Proceedings of the 1995 Winter Simulation Conference ed. C. Alexopoulos‚ K. Kang‚ W. R. Lilegdon‚ and D. Goldsman A SIMULATION AND ANALYSIS OF BANK TELLER MANNING Donald Hammond Sathi Mahesh Department of Management The University of New Orleans New Orleans‚ Louisiana U.S.A. ABSTRACT This paper presents an application study to find cost effective bank teller management policies for providing high quality service levels at reasonable costs in a modern banking system. Two models are developed
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Microeconomics and the Laws of Supply and Demand: A Simulation D. Buress ECO/365 February 2‚ 2015 R. Caratao Microeconomics and the Laws of Supply and Demand: A Simulation The simulation this week was based on an apartment rental agency‚ GoodLife Management‚ in the fictitious town of Atlantis. GoodLife Mgmt. manages the month-to-month rental of 2- bedroom apartment units. By using different situations and assumptions‚ the simulation provides examples of how certain market factors can affect the supply
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HBP management simulation Analysing cause and effect relationship Team attributes: The team morale (TM) and stress level (SL) seem to be caused by common parameters. Their correlation is first positive and then becomes negative. The turning point is at the SL 1.2 approximately. The effects of positive and negative stress explain this relation‚ respectively. A SL below 0.9 is low‚ indicating the team is bored and is linked to low TM‚ which reflects an absence of challenge. Here‚ an increase
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Chapter 1: Types of Simulation Contents Introduction ................................................................................................................................ 2 The Basic Simulation Process................................................................................................... 2 Figure 1.01: Basic Simulation Process............................................................................ 2 Figure 1.02: Decision Cycle.........................................
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Change Management Simulation - Executive Report Change & Crisis Management Executive Summary The following executive report is a result of what our change plan achieved throughout the simulation. Our results of this simulation were positive. Although we did not reach the adoption process‚ we had a number of people in the aware‚ interested‚ and appraisal/trial stage ending in a total of 63.5 points.The tactics that we utilized were effective‚ although with 17.5 weeks left we were not
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1. Technical Report 1.1. Objective of the Simulation The purpose of this research is to analyze the SAMS financial institution’s probably increase in effectiveness and efficiency through implementation of an electronic document system. We make estimates about what changes to timing will occur from the proposed changes in the work process‚ and measure improvement in terms of customers cases served per week. Serving more customers per week increases the competitiveness and profitability of SAMS
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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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Monte Carlo Simulation Using RiskSim 10 10.1 RISKSIM OVERVIEW RiskSim is a Monte Carlo Simulation add-in for Microsoft Excel 2000–2010 (Windows) and Microsoft Excel 2004 (Macintosh). RiskSim provides random number generator functions as inputs for your model‚ automates Monte Carlo simulation‚ and creates charts. Your spreadsheet model may include various uncontrollable uncertainties as input assumptions (e.g.‚ demand for a new product‚ uncertain variable cost of production‚ competitor reaction)
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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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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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