Optimization of a Multi-Server Stochastic Financial Queue

Bhupender Kumar Soam, Shweta Bhatia, Kirti Sharma
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Abstract

Profit optimization imperative for any business. The businesses that are dealing with lots of stochastic variables he challenges become severe. Almost all of the business situations can be presented through a mathematical model. In this paper, the functioning of a financial institution such as the insurance firm is modelled as a stochastic queue. The cost model for the queue is developed and optimized for different stochastic parameters using pattern search and classical optimization techniques. An algorithm is written in MATLAB for the purpose. The paper can be referred by firms for practical implementation in order to maximize their profit.

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多服务器随机金融队列的优化
利润优化对任何企业来说都是必不可少的。处理大量随机变量的业务会变得非常严峻。几乎所有的业务情况都可以通过数学模型来表示。本文将保险公司等金融机构的运作建模为随机队列。利用模式搜索和经典优化技术,建立并优化了不同随机参数下的队列成本模型。为此用MATLAB编写了一个算法。本文可供企业参考,以实现企业利润最大化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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