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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/142039

Title:	Group-level information decay and inventory inspection: An empirical-analytical approach
Authors:	莊皓鈞 Chuang, Howard Hao-Chun Oliva, Rogelio;Kumar, Subodha
Contributors:	資管系
Keywords:	cycle counting;group inspection policy;information decay;inventory record inaccuracy;multi-methodological research;retail operations;survival analysis
Date:	2022-03
Issue Date:	2022-09-21 11:55:03 (UTC+8)
Abstract:	Despite numerous optimization techniques proposed to address inventory record inaccuracy (IRI), there continues to be a lack of empirical appreciation of IRI, nor do existing item-level inspection policies accommodate managerial needs for allocating inspection effort to groups of items. We address these issues by collaborating with a retailer to collect archival data and develop statistical estimation and practical optimization techniques that address IRI. We propose a continuous-time model to explain group-level information decay and, based on the model`s structure, develop an inspection policy that satisfies managerial needs for allocating inspection effort to a group of items. After analyzing model behavior and quantifying unobservable cost factors using information readily available, we test the efficacy of the proposed policy within the retailing environment and find it to outperform both the retailer`s inspection routines and a well-established industry benchmark. Finally, we illustrate how to optimize grouping and inspection decisions jointly and show potential benefits from optimized group formation. Our empirically grounded modeling effort yields transferable methods and generalizable insights for improving inventory integrity.
Relation:	Journal of Operations Management, Vol.68, No.2, pp.130-152
Data Type:	article
DOI 連結:	https://doi.org/10.1002/joom.1167
DOI:	10.1002/joom.1167
Appears in Collections:	[資訊管理學系] 期刊論文

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