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Ordering behavior in retail stores and implications for automated replenishment / Karel H. van Donselaar in Management science, Vol. 56 N° 5 (Mai 2010) 

Public ISBD [article]  in Management science > Vol. 56 N° 5 (Mai 2010) . - pp. 766-784 Titre : Ordering behavior in retail stores and implications for automated replenishment Type de document : texte imprimé Auteurs : Karel H. van Donselaar, Auteur ; Vishal Gaur, Auteur ; Tom van Woensel, Auteur Année de publication : 2010 Article en page(s) : pp. 766-784 Note générale : Management Langues : Anglais (eng) Mots-clés : Retail  operations  Inventory  management  Behavioral  operations Index. décimale : 658 Organisation des entreprises. Techniques du commerce Résumé : Retail store managers may not follow order advices generated by an automated inventory replenishment system if their incentives differ from the cost-minimization objective of the system or if they perceive the system to be suboptimal. We study the ordering behavior of retail store managers in a supermarket chain to characterize such deviations in ordering behavior, investigate their potential drivers, and thereby devise a method to improve automated replenishment systems. Using orders, shipments, and point-of-sale data for 19,417 item–store combinations over five stores, we show that (i) store managers consistently modify automated order advices by advancing orders from peak to nonpeak days, and (ii) this behavior is explained significantly by product characteristics such as case pack size relative to average demand per item, net shelf space, product variety, demand uncertainty, and seasonality error. Our regression results suggest that store managers improve upon the automated replenishment system by incorporating two ignored factors: in-store handling costs and sales improvement potential through better in-stock. Based on these results, we construct a method to modify automated order advices by learning from the behavior of store managers. Motivated by the management coefficients theory, our method is efficient to implement and outperforms store managers by achieving a more balanced handling workload with similar average days of inventory. DEWEY : 658 ISSN : 0025-1909 En ligne : http://mansci.journal.informs.org/content/56/5.toc [article] Ordering behavior in retail stores and implications for automated replenishment [texte imprimé] / Karel H. van Donselaar, Auteur ; Vishal Gaur, Auteur ; Tom van Woensel, Auteur . - 2010 . - pp. 766-784. Management Langues : Anglais (eng) in Management science > Vol. 56 N° 5 (Mai 2010) . - pp. 766-784 Mots-clés : Retail  operations  Inventory  management  Behavioral  operations Index. décimale : 658 Organisation des entreprises. Techniques du commerce Résumé : Retail store managers may not follow order advices generated by an automated inventory replenishment system if their incentives differ from the cost-minimization objective of the system or if they perceive the system to be suboptimal. We study the ordering behavior of retail store managers in a supermarket chain to characterize such deviations in ordering behavior, investigate their potential drivers, and thereby devise a method to improve automated replenishment systems. Using orders, shipments, and point-of-sale data for 19,417 item–store combinations over five stores, we show that (i) store managers consistently modify automated order advices by advancing orders from peak to nonpeak days, and (ii) this behavior is explained significantly by product characteristics such as case pack size relative to average demand per item, net shelf space, product variety, demand uncertainty, and seasonality error. Our regression results suggest that store managers improve upon the automated replenishment system by incorporating two ignored factors: in-store handling costs and sales improvement potential through better in-stock. Based on these results, we construct a method to modify automated order advices by learning from the behavior of store managers. Motivated by the management coefficients theory, our method is efficient to implement and outperforms store managers by achieving a more balanced handling workload with similar average days of inventory. DEWEY : 658 ISSN : 0025-1909 En ligne : http://mansci.journal.informs.org/content/56/5.toc