This research applies Project Evaluation and Review Technique (PERT) model to estimate acceptable duration for execution of each activity having random variable of time and some probability distribution for sand dredging operation in Niger Delta. The study takes into account proper planning, scheduling, controlling and allotment of dredging activities time using a project network model PERT. The model evaluated how acceptable time and saving cost could be achieved in a scenario of activities having random time variables. Readily available data of activities time from 2014 – 2017 were used to analyze the time estimate for various activities at a selected dredge site Aleto-Eleme in Port Harcourt metropolis Rivers State-Nigeria. The PERT was applied for the data analysis, to construct the PERT scheme for the dredging operations. Finally, parametric control for project evaluation and review techniques of acceptable time for the dredging activities were determined.
This research applies Project Evaluation and Review Technique (PERT) model to estimate acceptable duration for execution of each activity having random variable of time and some probability distribution for sand dredging operation in Niger Delta. The study takes into account proper planning, scheduling, controlling and allotment of dredging activities time using a project network model PERT. The model evaluated how acceptable time and saving cost could be achieved in a scenario of activities having random time variables. Readily available data of activities time from 2014 – 2017 were used to analyze the time estimate for various activities at a selected dredge site Aleto-Eleme in Port Harcourt metropolis Rivers State-Nigeria. The PERT was applied for the data analysis, to construct the PERT scheme for the dredging operations. Finally, parametric control for project evaluation and review techniques of acceptable time for the dredging activities were determined.
In welding materials, the purpose is to resist the variation of the microstructure of the material and retain the mechanical properties and the chemical properties. Most welded joint fail due to the utilization of poor welding process. This poor welding process produces a minimum heat input that could cause insufficient melting of the electrode, insufficient melting of the electrode is responsible for inadequate penetration of liquid metal into the welded joint. Literature has shown that produced welded joints by insufficient penetration of the liquid metal have low bearing capacity. This indicates that such welded joints would not be able to sustain the design load. In order to achieve deep liquid metal penetration, optimizing and prediction of heat input of mild steel weldment, utilizing genetic algorithm is studied. The purpose of this study therefore is to develop models that would minimize the heat input. Genetic Algorithm which imitates the evolution progression and functions on the principle of the natural theory choice with evolution was utilized for the result analysis. It was shown as a result that combination of welding time 79.15 sec current of 239.03 A welding speed of 56.59 mm/s voltage of 29.87 v feed rate of 130 mm/s will produce optimal heat input of 117.30 KJ
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