Journal
NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH
Volume 50, Issue 5, Pages 771-779Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00288230709510350
Keywords
food; inventory; location problem; particle swarm optimisation
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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 swat-in optimisation. Experimental results demonstrate the algorithm can effectively resolve conflict between different costs and improve development decisions regarding Beijing's perishable food distribution centres.
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