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Integrating sales and design: Applying CAD configurators in the product development process
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7098-4215
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
2020 (English)In: Proceedings of the Design Society: DESIGN Conference, Cambridge University Press, 2020, Vol. 1, p. 345-354Conference paper, Published paper (Refereed)
Abstract [en]

With industries striving towards increased customisation of complex products through engineer-to-order, methods are continuously sought to rationalise the product development process. To this end, a framework is proposed using CAD configurators, utilising design automation and knowledge-based engineering to integrate sales and design processes in product development. The application of this framework to the design of spiral staircases is described and analysed, with results showing decreased lead-times and a decreased risk for design errors.

Place, publisher, year, edition, pages
Cambridge University Press, 2020. Vol. 1, p. 345-354
Series
Proceedings of the Design Society: DESIGN Conference, ISSN 2633-7762 ; 1
Keywords [en]
Computer-aided design (CAD), Design automation, Knowledge-based engineering (KBE), Product configuration, Mass customisation
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:liu:diva-176082DOI: 10.1017/dsd.2020.129OAI: oai:DiVA.org:liu-176082DiVA, id: diva2:1560572
Conference
16th International Design Conference, Online, October 26-29 2020
Available from: 2021-06-04 Created: 2021-06-04 Last updated: 2022-03-04Bibliographically approved
In thesis
1. Optimization-Based Configurators in the Product Development Process
Open this publication in new window or tab >>Optimization-Based Configurators in the Product Development Process
2021 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Requirements from the market on customer responsiveness and pressure on the environmental profiles of companies, both internally and externally, are challenging companies to amend their processes in all possible aspects in order to stay competitive. For product development companies, the challenges often lie in developing and delivering products rapidly, customized and meeting the set requirements. For highly customized products, mass customization is a term describing a company setting in which products meet each customer’s individual requirements but are still produced and delivered at near mass-production efficiency. The concept of mass customization is becoming a prerequisite for the survival of companies within this niche. For more complex engineering products, the complexity increases as new technology is introduced, which needs to be integrated to increase the product’s performance at a rapid pace. Also for complex products, the level of customization is increasing, which motivates the support of tools enabling an increase in customization.

In both mass customized and complex products, the obstacles to overcome are the repetitive resource inefficient work, knowledge capture and reuse, uncoordinated processes, and a high number of iterations between departments within the company. This often boils down to the well-established so-called design paradox describing the lack of knowledge about a product and process in the early stages of design, where the design freedom is still high. As knowledge increases throughout the process, the design freedom in contrast shrinks, and the costs of changes increase exponentially. Design automation, design optimization and the use of configurators are all methods used to reduce repetitive work, increase and capture knowledge, and integrate the product development process.

This thesis presents how configurators based on optimization can be used and integrated into the product development process of engineering intensive configurable products and components, such as engineer-to-order (ETO) products. Design automation and design optimization have been identified as key building blocks to extend the use of configurators. This has been done in two different application cases within two different research projects, to evaluate how these configurator systems may be modeled and utilized. The first application case concerns the automation of hose routing in vehicles and the second application case concerns spiral staircases intended for mass customization.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2021. p. 44
Series
Linköping Studies in Science and Technology. Licentiate Thesis, ISSN 0280-7971 ; 1914
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:liu:diva-176088 (URN)10.3384/lic.diva-176088 (DOI)9789179296117 (ISBN)
Presentation
2021-06-17, Online through Zoom (contact camilla.wehlin@liu.se), 10:15 (English)
Opponent
Supervisors
Available from: 2021-06-04 Created: 2021-06-04 Last updated: 2021-06-14Bibliographically approved
2. On Configuration Systems in Product Development for Mass Customisation
Open this publication in new window or tab >>On Configuration Systems in Product Development for Mass Customisation
2021 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Increased industrial interest in mass customisation causes designers and manufacturers to seek cost-effective methods to continuously rationalise product development and production processes in order to accommodate for customisation on a large scale. Particularly in the case of complex products this requires significant engineering efforts. 

Mass customisation in an engineer-to-order context includes customers in early stages of product development, providing designers and manufacturers with certainty in decision making. A large portion of design tasks associated with design and production preparation stages during the product development process are routine-like and repetitive, amounting to vast time costs and errors. By utilising knowledge-based design automation techniques, these tasks can be supported to allow for iterative design processes as well as improved integration and communication between development phases. This  work explores how the use of design automation in the form of product configuration systems can facilitate integration throughout the product development process of engineer-to-order products and allow the industry to rise to the challenge of mass customisation.

This licentiate thesis describes the development of a framework incorporating product configuration systems based on High Level CAD templates (HLCt) together with auxiliary design optimisation and production preparation tools. Leveraging on the reuse of product knowledge, it focuses on rapid configuration of light-weight conceptual designs for quotation in dialogue with customers, and support of detailed design and generation of production data for confirmed orders. Based on the findings from implementation of such framework in an SME context of mass customisation of spiral staircases as well as engineering education, the challenges and possibilities are discussed with an eye on the future of design automation for mass customisation.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2021. p. 43
Series
Linköping Studies in Science and Technology. Licentiate Thesis, ISSN 0280-7971 ; 1918
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:liu:diva-181815 (URN)10.3384/9789179291631 (DOI)9789179291624 (ISBN)9789179291631 (ISBN)
Presentation
2021-12-21, ACAS, A Building, Campus Valla, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2021-12-15 Created: 2021-12-15 Last updated: 2021-12-20Bibliographically approved

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Poot, Leon P.Wehlin, CamillaTarkian, MehdiÖlvander, Johan

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