Thesis Abstract

Abstract
Efficient material handling is crucial for the productivity and profitability of manufacturing organizations. This study examines the impact of efficient material handling methods in Max Aluminium Industry, Owerri. The research aims to investigate the current material handling practices in the organization and propose improvements to enhance efficiency. The study employs a case study approach, focusing on Max Aluminium Industry in Owerri. Data collection methods include interviews, observations, and document analysis to understand the existing material handling processes. The research evaluates the current challenges faced in material handling, such as delays, inventory discrepancies, and production bottlenecks. By analyzing the data collected, the study identifies opportunities for improvement in material handling practices. The research suggests implementing automation technologies, such as conveyor systems and robotic arms, to streamline material movement within the manufacturing facility. Additionally, the study recommends training programs for employees to enhance their skills in material handling techniques. The findings of the study indicate that efficient material handling methods can significantly impact the overall operational efficiency of Max Aluminium Industry. By reducing material handling times, minimizing errors, and optimizing inventory management, the organization can enhance productivity and reduce costs. The research highlights the importance of investing in material handling infrastructure and employee training to improve efficiency in manufacturing operations. Overall, the study emphasizes the need for continuous improvement in material handling practices to stay competitive in the manufacturing industry. By adopting efficient material handling methods, organizations can achieve greater operational efficiency, reduce waste, and enhance customer satisfaction. The research provides valuable insights for Max Aluminium Industry and other manufacturing organizations seeking to optimize their material handling processes for improved performance and profitability.

Thesis Overview