Optimizing Supplier Selection Process using Artificial Intelligence in Purchasing and Supply Chain Management

Thesis Abstract

Abstract
The increasing complexity and global nature of supply chains have made the process of supplier selection a critical aspect of purchasing and supply chain management. Traditional methods of supplier selection often struggle to efficiently evaluate the numerous factors involved in making informed decisions. This thesis explores the application of Artificial Intelligence (AI) techniques to optimize the supplier selection process in purchasing and supply chain management. Chapter One provides an introduction to the research topic, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The significance of this study lies in addressing the challenges faced in supplier selection through the utilization of AI technologies. Chapter Two presents a comprehensive literature review consisting of ten key areas related to supplier selection, AI applications in supply chain management, and the integration of technology in purchasing processes. This chapter aims to establish a theoretical framework for the research by examining existing literature, identifying gaps, and highlighting the importance of AI in supplier selection. Chapter Three outlines the research methodology, including the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the selection and implementation of AI algorithms for supplier selection and explains how these methods contribute to optimizing the process. Chapter Four presents a detailed discussion of the findings obtained through the application of AI in the supplier selection process. The chapter analyzes the results, compares them with traditional methods, and evaluates the effectiveness of AI algorithms in enhancing decision-making and efficiency in supplier selection. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research, and offering recommendations for future studies and practical applications. This chapter also highlights the contributions of AI in improving supplier selection processes and emphasizes the potential benefits for organizations in enhancing supply chain performance. In conclusion, this thesis demonstrates the potential of Artificial Intelligence in optimizing the supplier selection process in purchasing and supply chain management. By leveraging AI technologies, organizations can improve decision-making, reduce risks, and enhance overall supply chain performance. The findings of this research provide valuable insights for academics, practitioners, and policymakers seeking to integrate AI into supplier selection processes for sustainable competitive advantage.