id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-217663-3g2j9tnk	Li, Na	A decision integration strategy for short-term demand forecasting and ordering for red blood cell components	2020-08-17		.txt	text/plain	7933	463	54	We combine ideas from statistical time series modeling, machine learning, and operations research in developing an ordering decision strategy for RBCs, through integrating a hybrid demand forecasting model using clinical predictors and a data-driven multi-period inventory problem considering inventory and reorder constraints. The proposed integrated methodology achieves three goals: i) a more accurate forecasting method that reflects the actual RBC demand at hospital blood banks, which increases the transparency between CBS and hospital blood banks; ii) a leaner and fresher inventory at hospital blood banks, which may correlate with better patient outcomes; iii) a simpler ordering strategy that requires less frequent orders on scheduled 2 Throughout this paper, the terms "wastage" and "waste" are all referring to the blood products wasted due to expiration. Mean (sd) of days of inventory on hand (DOH), age (days) of blood prior to transfusion, and daily number of units in-stock, as well as wastage rate by year in Hamilton hospital blood banks Challenge 2: Large variation of the differences between ordered quantity and actual demand.	./cache/cord-217663-3g2j9tnk.txt	./txt/cord-217663-3g2j9tnk.txt