| dc.description.abstract | Abstract
Traditionally, employees of environmental companies rely on their experiences to arrange transfer routes, assign transfer vehicles, and manage overall costs for the transfer of construction and demolition materials. Because the processing sites for and amount of these materials differ on a daily basis, it is important to effectively arrange transfer sequences and to appropriately assign vehicles depending on the daily amount. These tasks are performed by relevant workers, whose experiences and abilities often determine the profit and loss of companies. However, scientific methods have not been introduced to perform systematic analyses, comparisons, and evaluations for these tasks. Adopting scientific methods to increase equipment usage and reduce costs has become one of the important contemporary issues.
The scope of this study included transfer cases that were reported daily and the assignment of transfer vehicles. The linear programming optimal model was adopted to identify the optimal transfer routes and assignment of vehicle resources. The results could serve as the basis of decision making, the goal of which is to create the highest transfer profits. In addition, to make the most of workforce and equipment, a sensitivity analysis was conducted on the variation trend of parameter sensitivity to identify the minimum demands for workforce and equipment enough to create the highest profits. Moreover, this study entered the transfer time, transfer costs, and unit costs at various construction sites into Excel and LINGO 8.0 package software to find the solutions to transfer routes and equipment assignment. A simulation test using traditional principles was performed. The results of this test were then compared to those of the proposed optimal model to verify the rationality and practicability of this study. The comparison demonstrated that the assignment results generated by the proposed optimal model were more efficient than manual assignment and could create higher profits. Therefore, the proposed model can be flexibly utilized to solve problems of pre-schedule programming and reviews of vehicle and equipment numbers, and the results can assist decision-makers in precise programming and cost control.
Keywords: construction and demolition material, transfer route, equipment assignment, optimization, integer programming | en_US |