Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)

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Order Batching Optimization Model Considering Batch Quantity and Product Suitability

Authors
Qichuan Li1, Haiming Liang1, *
1Business School, Sichuan University, Chengdu, China
*Corresponding author. Email: hmliang@scu.edu.cn
Corresponding Author
Haiming Liang
Available Online 15 December 2022.
DOI
10.2991/978-94-6463-038-1_35How to use a DOI?
Keywords
order batching; product suitability; number of batches; multi-objective optimization; genetic algorithm
Abstract

With respect to the order-batching problem in online supermarkets, this paper proposes a multi-objective optimization-based method. First, the basic assumptions and notations of the order batching optimization problem are described. Then, with the consideration of goods-batch, order-batch, weight limit, and volume limit, a multi-objective optimization model for order batching optimization is built with the objectives of maximizing the fitness degrees among different goods in the same batch and minimizing the number of order batches. Furthermore, based on the property of the built model, an improved genetic algorithm is designed. Finally, a numerical example in the context of “one order, multiple products” in an online supermarket is given to illustrate the feasibility of the proposed order batching optimization method. Meanwhile, to illustrate the effectiveness of the proposed order batching optimization method, the proposed order batching optimization method is compared with the existing order batching methods. The comparison results show that the proposed order batching method can significantly improve the suitability of the same batch of products with a better batch quantity.

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 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)
Series
Atlantis Highlights in Engineering
Publication Date
15 December 2022
ISBN
978-94-6463-038-1
ISSN
2589-4943
DOI
10.2991/978-94-6463-038-1_35How 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  - Qichuan Li
AU  - Haiming Liang
PY  - 2022
DA  - 2022/12/15
TI  - Order Batching Optimization Model Considering Batch Quantity and Product Suitability
BT  - Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)
PB  - Atlantis Press
SP  - 382
EP  - 392
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-038-1_35
DO  - 10.2991/978-94-6463-038-1_35
ID  - Li2022
ER  -