scholarly journals The Application of Fuzzy Analytic Hierarchy Process in Sustainable Project Selection

2020 ◽  
Vol 12 (20) ◽  
pp. 8314 ◽  
Author(s):  
Rakan Alyamani ◽  
Suzanna Long
Keyword(s):  
Information Transfer ◽  
Selection Criteria ◽  
Selection Process ◽  
Project Selection ◽  
Project Managers ◽  
Decision Makers ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Sustainable Projects

The project selection process is a crucial step in sustainable development. Effective sustainable development depends on the ability to select the appropriate sustainable project to implement to ensure that the desired goals are met. Some of the most common characteristics or criteria used in evaluating sustainable projects include novelty, uncertainty, skill and experience, technology information transfer, and project cost. Prioritizing these criteria based on relative importance helps project managers and decision makers identify elements that require additional attention, better allocate resources, as well as improve the selection process when evaluating different sustainable project alternatives. The aim of this research is to use the fuzzy analytic hierarchy process (FAHP) methodology in which fuzzy numbers are utilized to realistically represent human judgment to rank the different project criteria based on relative importance and impact on sustainable projects. The results from the FAHP show that the most important criterion to consider in sustainable project selection is project cost, followed by novelty and uncertainty as the second and third most important criteria, respectively. The two least important criteria out of the total of five examined in this research were the skill and experience and technology information transfer, respectively. These results will help project managers and decision makers identify selection criteria with higher weights of importance. Given that the selection criteria chosen for this research are not limited to the evaluation of a specific type of sustainable projects or a specific location, they can be used to evaluate different types of sustainable projects in different environments and locations.

scholarly journals MULTI-CRITERIA DECISION APPROACH WITH AHP AND IF-TOPSIS METHODS FOR R&D PROJECT SELECTION PROCESS

2019 ◽  
Vol 25 (3) ◽  
pp. 22-32
Author(s):  
EZGİ GÜLER ◽  
SELEN AVCI ◽  
ZERRİN ALADAĞ
Keyword(s):  
Selection Process ◽  
Fuzzy Topsis ◽  
Project Selection ◽  
Decision Makers ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Intuitionistic Fuzzy Topsis ◽  
Hierarchy Process

In this study, we examined the project selection process in a mould manufacturing company. We ranked 12 criteria via Analytic Hierarchy Process (AHP) and evaluated the most important 8 criteria. Then we applied Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) method, which is the extended version of the TOPSIS method in intuitionistic fuzzy environment. After expressing the decision makers' evaluations in linguistic terms, we turned them into intuitive fuzzy numbers. In the last step, we obtained the project rankings by calculating the closeness coefficient for 5 projects.

scholarly journals Evaluating Decision Making in Sustainable Project Selection Between Literature and Practice

2021 ◽  
Vol 13 (15) ◽  
pp. 8216
Author(s):  
Rakan Alyamani ◽  
Suzanna Long ◽  
Mohammad Nurunnabi
Keyword(s):  
Decision Making ◽  
Expert Opinion ◽  
Information Transfer ◽  
Selection Process ◽  
Project Selection ◽  
Project Managers ◽  
Analytic Hierarchy ◽  
Project Cost ◽  
Strong Evaluation ◽  
Selection Of

A robust project selection process is critical for the selection of sustainable projects that meet the needs of an organization or community. There are multiple factors or criteria that can be considered in the selection of the appropriate sustainable project, but it can be challenging to find sufficient depth of expert opinion to perform a strong evaluation of these criteria. Several researchers have turned to the sustainable project literature as a source of expert opinion to evaluate the criteria used in sustainable project selection and rank them based on importance using different multi-criteria decision-making (MCDM) methodologies. However, using the literature as a source of expert opinion poses a different set of challenges and may not accurately represent the actual opinions of sustainable project subject matter experts (SMEs) and practitioners. In this study, the fuzzy analytic hierarchy process (FAHP) methodology is used to determine the importance of project cost, project maturity, skill and experience, uncertainty, and technology information transfer as selection criteria using collected opinions from academic sustainable project experts and practitioners. The results are then compared with previous research that used the literature to rank these five criteria based on importance when selecting between multiple sustainable project alternatives. The results show that project cost is still considered the major driver of decision making in sustainable project selection by both the literature and practice. However, unlike the literature-as-experts approach, SMEs prioritize skill and experience and technology information transfer over project maturity and uncertainty. Project managers and decision makers can use these findings to best prioritize the types of challenges that may occur depending on inputs for the FAHP analysis.

scholarly journals MULTI-CRITERIA DECISION APPROACH WITH AHP AND IF-TOPSIS METHODS FOR R&D PROJECT SELECTION PROCESS

2019 ◽  
Vol 25 (3) ◽  
Author(s):  
EZGİ GÜLER ◽  
SELEN AVCI ◽  
ZERRİN ALADAĞ
Keyword(s):  
Selection Process ◽  
Fuzzy Topsis ◽  
Project Selection ◽  
Decision Makers ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Intuitionistic Fuzzy Topsis ◽  
Hierarchy Process

