Optimal Multi-echelon Integrated Supply Chain Selecting Best Supplier and Distributor using Multi-objective Genetic Algorithm
Abstract
Supply chain managers across the globe are strugling to integrate and utilize core competencies of supply chain players, so that goods are manufactured and delivered at right time while minimizing cost and satised customers demand. In this model we have discussed the problem of supplier and distributor selection for an optimal supply chain. Where both selection is done on the basis of multi-criteria like oer price, limited supply and storage capacity, delivery time, geographic location, quality etc. On the basis of these multi-criteria we have formulated multi-objective mathematical model. We have optimized this model using multi-objective Genetic algorithm and visualised by parallel coordinates plot. In the end, numerical example is carried out to justify the feasibility of the model. The present model deals with an integrated multi-echelon supply chain that reduce the total cost of supply chain by allocating optimal supplier and distributor to the manufacturer and retailer respectively.References
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