strategies and understanding the diverse market structure. Quasar put out a new first all-optical notebook that is called

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    Simulation

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    The Bailey Prospect[1] It is Thursday‚ May 18‚ 1988. Your assignment is to help Sprigg Lane Natural Resources evaluate the risks associated with a potential investment in the "Bailey Prospect‚" a natural gas opportunity in Doddridge County‚ West Virginia. Your colleague‚ Lisa Weatherford has done a thorough base-case analysis and constructed a spreadsheet model that you can use in your analysis. You and Lisa are financial analysts at Sprigg Lane Investment Corporation. Background Sprigg

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    Case study Simulation of data To illustrate usage of Zebu‚ data simulated using a bayesian network will be used. The example presented in figure 1 is borrowed from Pearl [25]. Five thousand cases with 5% of missing data was simulated using SamIan. To illustrate how Zebu handles continuous variables‚ calcium concentrations were simulated. ”Not increased” cases were randomly sampled from a normal distribution with mean 2.4 and standard deviation 0.05. ”Increased” cases were randomly sampled from an

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    Computer Simulation * A software program that runs on any computer that attempts to simulate some phenomenon based on a scientist’s conceptual and mathematical understanding of the given phenomenon. * The scientist’s conceptual understanding is reduced to an algorithmic or mathematical logic‚ which is then programmed in one of many programming languages (Fortran‚ C‚ C++‚ etc.) and compiled to produce a binary code that runs on a computer. * Have become a useful part of modeling

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    simulation

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    1. What did you observe in inventory and back order levels when you play the game in uncoordinated and coordinated modes? What are the underlying reasons for the problems associated with uncoordinated decision-making? Based on the results you found in the previous part‚ list the potential benefits of coordination. (max 0.75 page) 2. What are the steps companies can take in order to reduce the problems associated with uncoordinated decision-making? Discuss also the potential implementation issues

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