Multi-Criteria Decision Making in Operations Research

This paper delves into the realm of Multi-Criteria Decision Making (MCDM) within the field of Operations Research (OR). It provides an overview of the fundamental concepts and methodologies that underpin MCDM, highlighting its significance in complex decision-making processes. The discussion focuses on the challenges faced in incorporating multiple criteria into decision models and the strategies employed to address these challenges. The paper explores various techniques such as the Analytic Hierarchy Process (AHP), the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and the Simple Multi-Attribute Rating Technique (SMART). It also examines the integration of MCDM with other OR methods, such as optimization and simulation, to enhance the decision-making process. The paper further discusses the limitations of MCDM and suggests areas for future research to improve the accuracy and applicability of MCDM techniques in diverse operational environments.