4/29/2023 0 Comments Breakwaters release date pc![]() ![]() The data fitting was carried out using commercially available software to generate the probability distribution functions used in the simulation software “Extend V.6”. The automated classification is applied through a spreadsheet application that classifies GPS data and identifies, accordingly, durations of different activities in each cycle using spatial coordinates and directions captured by GPS and recorded on its receiver. This was carried out by automated classification, data fitting, and computer simulation. The variations in the captured cycle times were used to model the uncertainty associated with the operation involved. A GPS device is mounted on a hauling unit to capture the spatial data along designated hauling roads for the project. The developed method utilizes Global Positioning System (GPS) and Google Earth to extract the data needed to perform the estimation process. This paper presents an automated method for estimating productivity of earthmoving operations in near-real-time. ![]() The study also includes a sensitivity analysis for the resources acquired in tunnelling operations. A regression model is developed to generate a formula to predict the productivity (advance rate) based on consumption bits. Productivity is calculated as 0.44 lm/hr for the Road-header used in Henri-Bourassa direction against 0.48 (actual) while it is 0.64 lm/hr for the Road-header used in Cartier direction against 0.7 (actual). The results show that the predicted productivity by both simulation models gives close results to the actual. The collected data represent actual time duration for the tunnelling operations (drilling, changing bits, maintenance, scaling, and wire mesh installation) of each Road-header. Two Road-headers are used to excavate 1.2 km tunnelling project starting Henri-Bourassa Station to Cartier station in Montreal, Quebec, Canada. This paper presents a simulation model for estimating a (Voest-Alpine) Road-header productivity using both MicroCYCLONE and EZSROPE Software. It will assist decision makers to predict productivity and to control time, cost, and resources. Simulation can be used to study tunnelling operations using Road-headers before they are actually performed. Accurate and reliable productivity prediction for the selected machinery is required for time and resource scheduling, and hence estimating the budget of any tunnelling project. ![]() It can excavate smoothly various sizes, shapes, and types of tunnel openings. Road-header is flexible, very mobile, safe, and environmentally friendly machinery. Mechanical excavation of tunnels using Road-header is getting widespread and popular due to their capability of excavating precisely soft to medium strength rock without weakening the surrounding rock. Simulation results indicate an improvement in the productivity rate combined with the unit cost savings using yard truck double cycling comparing to the standard single cycle operation. Simulation is used to test the efficiency of the proposed strategy. The strategy is based on combining the efforts of two quay cranes (loading and unloading) to work as a unit. This double-cycling strategy still requires the use a single-cycle one before the trucks can be incorporated into double-cycle scheduling. A handling container strategy is introduced by employing double cycling to reduce the empty travel trips of yard trucks. The objective of this research is to maximize container terminal productivity by minimizing vessel turnaround time within reasonable expenses. Minimizing the empty journeys of yard trucks could improve container terminal efficiency with reasonable time and cost investment. Much research has been done on improving container terminal efficiency as a means to reduce vessel turnaround time however, room still available for improvement. This time reduction can be achieved by improving one or more container terminal major resources. ![]() In port container terminals, reducing vessel turnaround time improves the terminal productivity and increases the capacity of world trades across the globe. ![]()
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