2025

Many warehouses face inefficiencies due to poor product arrangement and lack of strategic slotting. While studies exist on warehouse optimization, limited research has addressed practical slotting applications in beverage distribution warehouses like CWAY Benin. This study investigates how product slotting can enhance storage efficiency and operations. A descriptive and analytical research design was used, combining primary data from warehouse observations and staff interactions with secondary data from company records and literature. A simulation model analyzed eight representative SKUs using the ABC classification and slotting technique to optimize product placement. Product slotting reduced total daily picking time from 21.5 to 10.2 hours, a 52.6% improvement. Strategic placement based on demand frequency enhanced accessibility, minimized labor time, and optimized warehouse space. The study recommends implementing formal slotting policies and periodic reviews to sustain efficiency.

This study examined the concentration trends and spatial distribution of tropospheric formaldehyde (HCHO) and ozone (O₃) across Lagos State, Southwestern Nigeria, from 2019 to 2024 using Sentinel-5P data processed on the Google Earth Engine (GEE) platform. These pollutants were selected due to their relevance to urban photochemical processes and respiratory health risks in rapidly developing megacities. Formaldehyde exhibited a marked seasonal cycle, with elevated concentrations during the dry Harmattan season (January–March) and lower values during the rainy months (June–September). High HCHO levels were consistently observed in dense and industrialized local government areas (LGAs) such as Ikeja, Kosofe, Shomolu, Oshodi-Isolo, and Lagos Island. Ozone demonstrated an opposite seasonal pattern, peaking in mid-year months (July–August), particularly across coastal LGAs including Eti-Osa, Ibeju-Lekki, and Epe, due to increased solar radiation and marine airflow dynamics favourable for photochemical ozone formation. Paired sample t-test results revealed no statistically significant differences in formaldehyde concentrations across all consecutive years (p > 0.05), indicating emission stability during the study period. Conversely, ozone concentrations showed a highly significant increase between 2021 and 2022 (p < 0.01), suggesting enhanced photochemical activity or intensified precursor emissions during that period. Overall findings highlight the role of anthropogenic emissions, seasonal meteorology, and policy interventions in shaping Lagos air quality. The study recommends strengthened emission controls, improved transportation systems, and continuous satellite-based air-quality monitoring to mitigate pollution impact.

Corrosive damage presents widespread problems throughout industries that produce major financial damages and protective hazards. The current study focuses on solving the essential corrosion monitoring requirements in remote industrial sites especially oil and gas pipelines since traditional monitoring techniques often prove expensive and unrealistic. The main objective of this project focuses on developing a wireless sensor network-based corrosion monitoring system that provides time-sensitivedata together with predictive analysis to allow preventive maintenance and decrease operational expenses. The main element of this project requires creating a WSN system through electromagnetic techniques which detects corrosion rates along with humidity and temperature sensors that track environmental conditions affecting corrosion. The system runs data processing through an ESP32 microcontroller linked with wireless transmission capabilities and is supported by Thing Speak cloud software for data storage and visualization. Its design enables quick installation and affordability as well as versatility so industrial operators can use the system across various environments. Wireless communication technology allows remote monitoring thus minimizing the necessity for human inspections.. Field trials of the developed sensor and Laboratory tests verify that the created sensor system successfully detects corrosion by precisely measuring degradation in different environmental parameters. Analysis results and failure predictions based on collected data enable correct timing of maintenance and wise decision-making. Since field trials proved the system valid, WSN-based corrosion monitoring provides both efficiency and economic benefits for traditional measurement approaches together with safety benefits from early warning capabilities.

Crude oil emulsions pose significant operational and environmental problems due to high viscosity, corrosion, and the toxicity of synthetic demulsifiers currently used. This research aims to investigate Lemon Peel Extract (LPE), a promising green, biodegradable alternative, by evaluating its performance kinetics against a stable crude oil emulsion. The study focused on determining the optimal LPE dosage required for achieving maximum water separation, supporting the industry's shift towards sustainable fluid processing. The methodology centered on the standard bottle test procedure, with the process optimized using a Central Composite Design (CCD) of experiments, testing Demulsifier Dosage, Temperature, and Time. A stable W/O emulsion was prepared at (50:50 v/v) and treated with LPE across a concentration range up to 127.6ppm. The vials were thoroughly shaken and placed in a thermostatically controlled water bath (operating between 30°C and 80°C) to enhance kinetics. Performance was monitored by measuring the volume of separated water at defined time intervals. The experimental results confirmed that the LPE is a highly effective demulsifier. The LPE successfully achieved its maximum water separation efficiency of 93.68%. This optimal performance was recorded at a dosage of 127.6ppm and a temperature of 55°C, with the separation being substantially complete within 75minutes. Response Surface Methodology confirmed a strong synergistic interaction between Dosage and Time (AC = +3.83), indicating that optimal performance requires sufficient LPE concentration paired with adequate contact time. These findings demonstrate that the LPE is a technically iv viable, fast-acting, and environmentally friendly green demulsifier for sustainable crude oil treatment operations.

