Browsing by Author "Y.O. Aderinto"

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    Corner Rules Method of Solving Transportation Problem
    (Earthline, 2022-07-07) T.O. Aliu; Y.O. Aderinto; K. Issa
    Several approaches have been advanced for solving transportation problems. The most prominent of them in various text being, North West Corner Rule(NWCR), Least Cost Method(LCM), and Vogel's Approximation Method(VAM). This paper considered three additional corner rules, which are North East Corner Rule(NECR), South West Corner Rule(SWCR) and South East Corner Rule(SECR). Algorithms ware provided for obtaining initial feasible solution to Transportation Problems. Three test examples were considered using the rules. The results revealed that the NECR and SWCR have equal result. While NWCR and SECR also produce the same result. NECR and SWCR however, better minimize transportation cost. The two methods are therefore recommended for use in any business organization requiring shipment of products.
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    Corner Rules Method of Solving Transportation Problem
    (Earthline Publishers, 2022-07-07) T.O. Aliu; Y.O. Aderinto; K. Issa
    Several approaches have been advanced for solving transportation problems. The most prominent of them in various text being, North West Corner Rule(NWCR), Least Cost Method(LCM), and Vogel's Approximation Method(VAM). This paper considered three additional corner rules, which are North East Corner Rule(NECR), South West Corner Rule(SWCR) and South East Corner Rule(SECR). Algorithms ware provided for obtaining initial feasible solution to Transportation Problems. Three test examples were considered using the rules. The results revealed that the NECR and SWCR have equal result. While NWCR and SECR also produce the same result. NECR and SWCR however, better minimize transportation cost. The two methods are therefore recommended for use in any business organization requiring shipment of products.
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    Optimization of Honey Bee Production
    (North Atlantic University Union (NAUN), 2020) Y.O. Aderinto; A. Azagbaekwue; O.M. Bamigbola; M.O. Oke; A.A. Abayomi; L.O. Salaudeen; T.O. Aliu
    Beekeepers are faced with q u i t e a number of challenges such as selection of fields and enhancement of honey production. In this paper crisp deterministic honey bee production model was formulated in an attempt to optimize the distribution of beehives in the apiary in order to maximize production of honey and minimize unhealthy competition among foraging bees which often arises as a result of overcrowding. The model was characterized u s i n g Weighted sum model (WSM) and Analytic Hierarchical Model (AHM). Finally the validity of the model was tested with the real life data and the results obtained shows that proper distribution of the b ee hives in the apiary is imp ortant to maximize production and minimize unpleasant fields.