Determining Feasible Solutions of a Multicriteria Assignment Problem.

This paper presents an important research tool in operations research as it applies to a particular structure of the multicriteria 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 of 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

Modeling and Design of a Humanoid Robot by Additive Manufacturing Process

By the year 2030, it is estimated that 800 million workers all over the world could be replaced by robots and this is evident of a robotic revolution happening in healthcare worldwide. This study aims to model and design a humanoid robot with additive manufacturing process. Computer aided design (CAD) models of the selected concepts were developed in Fusion360 and imported into SolidWorks to optimise and improve the design. The first stage of the design focused on the development of the main body and wheelbase, while the second phase focused on the arms and manipulators. To meet the project requirement of a payload of 500 g we selected a tough and low density material with appropriate servo motor with a torque of 9.4 kg/cm at each joint. The parts of the robot were produced by additive manufacturing process with an extrusion technique called fused deposition modelling (FDM) where a continuous filament of thermoplastic material, Polylactic acid (PLA) was fed from a coil via a moving heated extruder head and gradually deposit on the work. Overall, the robot proved that the proposed design is able to achieve the design requirements while mimicking basic human movements

Determining Feasible Solutions of a Multicriteria Assignment Problem

This paper presents an important research tool in operations research as it applies to a particular structure of the multicriteria 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 of 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. @ JASE

Initial assessment of reuse of sustainable wastes for fibreboard production : the case of waste paper and water hyacinth

In this early study, new cement-bonded bi-composite fibreboard (FB) was made from water hyacinth (WaHy) and waste paper (WP). Ordinary Portland cement (PdCe) used as a binder was mixed with other two additives: gypsum plasters (GyPl) and wood ash (WdAh), in defined proportions to form bonding matrices. The WP and WaHy were pre-treated and a linked process was developed for the mixing and consolidation steps. The FBs produced were based on different proportions of composites, binder, and additives mixed. The FBs produced were made from different proportions of composites, binders, and additives. Improved tensile strength was observed for bi-composite FB from WaHy mixed with WP. In general, FBs having densities in the range of 0.50–0.57 g cm−3 were compared favourably with the ASTM and ANSI standards (95%), thus making the FBs a potential alternative for building and construction purposes. More elaborate research with advanced analytical techniques is hereby suggested

Experimental Investigation into the Effects of Al-composite Nanolubricants on the Energy and Exergy Performance of Vapour Compression Refrigerator Compressor

Nanofluids played significant role in enhancing the thermophysical properties of a refrigerant which can lead to an improved performance of the refrigerator compressor. This study investigated the performances of four Aluminium based nanolubricants in a vapour compression refrigeration compressor system. Various tests which include evaluation of the thermophysical properties and the determination of thermodynamic parameters such as exergy, power consumption, cooling load and coefficient of performance of the refrigerator compressor system were carried out. The outcome showed that the nanoparticles influenced greatly the thermophysical properties of the base oil (Capella D) and improved its thermodynamic properties. All the nanolubricants showed improved better results in terms of thermal conductivity and salinity, depicting better heat transfer and thermal capacity. Also, the results of the viscosity tests showed that the nanolubricants have lower values than the conventional base oil, indicating good pumping ability of the compressor and lower energy consumption. In addition, the results of exergy analyses reveal that most of the nanofluids systems generally showed better performance with higher values. It thus can be concluded that the nanofluids systems seem to provide better compressor/refrigerator working fluid alternative with careful selection

Optimisation of Diesel Polluted Soil Using Response Surface Methodology

This research is based on the investigation of the bioremediation of diesel polluted soil using biostimulation strategy. The study was carried out on a diesel contaminated soil and concentrations: Tween 80 (5-15ml), Poultry droppings (20-60g), Hydrogen Peroxide (0.5-1.5ml) were added and incubated for 28 days of remediation period. Response Surface Methodology with Box-Behnken Design (BBD) was used with three factors and three levels of Tween 80, Poultry droppings and Hydrogen Peroxide as independent variables while diesel oil (Total Petroleum Hydrocarbon) removal was the dependent variable (response). The result showed disparities in the diesel oil biodegradation pattern with respect to Tween 80, Poultry droppings and Hydrogen Peroxide. The statistical analysis, via ANOVA showed coefficient of determination R2 to be 99.89% and P < 0.05. The predicted optimum parameter of Tween 80: 10.10ml, Poultry droppings: 41.46g and Hydrogen Peroxide: 1.10ml were gotten while 56.565% was gotten as the optimal diesel oil removal. At this optimum condition, the observed diesel oil removal was found to be 56.568%. It can be concluded that bioremediation of diesel-contaminated soil resulted in petroleum hydrocarbon degradation

INVESTIGATION FOR OPTIMAL INHIBITION EFFICIENCY AGAINST MILD-CARBON STEEL CORRRSIONIN0.1 M ACIDIC MEDIA USING CASHEW EXTRACT

Corrosion is an everyday challenge in all sectors of the economy particularly the manufacturing industry and this has led to massive economic loss. Literature is sparse on optimal Inhibition efficiency from Hydrochloric acid (HCl) and Tetra-oxo-sulphate (vi) Acid (H2SO4). The aim and objective of this research is to observe optimal Inhibition Efficiency from acidic media using cashew extracts as eco-friendly corrosion inhibitor. 0.1M of HCl and H2SO4 of 0.1M were used for the cashew extract in this research. Mild carbon steel with thickness 0.1 cm was used. It was cut into various coupons of dimensions 4 x 5 x 0.1 cm. The cashew waste extract produced was used as a corrosion inhibitor on mild carbon steel in 0.1M of HCl and H2SO4. It was observed that as the concentration of inhibitor increases, the inhibitor efficiency also increases. The optimal inhibition efficiency observed in HCl was 80.5% while 83.7% was in H2SO4. After 336 hours of test, it was concluded that H2SO4 is a better acidic medium

Manpower Planning Using Decision Analysis: Case of Crown Company

ABSTRACT This study addresses the analytic approach to decision making and its application to manpower planning in the crown section of a bottling company in Nigeria. The company produces crowns for several bottling companies and was faced with the challenge of meeting customer&apos;s demand, which varied from month to month. A work sampling technique was used to investigate the discrepancy between the level of the work force and their output. The result of the work sampling study showed that all of the departments were overstaffed with idle time and that overtime, rather than additional shifts, would reduce manpower cost. The results have been applied to the management policies that can be employed to meet increasing short term demand

Determining Feasible Solutions of a Multicriteria Assignment Problem

This paper presents an important research tool in operations research as it applies to a particular structure of the multicriteria 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 of 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. @ JASE

amorphous silica extracted from rice husk 1

Abstract: In this research, Response Surface Methodology (RSM) was used to optimise the effect of three controllable input variables. To study the proposed second-order polynomial model for maximising Amorphous silica, a Central Composite Design (CCD) was used to estimation the model coefficients of the three input factors, which are alleged to influence the amorphous silica production process. The response is modelled using RSM on experimental data. The significant coefficients are obtained by performing Analysis of Variance (ANOVA) at 5 % level of significance. It was observed that time of combustion at 3h, had significant effect on the maximising amorphous silica production. The model sufficiency is very satisfactory as the Coefficient of Determination (R 2) is found to be a87.91 % and adjusted R 2-statistic (R2 adj) is 75.82%