Fuzzy set theoretic interpretation of economic order quantity
IEEE Transactions on Systems, Man and Cybernetics
Economic order quantity in fuzzy sense for inventory without backorder model
Fuzzy Sets and Systems
Multiobjective Scheduling by Genetic Algorithms
Multiobjective Scheduling by Genetic Algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Multi-item fuzzy EOQ models using genetic algorithm
Computers and Industrial Engineering
Genetic algorithm for inventory lot-sizing with supplier selection under fuzzy demand and costs
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Mathematical and Computer Modelling: An International Journal
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In this paper a multi-item fuzzy inventory model under total production cost, total storage space and number of orders constraints is solved with a Genetic Algorithm. In this model, the production cost and set up cost are directly proportional to the respective quantities, unit production cost is inversely related to the demand and set up cost is assumed to vary directly with lot size. Also Shortages are allowed. However this approach has been applied to solve the model under fuzzy objective of cost minimization and imprecise constraints on storage space, number of orders and production cost with imprecise inventory costs. This model has been formulated as FNLP problem and then converted to equivalent crisp decision making problems and solved by a Genetic Algorithm. Finally the model is illustrated with a numerical example.