Utilizing RISKOptimizer to manage quality performance

R. Nersesian, M. Troutt, G. Weinroth
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引用次数: 3

Abstract

New software products are now available that offer solutions to operational problems that could not be handled by traditional linear programming. The problem of quality performance described could previously only have been handled by writing a special purpose simulation program. Now it can be solved in a spreadsheet environment using Evolver and RISKOptimizer software. Evolver can identify a global rather than a local optimal solution when non‐linear relationships are present. RISKOptimizer takes the process one step further. It combines @RISK simulation capablity with Evolver’s optimization algorithms to handle stochastic variables (uncertain demand and prices).
利用RISKOptimizer管理质量绩效
新的软件产品现在可以为传统线性规划无法处理的操作问题提供解决方案。所描述的质量性能问题以前只能通过编写特殊用途的仿真程序来处理。现在可以使用Evolver和RISKOptimizer软件在电子表格环境中解决这个问题。当存在非线性关系时,进化器可以识别全局最优解而不是局部最优解。RISKOptimizer将这一过程推进了一步。它结合了@RISK模拟能力和Evolver的优化算法来处理随机变量(不确定的需求和价格)。
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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