Paper Info
Title
Method for digital evaluation of existing production systems adequacy to changes in product engineering in the context of the automotive industry
Abstract
Current industry practices during the Product Development Process (PDP) still points to the isolation of knowledge domains even with the increase of digitalization. Considering manufacturing process constrains from the beginning of the PDP avoids problems in later stages during the whole product life cycle. Through the application of concepts of the Digital Thread approach, the opportunity to intelligently integrate knowledge into product development is presented, creating a “digital fabric” capable of directing and supporting all stages of the product life cycle. Through these concepts, this research proposes the elaboration of an ontological model and application method capable of evaluating, in real time, the adequacy of the existing production systems, integrating the project and process information. The methodological framework used for the development of this method was Design Science Research. In this way, six steps were performed: (i) problem identification and motivation; (ii) definition of the objectives of the solution; (iii) artifact design and development; (iv) demonstration; (v) evaluation; and, (vi) results report. Through the description of manufacturing systems, the solution contributes to the digital evaluation and facilitates the decision making regarding productive systems, as well as data recovery, reutilization and management. In order to do an initial framework validation, it was performed the application of adequacy principles of a specific production line in automotive sector. However, this choice of a complex industry sector translates a clear possibility of framework adaptation to another industrial segment.
Year
DOI
Venue
2019
10.1016/j.aei.2019.100942
Advanced Engineering Informatics
Keywords
Field
DocType
Model-based engineering,Ontology,Product development process,Production systems
Product engineering,Ontology,Systems engineering,Manufacturing engineering,Production line,Design science research,Engineering,Data recovery,Product lifecycle,Automotive industry,New product development
Journal
Volume
ISSN
Citations 
42
1474-0346
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Jaqueline Sebastiany Iaksch100.34
Milton Borsato2207.46