DEPARTMENT OF INDUSTRIAL AND PRODUCTION ENGINEERING
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Item An integer linear programming model of a university course timetabling problem(Akamai University, Hilo, HI, USA, 2008) Oladokun, V. O.; Badmus, S. O.In this study, the combinatorial problem of university course timetabling of an Engineering Faculty of a Nigerian university (the University of Ibadan) was addressed. The problem of assigning lecturers, rooms, and courses to fixed timeslots, normally, a week, while satisfying a number of problem-specific constraints was modeled as an Integer Linear Programming (ILP). The problem constraints have been divided into hard constraints and soft constraints. While the hard constraints constitute the problem constraints, the minimization of the violation of the soft constraints constitutes the objective function. Being an NP-Hard problem, a heuristic was developed and implemented manually. Ten (10) solutions were generated manually from 10 runs with the newly developed search technique. An analysis of the performance of the solutions shows that the proposed heuristic is promising.Item Small scale production of auto-battery in Nigeria:an engineering economic model.(2009) Oladokun, V. O.; Adekunle, D. O."This work is aimed at determining the feasibility of manufacturing automobile batteries on a small scale Level. It involves an economic evaluation directed at the typical 12V, 60Ah car battery. A process analysis was done with a view to determining the scalability of the processes. A review of relevant literature gives insights on the product structure and workings, material interactions, process requirements and the various manufacturing strategies and their respective benefits The process is designed with a bias for outsourcing, a growing trend in the direction of specialization and agile product development. Thus, the process is designed for assembly as a parallel/flow line hybrid work system. Next, economic models are developed to assess costs, profit, revenue and optimal production volume. Also, breakeven and Payback Period models are developed for determining the viability of the venture.It was found that with 11 workers, the facility yields up to 1173 units of car battery per month. This requires an initial capital investment of N1, 132,160. At an initial price of N 5,500, the product is expected to generate monthly revenue of N6,450,830 at full running capacity. Thus, a profit margin of N 3,015,340 was obtained, amounting to 46.7% of total revenue. Breakeven occurs at a demand of 121 units, which is 10.3% of the monthly production capacity. This study shows the potentials and entrepreneurial opportunities of investing in the small scale manufacture of engineering products. "Item Predicting students academic performance using artificial neural network: a case study of an engineering course(Akamai University, Hilo, HI, USA, 2008) Oladokun, V. O.; Adebanjo, A. T.; Charles-Owaba, O. E."The observed poor quality of graduates of some Nigerian Universities in recent times has been partly traced to inadequacies of the National University Admission Examination System. In this study an Artificial Neural Network (ANN) model for predicting the likely performance of a candidate being considered for admission into the university was developed and tested. Various factors that may likely influence the performance of a student were identified. Such factors as ordinary level subjects' scores and subjects' combination, matriculation examination scores, age on admission, parental background, types and location of secondary school attended and gender, among others, were then used as input variables for the ANN model. A model based on the Multilayer Perception Topology was developed and trained using data spanning five generations of graduates from an Engineering Department of University of Ibadan, Nigeria's first University. Test data evaluation shows that the ANN model is able to correctly predict the performance of more than 70% of prospective students. "Item A subtour-free set-sequencing algorithm based computer software for solving the machine set-up problem(2007) Charles-owaba, O. E.; Oladokun, V. O.The machine set-up problem (MSP) is that of determining an optimal sequence that a set of N operations will be performed by a general- purpose facility. In order to minimize tile total cost/time of re-setting the facility. Though the MSP is experienced in many small scale industrial situations many of the existing algorithm are programmed to run on super computers or massively parallel computer processors which are often not available for small scale industrial environment in developing economies. In this study a Subtour-free Set Sequencing Algorithm based software for solving real life medium size machine set-up problem on personal computers was developed and tested The computational time curve exhibited a polynomial growth for the range of problems solved and the solution system was shown to be practicableItem An ergonomic and safty evaluation of footwear used by male industrial workers in Nigeria: a case study(Besade Pub. Press, 2007) Oladokun, V. O.; Onwusika, N. I.This study focuses on footwear used by Nigerian industrial workers. The suitability and comfort ability of these shoes used in a typical Nigerian factory were assessed based on their response to some well-structured questionnaire. Some important features of the shoes were compared with internationally recommended standards. The result shows that 62% of the respondents' shoes are suitable. These are mostly shoes that are light weight, low heeled made of leather material and steel toed, though some of them are not steel toed. When compared with the standard features and characteristics, it is observed that about 60% complies with the Internationally accepted standards of EN 345, EN 346 and EN347 for safety shoes, protective shoes and work shoes respectively.Item Improving capacity utilization through material handling automation: a case study of a food processing plant.(Besade Pub. Press in assocaition with the Nigerian Institute of Engineering Management, 2004) Oladokun, V. O.; Eze, A. IThis study is about the use of automated material handling system to eliminate bottlenecks on production line in order to achieve higher system capacity utilization. It was applied to the milling plant of a food processing company. Detailed study of the milling plant work system's parameters was carried out to give a basis for the selection of a suitable new transfer system. Facility layout analysis to determine floor space requirement as well as work system design analysis and cost/ benefits analysts were also used. A pneumatic conveyor system has been designed to replace manual handling in a critical portion of the flow line. Costs and benefits analysis indicate that an overall increase qf 30% in revenue at a cost of 8.4% increase in input resources is achievable if the proposed subsystem is installed. Productivity will also increase by 29% by the proposed automation.Item An application of artificial neural network to maintenance management(2006) Oladokun, V. O.; Charles-Owaba, O. E.; Nwaozuru, C. S.This study shows the usefulness of Artificial Neural Network (ANN) in maintenance planning and management. An ANN model based on the multi-layer perception having three hidden layers and four processing elements per layer was built to predict the expected downtime resulting from a breakdown or a maintenance activity. The model achieved an accuracy of over 70% in predicting the expected downtime.Item Optimizing investments' cash flow: a scheduling approach.(Besade Pub. Press in assocaition with the Nigerian Institute of Engineering Management, 2003) Oladokun, V. O.In this paper, the problem of optimising cash flow so as to enhance the financial feasibility of a multipart project is considered. The problem has been modelled as a single machine scheduling problem. Several sectors of the Nigerian economy where this problem is encountered are also discussed. A real life problem was solved on a PC using an electronic spreadsheet.Item A set of sequencing heuristic and the computer code for the TSP.(1999) Charles-Owaba, O. E.; Oladokun, V. O.This paper proposes a set sequencing heuristic solution for the travelling salesman problem (TSP). It attempts to first select, preferably a set of M smallest elements of the TSP matrix and then form a sequence. A computer code of the procedure was developed in Fortran 77 and used to examine its efficiency and relative effectiveness. It was found to be as effective as, but more efficient than the best of the nearest neighbour heuristics.