Modestus Okwu
Dr. Modestus O. Okwu is currently an Associate Professor in the Department of Mechanical Engineering, College of Engineering Technology, Federal University of Petroleum Resources Effurun, Delta State Nigeria. He had Postdoctoral Research Fellowship experience at the School of Mechanical and Industrial Engineering, University of Johannesburg (UJ), South Africa. His research interest include: Robotics and Metaheuristics, Renewable Energy, Big Data Analytics, Supply Chain Design and Modeling.
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Papers by Modestus Okwu
management has continued to grow complex by the day arising from its connection with the dynamism being experienced in technology, innovation and information carriage in recent time. Consequently, decision makers at this level can no longer depend on the power of intuition but require creative algorithms. The major thrust of this paper, therefore, is to propose an imaginative approach for solving a linear programming problem (LPP) for multi-product distribution by creating a transshipment system and analysis using artificial neural network
(ANN) technique for effective product allocation and cost prediction. Data obtained from a bottling company in Nigeria were used for the analysis. The results of the analyses indicate that the company spent ₦6,332,304.00 (17,590.00USD) on product distribution within the period of survey. However, from the established creative model, the total cost of distribution of product to available depots equaled ₦4,170,500.00 (11585.00.USD). The current operational cost was saved by roughly 34% using the ANN model. The study, therefore, concludes that ANN model provides a good prediction response in solving transportation/transshipment problems, thus offers an appropriate distribution strategies for cost optimization.