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Cited by 365

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Smart Packaging: Opportunities and Challenges

Open access
Schaefer, Dirk, Cheung, Wai M.·2018·Procedia CIRP

Abstract

The global market for smart packaging is expected to reach $26.7bn by 2024. Smart packaging refers to packaging systems with embedded sensor technology used with foods, pharmaceuticals, and many other types of products. It is used to extend shelf life, monitor freshness, display information on quality, and improve product and customer safety. In addition, smart packaging offers new business opportunities based on digitization and thus fits into the broader realm of Industry 4.0. In this paper, the authors provide an introductory overview of smart packaging and discuss its underlying base technologies. This is followed by a presentation of potential benefits and emerging opportunities in the packaging sector, contrasted by a number of challenges that first have to be overcome for smart packaging to reach its full potential. Finally, conclusions are drawn and an outlook towards the future, critical research areas to work in, and potential lessons to be learned from associated areas are presented.

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Crossref · 10.1016/j.procir.2018.03.240

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Metadata

Authors
Schaefer, D., & Cheung, W. M.
Venue
Procedia CIRP
Publisher
Elsevier BV
Published
2018
Volume
72
Pages
1022-1027
ISSN
2212-8271 (ISSN-L)
OpenAlex
W2810248371
Cited by
365
References
27
FWCI
17.68
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Smart Packaging: Opportunities and Challenges. https://app.cochat.ai/papers/10.1016/j.procir.2018.03.240
The paper
Schaefer, D., & Cheung, W. M. (2018). Smart Packaging: Opportunities and Challenges. Procedia CIRP. https://doi.org/10.1016/j.procir.2018.03.240

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.