COSMOS: a discrete-event methodology for construction processes

Damrianant, Jirawat

doi:10.1504/ijiem.2003.003209

Cited by 1 publication

(1 citation statement)

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“…The models are then simulated using the COSMOS simulator which is reliable software for running Pet Net-based or COSMOS models. The simulator was developed by the author's research team based on the COSMOS system (Construction Oriented Simulation MOdeling System) [1] which is an extension of the Pet Nets methodology [2]- [4]. The analysis of the results of the simulation yields the optimal number of supply trains to be engaged in the operation.…”

Section: Methodsmentioning

confidence: 99%

Optimization of Supply Trains in Tunnel Boring Operation Using Tunnel Boring Machines

DAMRIANANT¹

2018

Sixth International Conference on Advances in Civil Structural and Mechanical Engineering CSM 2018

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A large drainage-tunnel with an inside diameter of 5 m will be constructed in Bangkok using tunnel boring machines (TBM) by the end of 2018. One of the most challenging problems in this operation is how to determine the number of supply trains containing muck cars for the muck evacuation process during the boring. This paper presents an optimization of the number of the supply trains employed in the project so that the operation of the train fleet will be well synchronized with that of the TBM. Petri Net-based models and their simulation are used as the means for the optimization. The COSMOS simulator, which is reliable software for running Pet Net-based models, is used for the simulation. The simulation results indicate that the optimal numbers of supply trains are 2, 3, 4 and 5 for the tunnel lengths of 0-0.9, 0.9-2.7, 2.7-4.5 and 4.5-5.5 km, respectively. The analysis of these results also offers the numbers and the locations of the double track positions for each interval of the tunnel lengths. For example, when the length of the tunnel under construction is 4.5-5.5 km, there should be 3 double track points located at 1.8, 3.6 and 4.5 km from the starting shaft for the operation to be optimal.

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Section: Methodsmentioning

confidence: 99%