柔性和可靠性条件下处置机制的非随机优化方法

Tripathy Pk, M. Pattnaik
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引用次数: 11

摘要

本文通过扩展Tripathy等人(11)的工作,考虑系统成本在灵活性和可靠性准则下是模糊的,重点研究了最优处置机制。研究发现,采用非随机优化技术所得到的处置方案在清晰模型和模糊模型之间的系统成本差异不大。各种数值分析证明了该方法的有效性。通过鲁棒性研究得到的最佳订货量总体上是令人满意的。最后通过数值算例进行灵敏度分析,说明了关键模型参数的影响。基于一致性研究,模糊策略优于固定成本策略。通过灵敏度和鲁棒性分析,结果表明该方法的性能优于其清晰的模型。AMS(2000)课题分类号:90B05。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Non-Random Optimization Approach to a Disposal Mechanism Under Flexibility and Reliability Criteria
This paper focuses on an optimal disposal mechanism by extending the work of Tripathy et al. (11) to consider the system cost as fuzzy under flexibility and reliability criteria. It has been observed that by using a non-random optimization technique the derived disposal plan may result in no substantial difference in the system cost between the crisp and fuzzy model. Various numerical analyses demonstrate the effectiveness of proposed method. The results of the best order size obtained by the robust study are in general, very satisfactory. Finally through numerical examples sensitivity analysis show the influence of key model parameters. Based on consistency study, fuzzy strategy is better off than that of fixed cost strategy. Through sensitivity and robust analysis the results indicate that the performance of the proposed approach is superior to that of its crisp model. AMS (2000) Subject classification No: 90B05.
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