Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
Journal of Computational Physics
Backorder fuzzy inventory model under function principle
Information Sciences: an International Journal
Fuzzy inventory without backorder for fuzzy order quantity and fuzzy total demand quantity
Computers and Operations Research
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms and Manufacturing Systems Design
Genetic Algorithms and Manufacturing Systems Design
Optimization of fuzzy production inventory models
Information Sciences—Applications: An International Journal
Combining convergence and diversity in evolutionary multiobjective optimization
Evolutionary Computation
Ant Colony Optimization
Multi-item stochastic and fuzzy-stochastic inventory models under two restrictions
Computers and Operations Research
A displayed inventory model with L---R fuzzy number
Fuzzy Optimization and Decision Making
Algorithm for the design of single-stage adaptive kanban system
Computers and Industrial Engineering
Information Sciences: an International Journal
Metaheuristic Clustering
Information Sciences: an International Journal
Fuzzy inventory model with two warehouses under possibility constraints
Fuzzy Sets and Systems
A memetic algorithm for extending wireless sensor network lifetime
Information Sciences: an International Journal
The multi-depot capacitated location-routing problem with fuzzy travel times
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
Two storage inventory model with fuzzy deterioration over a random planning horizon
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Echelon-stock (R,nT) control in two-stage serial stochastic inventory systems
Operations Research Letters
Multiple replenishment orders in a continuous-review inventory system with lost sales
Operations Research Letters
A high speed railway control system based on the fuzzy control method
Expert Systems with Applications: An International Journal
An adaptive robust fuzzy beamformer for steering vector mismatch and reducing interference and noise
Information Sciences: an International Journal
Hi-index | 0.07 |
Multi-periodic inventory control problems are mainly studied by employing one of two assumptions. First, the continuous review, where depending on the inventory level, orders can happen at any time, and next the periodic review, where orders can only be placed at the beginning of each period. In this paper, we relax these assumptions and assume the times between two replenishments are independent random variables. For the problem at hand, the decision variables (the maximum inventory of several products) are of integer-type and there is a single space-constraint. While demands are treated as fuzzy numbers, a combination of back-order and lost-sales is considered for the shortages. We demonstrate the model of this problem is of an integer-nonlinear-programming type. A hybrid method of fuzzy simulation (FS) and genetic algorithm (GA) is proposed to solve this problem. The performance of the proposed method is then compared with the performance of an existing hybrid FS and simulated annealing (SA) algorithm through three numerical examples containing different numbers of products. Furthermore, the applicability of the proposed methodology along with a sensitivity analysis on its parameters is shown by numerical examples. The comparison results show that, at least for the numerical examples under consideration, the hybrid method of FS and GA shows better performance than the hybrid method of FS and SA.