id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_kblwcbmnbbepdezi4zkqcjbydy	Fernando Rojas	Managing slow-moving item: a zero-inflated truncated normal approach for modeling demand	2020	22	.pdf	application/pdf	8589	1197	64	This paper proposes a slow-moving management method for a system using of intermittent demand per unit time and lead time demand of items in service enterprise inventory We confirmed that the parameter of variability of the zeroinflated truncated normal statistical distribution used to model intermittent demand Keywords Demand during lead time, Inventory models, Zero-inflated truncated normal intermittent DPUT forecasting with non-zero values and the LTD by means of a zeroinflated truncated normal sum (ZITNOsum). 1: Generate a random sample of intermittent DPUTs of ZITNO statistical distribution To model the intermittent DPUT we used the statistical distributions in Table 1, and to Effect of variability and intermittent DPUT with ZITNO statistical distribution on total costs and Q and r decisions our proposed statistical distribution ZITNO DPUT model. Table 7 Parameters of the proposed statistical distribution to model DPUT and LTD and its competitors. Proposed statistical distribution inventory model performance. proposed statistical distributions for the DPUT/LTD modeling.	./cache/work_kblwcbmnbbepdezi4zkqcjbydy.pdf	./txt/work_kblwcbmnbbepdezi4zkqcjbydy.txt