Thesis Abstract

Abstract
Supplier Relationship Management (SRM) plays a crucial role in the success of manufacturing firms by enhancing efficiency, reducing costs, and improving overall performance. This thesis explores the optimization of SRM practices in the manufacturing industry to achieve sustainable competitive advantages. The study begins with an introduction to the significance of SRM, followed by an in-depth analysis of the background of the study, problem statement, objectives, limitations, scope, and structure of the thesis. The literature review in Chapter Two critically examines ten key aspects of SRM, including strategic sourcing, supplier evaluation, and collaboration strategies. Chapter Three outlines the research methodology, covering research design, data collection methods, sampling techniques, and data analysis procedures. The findings from the empirical research are discussed in Chapter Four, addressing challenges, opportunities, and best practices in optimizing SRM. The conclusion in Chapter Five summarizes the key findings, highlights the implications for manufacturing firms, and provides recommendations for future research. This thesis contributes to the existing body of knowledge by offering practical insights and strategies for enhancing SRM in the manufacturing industry, ultimately driving operational excellence and sustainable growth.

Thesis Overview

The project titled "Optimizing Supplier Relationship Management in the Manufacturing Industry" focuses on the critical area of supplier relationship management within the manufacturing sector. This research aims to explore and address the challenges faced by manufacturing companies in effectively managing their supplier relationships to enhance operational efficiency, reduce costs, and improve overall supply chain performance. Supplier relationship management is a key aspect of supply chain management that involves developing, maintaining, and enhancing relationships with suppliers to ensure the timely delivery of quality materials, components, and services. In the context of the manufacturing industry, where the reliability and quality of inputs are crucial for maintaining production schedules and meeting customer demands, effective supplier relationship management is essential. The research will begin with a comprehensive review of relevant literature on supplier relationship management in the manufacturing industry. This will provide a theoretical foundation for understanding the key concepts, approaches, and best practices in supplier relationship management. The literature review will highlight the importance of strong supplier relationships, the benefits of effective supplier management, and the challenges that companies face in this area. The research methodology will involve a combination of quantitative and qualitative research methods. Surveys and interviews will be conducted with supply chain managers, procurement professionals, and other relevant stakeholders in manufacturing companies to gather data on current practices, challenges, and opportunities in supplier relationship management. Data analysis will involve both quantitative techniques such as regression analysis and qualitative methods such as thematic analysis to identify patterns, trends, and insights. The findings of the research will be presented and discussed in detail in Chapter Four of the thesis. This chapter will provide an in-depth analysis of the survey and interview results, highlighting key findings, trends, and insights related to supplier relationship management in the manufacturing industry. The discussion will also include practical recommendations and strategies for optimizing supplier relationships based on the research findings. In conclusion, this research aims to contribute to the existing body of knowledge on supplier relationship management in the manufacturing industry by providing valuable insights, best practices, and recommendations for enhancing supplier relationships. By optimizing supplier relationship management practices, manufacturing companies can improve supply chain performance, reduce costs, and gain a competitive edge in the market.