An effective genetic algorithm for lot-sizing problem with quantity discount

CHUR > College of Management > Department of Technology Management > Seminar Papers > Item 987654321/30359

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/30359

Title:	An effective genetic algorithm for lot-sizing problem with quantity discount
Authors:	李欣怡 Lee, Amy Hsin-I
Contributors:	科技管理學系 Technology Management
Keywords:	lot-sizing;genetic algorithm lot-sizing;genetic algorithm
Date:	2011
Issue Date:	2014-06-27 00:57:33 (UTC+8)
Abstract:	This paper considers a lot-sizing problem with quantity discount. The objectives are to minimize total costs, where the costs include ordering cost, holding cost and purchase cost, under the requirement that no inventory shortage is allowed in the system This paper considers a lot-sizing problem with quantity discount. The objectives are to minimize total costs, where the costs include ordering cost, holding cost and purchase cost, under the requirement that no inventory shortage is allowed in the system
Appears in Collections:	[Department of Technology Management] Seminar Papers

Files in This Item:

File	Description	Size	Format
s_m530_0474.pdf		28Kb	Adobe PDF	32	View/Open