文章基本信息

标题：Adaptation of Manufacturing Machines by the Use of Multiple-Domain-Matrices and Variability Models
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作者：Xuan-Luu Hoang ; Birte Caesar ; Alexander Fay 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：13
页码：1361-1366
DOI：10.1016/j.ifacol.2019.11.388
语种：English
出版社：Elsevier
摘要：Global trends in manufacturing oblige companies to become more adaptable, as the production environment becomes increasingly dynamic. Here, companies have to cope with frequent changes of production requirements and conditions. In order to handle these changes, manufacturing machines have been designed to be reconfigurable. However, to efficiently utilize the available configurations of manufacturing machines, information regarding interdependencies between requirements and resource configurations are needed. Such an information model should enable an efficient usage of available machine configurations and also support the creation of new configurations, if needed. Accordingly, in this contribution, an approach is presented that combines two different modelling concepts. Here, Multiple-Domain-Matrices are used to model interdependencies between production requests and machine configurations and to generate adaptation options. In addition, context-sensitive feature models are utilized to describe the available configurations of the machine. The applicability of the approach is illustrated by an example of a drilling module.
关键词：KeywordsMultiple-Domain-MatrixAdaptationVariability ModelReconfigurable Manufacturing