Loading [MathJax]/extensions/tex2jax.js

SENS: Semantic Synthetic Benchmarking Model for Integrated Supply Chain Simulation and Analysis

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

Research Organisations

External Research Organisations

  • Infineon Technologies AG
  • German National Library of Science and Technology (TIB)

Details

Original languageEnglish
Title of host publicationECIS 2022 Proceedings
ISBN (electronic)978-1-958200-02-5
Publication statusPublished - 2022

Cite this

SENS: Semantic Synthetic Benchmarking Model for Integrated Supply Chain Simulation and Analysis. / Ramzy, Nour; Auer, Sören; Ehm, Hans et al.
ECIS 2022 Proceedings. 2022. 1280.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Ramzy N, Auer S, Ehm H, Chamanara J. SENS: Semantic Synthetic Benchmarking Model for Integrated Supply Chain Simulation and Analysis. In ECIS 2022 Proceedings. 2022. 1280 doi: 10.48550/arXiv.2205.06484
Download
@inproceedings{8390b5110c6b484c8f3a160525531c0f,
title = "SENS: Semantic Synthetic Benchmarking Model for Integrated Supply Chain Simulation and Analysis",
author = "Nour Ramzy and S{\"o}ren Auer and Hans Ehm and Javad Chamanara",
note = "Funding Information: This work has received funding from the project CoyPu - Cognitive Economy Intelligence Platform for the Resilience of Economic Ecosystems (grant 01MK21007A) within the program Federal Ministry for Economic Affairs and Climate Action (BMWK) Innovation Competition on Artificial Intelligence.",
year = "2022",
doi = "10.48550/arXiv.2205.06484",
language = "English",
booktitle = "ECIS 2022 Proceedings",

}

Download

TY - GEN

T1 - SENS

T2 - Semantic Synthetic Benchmarking Model for Integrated Supply Chain Simulation and Analysis

AU - Ramzy, Nour

AU - Auer, Sören

AU - Ehm, Hans

AU - Chamanara, Javad

N1 - Funding Information: This work has received funding from the project CoyPu - Cognitive Economy Intelligence Platform for the Resilience of Economic Ecosystems (grant 01MK21007A) within the program Federal Ministry for Economic Affairs and Climate Action (BMWK) Innovation Competition on Artificial Intelligence.

PY - 2022

Y1 - 2022

U2 - 10.48550/arXiv.2205.06484

DO - 10.48550/arXiv.2205.06484

M3 - Conference contribution

BT - ECIS 2022 Proceedings

ER -

By the same author(s)