Frustrated with Obsolescence — Try Changing Your Mental Model

Matthew Chellin, Erika Miller
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Abstract

This article explores mental models on obsolescence management to assist with mitigating obsolescence for Command, Control, Computers, Communications, Cyber, Intelligence, Surveillance, and Reconnaissance (C5ISR) systems. A systems-thinking methodology was used to develop these mental models, which were validated through interviews with 10 participants. The participants were U.S. Army acquisition practitioners at Aberdeen Proving Ground, Maryland. This research complements the tools and training for mitigating obsolescence by deepening an organization’s understanding of the relationships among systems and the mental models that influence obsolescence management. These mental models are foundational to the interaction relationships of the system of interest (Diminishing Manufacturing Sources and Material Shortages, or DMSMS Management System) within the context of engineered systems. This is enabled by supporting systems such as the supply chain, configuration management, and the budget. Furthermore, this research presents a novel model of the systems within the obsolescence management system. Based on the relationships in the causal loop diagrams and application of a risk-based proactive obsolescence management mental model, one can predict a higher or lower likelihood of successfully mitigating a C5ISR system’s obsolescence.
对过时感到沮丧——试着改变你的思维模式
本文探讨了过时管理的心理模型,以帮助减轻命令、控制、计算机、通信、网络、情报、监视和侦察(C5ISR)系统的过时。系统思维方法被用于开发这些心智模型,并通过对10名参与者的访谈进行了验证。参与者是美国陆军在马里兰州阿伯丁试验场的采办人员。这项研究通过加深组织对影响过时管理的系统和心智模型之间关系的理解,补充了减轻过时的工具和培训。这些心智模型是在工程系统的背景下对感兴趣的系统(减少制造资源和材料短缺,或DMSMS管理系统)的交互关系的基础。这可以通过支持系统来实现,比如供应链、配置管理和预算。在此基础上,提出了一种新的报废管理系统的系统模型。基于因果循环图中的关系和基于风险的主动报废管理心理模型的应用,可以预测成功减轻C5ISR系统报废的可能性是高还是低。
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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