Cost Optimization Ordering Costs Holding Costs Inventory Turnover Supply Chain Management Demand Forecasting Operational Efficiency Procurement Strategy Working Capital Management Construction Industry Raw Material Price Volatility Production Planning

The John Harris Library at the University of Benin serves as a vital academic resource hub, yet its outdated Library Management System (LMS) significantly hinders operational efficiency and user satisfaction. The current system relies heavily on manual processes, lacks mobile accessibility, offers limited integration with university authentication systems, resulting in slow resource retrieval, user frustration, and reduced library engagement. This project addresses these challenges through the design and implementation of an enhanced web-based Library Management System designed to modernize library operations and improve the overall user experience. The proposed system leverages modern web technologies including Django REST Framework for
backend operations, React with TypeScript for a responsive frontend interface, and PostgreSQL for robust data management. Core innovations include automated cataloguing and circulation processes, an intuitive user interface with advanced search capabilities, secure role-based authentication integrated with university Single Sign-On (SSO) systems, comprehensive mobile and web accessibility across devices, and real-time analytics for data-driven decision-making. By automating routine tasks such as resource tracking, the system significantly reduces manual workload for library staff while simultaneously improving service delivery speed and accuracy. This project demonstrates that strategic application of modern software engineering principles and web technologies can effectively transform traditional library operations into dynamic, usercentric services.

The study optimizes inventory management in a roofing sheet production company using the Economic Order Quantity (EOQ) model to minimize costs and enhance operational efficiency, with a specific focus on 0.4mm Aluminium coil. In the Nigerian manufacturing sector, where rapid urbanization and construction demand drive material needs, inefficiencies in inventory practices,often result in tied-up capital, production delays, and reduced profitability. These challenges are increased by volatile raw material prices and supply chain disruptions common in developing economies like Nigeria. The primary problem addressed is the lack of a data-driven approach tobalance ordering costs (e.g., procurement and logistics fees) and holding costs (e.g., storage, insurance, and opportunity costs of capital), which undermines financial performance in an industry reliant on standardized products with relatively stable but seasonally influenced demand. The aim is to apply the EOQ model to determine optimal order quantities, evaluate cost savings compared to current practices, analyze improvements in inventory turnover, and assess the impact of key variables like demand, ordering costs, and holding costs. This contributes to sustainable operations in construction-driven markets by demonstrating EOQ as a practical tool for decision making. The findings affirm the EOQ model's effectiveness in manufacturing contexts with predictable demand, such as roofing sheets. By aligning procurement with economic principles, it supports cost efficiency, better cash flow, and competitiveness in Nigeria's construction sector, where Aluminium imports and local production face ongoing challenges. Limitations include the single product focus and exclusion of factors like quantity discounts or demand variability, suggesting avenues for future research integrating advanced EOQ variations. Overall, adopting EOQ can drive operational sustainability and profitability for similar industries.