05152ntm a2200373 i 4500 vtls000105496 KUKTEM 20251117113410.0 190221t20182018my da f am 000 0 eng d THE0000497(Local) 201905151532 nazirah 201902211222 nazri 201902211218 nazri UMP eng UMP rda FKASA .J34 2018 r Thesis Ja’far, Al-Diabat Al-Btoosht, author. The role of building information modelling design application in mitigating the variation order in Jordanian construction industry / Ja’far Al-Diabat Al-Btoosh Kuantan, Pahang : UMP, 2018 © 2018 xiv, 179 pages : illustrations, charts ; 30 cm. + 1 CD-ROM text rdacontent text rdacontent unmediated rdamedia computer rdamedia volume rdacarrier computer disc rdacarrier text file PDF rda Faculty of Civil Engineering and Earth Resources Thesis (Doctor of Philosophy of Science in Civil Engineering) -- Universiti Malaysia Pahang – 2018 Includes bibliographical references Variation 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. Faculty of Civil Engineering and Earth Resources Dissertations Universities and colleges Disertations Theses 0 0 lcc 0 1 10000 10000 2019-09-04 0 FKASA .J34 2018 r Thesis 0000126598 2019-09-04 00:00:00 1 2019-09-04 THESIS 0 0 lcc 0 1 10000 10000 2019-09-04 0 CD 11566 | FKASA .J34 2018 r Thesis 0000126599 2019-09-04 00:00:00 1 2019-09-04 THESIS VIRTUA40 7990 7996 VTLSSORT0080*0200*0400*0900*1000*2450*2640*2641*3000*3360*3361*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992