scholarly journals Decision-Making for Project Delivery System with Related-Indicators Based on Pythagorean Fuzzy Weighted Muirhead Mean Operator

Information ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 451 ◽  
Author(s):  
Yongchao Cao ◽  
Huimin Li ◽  
Limin Su
Keyword(s):  
Decision Making ◽  
Delivery System ◽  
Selection Method ◽  
Sustainable Construction ◽  
Project Delivery ◽  
Construction Project Management ◽  
Complex Environment ◽  
Selection Problems ◽  
Human Thinking ◽  
The Ideal

An appropriate project delivery system plays an essential role in sustainable construction project management. Due to the complexity of practical problems and the ambiguity of human thinking, selecting an appropriate project delivery system (PDS) is an enormous challenge for owners. This paper aims to develop a PDS selection method to deal with the related-indicators case by combining the advantages of Pythagorean fuzzy sets (PFSs) and Pythagorean fuzzy weighted Muirhead mean (PFWMM) operators. The contributions of this paper are as follows: (1) This study innovatively introduced the PFWMM operator to deal with PDS selection problems for the case of the relevance among all indicators affecting PDSs selection in a complex environment. (2) A new method of solving indicators’ weights was proposed to adapt to the related-indicators PDS selection problem, through investigating the differences between the ideal PDS and the alternative PDS under all indicators. (3) A decision-making framework for PDS selection was constructed by comprehensive use of the advantages of PFSs and the PFWMM operator in dealing with related-indicators PDS decision-making problems. An example of selecting a PDS is exhibited to illustrate the effectiveness and applicability of the proposed method.

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.

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.

Selection of project delivery approach with unascertained model

Kybernetes ◽  
2015 ◽  
Vol 44 (2) ◽  
pp. 238-252 ◽  
Author(s):  
Huimin Li ◽  
Keli Qin ◽  
Peng Li
Keyword(s):  
Decision Making ◽  
Delivery System ◽  
Information Entropy ◽  
Construction Project ◽  
Project Delivery ◽  
Content Type ◽  
Decision Making Model ◽  
Uncertainty Environment ◽  
Delivery Approach ◽  
Selection Of

Purpose – The construction project is implemented under uncertainty environment, and the product of construction is very complex. Selecting a project delivery system/approach is a critical task, which determines the project schedule, quality and investment objectives. The purpose of this paper is to propose a decision-making model for the selection of project delivery system which is based on information entropy and unascertained measure model. Design/methodology/approach – A decision-making model based on information entropy and unascertained set is employed to select project delivery approach. In order to overcome the subjective evaluations from the experts, the theory of “entropy weight” is applied to modify the experts’ subjective weight. The multi-attribute unascertained measure decision making is fitted to deal with the uncertainty information for selection of project delivery system. Findings – The proposed methodology is more comprehensive compared with the previous work, especially in the uncertainty environment. Research limitations/implications – There is some further work that should be considered, such as how to deal with the imprecise and subjective information given by the experts; how to determine the weight of the experts’; finding a set of importance factors influencing the selection of a delivery system is a complex task to further research. Practical implications – The proposed method can help the construction owner to select a most fitted project delivery system of a construction project. Originality/value – A new approach to select project delivery approach is proposed based on information entropy and unascertained set.

scholarly journals A NOVEL DECISION-MAKING MODEL FOR SELECTING A CONSTRUCTION PROJECT DELIVERY SYSTEM

2020 ◽  
Vol 26 (7) ◽  
pp. 635-650 ◽  
Author(s):  
Xingyu Zhu ◽  
Xianhai Meng ◽  
Yongqiang Chen
Keyword(s):  
Decision Making ◽  
Delivery System ◽  
Structural Equation ◽  
Construction Project ◽  
Project Delivery ◽  
Equation Modeling ◽  
Case Based Reasoning ◽  
Early Decision ◽  
Decision Making Model ◽  
Bayesian Structural Equation Modeling

It is crucial for the owner of a construction project to select an appropriate project delivery system (PDS) during early decision-making stages of the project. Due to project uncertainty or a lack of project information, the parameters of a PDS are difficult to measure and quantify. Therefore, there are still major challenges to the objective selection of PDSs. This research proposes a novel systematic decision-making model to select the appropriate PDS by using the combination of case-based reasoning (CBR) and robust nonparametric production frontier method. The Bayesian-Structural Equation Modeling (SEM) supported Z-order-m method is interpreted into the case retrieves process of traditional CBR method in order to eliminate the deteriorative internal and external influence for PDS selection. The case study was based on questionnaire survey conducted in China and used to test the validation of the proposed model. The findings reveal that the systematic decision-making model can overcome some problems of the traditional methods and improve the accuracy of PDS selection. As a result, this research has both theoretical and practical implications for the construction industry.

scholarly journals An integrated fuzzy multi-criteria group decision making approach for project delivery system selection

2016 ◽  
Vol 23 (3) ◽  
pp. 802-814 ◽  
Author(s):  
M. Khanzadi ◽  
F. Nasirzadeh ◽  
S.M. Hossein Hassani ◽  
N. Nejad Mohtashemi
Keyword(s):  
Decision Making ◽  
Delivery System ◽  
Group Decision Making ◽  
Group Decision ◽  
Project Delivery ◽  
System Selection
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