Migration, both internal and international, plays a significant role in shaping the growth and development of cities worldwide, particularly in developing countries. Benin City, located in Edo State, Nigeria, is experiencing rapid urbanization driven by migration, with rural-to-urban migration being a major contributing factor. This study investigates the impact of migration on Benin City's socio-economic, infrastructural, and urban planning dynamics. The research uses a descriptive survey design, gathering primary data from 385 respondents through structured questionnaires, including migrants, long-term residents, urban planners, business owners, and government officials. Secondary data from maps, journal articles, and institutional publications complement the primary data to provide a comprehensive understanding of migration trends. The study finds that migration is primarily driven by economic, social, and environmental factors, including job opportunities, educational prospects, and security concerns. Migration has led to significant demographic changes in Benin City, including increased population density, ethnic diversity, and a higher proportion of youth. The influx of migrants has positively influenced the economy through business growth, job market expansion, and remittances, while simultaneously creating challenges such as housing shortages, overcrowding, and strain on public services like healthcare, education, and transportation. Furthermore, migration has resulted in changes to urban planning and housing development, contributing to informal settlements and increasing pressure on urban infrastructure. The study suggests that policymakers and urban planners should focus on long-term strategies to address the challenges posed by migration, such as expanding healthcare, improving transportation, and prioritizing affordable housing development. The study emphasizes the need for policies that balance the benefits of migration with the necessity of sustainable urban growth.

Efficient route planning plays a crucial role in logistics management because it directly affects transportation cost, delivery time, and operational efficiency. Many delivery operations experience inefficiencies due to poorly structured routing strategies, particularly when multiple locations must be served from a single depot. This study focuses on optimizing delivery routes for Viboi Ventures, a Coca Cola distribution depot located in Benin City, Nigeria. The primary aim of the research is to determine the most efficient delivery sequence that minimizes total travel distance while ensuring that each destination is visited exactly once. To achieve this aim, the study obtained delivery location data, determined inter-location distances using Google Maps, and developed an optimization model to evaluate alternative delivery routes. The study adopts a quantitative modelling approach based on the Travelling Salesman Problem (TSP), a well established optimization model used to determine the shortest possible route through multiple locations. Distance data between the depot and nine delivery points were collected using Google Maps and organized into a distance matrix. Manual computations were first conducted to evaluate feasible route combinations. To enhance the reliability of the results, the Branch and Bound optimization algorithm was subsequently applied to systematically evaluate route alternatives and validate the optimal solution. The analysis showed that the manually derived route produced a total travel distance of 13.7 km, while the algorithm based solution generated a shorter distance of 12.2 km both was significantly lower than that of the company’s existing delivery route which is 18.7km. This result demonstrates the effectiveness of algorithmic optimization in improving delivery efficiency and reducing travel distance. The study concludes that applying computational optimization techniques such as the Branch and Bound algorithm, combined with real world geographic data, can significantly improve logistics planning and operational performance for delivery based businesses.

The study concluded that undergraduates are not using the reference management software (RMS) and that reference management software plays no role in their undergraduate learning. Undergraduates in Uniben are faced with challenges in using RMS such as a lack of training, instruction, and computer skills. In view of the findings of the study, the following recommendations were made Reference Management software should be provided and made available in Universities and students exposed to it. Proper instruction and training on RMS, and citation styles should be given to students to enhance their usage. The computer skills of students should be enhanced and as well be provided with technical support majorly from the university library.

This study examined the knowledge, perception, and factors influencing organic waste management practices among poultry farmers in Egor Local Government Area, Benin City, Edo State. The primary objective was to assess farmers’ awareness of the environmental, health, and economic risks associated with poor waste management, as well as to identify the factors shaping their waste handling behaviors. The study adopted a descriptive survey research design, with data collected from 38 poultry farmers using a structured questionnaire. The instrument was validated by experts and tested for reliability using the test-retest method. Data were analyzed using descriptive statistics, including frequency counts, percentages, means, and standard deviations. Findings revealed that poultry farmers generally possess a high level of knowledge regarding the environmental and health risks of improper waste management, but their awareness of economic benefits from sustainable practices, such as composting and biogas production, was moderate. Labor availability, farm size, government policies, and public awareness were identified as key factors influencing waste management practices. The study also found that while farmers demonstrate positive perceptions toward mitigation measures, limited government support and low public awareness hinder the full adoption of sustainable practices. Based on these findings, the study recommends targeted training programs, policy enforcement, and community sensitization initiatives to enhance sustainable poultry waste management. The study contributes to environmental management literature by highlighting the critical role of farmers’ knowledge, perceptions, and socio-environmental factors in promoting sustainable agricultural practices.

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The study investigated the influence of Audio-visual materials in the teaching and learning of physiology among Special Education students in the University of Benin. The sample of the study comprised eighty (80) Special Education students in Faculty of Education, University of Benin. The study adopted descriptive survey and the instrument for data collection was titled “Use of Audio-visual material questionnaires. Three research questions were raised and analyzed with descriptive statistics of mean and standard deviation. The findings of the study revealed that not all the audiovisual materials are available in the teaching and learning among Special Education students in the University of Benin, it therefore recommended among others, collaborating with the government to provide adequate audio-visual materials for the Special Education students.