Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
A Joint Location-Inventory Model
Transportation Science
Location-inventory planning models: capacity issues and solution algorithms
Location-inventory planning models: capacity issues and solution algorithms
A bi-criteria model for the inventory aggregation problem under risk pooling
Computers and Industrial Engineering
Efficient Production-Distribution System Design
Management Science
Trade-offs Between Customer Service and Cost in Integrated Supply Chain Design
Manufacturing & Service Operations Management
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Integrated location-inventory retail supply chain design: a multi-objective evolutionary approach
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
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Supply chain distribution network system provides an optimal platform for efficient and effective supply chain management. There are trade-offs betweenefficiency and responsiveness . In this research, a multi-objective capacitated location-inventory distribution network system is formulated which integrates the effects of facility location, transportation, and inventory issues and includes conflicting objectives. This model allows determining the optimal locations of distribution centers (DCs) and the assignment of buyers to DCs to find the set of Pareto optimal solutions. The possibility of a hybrid GA approach and its scenario analysis is investigated to understand the model performance and to illustrate how parameter changes influence its output.