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Paper w78-1999-2287:
Simulation of construction operation with direct inputs of physical factors

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Chao L C

Simulation of construction operation with direct inputs of physical factors

Abstract: The deterministic approach to estimating the production rate of a construction operation assumes constant midpoint physical attributes without addressing the effect of randomness of job conditions. On the other hand, most simulation models bypass physical factors and rely on secondorder inputs of probability distributions of task times, the judgements of which have been cited as difficult for users to make. This paper presents an alternative approach to production estimation, based on simulating directly the effects of changing job factors on task times, while addressing the probabilistic nature of construction. The neural network model is used as the computing mechanism for determining the cycle times of the equipment in given conditions and provides the basis for estimation. The obtained times are then fed directly into a discrete-event simulation model to simulate the process and establish the production capacity of the system as constrained by first-order factors. The approach is illustrated using a hypothetical excavating and hauling operation while the object-oriented programming technique is used to implement the computing procedure.

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Full text: content.pdf (72,259 bytes) (available to registered users only)

Series: w78:1999 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.analysis (0.027295) class.software development (0.021146) class.software-machine (0.005241)
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Permission to reproduce these papers has been graciously provided by the Research Press of the National Research Council of Canada. The support of the editors, particularly Dr. Dana Vanier, is gratefully appreciated.

 

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