Measurement Model of Smart Factory Technology in Manufacturing Fields based on IIoT and CPS

C. Yoon
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引用次数: 3

Abstract

Smart factory in manufacturing industry has driven as a critical manufacturing industry policy in the 4th industrial revolution. Manufacturing industry has also built its smart technology environment appropriate for its manufacturing fields in order to improve its production activity and competitiveness. Its smart factory is very crucial for its innovative production and business activities, and for the efficient advancement of its performance. For managing and upgrading smart factory, an objective measurement framework has to be developed to reasonably gauge a smart factory technology of manufacturing fields. The trends of smart factory technology have generally been researched as major technologies such as IIoT and CPS. This research develops a measurement framework for the smart factory technology of manufacturing fields based on IIoT and CPS technologies. The measurement model for a smart factory technology consists of IIoT and CPS measurement domains. Each measurement domain has three or four measurement factors with twelve or sixteen measurement items. Hence, this study presents a measurement model that can gauge the smart factory technology of manufacturing fields with two measurement domains, seven measurement factors, and twenty-eight measurement items in a smart factory technology perspective.
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基于工业物联网和CPS的制造领域智能工厂技术测量模型
在第四次工业革命中,制造业智能工厂已成为一项关键的制造业政策。制造业为了提高生产活跃性和竞争力,也构建了适合其制造领域的智能技术环境。其智能工厂对于其创新的生产和经营活动,以及对其绩效的有效提升至关重要。为了管理和提升智能工厂,需要制定一个客观的衡量框架,合理地衡量制造领域的智能工厂技术。智能工厂技术的发展趋势通常被研究为IIoT和CPS等主要技术。本研究开发了一个基于工业物联网和CPS技术的制造领域智能工厂技术测量框架。智能工厂技术的测量模型由IIoT和CPS测量域组成。每个测量领域有三个或四个测量因素,包含十二个或十六个测量项。因此,本研究提出了一个测量模型,可以在智能工厂技术视角下,用两个测量域、七个测量因子、二十八个测量项目来衡量制造领域的智能工厂技术。
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