Career Decisions For University Majors In Industrial Engineering And Management (Iem): An Application Of Mcdm Methods

Abstract

This thesis examines professional decision-making for university majors in Industrial Engineering and Management (IEM) using various Multi-Criteria Decision-Making (MCDM) techniques. The Analytical Hierarchy Process (AHP) is fundamental to this research since it determines the weight of numerous variables considered important when choosing a professional path. These parameters are then used to evaluate various career selection in the IEM area. This weighted analysis then serves as the foundation for subsequent assessments utilizing four MCDM methods: ELECTRE, TOPSIS, VIKOR, and PROMETHEE. . Each method provides a distinct strategy to rating and selecting jobs based on the AHP's requirements. Data was collected mostly through a structured survey of undergraduate and graduate students. The survey was divided into two parts: paired comparison questions using the AHP scale and an assessment of various job alternatives based on predefined criteria. This extensive use of MCDM methodologies creates a strong framework for supporting IEM students in making informed and planned career choices. The findings are intended to demonstrate the practical consequences of each strategy and provide a comparative analysis of their usefulness in influencing career decisions. Finally, this study contributes to the larger field of career advising by combining complicated decision making techniques with individual career planning in industrial engineering and management.