Browsing by Author "Odior, A. O."

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An algorithm for job scheduling in 2 - machine flow shop problem
(2009) Odior, A. O.; Oyawale, F. A.
This paper considers the problem of scheduling in flow-shop by Johnson's Algorithm method and Genetic Algorithm method to find an optimal sequence for n jobs machine problem based on minimum elapsed time. In scheduling the two machine flow shop problem F2||∑C1, one has to determine a schedule that minimizes the sum of finishing times of an arbitrary number of jobs that need to be executed on two machines, such that each job must complete processing on machine 1 before starting on machine 2. We propose a heuristic for approximating the solution for the F2||∑C1 problem using a genetic algorithm.
Application of a neurofuzzy mathematical model in the development of a local oven design
(Tapas Institute of Scientific Research and Development, 2009-12) Odior, A. O.; Oyawale, F. A.; Charles-Owaba, O. E.
This paper presents a contribution on the development of a neurofuzzy mathematical model that aids in capturing and analyzing the various parameters in oven design. The oven was designed specifically for domestic and commercial baking operations. The neurofuzzy methodology was used to regulate the oven baking temperatures to acceptable standards. Particular use was made of neurofuzzy model since it is an improvement on the process design. The work was motivated by the need for a more reliable and easily understandable methodology that guides decision makers in making correct decisions in a timely manner. The results obtained demonstrated that it is feasible to apply the model in practice.
Application of job scheduling in small scale rice milling firm
(Asian Reserch Publishing Network(ARPN), 2010-01) Odior, A. O.; Charles-Owaba, O. E.; Oyawale, F. A.
Rice is the edible seed of a plant which is a member of the grass family. It is an annual plant which is grown in many countries throughout the world and is the staple diet for over half the world's population. Rice milling firm has therefore occupied a significant position in the small,medium and large scale enterprises of many nations. In application of job scheduling in rice milling activities a framework for proper scheduling of activities (jobs) in rice milling processing firm in Nigeria has been developed. The methodology addresses this problem by supposing we have (n) customers to be served (where n is large); in what way should customers' order be processed such that the firm's profit is maximized while the customers are not unnecessarily delayed? The problem is addressed by using makespan as a measure of performance while the job orders were sequentially scheduled according to order of priority to achieve optimum results. The results show that CDS and A1 heuristics are preferred to the traditional method or USO. Accordingly, the CDS heuristic followed by A1 heuristic gives the best makespan result.
Application of mathematical model to job scheduling in an oil processing firm in Nigeria
(Science Hub, 2010) Odior, A. O.; Oyawale, F. A.
The job scheduling mathematical model was applied to small scale oil winning processing in this paper with a view to develop a framework for the proper scheduling of jobs (orders) in oil winning processing firm in Nigeria. The problem is addressed by supposing we have (n) customers to be served (where n is large) in what way should customers' older be processed such that the firm's profit is maximized while the customers are not unnecessarily delayed? The paper addressed the problem by using makespan as a measure of performance while the job orders were sequentially scheduled according to order of priority to achieve optimum results. The mean makespan for the CDS heuristic is 35.99, for Al is 36.08 while for the usual traditional serial order (USO) method is 40.91. The average gain with the application of CDS heuristic is 4.962 and for AI is 4.912.The results show that CDS and A1 heuristics are preferred to the usual method of USO. Accordingly, the CDS heuristic followed by A1 heuristic, gives the best makes pan results
Application of mathematical model to optimization of the production capacity of paint manufacturing company
(Spring, 2008) Odior, A. O.; Oyawale, F. A.
This paper presents a case study in the development and application of a mathematical model to optimize the production capacity of a paint manufacturing company. The organization specializes in the production of different grades of paint and paint containers. The paint production activities include; weighing of raw materials, drying of raw materials, dissolving of raw materials, materials filtering, material string, product inspection and quality control and product packaging.The processes in paint container production comprise of cutting of sheet metal, sheet metal rolling, sheet metal pressing for overlapping hook, cutting of top cover, cutting of bottom cover, coiling of sheet metal to shape, and pressing bottom cover to position. The study reveals that the time it takes to produce a unit product 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 system being studied.
Application of mathematical model to the production capacity of a yam flour producing company
(RIP Research India Publication, 2009) Odior, A. O.; Oyawale, F. A.; Orsarh, E. S.
