Redistributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective
View / Open Files
Publication Date
2019-05-19Journal Title
Production Planning and Control
ISSN
0953-7287
Publisher
Taylor & Francis
Volume
30
Issue
7
Pages
568-581
Language
English
Type
Article
This Version
Vor
Metadata
Show full item recordCitation
Zaki, M., Theodoulidis, B., Shapira, P., Neely, A., & Tepel, M. (2019). Redistributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective. Production Planning and Control, 30 (7), 568-581. https://doi.org/10.1080/09537287.2018.1540068
Abstract
Digitalisation and the growth of big data promise greater customisation as well as change in how manufacturing is distributed. Yet, challenges arise in applying these new approaches 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.
Keywords
redistributed manufacturing, big data, digital manufacturing, personalisation, customisation, digital factory
Sponsorship
The work was supported by the Engineering and Physical Sciences Research Council (EPSRC) and the Economic and Social Research Council (ESRC) through The Network in Consumer Goods, Big Data and Re-Distributed Manufacturing (RECODE) hosted at Cranfield University under grant number EP/M017567/1.
Identifiers
External DOI: https://doi.org/10.1080/09537287.2018.1540068
This record's URL: https://www.repository.cam.ac.uk/handle/1810/267860
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.