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Method to assess the adherence of internal logistics equipment to the concept of CPS for industry 4.0

机译:评估内部物流设备遵守工业4.0的CPS概念的方法4.0

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摘要

Industry 4.0 foresees benefits to companies and is supported by technologies such as Cyber-Physical Systems (CPS), Internet of Things (IoT), Internet of Services (IoS), among others. CPS, one of Industry 4.0's key technologies, can be applied in many areas including health, mobility, production and logistics. The partial or total incorporation of CPS technologies into internal logistics equipment can present such advantages to businesses as reductions in logistics operational costs and in production cycle times. Although this application is still under development, several manufacturers already offer to the market internal logistics equipment incorporating CPS technologies, presenting them as fully capable of operating in the Industry 4.0 environment. However, it is observed that there is no effective method of assessing whether these devices effectively integrate such technologies and at what level this integration occurs. This manuscript adopted the design science research methodology to propose a method for assessing the adherence of internal logistics equipment to the CPS concept for Industry 4.0. The method is based on a guide for collecting data with questions that identify information about the CPS technologies embedded in the internal logistics equipment, associated with a tool for processing this information. The tool is supported by a properly trained artificial neural network that measures the equipment's adherence to the CPS concept. The method has proved to be adequate because in its application it assessed fifteen equipment, from worldwide-renowned manufacturers, with an error of less than 2%.
机译:工业4.0预计对公司的福利,并得到网络物理系统(CPS),物联网(物联网),服务互联网(iOS)等技术支持。 CPS是行业4.0的关键技术之一,可应用于许多地区,包括健康,流动性,生产和物流。 CPS技术进入内部物流设备的部分或全面纳入企业的优势,以减少物流运营成本和生产周期时间。虽然此申请仍在开发中,若干制造商已经提供给包含CPS技术的市场内部物流设备,呈现为完全能够在行业4.0环境中运营。然而,观察到没有有效的方法,评估这些设备是否有效地集成了这种技术以及这种集成发生的级别。该稿件采用了设计科学研究方法,提出了一种评估内部物流设备遵守工业4.0的CPS概念的方法。该方法基于用于收集数据的指南,其中包含识别内部物流设备中嵌入的CPS技术的信息,与用于处理此信息的工具相关联。该工具由经过适当培训的人工神经网络支持,该网络测量设备对CPS概念的遵守。该方法已被证明是足够的,因为在其应用中,它评估了来自全球知名制造商的十五个设备,错误误差小于2%。

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