A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-II
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Optimal manufacturing batch size with rework process at a single-stage production system
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers & Mathematics with Applications
Expert Systems with Applications: An International Journal
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Economic order quantity model for deteriorating items with planned backorder level
Mathematical and Computer Modelling: An International Journal
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An inventory model of deteriorating seasonal products with Maximum Retail Price (MRP) for a wholesaler having showrooms at different places under a single management system is considered under random business periods with fuzzy resource constraints. The wholesaler replenishes the products instantaneously and earns commissions on MRP which vary with the ordered quantities following All Unit Discount (AUD), Incremental Quantity Discount (IQD) or IQD in AUD policy. Demand at showrooms are imprecise and related to selling prices by 'verbal words' following fuzzy logic. The wholesaler shares a part of commission with customers. The business periods follows normal distribution and converted to deterministic ones through chance constraint technique. The fuzzy space and budget constraints and fuzzy relations are defuzzified using possibility measures, surprise function and Mumdani fuzzy inference technique. The model is formulated as profit maximization for the wholesaler and solved using a real coded Genetic Algorithm (GA) and illustrated through some numerical examples and some sensitivity analysis. A real-life problem of a developing country is presented, solved using the above mentioned procedures and an appropriate inventory policy is suggested.