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Demand Engineering in Mass Customization Using Data-Driven Approach

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Customization 4.0

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Abstract

This paper proposes a general process framework of demand engineering as a significant platform of connecting requirements specification as one side and smart factory as the other, which can be applied to all industries. Our framework performs a sequential methodology to solve existing and prospective mismatching problems between two sides. This mismatching misperceives requirements of the market and simultaneously induces huge waste of manufacturing resources, thus severely hampering the industry transformation into Industry 4.0. Affected by the diversity of industries, the requirements to what degree of transformation also varies. Therefore, different industries must clarify their demand for demand engineering.

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Author information

Authors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Rui Xu, Shuhui Qu & Jie Wang

  2. University of Chinese Academy of Sciences, Beijing, China

    Ying Liu

Authors
  1. Rui Xu
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  2. Shuhui Qu
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  3. Ying Liu
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  4. Jie Wang
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Corresponding author

Correspondence to Rui Xu .

Editor information

Editors and Affiliations

  1. RWTH Aachen University, Aachen, Nordrhein-Westfalen, Germany

    Stephan Hankammer

  2. Aalborg University, Aalborg, Denmark

    Kjeld Nielsen

  3. RWTH Aachen University, Aachen, Nordrhein-Westfalen, Germany

    Frank T. Piller

  4. RWTH Aachen University, Aachen, Nordrhein-Westfalen, Germany

    Günther Schuh

  5. RWTH Aachen University, Aachen, Nordrhein-Westfalen, Germany

    Ning Wang

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Cite this paper

Xu, R., Qu, S., Liu, Y., Wang, J. (2018). Demand Engineering in Mass Customization Using Data-Driven Approach. In: Hankammer, S., Nielsen, K., Piller, F., Schuh, G., Wang, N. (eds) Customization 4.0. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-77556-2_5

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