000 05152ntm a2200373 i 4500
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005 20251117113410.0
008 190221t20182018my da f am 000 0 eng d
020 _aTHE0000497(Local)
039 9 _a201905151532
_bnazirah
_c201902211222
_dnazri
_y201902211218
_znazri
040 _aUMP
_beng
_cUMP
_erda
090 _aFKASA .J34 2018 r Thesis
100 1 _aJa’far, Al-Diabat Al-Btoosht,
_eauthor.
245 1 4 _aThe role of building information modelling design application in mitigating the variation order in Jordanian construction industry /
_cJa’far Al-Diabat Al-Btoosh
264 1 _aKuantan, Pahang :
_bUMP,
_c2018
264 4 _c© 2018
300 _axiv, 179 pages :
_billustrations, charts ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Civil Engineering and Earth Resources
502 _aThesis (Doctor of Philosophy of Science in Civil Engineering) -- Universiti Malaysia Pahang – 2018
504 _aIncludes bibliographical references
520 3 _aVariation order is a major challenge facing the construction industry. It can be defined as changes to the contract documents in the original agreement. It might be a change in quality, or quantity or any forms of change that affect the project. Several researchers in Jordan have inspected the variation orders sources, and a variety of clarifications have been recommended to minimize their causes, nevertheless variation order kept hardly influencing the construction industry. Though, Building Information Modelling (BIM) as a tool to minimize the variation order effects in Jordan has not been examined. Moreover, researchers confirmed a knowledge gap, in terms of BIM awareness through Jordanian construction industry. Literature indicates that the use of BIM in the Jordanian construction industry is lagging behind. The aim of this study is to develop a BIM framework to minimize the variation orders causes on the governmental construction project in Jordan. To meet that aim, a comprehensive literature review was conducted in terms of BIM capability to reduce V.O. impact on construction project around the world. Furthermore, the researcher designed a questionnaire to collect the data required in regard of VO causes and the BIM capability to address this issue. The response rate was around 70% (105/150). The questionnaire answers were analyzed descriptively and statistically by Partial Least Squares (PLS), and Relative Importance Index (RII). The causes of variation order in the Jordanian construction industry were further categorized into four main groups, namely client-related causes, contractor causes, consultant causes and causes arising from unforeseen circumstances of the project. The outcomes of this research (dependent on a relative importance index (RII)) indicate that the most frequent causes of variation orders in Jordan construction industry were, inaccurate quantity take-off, unskilled labourers, missing material specifications, logistic delays, internal politics, shortage of equipment and tools, technology changes, shortage of human and equipment Resource, absence of construction manuals and procedures, unavailability of the required labour skills, change of scope or plans by owners. It was also found that 50% of these causes were initiated by consultants, 20 % by clients and unforeseen variations, while 10 % only were initiated by contractor. Moreover, it was found that BIM Design Applications, Facility Operations Simulation, Exploration Design Scenarios, BIM Design Detection and BIM Quantity Take-off and Cost Estimation were found to be significantly capable to minimize VO. The research concluded that there is a significant positive relationship between the use of BIM applications and minimizing in the variation order in Jordanian construction industry. This means that the variation orders will decrease significantly if BIM applications is used and supports a case for using BIM as a means of reducing the variation order in the Jordanian construction industry. Finally, focus group workshop was used to validate this framework. Focus group workshop was used to investigate the relationship between the causes of variation order and the functions and features of BIM, which validated the positive effects of using BIM in terms of minimizing the variation order by minimizing the main causes. This research introduced a helpful contribution through a detailed BIM design application framework to minimize variation order, the study recommended to use this framework to solve many problems related to construction industry.
610 2 0 _aFaculty of Civil Engineering and Earth Resources
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
999 _aVIRTUA40
_c7990
_d7996
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