Thesis Abstract

Abstract
This thesis focuses on the optimization of production scheduling in a manufacturing facility through the implementation of advanced algorithms. The efficient scheduling of production processes is crucial for maximizing productivity, minimizing costs, and meeting customer demands. Traditional manual scheduling methods often fall short in ensuring optimal utilization of resources and meeting tight production deadlines. Therefore, the integration of advanced algorithms offers a promising solution to address these challenges and improve overall production efficiency. Chapter 1 provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. The chapter sets the stage for understanding the importance of optimizing production scheduling using advanced algorithms. Chapter 2 presents a comprehensive literature review on production scheduling, optimization techniques, and advanced algorithms. This chapter explores existing studies, methodologies, and tools used in production scheduling optimization to provide a solid foundation for the research. Chapter 3 details the research methodology employed in this study, including data collection methods, algorithm selection criteria, simulation techniques, and evaluation metrics. The chapter outlines the steps taken to implement and test the advanced algorithms for production scheduling optimization. Chapter 4 delves into the discussion of findings, presenting the results obtained from the application of advanced algorithms in production scheduling. The chapter analyzes the impact of optimization on key performance indicators, such as production throughput, resource utilization, and lead times. Chapter 5 concludes the thesis by summarizing the key findings, implications of the research, limitations, and recommendations for future studies. The conclusion highlights the significance of optimizing production scheduling using advanced algorithms and its potential benefits for manufacturing facilities. Overall, this thesis contributes to the field of industrial and production engineering by demonstrating the effectiveness of advanced algorithms in optimizing production scheduling processes. By leveraging these advanced tools, manufacturing facilities can achieve higher efficiency, reduced costs, and improved customer satisfaction, ultimately gaining a competitive edge in the industry.

Thesis Overview