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題名 Group-level information decay and inventory inspection: An empirical-analytical approach
作者 莊皓鈞
Chuang, Howard Hao-Chun
Oliva, Rogelio;Kumar, Subodha
貢獻者 資管系
關鍵詞 cycle counting; group inspection policy; information decay; inventory record inaccuracy; multi-methodological research; retail operations; survival analysis
日期 2022-03
上傳時間 21-九月-2022 11:55:03 (UTC+8)
摘要 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.
關聯 Journal of Operations Management, Vol.68, No.2, pp.130-152
資料類型 article
DOI https://doi.org/10.1002/joom.1167
dc.contributor 資管系
dc.creator (作者) 莊皓鈞
dc.creator (作者) Chuang, Howard Hao-Chun
dc.creator (作者) Oliva, Rogelio;Kumar, Subodha
dc.date (日期) 2022-03
dc.date.accessioned 21-九月-2022 11:55:03 (UTC+8)-
dc.date.available 21-九月-2022 11:55:03 (UTC+8)-
dc.date.issued (上傳時間) 21-九月-2022 11:55:03 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/142039-
dc.description.abstract (摘要) 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.
dc.format.extent 97 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Journal of Operations Management, Vol.68, No.2, pp.130-152
dc.subject (關鍵詞) cycle counting; group inspection policy; information decay; inventory record inaccuracy; multi-methodological research; retail operations; survival analysis
dc.title (題名) Group-level information decay and inventory inspection: An empirical-analytical approach
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1002/joom.1167
dc.doi.uri (DOI) https://doi.org/10.1002/joom.1167