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|Title:||Formalization of construction operations simulation framework for modeling large civil engineering projects for decision making purposes|
|Authors:||Lau, Sze Chun|
|Keywords:||Construction industry -- Management -- Data processing.|
Construction industry -- Data processing.
Construction industry -- Decision making.
Hong Kong Polytechnic University -- Dissertations
|Publisher:||The Hong Kong Polytechnic University|
|Abstract:||Construction simulation provides a virtual platform on computer for design, analysis and experimentation of construction methods in order to offer better understanding and solutions. Despite the fact that computer simulation software has become user friendly to learn and apply and many real-world applications for aiding critical decision making have been demonstrated by simulation researchers, the industry generally has not yet been convinced with the advantages and the cost-effectiveness afforded by simulation. Most of the civil engineering projects are large, featuring extensive site-specific information, numerous practical constraints and convoluted logical sequences. Special-purpose simulation templates with default settings are regarded by the construction managers as being still too general to be directly applied to address their own problems. On the other hand, a general-purpose simulation platform demands the simulation knowledge and application skills of a simulation modeler who is generally trained at PhD level in Construction Engineering and Management. Neither a special-purpose nor a general-purpose simulation approach has yet to be widely implemented in practice. This research formalized the methodologies to approach, structure and represent the reality in construction applications by proposing and implementing 1) a formalized framework for process mapping and simulation modelling and analysis, and 2) a simplified discrete event simulation approach to apply combined modeling for simulating large civil engineering projects, which are predominantly discrete but include some plants or processes that are continuous in nature.|
|Description:||xxiii, 278 p. : ill. (some col.) ; 30 cm.|
PolyU Library Call No.: [THS] LG51 .H577P CEE 2014 Lau
|Rights:||All rights reserved.|
|Appears in Collections:||Thesis|
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Checked on May 21, 2017
Checked on May 21, 2017
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