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  4. Graph Model Based Bill of Material Structure for Coupling Product Development and Production Planning
 
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January 1, 2023
Conference Paper
Title

Graph Model Based Bill of Material Structure for Coupling Product Development and Production Planning

Abstract
Currently, a common way of collaboration between product development and production planning is working with a Bill of Material (BOM) in terms of Concurrent Engineering, which is characterized by a structure as a traditional relational data model. Even though such a BOM can serve as a single point of truth of the product structure, it still leads to information discontinuities from upper- to downstream engineering teams, as they use BOM data for different purposes. Hence, a restructuring work of the product development oriented BOM is needed for tasks in production planning, so that the hierarchy is adapted. The parts structure needs to be rearranged to meet the requirements of the manufacturing and assembly processes. In the circumstances of volatile global market and varying customer needs, the BOM structured in relational data model provides insufficient digital consistency to reach an appropriate time-to-market and quick response on product changes and variations. In order to be able to cope with the increasing amounts of heterogeneous data, graph data model approaches are playing an essential role. Due to its non-centric information representation, it can be used as a neutral data model to dissolve boundaries in engineering. A graph model based BOM structure can fulfill both tasks in product development and production planning directly. Thus, it can reach an optimized consistency concerning information flow through various engineering activities as well. This paper proposes the graph model based BOM to minimize efforts and gaps in collaboration between product development and production planning. In addition, it also shows further potentials of usage in engineering.
Author(s)
Hu, Xiaodu
Univ. Stuttgart, Institut für Arbeitswissenschaft und Technologiemanagement -IAT-  
Barwasser, Adrian  
Univ. Stuttgart, Institut für Arbeitswissenschaft und Technologiemanagement -IAT-  
Werner, Andreas  
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Schuseil, Frauke  orcid-logo
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Lentes, Joachim  
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Hertwig, Michael  
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Zimmermann, Nikolas  
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Mainwork
Intelligent and Transformative Production in Pandemic Times  
Conference
International Conference on Production Research 2021  
DOI
10.1007/978-3-031-18641-7_55
Language
English
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Keyword(s)
  • Bill of Material

  • Engineering

  • Graph data mode

  • Non-relational data model

  • Production development

  • Production planning

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