scholarly journals Analytic Network Process-Based Multi-Criteria Decision Approach and Sensitivity Analysis for Temporary Facility Layout Planning in Construction Projects

2018 ◽  
Vol 8 (12) ◽  
pp. 2434 ◽  
Author(s):  
Haifeng Jin ◽  
Mingyuan Zhang ◽  
Yongbo Yuan
Keyword(s):  
Labor Productivity ◽  
Construction Projects ◽  
Facility Layout ◽  
Spatial Relation ◽  
Analytic Network Process ◽  
Planning Problem ◽  
Layout Planning ◽  
Sensitivity Evaluation ◽  
Network Process ◽  
The Cost

In construction projects, the planning objectives include the safety and labor productivity of the activities, along with the cost influence affecting the overall performance of construction. Temporary facilities are critical in supporting structures and equipment that impact the direct task executions and resource transportation during various construction stages. The positioning of temporary facilities and the relative spatial relation between multiple facilities are critical factors that affect the success of construction delivery. To ensure the balance among safety, labor productivity and construction cost performance, all influencing factors associated with the construction objectives should be taken into account in temporary facility layout planning. This paper proposes a novel multi-criteria temporary facility layout planning model that integrates Analytic Network Process (ANP) modeling and simulation-based sensitivity evaluation, which effectively transforms the spatial layout planning problem into a mathematical decision problem. An application example is analyzed to demonstrate its capabilities of optimizing temporary facility layout planning. The proposed framework provides the construction managers and layout planners with a useful tool for selecting the optimal alternative of temporary facility layout plan on the construction site.

scholarly journals Applying analytical network process to the selection of financing method for abandoned construction projects in Iraq

2021 ◽  
Vol 14 (2) ◽  
pp. 62-70
Author(s):  
Huda Yaseen ◽  
Hafeth I. Naji
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Analytic Network Process ◽  
Construction Sector ◽  
Negative Effects ◽  
Analytical Network Process ◽  
Multiple Risks ◽  
Final Weight ◽  
Network Process ◽  
Selection Of

Construction projects are of a special nature affected by many factors, which makes them exposed to multiple risks that may lead to the abandonment of projects. Recently, the Iraqi construction sector is facing a number of problems. Abandoned construction projects are one of the most common and dangerous problems in the construction industry in Iraq, with their negative effects on stakeholders, the economy, and the environment due to the lack of sufficient financial and administrative capabilities to complete construction projects, which is reflected in exceeding the time limit for the completion of projects. The aim of this research is to use the analytic network process (ANP) technique to choose the best form of Public-Private Partnership (PPP) contracts to fund abandoned projects in Iraq. using a questionnaire survey to determine the most criteria and alternatives for selecting appropriate financing for the abandoned project. The results shown final weight of the Build-Own-Operate (BOO) contract from ANP is 0.533, which is the best form of PPP contract among the alternatives proposed to fund the project.

scholarly journals Risk assessment of international construction projects using the analytic network process

2009 ◽  
Vol 36 (7) ◽  
pp. 1170-1181 ◽  
Author(s):  
Amani Suliman Bu-Qammaz ◽  
Irem Dikmen ◽  
M. Talat Birgonul
Keyword(s):  
Decision Support ◽  
Construction Projects ◽  
Decision Support Tool ◽  
Analytic Network Process ◽  
Risk Level ◽  
Reliable Technique ◽  
Support Tool ◽  
International Construction ◽  
Network Process ◽  
Level Of Risk

In this study, an analytic network process (ANP), which can handle the interrelations between risk related factors, is proposed as a reliable technique for measuring the level of risk associated with international construction projects. Within this context, ANP is used to derive the relative priorities of risk factors as an input to a decision support tool, which can be utilized during bidding decisions. The decision support tool may help a decision maker to estimate the level of risk so that alternative projects may be ranked with respect to their risk levels and appropriate contingency values may be defined after a bid decision is given. The tool has a database in which risk information of the rated projects can be stored for future use. The reliability of the tool was tested on eight real cases and satisfactory results were achieved in estimating the risk level.

scholarly journals Evaluating Performance of Software Durability through an Integrated Fuzzy-Based Symmetrical Method of ANP and TOPSIS

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 493 ◽  
Author(s):  
Suhel Ahmad Khan ◽  
Mamdouh Alenezi ◽  
Alka Agrawal ◽  
Rajeev Kumar ◽  
Raees Ahmad Khan
Keyword(s):  
Early Stage ◽  
Quantitative Estimation ◽  
Analytic Network Process ◽  
Ideal Solution ◽  
Effective Technique ◽  
New Approach ◽  
Network Process ◽  
Optimal Maintenance ◽  
The Cost ◽  
Symmetrical Method

