000057112 001__ 57112
000057112 005__ 20200221144250.0
000057112 0247_ $$2doi$$a10.1111/vox.12377
000057112 0248_ $$2sideral$$a95329
000057112 037__ $$aART-2016-95329
000057112 041__ $$aeng
000057112 100__ $$aPérez Vaquero, M.A.
000057112 245__ $$aOptimization of the management of platelet concentrate stocks in the Basque Country using mathematical simulation
000057112 260__ $$c2016
000057112 5060_ $$aAccess copy available to the general public$$fUnrestricted
000057112 5203_ $$aBackground and Objectives: The management of platelet concentrate (PC) stocks is not simple given their short shelf life and variable demand. In general, managers decide on PC production based on personal experience. The objective of this study was to provide a tool to help decide how many PC units to produce each day in a more rational and objective way. Materials and Methods: From the historical data on PCs produced, transfused and discarded in the Basque Country in 2012, a mathematical model was built, based on the normality of the time series of the transfusions performed on each day of the week throughout the year. This model was implemented in an easy-to-use Excel spreadsheet and validated using real production data from 2013. Results: Comparing with real 2013 data, in the best scenario, the number of PC units that expired was 87·7% lower, PC production, 14·3% lower and the age of the PCs transfused nearly 1-day younger in the simulation. If we want to ensure a minimum stock at the end of each day, the outdating rate and average age of the transfused PCs progressively increase. Conclusion: The practical application of the designed tool can facilitate decision-making about how many PC units to produce each day, resulting in very significant reductions in PC production and wastage and corresponding cost savings, together with an almost 1 day decrease in the mean age of PCs transfused.
000057112 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/MTM2013-40842-P
000057112 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000057112 590__ $$a2.192$$b2016
000057112 591__ $$aHEMATOLOGY$$b41 / 70 = 0.586$$c2016$$dQ3$$eT2
000057112 592__ $$a0.978$$b2016
000057112 593__ $$aMedicine (miscellaneous)$$c2016$$dQ1
000057112 593__ $$aHematology$$c2016$$dQ2
000057112 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000057112 700__ $$aGorria, C.
000057112 700__ $$aLezaun, M.
000057112 700__ $$0(orcid)0000-0002-7615-2559$$aLópez, F.J.$$uUniversidad de Zaragoza
000057112 700__ $$aMonge, J.
000057112 700__ $$aEguizabal, C.
000057112 700__ $$aVesga, M.A.
000057112 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000057112 773__ $$g110, 4 (2016), 369-375$$pVox sang.$$tVOX SANGUINIS$$x0042-9007
000057112 8564_ $$s213927$$uhttps://zaguan.unizar.es/record/57112/files/texto_completo.pdf$$yVersión publicada
000057112 8564_ $$s107285$$uhttps://zaguan.unizar.es/record/57112/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000057112 909CO $$ooai:zaguan.unizar.es:57112$$particulos$$pdriver
000057112 951__ $$a2020-02-21-13:27:21
000057112 980__ $$aARTICLE