Preventing waste in food supply networks - a platform architecture for AI-driven forecasting based on heterogeneous big data

Alexandra Birkmaier; A. Imeri; Martin Riester; G. Reiner

doi:10.1016/j.procir.2023.09.063

Preventing waste in food supply networks - a platform architecture for AI-driven forecasting based on heterogeneous big data

Alexandra Birkmaier
, A. Imeri
, Martin Riester
, G. Reiner

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Originalsprache	Englisch
Titel des Sammelwerks	56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa
Herausgeber*innen	Khumbulani Mpofu, Natasha Sacks, Oliver Damm
Verlag	Elsevier BV
Seiten	708-713
DOIs	https://doi.org/10.1016/j.procir.2023.09.063
Publikationsstatus	Veröffentlicht - 2023

Publikationsreihe

Reihe	Procedia CIRP
Band	120
ISSN	2212-8271

Zugriff auf Dokument

10.1016/j.procir.2023.09.063Lizenz: CC BY-NC-ND

Andere Dateien und Links

https://www.scopus.com/pages/publications/85184606046

Universität Zürich - Business Economics Research Seminar
Reiner, G. (Teilnehmer*in)
7 Nov. 2023
Aktivität: Veranstaltung: Teilnahme oder Organisation › Einladung zu Forschungsseminar

Zitat

Birkmaier, A., Imeri, A., Riester, M., & Reiner, G. (2023). Preventing waste in food supply networks - a platform architecture for AI-driven forecasting based on heterogeneous big data. in K. Mpofu, N. Sacks, & O. Damm (Hrsg.), 56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa (S. 708-713). Elsevier BV. https://doi.org/10.1016/j.procir.2023.09.063

Birkmaier, Alexandra ; Imeri, A. ; Riester, Martin et al. / Preventing waste in food supply networks - a platform architecture for AI-driven forecasting based on heterogeneous big data. 56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa. Hrsg. / Khumbulani Mpofu ; Natasha Sacks ; Oliver Damm. Elsevier BV, 2023. S. 708-713 (Procedia CIRP, Band 120).

@inproceedings{8f8b8cdce314473b844bb6c9fb6683da,

title = "Preventing waste in food supply networks - a platform architecture for AI-driven forecasting based on heterogeneous big data",

keywords = "Supply Chain Management, Food waste",

author = "Alexandra Birkmaier and A. Imeri and Martin Riester and G. Reiner",

year = "2023",

doi = "10.1016/j.procir.2023.09.063",

language = "English",

series = "Procedia CIRP",

publisher = "Elsevier BV",

pages = "708--713",

editor = "Khumbulani Mpofu and Natasha Sacks and Oliver Damm",

booktitle = "56th CIRP Conference on Manufacturing Systems, CIRP CMS {\textquoteleft}23, South Africa",

address = "Netherlands",

}

Birkmaier, A, Imeri, A, Riester, M & Reiner, G 2023, Preventing waste in food supply networks - a platform architecture for AI-driven forecasting based on heterogeneous big data. in K Mpofu, N Sacks & O Damm (Hrsg.), 56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa. Elsevier BV, Procedia CIRP, Bd. 120, S. 708-713. https://doi.org/10.1016/j.procir.2023.09.063

Preventing waste in food supply networks - a platform architecture for AI-driven forecasting based on heterogeneous big data. / Birkmaier, Alexandra; Imeri, A.; Riester, Martin et al.
56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa. Hrsg. / Khumbulani Mpofu; Natasha Sacks; Oliver Damm. Elsevier BV, 2023. S. 708-713 (Procedia CIRP, Band 120).

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - Preventing waste in food supply networks - a platform architecture for AI-driven forecasting based on heterogeneous big data

AU - Birkmaier, Alexandra

AU - Imeri, A.

AU - Riester, Martin

AU - Reiner, G.

PY - 2023

Y1 - 2023

KW - Supply Chain Management

KW - Food waste

UR - https://www.scopus.com/pages/publications/85184606046

U2 - 10.1016/j.procir.2023.09.063

DO - 10.1016/j.procir.2023.09.063

M3 - Contribution to conference proceedings

T3 - Procedia CIRP

SP - 708

EP - 713

BT - 56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa

A2 - Mpofu, Khumbulani

A2 - Sacks, Natasha

A2 - Damm, Oliver

PB - Elsevier BV

ER -

Birkmaier A, Imeri A, Riester M, Reiner G. Preventing waste in food supply networks - a platform architecture for AI-driven forecasting based on heterogeneous big data. in Mpofu K, Sacks N, Damm O, Hrsg., 56th CIRP Conference on Manufacturing Systems, CIRP CMS ‘23, South Africa. Elsevier BV. 2023. S. 708-713. (Procedia CIRP, Band 120). doi: 10.1016/j.procir.2023.09.063

Preventing waste in food supply networks - a platform architecture for AI-driven forecasting based on heterogeneous big data

Publikationsreihe

Zugriff auf Dokument

Andere Dateien und Links

Aktivitäten

Universität Zürich - Business Economics Research Seminar

Zitat