http://repository.unizik.edu.ng/handle/123456789/48 Department of Industrial/Production Engineering Tue, 11 Aug 2026 07:55:06 GMT 2026-08-11T07:55:06Z http://repository.unizik.edu.ng/handle/123456789/1242 Title: Machine Learning Applications for Production Scheduling Optimization Authors: Aguh, Patrick Sunday; Udu, Chukwudi Emeka; Chukwumuanya, Emmanuel Okechukwu; Okpala, Charles Chikwendu Abstract: Production scheduling represents a critical function within manufacturing and industrial operations, exerting a direct influence on productivity, operational efficiency, and overall cost management. Traditional scheduling methodologies, while foundational, often exhibit limitations when confronted with the complexity, variability, and dynamic demands of contemporary production environments. In response, this paper investigates the potential of Machine Learning (ML) techniques for the enhancement of production scheduling outcomes. Specifically, it examines the capabilities of reinforcement learning, neural networks, and genetic algorithms to model complex systems, adapt to real-time disruptions, and support more effective decision-making processes. The paper further reviews notable industrial applications of these techniques, critically evaluating their performance relative to conventional methods. In addition, it addresses the inherent challenges associated with the deployment of ML in production scheduling, including data availability, algorithmic interpretability, and integration with legacy systems. Finally, the study outlines future research directions, emphasizing the need for more robust, scalable, and interpretable ML-based scheduling solutions to meet the evolving demands of modern industry. Description: scholarly works Wed, 01 Jan 2025 00:00:00 GMT http://repository.unizik.edu.ng/handle/123456789/1242 2025-01-01T00:00:00Z http://repository.unizik.edu.ng/handle/123456789/1197 Title: LEAN PRINCIPLES INTEGRATION WITH DIGITAL TECHNOLOGIES: A SYNERGISTIC APPROACH TO MODERN MANUFACTURING Authors: Chukwumuanya, Emmanuel Okechukwu; Udu, Chukwudi Emeka; Okpala, Charles Chikwendu Abstract: The integration of lean principles with digital technologies marks a transformative shift in modern manufacturing and operations management. Lean methodologies focus on reducing waste, optimizing resources, and maximizing value, while digital tools such as IoT, AI, and Big Data Analytics enable real-time monitoring, predictive insights, and automation. This study explores how the combination of these paradigms will enhance operational efficiency, agility, and competitiveness in manufacturing environments. Through an analysis of applications like smart production systems, predictive maintenance, and digital value stream mapping, the research highlights significant benefits, including improved quality, faster decision-making, and reduced downtime. It also examines challenges such as technological complexity, data security, organizational resistance, and the need for workforce upskilling. Emerging trends like Industry 5.0 and human-centric smart factories are discussed, emphasizing the evolving landscape of digitally driven lean manufacturing. The findings demonstrated that integrating lean principles with digital technologies is no longer optional, but essential for firms aiming to thrive in an increasingly dynamic global market. This synergy represents a strategic pathway towards sustainable operational excellence and innovation in the manufacturing sector. Description: scholarly works Wed, 01 Jan 2025 00:00:00 GMT http://repository.unizik.edu.ng/handle/123456789/1197 2025-01-01T00:00:00Z http://repository.unizik.edu.ng/handle/123456789/1195 Title: THEORETICAL DESIGN OF A NON-ENERGY RECOVERY INCINERATOR FOR AWKA MUNICIPALITY Authors: Chukwumuanya, Emmanuel Okechukwu; Ihueze, Christopher Chukwutoo; Chukwuma, Emmanuel Chibundo Abstract: Waste management in Awka, the Capital City of Anambra State, Nigeria is the principal function of the Anambra State Waste Management Agency. Waste disposal practices in the area are mainly by open dumping and open burning which constitute serious health hazards to the residents and the environment. Use of well designed incinerators and well-built landfills are yet to attract some interest in the said area; probably because of the huge costs of equipment procurement and the expertise involved. The study aimed at designing a hypothetical non-energy recovery incinerating system for municipal solid waste generated in Awka Municipality. The incinerator is rated at a capacity of 45 tons/day, with a charging rate of 5.625 tons/hr. The relation between the refuse and the flue gases and the amounts of water and air required for complete combustion of the refuse and the necessary steps taken to ensure emission of clean gas through the stack are presented. Various assumptions were made which informed the design of the facility's combustion chambers. The materials flow/balance analyses are presented. It is hoped that this hypothetical design will provoke some interests that would lead to actual fabrication of the designed municipal solid waste incinerator for Awka urban area of Anambra State Description: Scholarly works Mon, 01 Jan 2018 00:00:00 GMT http://repository.unizik.edu.ng/handle/123456789/1195 2018-01-01T00:00:00Z http://repository.unizik.edu.ng/handle/123456789/1191 Title: Economic analysis of poultry meat production process for maximum profitability: A case study approach Authors: Chukwmuanya, Emmanuel Okechukwu; Okpala, Charles Chikwendu; Anyaora, Sunday Chimezie Abstract: The study investigates the optimization of poultry meat production strategies at X Farms Ltd, evaluating three production strategies: dressed chicken carcasses only, four chicken parts/sets only, and a mixed strategy. The research strategy employed is a combination of qualitative, quantitative, and mathematical models development methods. The results show that while the dressed chicken carcasses strategy yields the highest total profit (N527,515,639), the mixed strategy offers the highest return on unit investment (N3828/N1000). The study highlights the importance of considering factors such as waste management, profitability, and return on investment in choosing a production strategy. The findings suggest that farmers can optimize their production strategies and ensure sustainability of their business by prioritizing their resources and market conditions. Besides, by improving efficiency and reducing meat waste, farmers can increase profitability, enhance product quality, and reduce their environmental footprint. Moreso, application of economic analysis in poultry meat production can help poultry farms respond better to changing market conditions, consumer preferences, and environmental regulations. It can as well help poultry farms improve their overall performance Description: scholarly works Sun, 08 Jun 2025 00:00:00 GMT http://repository.unizik.edu.ng/handle/123456789/1191 2025-06-08T00:00:00Z