Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
---|---|---|
Article Number | 03010 | |
Number of page(s) | 17 | |
Section | Data Science | |
DOI | https://doi.org/10.1051/e3sconf/202340903010 | |
Published online | 01 August 2023 |
A Study of Two-level Inventory Allocation for E-commerce Pre-sales Based on Two Return Methods
1 Business School, Sichuan University, Chengdu 610065, People’s Republic of China
2 CCECC Pakistan Branch, Islamabad 44000, Pakistan
* e-mail: liangxuedong@scu.edu.cn
In recent years, e-commerce shopping festivals based on the presale model have become increasingly popular. Under the pre-sale model, some e-commerce companies have used inventory front-loading methods to give consumers higher time satisfaction for alleviating the pressure caused by order piling. At the same time a new return method has been generated, but existing studies have only considered the traditional return method. In this paper, a dualobjective decision model based on NSGA-II algorithm is developed for maximizing enterprise profit and maximizing consumer time satisfaction under the premise of considering both return methods, and the optimal two-level inventory allocation decision scheme is calculated for e-commerce enterprises. The results show that the existence of two return methods will have a more significant impact on enterprise profit, and therefore is more practical for e-commerce enterprises to make two-level inventory allocation decisions.
Key words: Ecommerce pre-sale / Returns / Inventory front-loading / Inventory control / Twolevel inventory configuration
© The Authors, published by EDP Sciences, 2023
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