Early Access

Towards sporadic demand stock management based on simulation with single reorder point estimation

Katerina Huskova, Petra Kasparova, Jakub Dyntar

The goal of this paper is to decide whether bootstrapping and/or linear regression are suitable to estimate an initial reorder point in sporadic demand stock management based on past stock movement simulation (PSMS) in combination with neighborhood search-oriented optimization. Thus, we randomly generate demand data including 20–80% zero demand periods and simulate continuous review, fixed order quantity inventory control policy (R, Q) for 4 different arrangements of PSMS combined with local…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-002 more

Charting the path to consumer satisfaction: An innovative investigation into fresh e-commerce through text mining and spatiotemporal analysis

Yixing Yang, Lili Wei, Liangxian Fan, Qiuhan Zhao

The rapid expansion of fresh food e-commerce introduces significant challenges in logistics service quality due to the perishability of products. However, the effects of these challenges on customer satisfaction, particularly across different regions and seasons, have been insufficiently explored. This study addresses this gap by analyzing Jingdong (JD)’s e-commerce reviews using latent dirichlet allocation (LDA) topic models to extract dimensions of logistics service quality, combined with…

DOI (& full text): doi.org/10.15240/tul/001/2025-5-006 more