Demand Engineering in Mass Customization Using Data-Driven Approach

Rui Xu (), Shuhui Qu (), Ying Liu () and Jie Wang ()
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Rui Xu: Stanford University
Shuhui Qu: Stanford University
Ying Liu: University of Chinese Academy of Sciences
Jie Wang: Stanford University

A chapter in Customization 4.0, 2018, pp 75-86 from Springer

Abstract: 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.

Keywords: Demand engineering; Industry 4.0; Mass customization; Process framework; Mismatching; Requirements; Smart factory (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-77556-2_5

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DOI: 10.1007/978-3-319-77556-2_5

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