Re-Distributed Manufacturing and the Impact of Big Data: A Consumer Goods PerspectiveCitation formats
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Re-Distributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective. / Zaki, Mohamed; Theodoulidis, Babis; Shapira, Philip; Neely, Andy; Tepel, Matthias Friedrich .
In: Production Planning & Control, 15.05.2019.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Re-Distributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective
AU - Zaki, Mohamed
AU - Theodoulidis, Babis
AU - Shapira, Philip
AU - Neely, Andy
AU - Tepel, Matthias Friedrich
PY - 2019/5/15
Y1 - 2019/5/15
N2 - Digitalisation and the growth of big data promises more distributed and customised manufacturing. Yet, challenges arise in applying these new technologies in consumer goods industries that often emphasise mass production and extended supply chains. We build a conceptual framework to explore whether big data combined with new manufacturing technologies can facilitate redistributed manufacturing. Through analysis of 24 consumer goods industry cases using primary and secondary data, we investigate evolving manufacturing configurations, their underlying drivers, the role of big data applications, and their impact on the redistribution of manufacturing. We find some applications of redistributed manufacturing concepts, although in other cases existing manufacturing configurations are leveraged for high volume consumer goods products through big data analytics and market segmentation. The analysis indicates that the framework put forward in the paper has broader value in organising thinking about emerging interrelationships between big data and manufacturing.
AB - Digitalisation and the growth of big data promises more distributed and customised manufacturing. Yet, challenges arise in applying these new technologies in consumer goods industries that often emphasise mass production and extended supply chains. We build a conceptual framework to explore whether big data combined with new manufacturing technologies can facilitate redistributed manufacturing. Through analysis of 24 consumer goods industry cases using primary and secondary data, we investigate evolving manufacturing configurations, their underlying drivers, the role of big data applications, and their impact on the redistribution of manufacturing. We find some applications of redistributed manufacturing concepts, although in other cases existing manufacturing configurations are leveraged for high volume consumer goods products through big data analytics and market segmentation. The analysis indicates that the framework put forward in the paper has broader value in organising thinking about emerging interrelationships between big data and manufacturing.
KW - redistributed manufacturing
KW - big data
KW - digital manufacturing
KW - personalisation
KW - customisation
KW - digital factory
U2 - 10.1080/09537287.2018.1540068
DO - 10.1080/09537287.2018.1540068
M3 - Article
JO - Production Planning and Control
JF - Production Planning and Control
SN - 0953-7287
ER -