Procedural Steps for Effective Delivery, Installation and Commissioning of Drilling Machine
I. E. Elemure, Akinnuli B. O, I. A. Daniyan and A. O. Adeodu
Corresponding Author : A. O. Adeodu,
Department of Mechanical & Mechatronics Engineering, Afe Babalola University, Ado-Ekiti, Nigeria.
Email ID : firstname.lastname@example.org
Received : 2014-02-02 Accepted : 2014-03-31 Published : 2014-03-31
Abstract : Effective delivery and installation is important after proper selection of the machine tool in guaranteeing optimum performance of equipment while reducing fatalities. Besides, it ensures production starts off in the smoothest and most judicious way. In this study, drilling machine from the Central Workshop, College of Engineering, Afe Babalola University, Ado-Ekiti, Nigeria was used as a case study. Critical activities for effective installation and commissioning of the drilling machine were identified. The application and analysis of Critical Path Method (CPM) was employed in determining the values of Latest Start Time (LST), Earliest Start Time (EST), Processing Time (PT), Completion Time (CT) and float. The values were iteratively trained in a MATLAB R2010 environment with adequate Artificial Neural Network (ANN) using Marquardt Algorithm. The simulation results obtained were found to be very close compared to values obtained by manual calculations hence confirming conclusively that the model is a viable and predictive tool for effective machine delivery, commissioning and installation. The applications of the model is useful in machine delivery and installations in industries to ensure due dates are met while reducing tardiness.
Keywords : Artificial Neural Network, Completion time, Critical Path, Due Dates and Simulation Model
Citation : A. O. Adeodu et al.,(2015) A. O. Adeodu etal. (2015). Procedural Steps for Effective Delivery, Installation and Commissioning of Drilling Machine. J. of Advancement in Engineering and Technology. V2I4. DOI : 10.5281/zenodo.1000340
Copyright : © 2015 A. O. Adeodu. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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