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Capturing and reusing knowledge in engineering change management: A case of automobile development

Author

Listed:
  • Hong Joo Lee

    (Sloan School of Management, Massachusetts Institute of Technology)

  • Hyung Jun Ahn

    (University of Waikato)

  • Jong Woo Kim

    (Hanyang University)

  • Sung Joo Park

    (Korea Advanced Institute of Science and Technology)

Abstract

The development of complex products, such as automobiles, involves engineering changes that frequently require redesigning or altering the products. Although it has been found that efficient management of knowledge and collaboration in engineering changes is crucial for the success of new product development, extant systems for engineering changes focus mainly on storing documents related to the engineering changes or simply automating the approval processes, while the knowledge that is generated from collaboration and decision-making processes may not be captured and managed easily. This consequently limits the use of the systems by the participants in engineering change processes. This paper describes a model for knowledge management and collaboration in engineering change processes, and based on the model, builds a prototype system that demonstrates the model’s strengths. We studied a major Korean automobile company to analyze the automobile industry’s unique requirements regarding engineering changes. We also developed domain ontologies from the case to facilitate knowledge sharing in the design process. For achieving efficient retrieval and reuse of past engineering changes, we used a case-based reasoning (CBR) with a concept-based similarity measure.

Suggested Citation

  • Hong Joo Lee & Hyung Jun Ahn & Jong Woo Kim & Sung Joo Park, 2006. "Capturing and reusing knowledge in engineering change management: A case of automobile development," Information Systems Frontiers, Springer, vol. 8(5), pages 375-394, December.
  • Handle: RePEc:spr:infosf:v:8:y:2006:i:5:d:10.1007_s10796-006-9009-0
    DOI: 10.1007/s10796-006-9009-0
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    References listed on IDEAS

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    Cited by:

    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    2. repec:tkp:ijsrsy:v:2:y:2012:i:2:p:109-130 is not listed on IDEAS
    3. Nikolaus Kangas & Hanna Kropsu-Vehkapera & Harri Haapasalo & Tuomo Kinnunen, 2013. "Empirical Aspects on Defining Product Data for Rapid Productisation," International Journal of Synergy and Research, ToKnowPress, vol. 2(2), pages 109-130.

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