2009 11th International Conference on Computer Modelling and Simulation 2009
DOI: 10.1109/uksim.2009.103
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Improvement and Solving Three New Supply Chain Inventory Control Models for Perishable Items Using Just-in-Time Logistic

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“…The model developed to minimize the total cost was analyzed by Ant Colony Algorithm and it was found that Ant Colony Algorithm is more effective than Particle Swarm Optimization Algorithm. Ghasimi and Ghodsi [7], offers three new inventory control models for perishable products in the JIT supply chain. The model aims to minimize the total cost of the entire supply chain, including production, transportation, stock, early and late delivery, and the cost of processed goods.…”
Section: Introductionmentioning
confidence: 99%
“…The model developed to minimize the total cost was analyzed by Ant Colony Algorithm and it was found that Ant Colony Algorithm is more effective than Particle Swarm Optimization Algorithm. Ghasimi and Ghodsi [7], offers three new inventory control models for perishable products in the JIT supply chain. The model aims to minimize the total cost of the entire supply chain, including production, transportation, stock, early and late delivery, and the cost of processed goods.…”
Section: Introductionmentioning
confidence: 99%