Feasibility Study of Intelligent Cafeteria Peak Efficiency Management

DOI

10.2991/978-94-6463-108-1_28How to use a DOI?

Keywords

Cafeteria; Big data; intelligence; efficiency; process optimization

Abstract

Based on a college cafeteria queue, the operational process of the cafeteria queue and its causes of inefficiency are analyzed. To address this problem, an actionable optimization scheme is proposed to build an intelligent Internet platform to cope with the slow pace of cafeteria dining during peak hours and the lack of effective communication methods between the two parties. The analytical ideas and solutions in this paper are operable and repeatable for the intelligent construction of university canteens.

Copyright

© 2022 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yimeng Li
AU  - Tianyu Han
AU  - Lianwu Yu
AU  - Jingjing Liu
PY  - 2022
DA  - 2022/12/30
TI  - Feasibility Study of Intelligent Cafeteria Peak Efficiency Management
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 244
EP  - 251
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_28
DO  - 10.2991/978-94-6463-108-1_28
ID  - Li2022
ER  -