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

The derivation and visualization of supply network risk profiles from product architectures
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从产品架构中推导和可视化供应网络风险状况

DOI:
10.1002/sys.21622
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发表时间:
2022
影响因子:
2
通讯作者:
McKay A
McKay A
中科院分区:
工程技术3区
文献类型:
--
作者:
McKay A

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扩展企业的架构,包括设计、开发和支持大型、复杂、工程化产品的供应网络,通常反映了产品开发过程中很早就做出的系统级设计决策。初步设计阶段使用的设计工具主要关注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,但在此阶段还没有考虑扩展企业视角的可比工具。本文介绍了一个接口的离散事件仿真包,从产品系统架构的供应链流程,使供应链风险的量化和可视化的早期设计决策。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,可由用户编辑。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,并将这些架构与系统设计模型耦合,以创建可执行的仿真模型,这些模型可用于识别,量化和可视化工程供应链流程操作和相应的风险。
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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