自动化
工业4.0
计算机科学
质量(理念)
系统工程
信息物理系统
软件工程
鉴定(生物学)
领域(数学分析)
工程管理
生产(经济)
制造工程
过程管理
工程类
嵌入式系统
机械工程
数学分析
哲学
植物
数学
宏观经济学
认识论
经济
生物
操作系统
作者
Pablo Oliveira Antonino,Rafael Capilla,Patrizio Pelliccione,Frank Schnicke,Daniel Espen,Thomas Kühn,K. Schmid
标识
DOI:10.1016/j.aei.2022.101801
摘要
The increasing importance of automation and smart capabilities for factories and other industrial systems has led to the concept of Industry 4.0 (I4.0). This concept aims at creating systems that improve the vertical and horizontal integration of production through (i) comprehensive and intelligent automation of industrial processes, (ii) informed and decentralized real-time decision making, and (iii) stringent quality requirements that can be monitored at any time. The I4.0 infrastructure, supported in many cases by robots, sensors, and algorithms, demands highly skilled workers able to continuously monitor the quality of both the items to be produced and the underlying production processes. While the first attempts to develop smart factories and enhance the digital transformation of companies are under way, we need adequate methods to support the identification and specification of quality attributes that are relevant to I4.0 systems. Our main contribution is to provide a refined version of the ISO 25010 quality model specifically tailored to those qualities demanded by I4.0 needs. This model aims to provide actionable support for I4.0 software engineers that are concerned with quality issues. We developed our model based on an exhaustive analysis of similar proposals using the design science method as well as expertise from seasoned engineers in the domain. We further evaluate our model by applying it to two important I4.0 reference architectures further clarifying its application.
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