Acceptance of any new approach by the organizations depends upon the users’ needs. Currently, reducing the cost and time invested in maintenance is a major challenge for the practitioners. Moreover, symmetrical and optimal maintenance is the need of the hour and it can be achieved by increasing the durability of software. Many attributes of the quality may affect the durability of the software and identification of durability attributes is a crucial task at the early stage of software development. Thus, it is a problem that contains multi-criteria within it. With the help of quantitative estimation, software durability may be assessed symmetrically and increased. In this row, the authors of this article have attempted to posit an effective technique to assess the durability of software. Based on empirical data through research, the presenters of this article suggest that fuzzy-based symmetrical method of Analytic Network Process (ANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) would be an accurate methodology for assessing the durability of software. For determining the efficacy of this assessment, the researchers took six alternative software of a University. The results, as presented in this paper, would serve as guidelines for the practitioners who aim at achieving the preferred software durability.

Application of Fuzzy Analytic Network Process and TOPSIS Method for Material Supplier Selection

2017 ◽  
Vol 728 ◽  
pp. 411-415 ◽  
Author(s):  
Nguyen Thanh Phong ◽  
Van Nguyen Phuc ◽  
To Thuy Hoang Le Nguyen Quyen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Construction Projects ◽  
Significant Proportion ◽  
Analytic Network Process ◽  
Quantitative Model ◽  
Topsis Method ◽  
Construction Firms ◽  
Network Process ◽  
Fuzzy Analytic Network Process

Materials account for a significant proportion of engineering and construction projects budget. Therefore, selecting appropriate material supplier criteria is a critical economic decision, and it plays a significant role in the success of any engineering and construction firms. Traditional supplier evaluating decision-making methods are usually based on subjective opinions of experts, resulting in irrational and inappropriate decisions. This paper proposes a quantitative model for selecting a material supplier by using the Fuzzy Analytic Network Process and TOPSIS method. In this model, the material supplier selection criteria are weighted by using Group Fuzzy Analytic Network Process (GFANP). Then material suppliers are ranked using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The proposed decision-making model can provide a robust approach for solving material supplier selection problems.

Application of the Analytic Network Process to facility layout selection

2014 ◽  
Vol 33 (4) ◽  
pp. 488-497 ◽  
Author(s):  
Tarek Al-Hawari ◽  
Ahmad Mumani ◽  
Amer Momani
Keyword(s):  
Facility Layout ◽  
Analytic Network Process ◽  
Network Process

scholarly journals Assessing and Prioritising Delay Factors of Prefabricated Concrete Building Projects in China

2018 ◽  
Vol 8 (11) ◽  
pp. 2324 ◽  
Author(s):  
Yingbo Ji ◽  
Lin Qi ◽  
Yan Liu ◽  
Xinnan Liu ◽  
Hong Li ◽  
...  
Keyword(s):  
Decision Making ◽  
Construction Industry ◽  
Construction Projects ◽  
Analytic Network Process ◽  
Building Projects ◽  
Factors Affecting ◽  
Expert Interview ◽  
Concrete Building ◽  
Network Process ◽  
Improved Performance

Prefabricated construction has been widely accepted as an alternative to conventional cast-in-situ construction, given its improved performance. However, prefabricated concrete building projects frequently encounter significant delays. It is, therefore, crucial to identify key factors affecting schedule and explore strategies to minimise the schedule delays for prefabricated concrete building projects. This paper adopts the decision-making trial and evaluation laboratory (DEMATEL) model and analytic network process (ANP) method to quantify the cause-and-effect relationships and prioritise the key delay factors in terms of their importance in the Chinese construction industry. The DEMATEL model evaluates the extent to which each factor impacts other factors. The quantified extents are then converted into a prioritisation matrix through ANP. The delay factors of prefabricated construction projects are selected and categorised based on a literature review and an expert interview. Questionnaires are then implemented to collect the data. The results reveal that the issue of inefficient structural connections for prefabricated components is found to be the most significant factor and most easily affected by other delay factors. This research also suggests prioritising major delay factors, such as ‘lack of communication among participants’ and ‘low productivity’, in the Chinese construction industry during scheduling control. Overall, this research contributes an assessment framework for decision making in the scheduling management of prefabricated construction.

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