Yam flour is usually required for the preparation of pounded yam which is a daily nutritional food requirement for most Africans. It facilitates the preparation of pounded yam for both domestic and commercial consumption. The production process and the basic operations involved in the production of pounded yam flour have been investigated in other to estimate the production capacity of the company studied. A time study model was developed and applied to analyze the various basic operations involved in the production of pounded yam flour.These basic operations include; the selection of yam, weighing of yam, washing of yam, peeling of yam, slicing of yam with a slicing machine, parboiling of sliced yam with a parboiler, drying of parboiled yam with a dryer, milling of dried yam into yam flour with a hammer mill, packaging of the yam flour and sealing of the packages with a sealing machine. In this paper therefore, a mathematical model was developed with the application of different techniques of differential calculus to the component elements of the production process of yam flour. The study reveals that the time it takes to produce some kilogram unit of pounded yam flour 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 system being studied
Application of neuro- fuzzy to component elements of a grinding wheel
(RIP Research India Publication, 2008) Odior, A. O.; Oyawale, F. A.
The grinding wheel is made of very small sharp and hard silicon carbide abrasive particles or grits held together by strong porous bond. These silicon carbide abrasive particles are hard crystalline materials which are held together by the strong, porous bond and these abrasive materials which are of extreme hardness are used to shape other materials by a grinding or abrading action. The paper presents, an analysis of the various component elements of a typical grinding wheel using neuro- fuzzy technique. Among these component elements we have, the size of the grains and its spacing, volumetric proportion of grains, volumetric proportion of bonding material and volumetric proportion of pores. However, the work is new as it appears to be the first application of neuro- fuzzy to component elements of a grinding wheel.
Application of Neuro- Fuzzy to palm oil production process
(Nigerian Association of Mathimatical physics, 2009-11) Odior, A. O.; Fadare, D. A.
Palm oil is an important nutritional food requirement and in order to facilitate the production of palm oil for consumption, the production process of palm oil has been investigated. The basic operations involved in the production of edible palm oil include; purchase, transportation and reception of oil palm bunches; bunch threshing and fruit fermentation; sorting and weighing of oil palm fruits; boiling, digestion and pressing of palm oil fruits; clarification and drying of palm oil and palm oil storage. A Neuro-Fuzzy model was used to analyze the performance of palm oil production process as it affects the basic operations involved in the production of edible palm oil. The research work can be applied to any other small or medium scale production firm for better efficiency.
Application of neuro-fuzzy models to grinding wheel parameters
(Research India Publications, 2010) Odior, A. O.; Oyawale, F. A.
Grinding is one of the most important finishing operations and it is very useful in our automobile industries. A grinding wheel is made of very small, sharp and hard abrasive particles or grits held together by strong porous bond. The paper presents, a control system for grinding process using neuro-fuzzy technique. The grinding parameters include circumferential speed of a grinding segment workpiece velocity and work depth of cut. The maximum grinding temperature is very important since too high temperature will lead to surface burns and thermal damage to the grinding wheel as well as the workpiece material. For fuzzy modeling, all the numerical values are replaced with linguistic values. The research work can be applied to any other grinding process, whether it is a wet or dry grinding process.
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 studied
An approach for solving Iinear fractional programming problems
(An approach for solving Iinear fractional programming problems, 2009-05) Odior, A. O.; Oyawale, F. A.
Linear fractional programming problems are useful tools in production planning, financial and corporate planning, health care and hospital planning and as such have attracted considerable research interest. The paper presents a new approach for solving a fractional linear programming problem in which the objective function is a linear fractional function, while the constraint functions are in the form of linear inequalities. The approach adopted is based mainly upon solving the problem algebraically using the concept of duality and partial fractions and an example is given to clarify the developed method.
An assignment problem for n machines and m operators
(Nigerian Assocation of Mathematical Physics, 2010-11) Odior, A. O.; Oyawale, F. A.
The assignment problem is a special type of linear programming problem which is concerned with allocating in operators (men) to n machines (tasks) given that each operator is qualified for certain of the tasks. The output from each task is given as a function of the number of qualified men assigned to it. The assignment model is to be solved by conventional linear programming approach or transportation model approach. It is a square matrix, having equal number of rows and columns. It enables the assignment of men to task and the objective is to assign one man from row to one task from column so as to maximize total output and minimize the total cost.
