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    Operational Research.Doc

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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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    Everest report

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    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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    Mathematical Models

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    Mathematical Models Contents Definition of Mathematical Model Types of Variables The Mathematical Modeling Cycle Classification of Models 2 Definitions of Mathematical Model Mathematical modeling is the process of creating a mathematical representation of some phenomenon in order to gain a better understanding of that phenomenon. It is a process that attempts to match observation with symbolic statement. A mathematical model uses mathematical language to describe a system. Building a

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    questions. Q.1 Maximise z = 3x1 + 4x2 Subject to constrains 5x1 + 4x2 200; 3x1 + 5x2 150; 5x1 + 4x2 100; 8x1 + 4x2 80‚ x1 0‚ x2 0 Q.2 State the ways in which customers in a queue are served. Q.3 Explain the use of simulation in networks? What are the advantages of using simulation? Q.4 Explain maximin-minimax principle. Briefly describe the characteristics of competitive game Q.5 A project has 10 activities. The following table shows the information about the activities. Table 14.5: Activities

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    WB-PBPK Model Analysis

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    The WB-PBPK model for caspofungin was constructed according to the scheme of 14 tissue compartments of the disposition model. Simulations were based on caspofungin physicochemical and the vitro data (Table 2). Tissue distribution was predicted using established tissue composition equations. Hepatic and renal caspofungin clearances were calculated by the PKplus model‚ as described in the method section. The results are shown in Table 3. The observed and WB-PBPK model simulated mean plasma concentration-time

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    Selective Reasoning

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    Marketing Simulation Analysis When the simulation was first assigned‚ I really had no idea what to expect. I assumed that my group members and I would be creating various written documents‚ which was clearly not the case. After selecting a group composed mainly of my close friends‚ we began to read through the various materials given to us to help us successfully complete the simulation. After watching a few of the videos from our customers and reading the given document about Minnesota Mircromotors

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    Atkinson‚ A.‚ Banker‚ R.‚ Kaplan‚ R. and Young‚ M. (2001)‚ Management Accounting‚ Prentice-Hall‚ Upper Saddle River‚ NJ. Beck‚ V.U. and Nowak‚ J.W. (2000)‚ “The merger of discrete event simulation with activity based costing for cost estimation in manufacturing environments”‚ Proceedings of the 2000 Winter Simulation Conference‚ Orlando‚ FL‚ USA‚ pp. 2048-54. Bell‚ D. (2002)‚ Food and Beverage Cost Control-course Packet‚ Department of Reprographic Services‚ University of Nevada‚ Las Vegas‚ NV.

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    Handout of Crystal Ball

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    Department of Finance Fisher College of Business The Ohio State University Prof. George Pinteris Handout on Crystal Ball This handout supplements the lecture notes on Monte Carlo simulation techniques. In this handout‚ I will discuss how to use Crystal Ball to fit a distribution to historical data and how to produce tornado and sensitivity charts that allow the analyst to evaluate the impact of the model’s driver(s) on the model’s variable(s) of interest (such as firm value or NPV in the

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    divergent

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    1.10 #4: Divergent Title: Divergent Author: Veronica Roth Text Type: Novel Personal Response: This story follows 16 year old Beatrice (Tris) who lives with her family is a dystopian version of Chicago. Society has been divided into five factions‚ each faction is meant to uphold a quality of humanity. The five factions are Abnegation (The selfless)‚ Amity (the peaceful)‚ Candor (the honest)‚ Dauntless (The fearless) and Erudite (The intelligent). When they are 16 the young adults must take

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    topic during grade XI. Pretest was conducted before simulating module and posttest after simulation. From the simulation got mean of pretest 37.34 and posttest 46.41. Through analyzing using paired t test got tcalculation 3.157 with df 31 where ttable 1.695‚ then pretest- posttest said to be statistically different on 95% of significance. Enhancement of posttest compared to pretest was 24.29% .After simulation‚ students assessed the draft and result showed that module have been very good in aspect

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