The derivation and visualization of supply network risk profiles from product architectures

IF 1.6 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL Systems Engineering Pub Date : 2022-09-01 DOI:10.1002/sys.21622
A. McKay, Richard Chittenden, Tom Hazlehurst, A. Pennington, Richard Baker, T. Waller
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引用次数: 1

Abstract

The architectures of extended enterprises, including the supply networks that design, develop and support large, complex, engineered products, often reflect system‐level design decisions made very early in the product development process. Design tools used at this, preliminary design, stage focus on the physics and optimization of product system behaviors. Comparable tools for the consideration of extended enterprise perspectives at this stage are not available despite the costs of non‐quality often attributed to supply chain issues related to early design decisions. This paper introduces an interface to a discrete event simulation package that derives supply chain processes from product system architectures, so enabling the quantification and visualization of supply chain risk in early design decisions. The interface uses input data, in the form of a product architecture and associated make‐buy scenarios, which are available in the preliminary design process. Supplier data needed to drive the simulations is predefined and editable by users. Results from a proof‐of‐concept software prototype demonstrate the feasibility of generating enterprise architectures from product architectures and coupling these with a systems design vee model to create executable simulation models that can be used to identify, quantify and visualize engineering supply chain process operations and consequential risks.
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从产品体系结构推导和可视化供应网络风险简介
扩展企业的架构,包括设计、开发和支持大型、复杂的工程产品的供应网络,通常反映了在产品开发过程的早期做出的系统级设计决策。在这个初步设计阶段使用的设计工具侧重于产品系统行为的物理和优化。尽管非质量成本通常归因于与早期设计决策相关的供应链问题,但在这一阶段,用于考虑扩展企业视角的可比工具是不可用的。本文介绍了一个离散事件模拟包的接口,该包从产品系统架构中派生供应链过程,因此可以在早期设计决策中对供应链风险进行量化和可视化。该界面使用输入数据,以产品架构和相关的制造-购买场景的形式,这些数据在初步设计过程中可用。驱动模拟所需的供应商数据是预定义的,用户可以对其进行编辑。概念验证软件原型的结果证明了从产品架构生成企业架构的可行性,并将其与系统设计模型相结合,以创建可执行的仿真模型,该模型可用于识别、量化和可视化工程供应链流程操作和相应风险。
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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来源期刊
Systems Engineering
Systems Engineering 工程技术-工程:工业
CiteScore
5.10
自引率
20.00%
发文量
0
审稿时长
6 months
期刊介绍: Systems Engineering is a discipline whose responsibility it is to create and operate technologically enabled systems that satisfy stakeholder needs throughout their life cycle. Systems engineers reduce ambiguity by clearly defining stakeholder needs and customer requirements, they focus creativity by developing a system’s architecture and design and they manage the system’s complexity over time. Considerations taken into account by systems engineers include, among others, quality, cost and schedule, risk and opportunity under uncertainty, manufacturing and realization, performance and safety during operations, training and support, as well as disposal and recycling at the end of life. The journal welcomes original submissions in the field of Systems Engineering as defined above, but also encourages contributions that take an even broader perspective including the design and operation of systems-of-systems, the application of Systems Engineering to enterprises and complex socio-technical systems, the identification, selection and development of systems engineers as well as the evolution of systems and systems-of-systems over their entire lifecycle. Systems Engineering integrates all the disciplines and specialty groups into a coordinated team effort forming a structured development process that proceeds from concept to realization to operation. Increasingly important topics in Systems Engineering include the role of executable languages and models of systems, the concurrent use of physical and virtual prototyping, as well as the deployment of agile processes. Systems Engineering considers both the business and the technical needs of all stakeholders with the goal of providing a quality product that meets the user needs. Systems Engineering may be applied not only to products and services in the private sector but also to public infrastructures and socio-technical systems whose precise boundaries are often challenging to define.
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