Assessment of decision-making factors affecting dump truck allotment: An artificial neural network approach

• Main Authors: Alimon, Catherine P., Lumanlan, Raymund Francis D., Macabagdal, Jommel R.
• Format: text
• Language: English
• Published: Animo Repository 2007
• Subjects: Dump truck; Dumping appliances; Service stations; Petroleum industry and trade; Civil Engineering
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/10788
• Institution: De La Salle University

This study deals with the assessment of decision making factors affecting dump truck allotment in the construction of gasoline service stations in the Philippines. Such factors considered in this study were the following: (a) location of project site, (b) project duration, (c) distance of the source materials (such as soil) from the the project site (d) volume of backfill, (e) depth of backfill, and (f) total project lot area. Upon conducting data gathering, the group came to a conclusion that the most significant decision making factors among those mentioned above were the volume of backfill and distance of source materials from project site. Moreover, throughout the course of the study, the group also found out that there are actually two methods of site development processes affecting dump truck allotment the Gradual and Rapid methods from which the factor of project duration is taken into account. The group utilized the MATLAB software, particularly of the supervised network approach in ANN analysis using the Learning Vector Quantization (LVQ) technique. This was performed in order to recognize patterns among the volume of backfill and distance of source materials so as to arrive with the best pattern-based mathematical models for each method.