Semi-automatic assessment of lack of control code documentation in automated production systems

IF 0.9 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
Q. Dong, Birgit Vogel-Heuser, E. Neumann
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引用次数: 0

Abstract

Abstract This paper first examines the current state of industrial practice of documentation in automated production systems based on a large-scale survey in machine and plant manufacturing proving that companies still face major challenges in documentation. However, insufficient documentation creates friction since it may increase the risk of malfunction and high costs, and impede system development due to lack of traceability, especially for control software being one of the main functionality carriers. Therefore, secondly, a risk priority indicator RPI4DD is proposed to systematically capture the lack of control code documentation to avoid undesired costs due to inadequate documentation.
自动化生产系统中缺乏控制代码文档的半自动评估
摘要本文首先基于机器和工厂制造业的一项大规模调查,考察了自动化生产系统中文档编制的工业实践现状,证明公司在文档编制方面仍然面临重大挑战。然而,文档不足会产生摩擦,因为它可能会增加故障和高成本的风险,并由于缺乏可追溯性而阻碍系统开发,尤其是对于作为主要功能载体之一的控制软件。因此,第二,提出了一个风险优先级指标RPI4DD,以系统地捕捉控制代码文档的缺乏,从而避免由于文档不足而产生不期望的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
At-Automatisierungstechnik
At-Automatisierungstechnik 工程技术-自动化与控制系统
CiteScore
2.00
自引率
10.00%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Automatisierungstechnik (AUTO) publishes articles covering the entire range of automation technology: development and application of methods, the operating principles, characteristics, and applications of tools and the interrelationships between automation technology and societal developments. The journal includes a tutorial series on "Theory for Users," and a forum for the exchange of viewpoints concerning past, present, and future developments. Automatisierungstechnik is the official organ of GMA (The VDI/VDE Society for Measurement and Automatic Control) and NAMUR (The Process-Industry Interest Group for Automation Technology). Topics control engineering digital measurement systems cybernetics robotics process automation / process engineering control design modelling information processing man-machine interfaces networked control systems complexity management machine learning ambient assisted living automated driving bio-analysis technology building automation factory automation / smart factories flexible manufacturing systems functional safety mechatronic systems.
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