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The evolution of production systems from Industry 2.0 through Industry 4.0

Yin, Yong, Stecke, Kathryn E., Li, Dongni·2018·International Journal of Production Research

Abstract

This paper discusses production systems with a focus on the relationships between product supply and customer demand in the context of Industry 2.0–4.0. One driver of production evolution is changes in customer demand over time, which is categorised into several dimensions. Major production systems – flow line, Toyota production system (TPS), job shop, cell, flexible manufacturing system and seru – have been developed and applied to supplies to match different demand dimensions over time. For each production system, two questions are addressed: what and how. Comparisons between seru with TPS and cell are given. The possibilities of a future smart factory equipped with internet of things are discussed. The demand dimensions of Industry 4.0, the product architecture change in the automobile industry and the impact of 3D printing are elaborated. Potential applications of lean and seru principles for Industry 4.0 are presented.

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Metadata

Authors
Yin, Y., Stecke, K. E., & Li, D.
Venue
International Journal of Production Research
Published
2017-11-24
Volume
56
Issue
1-2
Pages
848-861
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
OpenAlex
W2768739795
Cited by
704
References
2
FWCI
52.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The evolution of production systems from Industry 2.0 through Industry 4.0. https://app.cochat.ai/papers/10.1080/00207543.2017.1403664
The paper
Yin, Y., Stecke, K. E., & Li, D. (2018). The evolution of production systems from Industry 2.0 through Industry 4.0. International Journal of Production Research. https://doi.org/10.1080/00207543.2017.1403664

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.