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Extended CAD-models – State of Practice within Three Companies
Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design. (tim.heikkinen@ju.se)ORCID iD: 0000-0002-9337-791x
Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.ORCID iD: 0000-0003-1162-724x
Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.ORCID iD: 0000-0002-3677-8311
2017 (English)In: IEEM2017, International Conference on Industrial Engineering and Engineering Management, 10-13 December, 2017, Singapore, IEEE, 2017, p. 1089-1093Conference paper, Published paper (Refereed)
Abstract [en]

Product platforms and product family design have been recognized as successful methods to enable masscustomization strategies. However, companies working with products where pre-defined product variants are not feasible require a more generic platform with re-usable components as well as engineering resources. Extended CAD-models is an approach where CAD-models are utilized as carriers of information to support re-usability of both geometric content and engineering activities, decreasing product development lead-time and enabling the definition of a product family within Engineer-To-Order business contexts. The following paper presents the approach in more detail and the results of a multi-case study where three Swedish industrial companies were interviewed. Results show that all companies store information within the CAD-models to support re-usability. Several challenges were expressed such as managing responsibilities and modeling flexible CAD-models. Future trends involve the concept, but to which extent is not clear.

Place, publisher, year, edition, pages
IEEE, 2017. p. 1089-1093
Series
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), ISSN 2157-362X
Keywords [en]
Extended CAD-model, Platform strategy, State of practice
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-38549DOI: 10.1109/IEEM.2017.8290060ISI: 000428267800222Scopus ID: 2-s2.0-85045235592OAI: oai:DiVA.org:hj-38549DiVA, id: diva2:1174474
Conference
IEEM2017, International Conference on Industrial Engineering and Engineering Management, 10-13 December, 2017, Singapore
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2018-09-11Bibliographically approved
In thesis
1. Multidisciplinary design automation: Working with product model extensions
Open this publication in new window or tab >>Multidisciplinary design automation: Working with product model extensions
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Being able to efficiently and effectively provide custom products has been identified as a competitive advantage for manufacturing organizations. Product configuration has been shown to be an effective way of achieving this through a modularization, product platform and product family development approach. A core assumption behind product configuration is that the module variants and their constraints can be explicitly defined as product knowledge in terms of geometry and configuration rules. This is not always the case, however. Many companies require extensive engineering to develop each module variant and cannot afford to do so in order to meet potential customer requirements within a predictable future. Instead, they try to implicitly define the module variants in terms of the process for how they can be realized. In this way they can realize module variants on demand efficiently and effectively when the customer requirements are better defined, and the development can be justified by the increased probability of profiting from the outcome.

Design automation, in its broadest definition, deals with computerized engineering support by effectively and efficiently utilizing pre-planned reusable assets to progress the design process. There have been several successful implementations reported in the literature, but a widespread use is yet to be seen. It deals with the explicit definition of engineering process knowledge, which results in a collection of methods and models that can come in the form of computer scripts, parametric CADmodels, template spreadsheets, etc. These methods and models are developed using various computer tools and maintained within the different disciplines involved, such as geometric modeling, simulation, or manufacturing, and are dependent on each other through the product model. To be able to implement, utilize, and manage design automation systems in or across multiple disciplines, it is important to first understand how the disciplinary methods and models are dependent on each other through the product model and then how these relations should be constructed to support the users without negatively affecting other aspects, such as modeling flexibility, minimum documentation, and software tool independence.

To support the successful implementation and management of design automation systems the work presented here has focused on understanding how some digital product model constituents are, can, and, to some extent, should be extended to concretize relations between methods and models from different tools and disciplines. It has been carried out by interviewing Swedish industrial companies, performing technical reviews, performing literature reviews, and developing prototypes, which has resulted in an increased understanding and the consequent development of a conceptual framework that highlights aspects relating to the choice of extension techniques.

Place, publisher, year, edition, pages
Jönköping: Jönköping University, School of Engineering, 2018. p. 56
Series
JTH Dissertation Series ; 037
National Category
Software Engineering
Identifiers
urn:nbn:se:hj:diva-41191 (URN)978-91-87289-38-5 (ISBN)
Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2018-08-21Bibliographically approved

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Heikkinen, TimJohansson, JoelElgh, Fredrik

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