Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Chance constrained programming with fuzzy parameters
Fuzzy Sets and Systems
Multi-item fuzzy EOQ models using genetic algorithm
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Fuzzy inventory model with two warehouses under possibility constraints
Fuzzy Sets and Systems
A fuzzy-based lifetime extension of genetic algorithms
Fuzzy Sets and Systems
Computers and Industrial Engineering
Mathematical and Computer Modelling: An International Journal
Engineering Applications of Artificial Intelligence
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Items made of glass, ceramic, etc. are normally stored in stacks and get damaged during the storage due to the accumulated stress of heaped stock. These items are known as breakable items. Here a multi-item inventory model of breakable items is developed, where demands of the items are stock dependent, breakability rates increase linearly with stock and nonlinearly with time. Due to non-linearity and complexity of the problem, the model is solved numerically and final decisions are made using Genetic Algorithm (GA). In a particular case, model is solved analytically as well as numerically and results are compared. Models are developed with both crisp and uncertain inventory costs. For uncertain inventory costs both fuzzy and stochastic parameters are considered. A chance constrained approach is followed to deal with simultaneous presence of stochastic and fuzzy parameters. Different numerical examples are used to illustrate the problem for different cases.