scholarly journals A Multi-Criteria Decision-Making Model to Choose the Best Option for Sustainable Construction Management

2019 ◽  
Vol 11 (8) ◽  
pp. 2239 ◽  
Author(s):  
Seyit Ali Erdogan ◽  
Jonas Šaparauskas ◽  
Zenonas Turskis
Keyword(s):  
Decision Making ◽  
Project Management ◽  
Construction Management ◽  
Construction Project ◽  
Sustainable Construction ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Project Construction ◽  
Turkish Case ◽  
Decision Making Model

The article briefly discusses the content and terms of construction project management. It identifies the main problems of construction management and discusses ways to solve those using multi-criteria methods. Well-performed management is one of the critical factors which leads to the success of any significant sustainable project. Construction project management consists of setting goals and defining user requirements, project constraints, and resources needed. This paper aims to create a practically useful model. The paper presents a comprehensive set of criteria, which led to the creation of a decision-making model for construction management, which was applied to a Turkish case study. The Analytic Hierarchy Process (AHP) method and the Expert Choice computer program were used for calculations.

scholarly journals Decision Simulation of Construction Project Delivery System under the Sustainable Construction Project Management

2020 ◽  
Vol 12 (6) ◽  
pp. 2202 ◽  
Author(s):  
Ji-Wei Zhu ◽  
Li-Nan Zhou ◽  
Liang Li ◽  
Wajhat Ali
Keyword(s):  
Decision Making ◽  
Project Management ◽  
Delivery System ◽  
Construction Project ◽  
Indicator System ◽  
Sustainable Construction ◽  
Project Delivery ◽  
Construction Project Management ◽  
Multi Agent Systems ◽  
Market Environment

Choosing an appropriate project delivery system (PDS) directly affects the achievement of performance goals, and at the same time it is of great significance for sustainable construction project management (SCPM). This paper took the PDS of construction engineering as the research object, took the Design-Build (DB) and the Design-Bid-Build (DBB) as examples, and established the indicator system for determinants of the PDS decision. Based on Multi-Agent Systems (MAS), a decision-making simulation model of the PDS decision was constructed, and this paper analyzed the influence of the project attribute characteristics, policy and market environment, owner ability and preference, and contractor technology and capabilities of the PDS decision. While analyzing the circumstances under which the owners tend to choose DB or DBB, the following conclusions were reached: (1) the contractor technology and capabilities increase faster in DB than in DBB. (2) The PDS with policy and market environment preferences has an advantage in the PDS decision, and the owners are more willing to choose the PDS which was selected previously. (3) The competition mechanism in the construction market will eliminate contractors whose growth rate is too low to meet the needs of projects in the market. The research provides theoretical references for the scientific decision-making of construction enterprises.

Fuzzy Analytic Hierarchy in Project Risk Management - New Stadium Construction Project in Weifang City

2011 ◽  
Vol 243-249 ◽  
pp. 6362-6368
Author(s):  
Yan Zhang ◽  
Chang Jiang Liu
Keyword(s):  
Risk Management ◽  
Project Management ◽  
Construction Projects ◽  
Large Scale ◽  
Construction Project ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
Management Case Study

In the field of engineering and construction, unqualified construction quality, time delays, cost more than expected phenomena to occur. Because of these characteristics such as its large-scale construction projects, long cycle, the production of single and complex, there is greater risk than the production of general products, the risk increases the difficulty of construction project management, operating costs and the possibility of potential losses, therefore, risk management emerged and become an increasingly important integral part of project management. In this paper, fuzzy analytic hierarchy be used to construction project risk assessment, and to order the sort of each risk in order to prevent significant risks. On an actual project - the new stadium construction in Weifang City risk management case study, the reduction of risk of project failure is expected, but also the project is hoped for other industries to provide some reference for risk management.

scholarly journals APPLICATION OF FUZZY AHP FOR RANKING AND SELECTION OF ALTERNATIVES IN CONSTRUCTION PROJECT MANAGEMENT

2017 ◽  
Vol 23 (8) ◽  
pp. 1123-1135 ◽  
Author(s):  
Natasa PRASCEVIC ◽  
Zivojin PRASCEVIC
Keyword(s):  
Project Management ◽  
Construction Projects ◽  
Fuzzy Numbers ◽  
Fuzzy Ahp ◽  
Construction Project ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Fuzzy Mean ◽  
Ranking Of Alternatives ◽  
Fuzzy Weights

The construction project management (CPM) is very important and large segment of entire project manage­ment (PM). Realisation of construction projects is usually long term process which requests significant financial, mate­rial, human and other resources to fulfil contracted obligations and achieve a good quality of works. Therefore, making good decisions with the satisfaction of various criteria is one of the main conditions to achieve planed business objec­tives and finish the project in contracted time with good quality. This paper proposes a new procedure for determination of the weights of criteria and alternatives in the Fuzzy analytic hierarchy process (FAHP) with trapezoidal fuzzy number using a new method for finding eigenvelues and eigenvectors of the criteria and alternatives, which is based on expected values of the fuzzy numbers and their products. Local and global fuzzy weights of the alternatives are determined using linear programming. In the paper a formula for ranking fuzzy numbers by reduced generalized fuzzy mean is also pro­posed, since ranking by the coefficient of variation is not always reliable. In the presented case study, applying proposed method, from imprecise input data are obtained enough accurate and useful results for rational ranking of alternatives related to the project realization.

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