Inventory models subject to inaccuracies under the e-retailing context
type: Dataset
description: The aim of this PhD research is to study the impact of the inventory inaccuracy issue on replenishment policies under the wholesaling / e-retailing context. The inventory inaccuracy is defined as a discrepancy between the quantity shown by the Informational System and the quantity actually Physically available for sales. Such discrepancy has as root many sources of errors such as execution, transaction, misplacement, supply unreliability or shrinkage errors. We provide empirical evidence on the wide presence of inventory inaccuracies through one case study of wholesaling organizations. In e-retailing context customers’ demands are remotely satisfied based on the inventory level shown in the information system. The main interest of the research community was about studying the inaccuracy under the retail context. After motivating our research empirically and by the literature review, we develop three inventory frameworks subject to inventory inaccuracies under the wholesaling / e-retailing context with different configurations of the stochastic errors describing the inaccuracy issue. The error configuration could be additive for some sources of inaccuracies such as transaction as well as multiplicative (also known as stochastically proportional) for other sources such as shrinkage. Our first inventory framework aims to extend single-period (Newsvendor) model to the e-retailing/wholesaling context subject to inaccuracy. In Addition, to providing managerial insights, we compare the behavior of the optimal ordering strategies under the additive and the multiplicative error settings. Our second inventory framework is an extension of the former to the case of two selling periods. By solving exactly the two-period problem, we show that the behavior of the optimal ordering quantities is not monotonic, and conclude that a myopic policy could not be optimal. Thanks to a numerical study, we derive some interesting managerial insights about the management of the error risk betw…
identifier: NNT: 2013ISAL0096
issued: 2026-05-05T10:29:15.048100
language: fr
modified: 2026-05-05T10:29:15.048107
contact point: Organization
  fn: CCSD
keyword: chaine-logistique
keyword: disruption
keyword: e-detaillant
keyword: e-retailer
keyword: engineering
keyword: genie-industriel
keyword: gestion-des-stocks
keyword: infoeu-reposemanticsdoctoralthesis
keyword: inventory-management
keyword: perturbation
keyword: politique-de-reapprovisionnement
keyword: replenishment-policy
keyword: shsgestionhumanities-and-social-sciencesbusiness-administration
keyword: supply-chain
keyword: theses
landing page: https://theses.hal.science/tel-00995098

Inventory models subject to inaccuracies under the e-retailing context
type: Distribution
format: HTML
issued: 2026-05-05T10:29:15.062861
modified: 2026-05-05T10:29:15.021851
access URL: https://theses.hal.science/tel-00995098

test_moissonnage_selune
type: Agent