Thesis Abstract

Abstract
In the competitive landscape of the automotive industry, the selection of suppliers plays a critical role in determining the overall success and efficiency of supply chain operations. This thesis explores the challenges faced in the supplier selection process within the automotive industry and aims to provide strategies for optimizing this process. The introduction section sets the stage by highlighting the importance of supplier selection in the automotive sector and the impact it has on operational performance. The background of the study delves into the current practices and trends in supplier selection, emphasizing the need for improvement and optimization. The problem statement identifies the key issues faced by automotive companies in the supplier selection process, such as lack of transparency, inconsistent criteria, and limited supplier collaboration. The objectives of the study focus on developing a framework for optimizing supplier selection, enhancing decision-making processes, and improving overall supply chain performance. The limitations of the study are also acknowledged, including potential constraints in data availability and generalizability of findings. The scope of the study outlines the specific areas within supplier selection that will be addressed, such as criteria development, supplier evaluation, and performance monitoring. The significance of the study lies in its potential to provide practical insights and recommendations for automotive companies to enhance their supplier selection processes and gain a competitive edge in the market. The structure of the thesis is detailed to guide readers through the different chapters and sections of the research work. Definitions of key terms are provided to ensure clarity and understanding of the concepts discussed throughout the thesis. The literature review chapter presents an in-depth analysis of existing research and theories related to supplier selection in the automotive industry. Key themes explored include supplier evaluation methods, decision-making models, and best practices for supplier relationship management. The research methodology chapter outlines the research design, data collection methods, sampling techniques, and data analysis procedures employed in the study. The discussion of findings chapter presents the results of the empirical research conducted, highlighting key insights, trends, and implications for practice. The conclusions drawn from the study emphasize the importance of strategic supplier selection, collaboration, and continuous improvement in the automotive supply chain. The summary of the thesis encapsulates the key findings, contributions, and recommendations for future research and industry practice. Overall, this thesis contributes to the body of knowledge on supplier selection in the automotive industry and provides valuable insights for practitioners, researchers, and policymakers seeking to optimize supply chain processes and drive operational excellence in the automotive sector.

Thesis Overview

The project titled "Optimizing Supplier Selection Process in the Automotive Industry" aims to investigate and improve the process of selecting suppliers within the automotive industry. This research is motivated by the critical role that suppliers play in the success of automotive companies, as they provide essential components and materials necessary for manufacturing vehicles. The efficiency and effectiveness of supplier selection directly impact the overall performance, cost, and quality of the automotive products. The research will begin with an in-depth analysis of the current supplier selection process in the automotive industry, highlighting the challenges and shortcomings faced by companies in this sector. By exploring the existing literature on supplier selection methodologies, criteria, and best practices, the study will identify common issues and potential areas for improvement. The project will then focus on developing a framework or model for optimizing the supplier selection process in the automotive industry. This framework will consider various factors such as supplier performance, cost, quality, delivery time, and risk management to create a comprehensive and systematic approach to supplier evaluation and selection. By incorporating both qualitative and quantitative methods, the research aims to provide a practical and effective solution that can be implemented by automotive companies to enhance their supplier selection processes. Furthermore, the study will include a detailed examination of case studies and real-world examples from the automotive industry to validate the proposed framework and demonstrate its potential impact on improving supplier selection outcomes. By analyzing the experiences and outcomes of companies that have successfully optimized their supplier selection processes, the research aims to provide valuable insights and practical recommendations for industry practitioners. Overall, this research project seeks to contribute to the advancement of supplier management practices in the automotive industry by offering a strategic and data-driven approach to optimizing the supplier selection process. Through a thorough investigation of current practices, the development of a new framework, and the validation through case studies, this study aims to provide actionable recommendations that can help automotive companies enhance their supplier selection processes and ultimately improve their overall performance and competitiveness in the market.