Thesis Abstract

Abstract
The implementation of Lean Manufacturing Principles in small-scale manufacturing industries has been gaining significant attention in recent years due to its potential to enhance operational efficiency and productivity. This thesis aims to investigate the application of Lean Manufacturing Principles in a small-scale manufacturing industry and evaluate its impact on performance improvement. The study will focus on identifying the key principles of Lean Manufacturing and analyzing how they can be effectively implemented in a small-scale manufacturing setting. The research will commence with a comprehensive review of the relevant literature on Lean Manufacturing Principles, providing a detailed understanding of the concepts and methodologies involved. Subsequently, the research methodology chapter will outline the approach taken to collect and analyze data, including research design, data collection methods, and data analysis techniques. The empirical findings chapter will present the results of the study, including the challenges encountered during the implementation of Lean Manufacturing Principles in the small-scale manufacturing industry, as well as the benefits realized. This chapter will provide a detailed discussion of the key findings, supported by relevant data analysis and case studies. The conclusion and summary chapter will summarize the key findings of the study, highlighting the implications for practice and future research. It will also provide recommendations for small-scale manufacturing industries looking to implement Lean Manufacturing Principles to improve their operational efficiency and competitiveness in the market. Overall, this thesis contributes to the existing body of knowledge on Lean Manufacturing Principles and their application in small-scale manufacturing industries. By examining the challenges and benefits of implementing Lean Manufacturing in this context, the study provides valuable insights for practitioners and researchers seeking to optimize manufacturing processes and enhance performance in small-scale manufacturing settings.

Thesis Overview