Title :
Short term replenishment method for short lifecycle goods
Author :
Goto, H. ; Tanaka, M. ; Kasahara, M.
Author_Institution :
Dept. of Manage. & Inf. Syst. Sci., Nagaoka Univ. of Technol., Nagaoka
Abstract :
This paper proposes a replenishment method suitable for short lifecycle products whose demand is strongly dependent on day of the week. Regarding application industries, we focus on retailers such as $1 stores or convenience stores, most of which have small spaces for display but the number of items is significantly large. The proposed method is advantageous since it can also be applicable for newly introduced products.
Keywords :
demand forecasting; finished goods inventory; regression analysis; retailing; stock control; demand prediction; inventory control; linear regression model; short lifecycle goods; short term replenishment method; Engineering management; Information management; Inventory control; Inventory management; Linear regression; Management information systems; Marketing and sales; Parameter estimation; Predictive models; Technology management; Short lifecycle; demand prediction; dependency on day of the week; inventory control; linear regression model;
Conference_Titel :
Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-2329-3
Electronic_ISBN :
978-1-4244-2330-9
DOI :
10.1109/ICMIT.2008.4654520
