A Redesign Decision Model for Large-Scale Complex Sustainment-Dominated Systems

被引:3
|
作者
Classi, Cal C. [1 ,2 ]
Nowicki, David R. [3 ]
Dickens, John M. [4 ]
Glassburner, Aaron, V [4 ]
机构
[1] Stevens Inst Technol, Hoboken, NJ 07030 USA
[2] Northrop Grumman, Orlando, FL 32826 USA
[3] Univ North Texas, Denton, TX 76203 USA
[4] Air Force Inst Technol, Wright Patterson AFB, OH 45433 USA
关键词
Mathematical model; Aging; Decision making; Systems thinking; Surface acoustic waves; Linguistics; Planning; Fuzzy; multiattribute decision-making method; sustainment dominated systems; systems thinking; technology refresh planning (TRP); TECHNOLOGY INSERTION; OBSOLESCENCE; REPLACEMENT; SELECTION; COST; ART;
D O I
10.1109/TEM.2021.3092962
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article presents a fuzzy, multiattribute decision-making method to assist managers in making more informed technology refresh planning decisions; especially when evaluating large-scale complex sustainment-dominated systems. These types of systems have inherently long operational lives, thereby incurring multiple technology design refreshes throughout their extensive lifecycles. Strategically planning for these technology refreshes presents a significant engineering, business, and logistical challenge. Existing refresh planning models are limited as they do not consider a systems' view when forming recommendations, which can lead to suboptimal decisions. The mathematical models developed in this article are the foundation of the fuzzy, multiattribute decision-making method that allows engineering managers to use a systems' thinking approach to evaluate competing technology refresh options. When applied to multidisciplinary projects, the fuzzy, multiattribute decision-making method evaluates several competing and complementary redesign drivers, leading to more informed systems refresh recommendations.
引用
收藏
页码:3410 / 3420
页数:11
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