In this study, we examined the project selection process in a mould manufacturing company. We ranked 12 criteria via Analytic Hierarchy Process (AHP) and evaluated the most important 8 criteria. Then we applied Intuitionistic Fuzzy TOPSIS<strong> (</strong>IF-TOPSIS) method, which is the extended version of the TOPSIS method in intuitionistic fuzzy environment. After expressing the decision makers' evaluations in linguistic terms, we turned them into intuitive fuzzy numbers. In the last step, we obtained the project rankings by calculating the closeness coefficient for 5 projects

Service Supplier Selection using Analytic Hierarchy Process

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Analytic Hierarchy Process ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Selection Process ◽  
Alternative Methods ◽  
Analytic Hierarchy ◽  
Research Directions ◽  
Hierarchy Process

This paper argues the use of Analytic Hierarchy Process in service supplier selection process. The literature has evidence of important criteria for supply supplier selection process. However, there is a dearth of studies on service supplier selection process. To address this gap, this paper firstly systematically reviews the existing procurement literature, secondly, it argues for the use of alternative methods research to address questions related to ranking of selection criteria, and thirdly, it proposes and illustrates the use of Analytic Hierarchy Process to analyze the identified criteria. The paper concludes with limitations and further research directions.

scholarly journals Analytic Hierarchy Process-Based Decision-Making Framework for Formwork System Selection by Contractors

2020 ◽  
Vol 25 (2) ◽  
pp. 235-255
Author(s):  
Seng Hansen ◽  
Pratama HR Siregar ◽  
Jevica
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Selection Criteria ◽  
Decision Makers ◽  
Assessment Criteria ◽  
Analytic Hierarchy ◽  
Process Technique ◽  
Decision Making Framework ◽  
System Selection ◽  
Hierarchy Process

This article presents a study of the contractors' preference for formwork system selection in Indonesian context. As decision makers, contractors are faced with challenges in choosing the formwork system for a particular project. While conventional timber formwork has been the most used formwork system in Indonesia, aluminium formwork is present although it has not been widely used. Thus, this research investigates the current practices of available formwork systems and its selection criteria in Indonesia. A decision-making framework (DMF) is developed by considering the appropriate assessment criteria for formwork system selection. This framework is then implemented through analytic hierarchy process technique. The result shows that contractors tend to choose aluminium formwork with a preference at 79% compared to conventional timber formwork with a preference at 21%. These findings can be used as considerations for contractors to start using aluminium formwork due to its excellence compared to conventional timber formwork. This study also proves that the proposed DMF can be applied and provides a sound decision related to formwork system selection.

scholarly journals INTEGRATED FAHP, ARAS-F AND MSGP METHODS FOR GREEN SUPPLIER EVALUATION AND SELECTION

2015 ◽  
Vol 22 (5) ◽  
pp. 651-669 ◽  
Author(s):  
Chin-Nung LIAO ◽  
Yan-Kai FU ◽  
Li-Chun WU
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Green Supplier Selection ◽  
Selection Problems ◽  
Aspiration Levels ◽  
Fuzzy Techniques ◽  
Hierarchy Process

In recent years, determining the best supplier in the green supply chain has become a key strategic task for a firm. Since the decision usually involves several objectives or criteria, the green supplier selection process is a fuzzy multiple criteria decision-making (FMCDM) problem. Considering both qualitative and quantitative criteria, this study proposes new integrated fuzzy techniques for fuzzy analytic hierarchy process (FAHP), fuzzy additive ratio assessment (ARASF) and multi-segment goal programming (MSGP) approach to solve the green supplier selection problems. The advantage of this method is that it allows decision makers to set multiple segment aspiration levels for green supplier selection problems. The integrated model is illustrated by an example in a watch firm.

Prioritization of Bank Selection Decision in Pandemic Process Using a Novel Decision-Making Model

2021 ◽  
pp. 477-492
Author(s):  
Ahmet Çalık ◽  
Bilge Afşar
Keyword(s):  
Decision Making ◽  
Interest Rate ◽  
Selection Criteria ◽  
Fuzzy Ahp ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Selection Decision ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Selection Of

In Turkey, since March 2020, the pandemic process caused changes in the bank selection of consumers as it affected all other activities. Prioritization of bank selection criteria is a multi-criteria decision-making (MCDM) problem with conflicting criteria. In this study, the Pythagorean fuzzy analytic hierarchy process (PFAHP) is used to prioritize the selection criteria, it is aimed to provide more freedom for decision-makers in expressing their opinions. Not only quantitative criteria such as interest rate, ATM, and number of branches, but also the environmental and social impacts of the pandemic, the nine main criteria have been determined. As a result of interviews with different sectors, it was found that the loan interest rate is the most important criterion. The results were compared with different classical and fuzzy AHP methods, and it was found that the PFAHP method produced reliable and informative results that better represented the uncertainty of the decision-making process.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

scholarly journals A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

2021 ◽  
Vol 11 (4) ◽  
pp. 1660 ◽  
Author(s):  
Ivan Marović ◽  
Monika Perić ◽  
Tomaš Hanak
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Project Performance ◽  
Decision Makers ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Conflicting Demands ◽  
Decision Making Problem ◽  
Scientific Approach ◽  
Hierarchy Process

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.

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