A Graph-Based Knowledge Model for Value-Oriented PLM Implementation

Bas Koomen*, Marcel de Klein, Mayke Vergouwen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Product Lifecycle Management (PLM) has matured over the last two decades. The software and the market have evolved, resulting in a small number of dominant vendors offering an array of functionality in their software platforms. Moreover, PLM software is becoming available in the cloud as a service (Software-as-a-Service, SaaS). These developments impact the Value Added Resellers (VARs) who deliver software and services to the users of the PLM software. The VARs need to focus more on their added value by providing contextual application knowledge for PLM software in specific business environments. The management of this knowledge is a challenge for VARs because this relies strongly on tacit, empirical knowledge that resides in the heads of their staff. This paper describes a methodology that uses Benefit Dependency Networks to capture, manage, and reuse this knowledge. The methodology is based on the literature and then modified with insights from case studies with a PLM VAR. All relevant contextual elements in an extended Benefit Dependency Network of a PLM implementation are registered in a Graph Model, allowing consultants to find answers within a given industry context and configure a customer-specific implementation plan. The paper also describes a software design built on a Graph Database to use this knowledge in an operational VAR environment and build a foundation for future machine learning in implementation knowledge.

Original languageEnglish
Title of host publicationProduct Lifecycle Management
Subtitle of host publicationGreen and Blue Technologies to Support Smart and Sustainable Organizations
EditorsOsiris Canciglieri Junior, Frédéric Noël, Louis Rivest, Abdelaziz Bouras
Place of PublicationCham
Number of pages15
ISBN (Electronic)978-3-030-94399-8
ISBN (Print)978-3-030-94398-1
Publication statusPublished - 2022
Event7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021 - Virtual, Online
Duration: 4 Oct 20218 Oct 2021
Conference number: 7

Publication series

NameIFIP Advances in Information and Communication Technology
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X


Conference7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021
Abbreviated titleLOD 2021
CityVirtual, Online


  • Graph model
  • Implementation
  • Knowledge management
  • PLM
  • Product Lifecycle Management
  • 2023 OA procedure


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