Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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Research on order scheduling based on improved artificial bee colony algorithm

Authors
Xinghua Li1, Haozhe Wang1, *, Xiaoqing She1, Huimin Zhang1
1College of Energy and Mining Engineering, Shandong University of Science and Technology, 266000, Qingdao, Shandong, China
*Corresponding author. Email: 1242352290@qq.com
Corresponding Author
Haozhe Wang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_116How to use a DOI?
Keywords
order scheduling; optimization; improved artificial bee colony algorithm; production by order
Abstract

In the face of market changes, shortening the cycle and on-time delivery have become the necessary conditions for manufacturing enterprises to win customer orders. Status of order according to the manufacturing enterprise production scheduling based on improved artificial swarm algorithm, in which the minimum cost of production, the objective function is minimum completion time, constraints on capacity, inventory ability, build orders for production scheduling model by using the before and after the improvement of artificial swarm algorithm to build the order of production scheduling model simulation, combined with the actual production status of the company. Through the analysis of the optimization results, the real effectiveness of the improved artificial bee colony algorithm for solving the order scheduling model is verified, which provides a reference for manufacturing companies to carry out the order scheduling optimization event.

Copyright
© 2023 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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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_116How to use a DOI?
Copyright
© 2023 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.

Cite this article

risenwbib
TY  - CONF
AU  - Xinghua Li
AU  - Haozhe Wang
AU  - Xiaoqing She
AU  - Huimin Zhang
PY  - 2022
DA  - 2022/12/29
TI  - Research on order scheduling based on improved artificial bee colony algorithm
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1123
EP  - 1132
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_116
DO  - 10.2991/978-94-6463-102-9_116
ID  - Li2022
ER  -