New Zealand Journal of Agricultural Research, abstracts
Improved two-grade delayed particle swarm optimisation (TGDPSO) for
inventory facility location for perishable food distribution centres in
Beijing
Weiwei Gong1
Daoliang Li2
Xue Liu2
Jun Yue1
Zetian Fu1,*
1College of Economics and Management
China Agriculture University
PO Box 209
Beijing 100083, China
2College of Information and Electrical
Engineering
China Agriculture University
PO Box 209
Beijing 100083, China
*Author for correspondence: fzt.2007@yahoo.
com.cn; gongweiwei040625@yahoo.com.cn
Abstract Resolving inventory and location
problems is the
most important and fundamental tactical decision in the initial stages
of developing a distribution network design. This is especially true
for a logistics system dealing with perishable food. To minimise both
the total inventory transportation cost of fresh agri-products and also
waste in the supply chain, the evolution of the food supply chain
structure is analysed and an inventory location allocation model is
presented describing the real-life problem. The key issues are to
describe food demand distribution and to determine the balance of
transportation and inventory cost. To improve the quality of the
solution, a local search is embedded in the two-grade delayed particle
swarm optimisation. Experimental results demonstrate the algorithm can
effectively resolve conflict between different costs and improve
development decisions regarding Beijing’s perishable food distribution
centres.
Keywords food; inventory; location problem;
particle swarm
optimisation
A07090; Online publication date 25 January 2008; Received and
accepted 10 August 2007
New Zealand Journal of Agricultural Research, 2007, Vol. 50:
771–779
0028–8233/07/5005–0771 © The Royal Society of New Zealand 2007
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