University of southampton COURSEWORK PART C [Type the document subtitle] AHMAD ALHARBI 1/29/2010 [As businesses are becoming more complex with time, simulation has gained quite some popularity. Two types of simulation, namely, agent based simulation and Monte Carlo Simulation are discussed in this paper and how they apply to real life situation] Table of Contents Table of Contents 1 Introduction With the businesses growing more complex and science getting more advanced with time, simulation plays a significant role as it allows complex organization to test operations through imitating a model of the system before hand…
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For any kind of simulation, a different model has to be developed. There are two such models, namely, Agent based simulation and Monte Carlo simulation. In this paper, an attempt has been made to review to scholarly articles where the above mentioned simulations have been applied in real life situations. For agent based simulation, a case study of non-pharmaceutical strategies to combat influenza has been selected. For Monte Carlo simulation, improving the reliability and performance of the transportation network of Istanbul under earthquake has been selected. The idea is to review the case study to understand the problem faced and how simulation helped solved the issue through its unique characteristics. Agent Based Simulation Agent based simulation is an approach whereby agents are used to note the extent to which the project is a success for a certain kind of simulation. In the paper by Mao, the non-pharmaceutical strategies to combat influenza were considered under agent based simulation. ...
These agents were taken from Buffalo, New York and they were further categorized into different locations as well as timings. It was assumed that these agents met a variety of people when socializing and travelling and thus could be good agents of carrying and transporting the influenza virus. In order to kick start the study, five agents were introduced in the case study already carrying the influenza virus and thus spread the virus within the state. These agents were asked to resume normal day activities and socialize also so as to create an accurate study (Mao, 2011). The results of the survey showed that when flu was extended to two more days, it is expected to minimize the seasonal influenza’s disease attack rate. With a three day extension, more desirable results were to be found as the spread of the disease is further curtailed. This was because when people limit their interactions with others, the spread of the virus is also limited. This strategy was thus found to be quite practical since individuals can easily take a day off when they have caught the seasonal flu. Such a strategy can be advantageous in countries that do not have access to proper vaccination and pharmaceutical medicines (Mao, 2011). Monte Carlo Simulation – Case Study of Istanbul’s Transportation Network Ordinarily, during natural or man-made disasters, chaos ensues. This makes it difficult to effectively develop a disaster response as transportation is the most impacted area of the disaster. For rescue and relief operations to be carried out effectively, transportation system of water, energy, communication should be effective. In order to deal with this complex issue, the study conducted by Gunnec
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“Simulation Essay Example | Topics and Well Written Essays - 1000 Words”, n.d. https://studentshare.org/management/1466231-simulation.
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