An integrated replenishment model under dynamic demand conditions

CHUR > College of Management > Department of Technology Management > Seminar Papers > Item 987654321/30324

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/30324

Title:	An integrated replenishment model under dynamic demand conditions
Authors:	李欣怡 Lee, Amy Hsin-I
Contributors:	科技管理學系 Technology Management
Keywords:	Lot-sizing: Mixed integer programming: Multi-objective programming: Genetic algorithm (GA): Safety stock. Lot-sizing: Mixed integer programming: Multi-objective programming: Genetic algorithm (GA): Safety stock.
Date:	2012
Issue Date:	2014-06-27 00:55:48 (UTC+8)
Abstract:	This research develops an integrated replenishment model considering supplier selection, procurement lot-sizing, quantity discounts and safety stocks under dynamic demand conditions. The objectives of the model are to minimize total costs, which include This research develops an integrated replenishment model considering supplier selection, procurement lot-sizing, quantity discounts and safety stocks under dynamic demand conditions. The objectives of the model are to minimize total costs, which include
Appears in Collections:	[Department of Technology Management] Seminar Papers

Files in This Item:

File	Description	Size	Format
s_m530_0465.pdf		28Kb	Adobe PDF	46	View/Open