Comparative Analysis of Crisp and Fuzzy Inventory Management Systems

• Sahil Patel

  JEC

  Author

• Devyani Soni

  Author

• Tan Le On

  Author

Traditional Crisp (deterministic) inventory models and Fuzzy inventory management systems are analyzed and contrasted in this paper. The study assesses total cost, robustness to demand and lead-time variability, and the effect on profitability using a Mamdani-type fuzzy inference system (FIS) implemented in MATLAB and EOQ-based crisp simulation. Differences in total cost over 100 simulated periods are evaluated using multiple linear regression (MLR) and a statistical hypothesis test (t-test). The findings show that in the tested scenarios, the fuzzy approach provides better stability under uncertainty and lowers overall cost.  

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