Please use this identifier to cite or link to this item:
Title: ALBO : an assembly line balance optimization model using ant colony optimization
Authors: Lai, LKC
Liu, JNK
Keywords: Ant Colony Optimization
Efficiency and Assembly Line Balance
Issue Date: 2009
Publisher: IEEE
Source: Fifth International Conference on Natural Computation, 2009 : ICNC '09, 14-16 August 2009, Tianjin, p. 8-12 How to cite?
Abstract: In this paper an assembly line balance optimization model (ALBO) is proposed to solve the assembly line balance problem (ALB). It is a typical combinational optimization problem where pieces of work are transported between the work stations. In the ALB problem, the ultimate goal is to seek the optimal make span. ALB is currently dependent on human experts. We employed an evolutionary algorithm based on ant colony optimization technique. The efficiency records of three handbag styles having been running in the production lines for 2 months are used to test the ALBO model. It shows that the model can increase the efficiency by almost 13.88%. This is a great improvement as the efficiency of the actual production process is on average 15% below the current standard which could means millions of dollar in profitability.
ISBN: 978-0-7695-3736-8
DOI: 10.1109/ICNC.2009.693
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Feb 14, 2019

Page view(s)

Last Week
Last month
Citations as of Feb 18, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.