SWORD: the latest weapon in the project selection arsenal

IEEE Systems and Information Engineering Design Symposium, 2003 Pub Date : 2003-04-24 DOI:10.1109/SIEDS.2003.158010

J. Crawford, J. Do, C. Leduc, A. Malik, K. Gormley, E. Luebke, W. Scherer

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引用次数: 6

Abstract

This project addresses a current need of The Aerospace Corporation, a federally-funded research and development (R&D) center, to make appropriate project selections on a yearly basis. The technology roadmap concept was integrated with a discrete sequential stochastic dynamic program to model the project selection problem. We have created a software package (SWORD): Simulation With Optimization for Research and Development to implement the proposed model. SWORD utilizes a combination of COTS (Commercial Off-The-Shelf) tools: Microsoft Project, Excel, Crystal Ball, and OptQuest to produce heuristic solutions to the NP complete problem. Included in the model are inputs, such as project cost and project probability of failure, that allow for the analysis of different R&D project selection strategies. The model will output a suggested R&D investment strategy for Aerospace for a variable number of years. Along with this, the model estimates the total utility, or total benefit, of pursuing that specific portfolio of projects along with numerous other performance statistics.

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剑:项目选择武器库中的最新武器

该项目解决了美国航空航天公司(一家由联邦政府资助的研发中心)的当前需求，以每年为基础做出适当的项目选择。将技术路线图概念与离散顺序随机动态规划相结合，对项目选择问题进行建模。我们已经创建了一个软件包(SWORD):仿真优化研究和开发来实现所提出的模型。SWORD利用COTS(商用现货)工具的组合:Microsoft Project、Excel、Crystal Ball和OptQuest来生成NP完全问题的启发式解决方案。模型中包括项目成本和项目失败概率等输入，用于分析不同的研发项目选择策略。该模型将输出一个建议的研发投资战略，为航空航天的可变数年。除此之外，该模型还会估计追求特定项目组合的总效用或总收益，以及许多其他性能统计数据。

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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IEEE Systems and Information Engineering Design Symposium, 2003

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