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首页> 外文期刊>International Journal of Production Research >A framework with revised rough-DEMATEL to capture and evaluate requirements for smart industrial product-service system of systems
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A framework with revised rough-DEMATEL to capture and evaluate requirements for smart industrial product-service system of systems

机译:带有经过修订的粗DEMATEL的框架,可捕获和评估系统智能工业产品服务系统的需求

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摘要

Smart industrial product-service system of systems (SiP-S3) is a new extension of industrial PSS via smart technology and SoS (system of systems) engineering. A framework with revised rough-DEMATEL method is proposed to capture and evaluate requirements for SiP-S3. From the various interactions in value stream mapping of SiP-S3, business, functional and non-functional requirements can be captured and converged into SiP-S3 requirements. Due to the interrelation between requirements of SiP-S3 and uncertainty of expert judgments, rough-DEMATEL is adopted but is revised in two aspects. Generally, SiP-S3 requirement items are plentiful, a set of programming code for rough set approximation is firstly given to reduce manual calculation burden. Moreover, compared to multiple operators of modified-CFCS (converting fuzzy values into crisp scores) plus SVL (single vector-length), a feasible and simpler operator of AVL (average vector-length) on rough-prominence and rough-relation is firstly devised to prioritise requirements. As such, roughness can be remained till at the end of calculation procedure to avoid uncertain assessment information loss. Surface mount technology (SMT) is not trivial in electronic manufacturing service industry, an illustrative case study of SMTE-S3 (SMT equipment-service system of systems) is demonstrated to verify feasibility and potential of proposal methodological framework.
机译:智能工业产品服务系统系统(SiP-S3)是通过智能技术和SoS(系统系统)工程技术对工业PSS的新扩展。提出了一种具有改进的粗DEMATEL方法的框架,以捕获和评估SiP-​​S3的要求。通过SiP-S3的价值流映射中的各种交互,可以捕获业务,功能和非功能需求并将其融合为SiP-S3需求。由于SiP-S3的要求与专家判断的不确定性之间存在相互关系,因此采用了粗略的DEMATEL,但在两个方面进行了修订。通常,SiP-S3要求项很多,为了减少人工计算负担,首先给出了一组用于粗糙集近似的编程代码。此外,与修改后的CFCS(将模糊值转换为清晰分数)和SVL(单个矢量长度)的多个算子相比,首先是可行的,更简单的AVL(平均矢量长度)算子在粗大度和粗略关系上旨在优先考虑需求。这样,可以保持粗糙度直到计算过程结束,以避免不确定的评估信息丢失。表面贴装技术(SMT)在电子制造服务行业中并非微不足道,通过对SMTE-S3(系统的SMT设备-服务系统)进行说明性案例研究,以验证提议的方法框架的可行性和潜力。

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