DECODE (Decision Environment for COmplex DEsigns )

DECODE（复杂设计的决策环境）

• 批准号: EP/H007431/1
• 负责人: James Scanlan
• 金额: $ 97.97万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FH007431%2F1
• 关键词: DECODE; Decision; Environment; COmplex; DEsigns

Organizations increasingly struggle to deliver large systems against contracted lead-times, budgets and performance targets. Recent, prominent examples of Aerospace and Defence (A&D) programmes that have experienced difficulties include the Airbus A380, Lockheed Martin Joint Strike Fighter (JSF), Airbus A400m, Boeing 787, Pratt and Whitney PW6000. Similar problems typify all other sectors where large systems of systems need to be realised. In many sectors, product complexity is arguably increasing at a greater rate than organizational competence as evidenced by increasingly commonplace aerospace programme failures.The picture is further complicated by rising commercial pressure to offer performance guarantees measured in decades and the ever increasing need to address environmental impact. A&D manufacturers now regard their service and support processes as central to competitive survival. As an example, more than half of Rolls-Royce's 6 billion annual sales now come from services. Hence even at the very early concept stage it is now crucial that the system design process is able to provide a life-cycle perspective.The design decision making process for A&D systems has evolved over many years. In the past a chief engineer would assimilate information from a number of disciplines and use experience, intuition and judgement to make top-down decisions in seeking good trade-offs. The sheer scale, breadth and complexity of current A&D systems no longer permits the design problem to be assimilated by a single individual. Hence the chief engineer role is now largely associated with managing committees of specialists to review and sanction consensus driven / devolved decisions at very large and lengthy design review meetings. The DECODE project will provide breakthrough capbilities in this area by providing design exploration and optimisation supported decision making at a systems level. It will demonstrate an approach that does not currently exist to allow organisations to analyse, search for and understand the optimum trade-offs between capability, cost and life for a complex system. In DECODE users will be able to pose trade-off questions of the simulation environment and receive reliable, quantitative responses on the impact of choices. This feed-back will be provided by a combination of onotology suported data mining and the coupling of flexible geoemtry schemes to large scale grid based computing.To do this an innovative design decision support environment that focuses on value metrics will be used. In effect a Value-Driven mission control capability for design decision making will be researched and developed. This will underpin a series of studies based on a realistic aerospace design challenge. It will integrate early concept design exploration with full resolution, geometry backed design computations and detailed manufacturing and operations models. The research undertaken under DECODE will enable design decision making capabilities that provide holistic optimisation at a system level to maximise satisfaction of all the stakeholders associated with the system. It is intended that this work will take place with loose collaboration with Leeds (Professor Chris Clegg) and Bath (Professor Andy Graves) who will be pursuing related and complementary research in the organisational aspects of design.

组织越来越难以按照合同规定的交付周期、预算和性能目标交付大型系统。最近，航空航天和国防（A&D）计划遇到困难的突出例子包括空中客车A380，洛克希德马丁联合攻击战斗机（JSF），空中客车A400 m，波音787，普惠PW 6000。类似的问题在所有其他需要实现系统的大系统的部门都是典型的。在许多部门，产品复杂性的增长速度可以说超过了组织能力的增长速度，越来越常见的航空航天计划失败就是证明，要求提供以几十年为单位的性能保证的商业压力不断上升，以及日益需要解决环境影响问题，使情况更加复杂。A&D制造商现在将其服务和支持流程视为竞争生存的核心。例如，劳斯莱斯60亿美元的年销售额中有一半以上来自服务。因此，即使在非常早期的概念阶段，现在至关重要的是，系统设计过程中能够提供一个生命周期的观点。A&D系统的设计决策过程已经发展了很多年。在过去，总工程师会从多个学科中吸收信息，并利用经验、直觉和判断做出自上而下的决策，以寻求良好的权衡。当前A&D系统的规模、广度和复杂性不再允许设计问题被单个人所吸收。因此，总工程师的角色现在主要与管理专家委员会有关，以在非常大型和冗长的设计审查会议上审查和批准共识驱动/下放的决策。DECODE项目将通过提供系统级的设计探索和优化支持决策，在这一领域提供突破性的能力。它将展示一种目前不存在的方法，允许组织分析，搜索和理解复杂系统的能力，成本和寿命之间的最佳权衡。在DECODE中，用户将能够提出模拟环境的权衡问题，并收到关于选择影响的可靠的定量答复。这种反馈将通过本体论支持的数据挖掘和灵活的geoemtry计划耦合到大规模的基于grid的computing.To做到这一点的创新设计决策支持环境，重点是价值metrics的组合将被使用。实际上，将研究和开发用于设计决策的价值驱动使命控制能力。这将支持一系列基于现实航空航天设计挑战的研究。它将把早期的概念设计探索与全分辨率、几何支持的设计计算以及详细的制造和操作模型相结合。在DECODE下进行的研究将使设计决策能力能够在系统层面提供整体优化，以最大限度地提高与系统相关的所有利益相关者的满意度。这项工作将与利兹（克里斯·克莱格教授）和巴斯（安迪·格雷夫斯教授）密切合作，他们将在设计的组织方面进行相关和互补的研究。