Transforming University Knowledge Production towards the Promotion of Inclusive Development in Nigeria (Published)
Nigeria has been seemingly inelastic to global changes in terms of joining the post-industrial revolution. Renaissance of knowledge in Africa was identified as a potent factor for economic growth by World Bank (IBRD). This factor could create opportunities to leap frogging in selected areas of economic growth and resolution of social problems in the region. Hence, this study examined transforming university knowledge production towards the promotion of inclusive development in Nigeria. This survey design study provided a baseline information for supporting university knowledge-driven inclusive economic growth and equitable income distribution in order to promote inclusive development in the nation. Secondary data from National Bureau of statistics and other data sources were obtained to answer three research questions raised in the study. Using the simple descriptive statistics, results obtained revealed low capacity in university knowledge production which yielded a low Gross Domestic Product (GDP) per capita and low knowledge Economy Index (KEI), but with high inclusive growth in Nigeria. The market-driven inclusive growth resulted in not having specific targets such as employment generation and income distribution. Therefore, it was recommended among others that government should create enhanced social and education environment. This will ensure sustained growth as well as equity/ fairness in income distribution towards the promotion of inclusive development.
Development of a Dynamic Programming Model for Optimizing Production Planning. (Review Completed - Accepted)
Production planning is the backbone of any manufacturing operation, and its main objective is to determine the quantity of products to be produced and inventory level to be carried from one period to the other, with the objective of minimizing the total costs of production and the annual inventory, while at the same time meeting the customers’ demand. A mathematical model was developed for a multi-product problem using Dynamic Programming approach and the solution procedure proposed by Wagner and Whitin was adopted. The model is very useful in solving a problem with multi-stage problem, a particular situation in which there is appreciable variation in average periodic demand and availability of raw materials among the different periods. It also stipulates the minimum quantities of the product to produce per period and the corresponding inventory levels such that total production cost is minimized over the planning periods