Fuzzy Transportation Problems in Real-Life Scenarios: Challenges and Solutions

Abstract

Transportation problems are a critical aspect of logistics and supply chain management in both theoretical and practical domains. Traditionally, these problems have been formulated using deterministic parameters, which may not always reflect real-world complexities, where factors like demand, supply, and transportation costs are uncertain or imprecise. To address this, fuzzy set theory has been integrated into transportation problems, leading to the development of the "Fuzzy Transportation Problem" (FTP). This research paper explores the application of fuzzy set theory in solving transportation problems with uncertain parameters in real-life scenarios. It highlights how fuzzy models offer more realistic and flexible solutions for supply chain logistics, particularly when exact data is unavailable or fluctuating. The paper also discusses the implementation of fuzzy transportation problems in various industries and provides insights into their practical implications.