Towards a Rule-based Manufacturing Integration Assistant

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• 作者：Matthias Wieland^a ; ^{Matthias.Wieland@informatik.uni-stuttgart.de} ; Pascal Hirmer^a ; Frank Steimle^a ; Christoph Grö ; ger^a ; Bernhard Mitschang^a ; Eike Rehder^b ; Dominik Lucke^b ; Omar Abdul Rahman^b ; Thomas Bauernhansl^b
• 关键词：Rules ; Integration ; Manufacturing ; Smart-Factory ; Industrie 4.0
• 刊名：Procedia CIRP
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：57
• 期：Complete
• 页码：213-218
• 全文大小：538 K
• 卷排序：57

文摘

Recent developments and steadily declining prices in ICT enable an economic application of advanced digital tools in wide areas of manufacturing. Solutions based on concepts and technologies of the “Internet of Things” or “cyber physical systems” can be used to implement monitoring as well as self-organization of production, maintenance or logistics processes. However, integration of new digital tools in existing heterogeneous manufacturing IT systems and integration of machines and devices into manufacturing environments is an expensive and tedious task. Therefore, integration issues on IT and manufacturing level significantly prevent agile manufacturing. Especially small and medium-sized enterprises do not have the expertise or the investment possibilities to realize such an integration. To tackle this issue, we present the approach of the Manufacturing Integration Assistant - MIALinx. The objective is to develop and implement a lightweight and easy-to-use integration solution for small and medium-sized enterprises based on recent web automation technologies. MIALinx aims to simplify the integration using simple programmable, flexible and reusable “IF-THEN” rules that connect occurring situations in manufacturing, such as a machine break down, with corresponding actions, e.g., an automatic maintenance order generation. For this purpose, MIALinx connects sensors and actuators based on defined rules whereas the rule set is defined in a domain-specific, easy-to-use manner to enable rule modeling by domain experts. Through the definition of rule sets, the workers’ knowledge can be also externalized. Using manufacturing-approved cloud computing technologies, we enable robustness, security, and a low-effort, low-cost integration of MIALinx into existing manufacturing environments to provide advanced digital tools also for small and medium-sized enterprises.