Capabilities and skills for manufacturing planning in an automotive use case scenario

IF 0.7 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
S. Grimm, Alois Haselböck, Jörg Neidig, K. Perry, J. Peschke, Oliver Scharm, Jens Schnittger
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引用次数: 0

Abstract

Abstract The necessity for increased flexibility in production and handling of high-variant product families is a strong trend in Industry 4.0 scenarios. A promising approach to achieve this is to replace the rigid programming of the manufacturing management systems by a declarative description of machines and their functionality. This allows for a dynamic allocation of tasks to resources. This paper reports the ongoing work on applying the concept of capabilities and skills to an industrial application example in order to investigate its potential benefits. To apply the abstract concept of capabilities and skills to the production scenario it is implemented using specific technologies. These include Semantic Web ontologies, constraint solving methods and OPC UA for skill invocation and communication.
在汽车用例场景中进行制造计划的能力和技能
在工业4.0场景中,提高生产和处理高变体产品族的灵活性的必要性是一个强大的趋势。实现这一目标的一个有希望的方法是用机器及其功能的声明性描述取代制造管理系统的严格编程。这允许对资源进行任务的动态分配。本文报告了将能力和技能的概念应用于工业应用示例的正在进行的工作,以调查其潜在的好处。为了将能力和技能的抽象概念应用于生产场景,它使用特定的技术来实现。其中包括语义Web本体、约束求解方法和用于技能调用和通信的OPC UA。
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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