Design and fabrication of a water distiller
(Scholarlink Research Institute, 2010) Oyawale, F. A.; Odior, A. O.; Ismaila, M. M.
The objective of this project is to design and fabricate a low cost water distiller capable of producing water that is pure in all ramifications for domestic and commercial consumers. The critical components of the distiller are made of stainless steel. These parts include the tank, the lid/condenser and the distilled water collector. Selection of material used is based on both their physical and chemical properties. The tank has a square base and the opening end of the tank is slanted. This will make the condensate to trickle downward for collection at the end of the lid. The lid is continuously cooled by water at room temperature that runs from a tap. The distiller is able to produce 29.4 x 10-3 litres (29.4 ml) of distilled water in 10 minutes. Once the water is boiled, the heater can be switched off and continuous cooling of the condenser/lid could last 30 minutes. The volume of water produced is approximately 105.3ml. Distillation continues until the temperature drops to room temperature i.e. 25°C by which time, the volume of distilled water will drop since the production of steam will decrease due to the drop in temperature of water in the tank. The water distiller is designed and fabricated from locally sourced materials and this makes it cheap and affordable to the common man in our society.
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.
Development of safety fuse plugs for use in the oil industry
(Scholarlink Research Institute, 2011) Odior, A. O.; Oyawale, F. A.; Adeyemi, A. J.
The safety plugs presently used on our equipment in the Nigerian industries are wholly imported. This research is aimed therefore at developing safety fuse plugs, using locally available materials that will compare favourably with the imported safety fuse plugs. Minerals from various mining sites in the country and laboratory samples were collected. Beneficiation processes were carried out on samples using foundry equipments which included electric furnace, tongs, and crucibles. Impure and beneficiated samples were mixed at various eutectic compositions to determine the effective mix that would meet specific temperature blowouts. A comparative test was carried out on imported and the developed samples. It was observed that there was no significant difference in the performances using the x2 test at p = 0.05. It was also discovered that the presence of impurities also affected the composition of the alloy as reflected by the ANOVA conducted on the different samples produced.
A genetic algorithm for flow shop scheduling problem
(2010-04) Odior, A. O.; Oyawale, F. A.; Orsarh, E. S.
This paper considers the problem of scheduling in flow-shop by Johnson's Algorithm method and Genetic Algorithm method to find an optimal sequence for n jobs m-machine based on minimum elapsed time. It has been shown that the method for finding an optimal sequence for n jobs, m-machine based on minimum make span using genetic algorithm provides a better result.
Manufacture of abrasive grains from locally sourced raw materials in Nigeria
(Scholarlink Research Institute, 2010) Odior, A. O.; Oyawale, F. A.
The manufacture of abrasive grains in Nigeria has been severely impeded by the difficulty of identifying suitable local raw materials and the associated local formulation for abrasives with global quality standards. This paper presents study on the formulation and manufacture of silicon carbide abrasives using locally sourced raw materials in Nigeria. Five 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 abrasive grains was conducted. The mixture was fired in a furnace to 1600⁰C for 6 hours forming silicon carbide chunks which were crushed and sieved into coarse and fine grades of abrasive grains of international standard
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.
Neuro - Puzzy Analysis for Silicon Carbide:Abrasive Grains Production
(2010-06) 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 or a grinding segment workpiece velocity and work depth of cut using silicon carbide grinding wheels. There was a wide range of applications over many types of mild steel materials and various wheel wear values were recorded 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.
A neuro-fuzzy approach to grinding process control
(2008) Odior, A. O.; Oyawale, F. A.
Grinding is one of the most important finishing operations and it is very useful in our automobile industries. The paper presents a control system for grinding process using neuro-fuzzy technique. The maximum grinding temperature is very important since too high temperature will lead to surface burns and thermal damage to the grinding wheel as well as the workpiece material. Neuro-fuzzy model was used to analyze the grinding wheel performance index as it affects the general grinding operations of the grinding process. The research work can be applied to any other grinding process, whether it is a wet or dry grinding process. However, the work is new as it appears to be the first application of neuro-tuzzy grinding operations.