Artificial Intelligence Integrated Construction Simulation Method
From Basics to Methods with Real Case Applications
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The interactive, complicated system environment of aconstruction site renders the conventional sitelayout planning and scheduling inadequatein coping with the materials handlingin construction. Although simulation provides apromising solution to construction planning, thecomplexity and time requirement involved inconstructing a simulation model along with thedifficulty in decoding simulation output data keeppracticing engineers from employing simulation toolsin practice. This book introduces you an innovativeconstruction operations simulation called SimplifiedDiscrete-Event Simulation Approach...
The interactive, complicated system environment of a
construction site renders the conventional site
layout planning and scheduling inadequate
in coping with the materials handling
in construction. Although simulation provides a
promising solution to construction planning, the
complexity and time requirement involved in
constructing a simulation model along with the
difficulty in decoding simulation output data keep
practicing engineers from employing simulation tools
in practice. This book introduces you an innovative
construction operations simulation called Simplified
Discrete-Event Simulation Approach (SDESA), which
provide you an accurate simulation tool with minimum
learning and modeling effort. Furthermore, the
Artificial Neural Networks-based sensitivity analysis
is integrated to it to perform instant data mining
and knowledge discovery from the construction
simulations result data. By implementing the
simplified, intelligent construction simulation
method as developed, practicing engineers would be
capable and confident to draw up the best
construction plan that would lead to the enhancement
of cost-effectiveness and productivity in the field.
construction site renders the conventional site
layout planning and scheduling inadequate
in coping with the materials handling
in construction. Although simulation provides a
promising solution to construction planning, the
complexity and time requirement involved in
constructing a simulation model along with the
difficulty in decoding simulation output data keep
practicing engineers from employing simulation tools
in practice. This book introduces you an innovative
construction operations simulation called Simplified
Discrete-Event Simulation Approach (SDESA), which
provide you an accurate simulation tool with minimum
learning and modeling effort. Furthermore, the
Artificial Neural Networks-based sensitivity analysis
is integrated to it to perform instant data mining
and knowledge discovery from the construction
simulations result data. By implementing the
simplified, intelligent construction simulation
method as developed, practicing engineers would be
capable and confident to draw up the best
construction plan that would lead to the enhancement
of cost-effectiveness and productivity in the field.
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