Browsing by Author "Garba Mohammed Kabir"

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    Modelling of ost-COVID-19 food production index in Nigeria using Box-Jenkins methodology
    (2023) Garba Mohammed Kabir; Akanni S. B.; Kareem, K. Y.; Yusuf, A. A.; Jabaru, S. O.; Abolarin, J. S.; Amoyedo, F. E.
    Before the COVID-19 pandemic, global food security has been known to be a major threat for developed and developing countries of the world. However, during the COVID-19 pandemic, global food security was expected to be at a very high risk due to lockdown across the globe. Consequently, the developing countries, most especially, were expected to experience food shortage challenges. One important way to measure the amount of food production of any country in the world is through the use of a macroeconomic variable known as Food Production Index (FPI). Therefore, this study seeks to examine the post-COVID-19 behavior of the Nigeria’s FPI using the Box-Jenkins methodology for modeling univariate time series. A low-frequency time series datasets over 56 years spanning from 1961 to 2016 on Nigerian FPI was extracted from World Bank repository. Pre-tests results from the unit root analyses, correlogram and selection criteria techniques showed that the FPI is a differenced stationary series of order one {I(1)}and that ARIMA (2, 1, 2) model best fitted the series. Besides, diagnostic checking of the fitted model confirmed that the error was white noise and forecast of 8 years (2017 to 2024) was made. Findings from the study revealed that the future values of the FPI are erratic and expected to fluctuate (i.e., rise and fall) within the predicted periods. Conclusively, the fourteen years out sample forecast of FPI for the periods 2017 to 2030 indicates that the gains of FPI in recent years is currently being affected by the current COVID-19 pandemic. The study recommends that concerted efforts to achieve optimal FPI must be focused on the improvement of inter-regional trade which will result in shorter food chains, and thereby creating more market for farmers and enhancing accessibility to both inputs and outputs.
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    On the use of linear programming model approach in profit optimization of a product mix company
    (Islamic University Multidisciplinary Journal (IUMJ), Islamic University in Uganda, 2020-10-15) Garba Mohammed Kabir; Banjoko Alabi Waheed; Yahya Waheed Babatunde; Gatta Nusirat Funmilayo
    This study employed the utilization of a slack starting solution approach of the Simplex Optimization method to build a Linear Programming (LP) model. Data were extracted from the record unit for an item blend fabricating industry, Fortunate Bakery, Ilorin, Nigeria. The information was collected on four noteworthy sorts of bread produced by the bakery which includes; Special Delight (SD), Ordinary Slice Bread (OSB), Ordinary Gala (OG) and Saloon (S) regarding their unit costs and selling prices, the raw materials utilized and the amount of each of the crude materials held in stock every day. In view of the data supplied, a linear programming problem was developed with the goal of maximizing the daily profit of the organization. The optimal daily profit that would be achievable to the organization in the item blend was resolved utilizing the methodology specified earlier. The results showed that the organization would achieve ideal daily profit level of ₦ 9,500 (or monthly profit level of ₦285,000) if she concentrates on the production of type alone is given to the unit offers of Saloon bread and disregard other lines of items produced by the company. By this, aggregate daily offers of about 380 (or monthly offers of about 11,400) units of Saloon bread would be sold by the organization. The data analyses were carried out USING Tora software package