151069 20251017144634.0 doi 10.1016/j.ejor.2022.03.018 sideral 129219 ART-2022-129219 eng Gorria, C. Performance measures of nonstationary inventory models for perishable products under the EWA policy 2022 Access copy available to the general public Unrestricted Accurately estimating key performance indicators in inventory models for perishable items is essential in order to assess and improve the management strategy of these systems. We analyse the production of platelet concentrates at blood banks under the EWA replenishment policy. We give analytical approximations of the most important performance measures, such as the size of orders, the size of stocks, the percentage of outdating, the age distribution of stocks and the freshness of units issued, among others. The production of platelet concentrates is a prototypical example of inventory models for short life items with random demand and a weekly pattern, where a high service level is required. The methodology and the approximations presented here can be easily adapted to other inventory systems with similar characteristics. Most of the formulae in this article are new for nonstationary models under the EWA policy; indeed, formulae for the age distribution of units in stock and of units issued have not appeared in the literature even for the simpler base-stock replenishment policy. We apply our results to a real blood bank and find very close agreement between the formulae and the results of Monte Carlo simulations. The accuracy of our approximations is also tested in several scenarios, depending on the lifetime of units, safety stock levels and the probabilistic distribution of demand. © 2022 The Author(s) info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2020-116873GB-I00 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 6.4 2022 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 13 / 86 = 0.151 2022 Q1 T1 2.371 2022 Computer Science (miscellaneous) 2022 Q1 Industrial and Manufacturing Engineering 2022 Q1 Modeling and Simulation 2022 Q1 Management Science and Operations Research 2022 Q1 Information Systems and Management 2022 Q1 11.2 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Lezaun, M. López, F. J. Universidad de Zaragoza (orcid)0000-0002-7615-2559 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 303, 3 (2022), 1137-1150 Eur. J. oper. res. European Journal of Operational Research 0377-2217 781792 http://zaguan.unizar.es/record/151069/files/texto_completo.pdf Versión publicada 2801320 http://zaguan.unizar.es/record/151069/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:151069 articulos driver 2025-10-17-14:27:59 ARTICLE