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Ensuring Flexible Design Strategies for Complex Systems Engineering.

确保复杂系统工程的灵活设计策略。

基本信息

批准号：
1834868
负责人：
金额：
--
依托单位：
University of Bristol
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1834868
关键词：
Ensuring Flexible Design Strategies Complex

项目摘要

This PhD seeks to investigate the application of complexity science tools and techniques tosystems engineering and design. Increasingly, companies like Thales are challenged todesign and deliver complex engineered systems that must be able to cope with ongoingchange in both their operational environment and the requirements of their users. Thesecomplex systems are characterised by their architecture (their scale, interconnectivity ofcomponents and ability to exchange information/energy with the environment), theirdynamic behaviour (non-linear, adaptive, decentralised control) and their behaviour (whichmay be emergent, may exhibit non Gaussian distributions). It is important to considercomplexity because conventional systems engineering and design principles are built on afoundation of reductionism and decomposability which are inadequate starting assumptionsto deal with complex systems. The research explores the complexity science approaches inthe application of systems engineering and design. Systems engineering and designprinciples include: requirements analysis, system thinking, system lifecycles, architectureframeworks and evaluation. The tools that could be exploited from complexity scienceinclude: graph theory, agent based modelling, non-linear dynamics and information theory.The research will analyse the utility of these approaches with a view to providing anoverarching framework for the application of complexity science to systems engineering anddesign.

这个博士学位旨在研究复杂性科学工具和技术在系统工程和设计中的应用。像泰雷兹这样的公司越来越多地面临着设计和交付复杂工程系统的挑战，这些系统必须能够科普运营环境和用户需求的持续变化。这些复杂系统的特征在于它们的结构（它们的规模，组件的互连性和与环境交换信息/能量的能力），它们的动态行为（非线性，自适应，分散控制）和它们的行为（可能是紧急的，可能表现出非高斯分布）。它是重要的，因为传统的系统工程和设计原则是建立在还原论和分解的基础上，这是不充分的出发点来处理复杂系统。本研究探索了复杂性科学方法在系统工程与设计中的应用。系统工程和设计原则包括：需求分析、系统思维、系统生命周期、体系结构框架和评估。从复杂性科学中可以利用的工具包括：图论、基于主体的建模、非线性动力学和信息论。本研究将分析这些方法的效用，以期为复杂性科学在系统工程和设计中的应用提供一个总体框架。