DEPARTMENT OF INDUSTRIAL AND PRODUCTION ENGINEERING
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Item Comparison of compromise constraint bi-objective LP method and three traditional weighted criteria methods(Department of Industrial and Production Engineering, University of Ibadan, 2020) Adeyeye, A. D.; Arise, O. T.; Charles-Owaba, O. E.Item Goal programming model for production planning in a toothpaste factory(South African Institute of Industrial Engineers (SAIIE), 2008) Adeyeye, A. D.; Charles-Owaba, O. E.The GP model was developed for production planning in a toothpaste factory. Two objectives were distinguished: minimization of processing cost, and maximization of the capacity utilization of production facilities. Two priority structures were used to explore the trade-off options. When processing cost minimization was assigned the first priority, the utilizations of Processing Plant 1 and Filling Machine 2 were 20.32% and 0.18% respectively. When capacity utilization was assigned first priority, the processing cost increased by 7.55% but capacity utilization improved. The least utilized facility was Filling Machine 1 with a utilization of 43.85%.Item A bicriteria model for production planning in a toothpaste factory(International Knowledge Sharing Platform(IISTE), 2012) Adeyeye, A. D; Charles-Owaba, O. E.This paper presents a bicriteria formulation of the material allocation to production facilities problem. The system under consideration is a toothpaste factory. Two objectives of the factory were identified, namely; (i) Minimization of the total sum of processing costs (ii) Maximization of the capacity utilization of production facilities. Linear Combination of Objective Functions (LCOF) method was used to solve the problem for the situation where the objectives were of equal importance. The solutions were compared to that of goal programming (GP) and they were found to be identical. The least utilized production facility was processing plant 1 with utilization of 20.32% followed by filling machine 1 with utilization of 43.85%. All the other production facilities were operated at 100% capacity. For LCOF, one problem was solved to obtain the solution while in the case of GP three problems were solved. LCOF is superior to GP in terms of simplicity and time savings.Item Application and comparison of three multiobjective linear programming methods(International Knowledge Sharing Platform(IISTE), 2011) Adeyeye, A. D; Charles-Owaba, O. E.A biobjective production planning problem was modelled using the Compromise Constraint Biobjective LP (CCBLP) method, the traditional Weighted-sum Scalarization (WSS) and Non-preemptive Goal Programming (NGP) approaches. Various preference indices were used to explore the tradeoff options and the L1 distance metric was used to determine the best compromise solution and the appropriate preference indices. The solution of CCBLP was the closest to the ideal solution with L1 metric of 0.326 and corresponding preference indices of W1 = 0.25, W2 = 0.75. Comparison of the results showed that the CCBLP is more sensitive to changes in preference indices than the WSS and NGP methods and hence it is more useful in helping the decision maker to make intelligent tradeoff decisionsItem Manufacture of abrasive grinding wheel using silicon carbide abrasive materials(2010-04) Odior, A. O.; Oyawale, F. A.; Charles-Owaba, O. E.; Akpobi, J. A.Abrasive materials are materials of extreme hardness that are used to shape other materials by a grinding or abrading action and they are used either as loose grains, as grinding wheels, or as coatings on cloth or paper. A grinding wheel is made of very small, sharp and hard silicon carbide abrasive particles or grits held together by strong porous bond. The manufacture of silicon carbide abrasives and grinding wheel in Nigeria has been severely impeded by the difficulty of identifying suitable local raw materials and the associated local formulation for abrasives and grinding wheel with global quality standards. This paper presents a study on the formulation and manufacture of abrasive grinding wheel using silicon carbide abrasive grains in Nigeria. Six local raw material substitutes were identified through pilot study and with the initial mix of the identified materials, a systematic search for an optimal formulation of silicon carbide, the intermediate product, was conducted using the Taguchi method. The mixture was fired in a furnace to 1800°C for 6 hours forming silicon carbide chunks, which were crushed and sieved into coarse and fine grades of abrasive grains. Combining each grade with appropriate proportion of latex binder to form paste in a compressed mould cavity of desired shape and size, coarse and fine grinding wheels of international standard were produced.Item Harmonious song-list generation: anapplication of the sequence dependent machine set up time problem model(International Research Publication House, 2011) Oladokun, V. O.; Charles-Owaba, O. E.; Nzeribe, T. M. C.Song- list generation, a crucial component of m us IC information retrieval system. has been carried out based on users experiences and bias with no quantitative method to guarantee the generation and repeatability of harmonious arrangements. In this study, the problem of generating harmonious song-list has been modelled as a Single Machine Set-up Problem (MSP) and solution software developed. Music factors that affect user perception and cognition of a smooth transition were identified through interview of experts and literature search. These factors were transformed into suitable quantitative scale for calibration. Thirty (30) Nigerian songs were selected for analysis. A cost matrix was developed for the songs. A MSP Solution algorithm, the Set-sequencing Solution Algorithm (SSA) was adopted as the solution procedure. An interactive version of the SSA was developed using the VB.NET. Using randomly generated song-lists as input sequences into the software. new song-list was generated and compared to the input sequence. An improvement on total song list harmony of about 57% was obtained using the MSP on thirty (30) songs. The software was seen to be user friendly. It is concluded that the new software is a useful tool for church worship and the entertainment industry in general.Item Determining feasible solutions of a multicriteria assignment problem(World bank assisted National Agricultural Research Project (NARP)- University of Port Harcourt, 2010-03) Odior, A. O.; Charles-Owaba, O. E.; Oyawale, F. A.This paper presents an important research tool in operations research as it applies to a particular structure of the mullicritcria assignment problem. The paper addresses the problem of effectiveness of feasible solutions of a multicriteria assignment problem and this was done in two steps. In the first step, we determine whether or not a given feasible solution or a multicriteria assignment problem is a real efficient one. In the second step, if the feasible solution is not real efficient, we provide a real efficient solution that dominates that not real efficient solution, using our proposed method which consists of transforming the original problem into an assignment problem.Item A neuro-fuzzy linguistic approach to experimental parameters with silicon carbide grinding wheel(Nigerian Institution of Production Engineers, 2010-04) Odior, A. O.; Oyawale, F. A.; Charles-Owaba, O. E.The paper presents a control system for grinding process using fuzzy rule-based model for estimating the grinding conditions at which wheel wears occur. The grinding parameters include circumferential speed of a grinding segment workpiece velocity and work depth of cut using silicon carbride grinding wheels. There was a wide range of applications over many types of mild steel materials and variious wheel wear values were records for predicting the grinding conditions. Grinding wheels with various wheel hardness grades ranging from soft (H grade) to hard (R grade) and wide range of grit sizes, ranging from coarse to fine.Item Application of time study model in a rice milling firm: a case study(RIP Research India Publication, 2010) Odior, A. O.; Charles-Owaba, O. E.; Oyawale, F. A.This paper presents a case study in the development and application of a time study model in a rice milling firm. Rice milling is a process whereby the rice grain is transformed into a form suitable for human consumption and it has to be done with utmost care to prevent breakage of the kernel and improve the recovery. Rice is a very important nutritional diet for over half the world's population and as a result rice milling firm has occupied a significant position in small, medium and large scale enterprises of many nations. The study reveals that the time it takes to mill a 50 kilograms bag of rice is directly proportional to the number of production stages involved and the time spent at each of these production stages. This time is being represented by some structural equations which are characteristics of the rice milling firm being studiedItem 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. "