Open AccessProviding strategic method to increase performance in execution and management of high-rise building
Author(s) -
Majid Dezhkam,
Su-Duo Xue,
Zhansheng Liu
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/295/4/042063
Subject(s) - executor , duration (music) , computer science , key (lock) , quality (philosophy) , control (management) , process management , project manager , operations research , project management , operations management , risk analysis (engineering) , systems engineering , business , engineering , finance , computer security , art , philosophy , literature , epistemology , artificial intelligence
In current situation, high- rise building projects execution seems difficult issue. These problems cause to increase duration, possible delay, and increasing project costs. The main goal of this research is prediction of possible accidents in respect of intellectual, behavioral and structural dimensions which establishes various problems such as time, cost, quality and etc in high-rise building execution. Therefore, it should be provided a model which can make suitable and on time various decisions and strategies in least of possible time and cost in case of satisfying impact episodes during project execution and can control deviations and manage executive plans in regard of suitable reliable performance for projects. This article is applicable method in regard of goal and is descriptive- exploratory method in regard of method and form. First, key activities in project are evaluated. Then, interior and exterior environmental factors, duration and the cost of project execution are considered by their impacts to each other, current obstacles in project execution are identified and studied in frame of professional variables of executor organizations. Finally, the technique of partial minimum squares in combination of meaningful non-parametric tests are approved by using Azar board Company (high rise- building company) engineers as statistical society.