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System of Systems Acquisition Trade-offs

机译:系统系统采购权衡

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During System of Systems acquisition, organisations aim to satisfy their goals through the procurement of systems, people, training and processes. The most successful organisations undertake these acquisitions as efficiently as possible. For large organisations, a set of goals may be satisfied - to varying degrees - by any one of a large number of potential resource combinations, and so it is necessary to consider the trade-offs exhibited by each combination to find an effective System of Systems architecture. In this paper, we present an approach, supported by tools, that combines techniques from the fields of goal-modelling and multi-objective optimisation to effectively explore these high-level organisational trade-offs. The decision maker can state the organisational problems and provide high-level descriptions of the existing and acquirable systems using a custom domain specific language. The tool then explores the space of potential resource combinations using a multi-objective genetic algorithm and provides the decision maker with a Pareto front of acquisition plans that represent the best trade-offs between the various goals and costs. Furthermore, the technique and tool enables acquisitions to be scheduled to take an account of such factors as maintenance costs, existing system retirement dates, upfront costs for bringing new systems into service, the budgetary constraints of the organisation and how this affects the organisation's ability to satisfy its goals through the acquisition. The approach is evaluated on a realistic case study in which new systems are acquired to support a military scenario whilst considering the existing in-place systems and through-life implications.
机译:在系统收购系统期间,组织旨在通过采购系统,人员,培训和流程来满足目标。最成功的组织尽可能有效地进行这些收购。对于大型组织来说,可以满足一系列目标 - 到不同程度的目标 - 通过大量潜在的资源组合中的任何一个,因此有必要考虑每个组合呈现的权衡,以找到有效的系统系统建筑学。在本文中,我们提出了一种由工具支持的方法,它将来自目标建模和多目标优化领域的技术结合起来,有效地探索了这些高级组织权衡。决策者可以说明组织问题,并使用自定义域特定语言提供现有和可获取的系统的高级描述。然后,该工具使用多目标遗传算法探讨潜在资源组合的空间,并提供决策者,其中包含帕累托的获取计划前面,代表各种目标和成本之间的最佳权衡。此外,该技术和工具使得能够预定要考虑到维护成本,现有系统退休日期的因素,将新系统带入服务的前期成本,组织的预算限制以及这使组织的能力如何影响通过收购来满足其目标。该方法是对一个现实的案例研究评估,其中在考虑现有的就地系统和常规影响时,获得新系统以支持军事场景。

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