Enhanced Decision-Making in Warehousing: A Comparative Analysis of Max-Min-Max and Improved (3,2) Fuzzy Composition Methods

Abstract

            This paper presents a decision-making approach using a (3,2) fuzzy matrix to evaluate the optimal warehouse for storing products during different seasons, considering multiple criteria such as cost, demand, and storage conditions. The products evaluated include electronics, clothing, food items, furniture, and books, with seasons like spring, summer, autumn, winter, and rainy. We first define a (3,2) fuzzy relation matrix ​ to evaluate the storage suitability of each product at specific warehouses during various seasons, followed by a matrix  to evaluate the suitability of the warehouses in those seasons. Using a max-min-max operation, we compute the composite event relation matrix ​, which helps identify the optimal warehouse for each product in each season​.This approach provides warehouse managers with a systematic and robust method to account for uncertainty in storage decisions.