Optimization of Production Line Layout using Discrete Event Simulation in a Manufacturing Plant

Thesis Abstract

Abstract
This thesis focuses on the optimization of production line layout in a manufacturing plant using discrete event simulation. The efficient layout of production lines plays a crucial role in enhancing productivity, reducing operational costs, and improving overall performance in manufacturing facilities. Discrete event simulation is a powerful tool that can be utilized to model and analyze complex production systems, allowing for the identification of bottlenecks, inefficiencies, and areas for improvement. The objective of this study is to develop a methodology for optimizing production line layout through the application of discrete event simulation techniques. The research will involve a comprehensive literature review to understand the theoretical foundations of production line layout optimization and the principles of discrete event simulation. Ten key areas will be explored in the literature review, including current trends, methodologies, tools, and case studies related to production line optimization and discrete event simulation. The research methodology chapter will detail the various steps involved in the study, including data collection, model development, simulation experiments, and analysis of results. Eight key components of the research methodology will be discussed, such as data sources, simulation software selection, model validation techniques, and performance metrics used to evaluate the effectiveness of the optimized production line layout. Chapter four will present a detailed discussion of the findings obtained from the simulation experiments. The results will highlight the impact of optimized production line layout on key performance indicators such as throughput, cycle time, and resource utilization. The discussion will also explore the implications of the findings for manufacturing plant managers and decision-makers, providing insights into how optimized production line layouts can drive operational excellence and competitive advantage. In conclusion, this thesis will summarize the key findings, implications, and contributions of the study. The significance of optimizing production line layout using discrete event simulation will be highlighted, emphasizing the potential benefits for manufacturing plants in terms of efficiency, cost savings, and competitiveness. Finally, recommendations for future research directions in the field of production line optimization and discrete event simulation will be provided. Keywords Optimization, Production Line Layout, Discrete Event Simulation, Manufacturing Plant, Efficiency, Performance Improvement.