Title: Adaptation of Manufacturing Machines by the Use of Multiple-Domain-Matrices and Variability Models
Authors: Hoang, Xuan-Luu
Caesar, Birte
Fay, Alexander 
Language: eng
Issue Date: 2019
Publisher: Elsevier
Document Type: Conference Object
Journal / Series / Working Paper (HSU): IFAC-PapersOnLine
Volume: 52(2019)
Issue: 13
Page Start: 1361
Page End: 1366
Publisher Place: Amsterdam
Conference: 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019 Berlin, Germany, 28–30 August 2019
Abstract: 
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
Organization Units (connected with the publication): Automatisierungstechnik 
Verlags-DOI: 10.1016/j.ifacol.2019.11.388
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