军用系统中电气元件过时缓解策略的文献综述

Ryan Marcel Rust, A. Elshennawy, L. Rabelo
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引用次数: 0

摘要

本研究的目的是对军事系统中过时的过去研究、涉及的问题和缓解策略进行全面调查。本研究调查了四个类别:1。《报废后果》,2。生命周期阶段与生命周期管理策略,3。3 .报废和成本优化设计;管理和工具。定量方法用于确定本文献综述中使用的55篇文章的关键主题。通过关键词和主题矩阵确定了当前研究中关注的六个主要领域,然后进一步细分为本文讨论的四个类别。深入研究文献表明,关注过时的主要领域是成本优化、过时管理、系统生命周期、设计/系统更新计划、架构/开放系统,以及生命周期结束(EOL)预测。在EOL预测类别中,只有一篇文章提出了机器学习作为预测方法的想法。这一努力表明需要一种更精简的管理办法来处理过时问题。较新的研究表明,人们的兴趣从系统生命周期管理转向预测技术,并展望未来的主动管理改进。本研究展示了处理组件过时的实体面临的机遇和挑战,以及将随之而来的问题最小化的方法。本文确定了报废管理的当前实践,并指出了进一步研究发展的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A LITERATURE REVIEW ON MITIGATION STRATEGIES FOR ELECTRICAL COMPONENT OBSOLESCENCE IN MILITARY-BASED SYSTEMS
The aim of this research is to conduct an all-inclusive investigation on past studies of obsolescence, the issues involved, and tactics for mitigation in military-based systems. This research investigates four categories: 1. Obsolescence Consequences, 2. Life Cycle Stages and Strategies for Life Cycle Management, 3. Design for Obsolescence and Cost Optimisation, and 4. Management and Tools. A quantitative approach was used to determine the key topics of the 55 articles used in this literature review. A keyword and topic matrix was used to determine the six main areas of concern in current research, and then broken down further into the four categories discussed in this paper. A deep dive into the literature shows that the main areas of concern for obsolescence are cost optimisation, obsolescence management, system life cycle, design/system refresh planning, architecture/open systems, and end-of-life (EOL) predictions. In the EOL predictions category, only one article proposed the idea of machine learning as a forecasting method. This effort suggests a need for a more streamlined management approach to tackling obsolescence. Newer research shows an interest shift from system life cycle management towards forecasting techniques and looking towards future proactive management improvements. This study demonstrates opportunities and challenges for entities dealing with component obsolescence and methods for minimising the issues that go along with it. This paper identifies current practices for obsolescence management, and points to areas for further research development.
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