E3S Web of Conferences (Jan 2023)

A Study of Two-level Inventory Allocation for E-commerce Pre-sales Based on Two Return Methods

  • Du Chenxu,
  • Deng Fumin,
  • Wang Chaozhu,
  • Luo Peng,
  • Liang Xuedong

DOI
https://doi.org/10.1051/e3sconf/202340903010
Journal volume & issue
Vol. 409
p. 03010

Abstract

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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.

Keywords