Evaluating Decision Making in Sustainable Project Selection Between Literature and Practice

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.

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The Application of Fuzzy Analytic Hierarchy Process in Sustainable Project Selection

Sustainability ◽

10.3390/su12208314 ◽

2020 ◽

Vol 12 (20) ◽

pp. 8314 ◽

Cited By ~ 1

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.

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ERP Selection using an AHP-based Decision Support System

Information Resources Management Journal ◽

10.4018/irmj.2016100105 ◽

2016 ◽

Vol 29 (4) ◽

pp. 65-81 ◽

Cited By ~ 5

Author(s):

Maria Manuela Cruz-Cunha ◽

Joaquim P. Silva ◽

Joaquim José Gonçalves ◽

José António Fernandes ◽

Paulo Silva Ávila

Keyword(s):

Decision Making ◽

Negative Impact ◽

Selection Process ◽

Multiple Criteria Decision Making ◽

Analytic Hierarchy ◽

Software Application ◽

Erp System ◽

Qualitative And Quantitative ◽

Long Time ◽

Selection Of

Selecting the best desirable Enterprise Resources Planning (ERP) system has been a critical problem for organizations for a long time, as the failure on the selection process may have a highly negative impact in terms of costs and market share of a company. It is one of the most important decision making issues covering both qualitative and quantitative factors for organization. Multiple-criteria decision-making has been proved to be a useful approach to analyze these conflicting qualitative and quantitative factors. Literature offers proposals and approaches to handle this kind of problem; Analytic Hierarchy Process (AHP) has been applied successfully in most cases of software packages selection problems. This paper proposes an AHP model for the selection of an ERP system. The model's set of criteria was extracted from the literature review and validated by Portuguese organizations. This model can be applied in the ERP system selection using a software application that is under development. This software application eases the application of the AHP process to the selection of ERP packages and will provide input from real-world cases that will allow updating and refining the model.

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ERP Selection using an AHP-based Decision Support System

Research Anthology on Recent Trends, Tools, and Implications of Computer Programming ◽

10.4018/978-1-7998-3016-0.ch017 ◽

2021 ◽

pp. 374-391

Author(s):

Maria Manuela Cruz-Cunha ◽

Joaquim P. Silva ◽

Joaquim José Gonçalves ◽

José António Fernandes ◽

Paulo Silva Ávila

Keyword(s):

Decision Making ◽

Negative Impact ◽

Selection Process ◽

Multiple Criteria Decision Making ◽

Analytic Hierarchy ◽

Software Application ◽

Erp System ◽

Qualitative And Quantitative ◽

Long Time ◽

Selection Of

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

Journal of Supply Chain Management Systems ◽

10.21863/jscms/2015.4.1and2.002 ◽

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.

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Sistem Pendukung Keputusan Pemilihan Tenaga Kerja Indonesia (TKI) Berdasarkan Kualitas Untuk Menentukan Tempat Kerja Menggunakan Metode Profile Matching (Studi Kasus: PT Adila Prezkifarindo Duta)

Jurnal Sistem Komputer dan Informatika (JSON) ◽

10.30865/json.v1i2.1940 ◽

2020 ◽

Vol 1 (2) ◽

pp. 142

Author(s):

Dasarius Gulo

Keyword(s):

Decision Making ◽

Migrant Workers ◽

Selection Process ◽

Matching Method ◽

Matching Process ◽

Profile Matching ◽

Long Time ◽

Support Decision Making ◽

Selection Of ◽

The Ideal

In the process of selecting Indonesian Workers (TKI) based on quality at PT. Adila Prezkifarindo Duta is classified as still manual, where there is not yet a system for selecting quality migrant workers so it requires a long time for its assessment and the selection process is less effective. To support decision making in the selection of qualified Indonesian Workers (TKI) to make it easier by using a decision support system. One method used in the selection of qualified Indonesian Workers is the Profile Matching method. The profile matching method is a decision-making mechanism by assuming that there is an ideal level of predictor variables that must be met by applicants, rather than the minimum level that must be met or passed. In the profile matching process a process will be compared between individual competencies into standard competencies so that different competencies can be identified (also called Gap). The smaller the gap produced, the greater the weight value. In matching this profile, the selected TKI candidates are Indonesian Workers who are closest to the ideal profile of a qualified TKI.

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Sistem Pendukung Keputusan Penerimaan Pegawai pada Universitas Ekasakti Menggunakan Metode AHP

Indonesian Journal of Computer Science ◽

10.33022/ijcs.v8i1.157 ◽

2019 ◽

Vol 8 (1) ◽

pp. 45-54

Author(s):

M Ilham A Siregar ◽

Danyl Mallisza ◽

Wahyuni Yahyan ◽

Harry Setya Hadi

Keyword(s):

Decision Making ◽

Analytical Hierarchy Process ◽

Selection Process ◽

Dynamic Logic ◽

New Employees ◽

System Method ◽

New Employee ◽

Decision Making System ◽

Hierarchy Process ◽

Selection Of

Private companies, government agencies and educational institutions are still experiencing difficulties in selecting employees / employees who are in accordance with their needs and experts in their respective fields. With the increasing number of workers who have different abilities, recruiting new employees requires selection of prospective employees at Ekasakti University, because if this is done manually, it will make it difficult for the staff to receive and also be prone to mistakes in decision making. The decision making system method (Decisions Support System) can be used to help the selection of new employee recipients with the AHP Method. Selection of new employee admissions by the AHP (Analytical Hierarchy Process) method can help solve the case of selecting employee recruitment. The model of applying dynamic logic applied in the AHP (Analytical Hierarchy Process) has the advantage that the selection process provides very flexible results

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Material Selection Decision-Making Method for Multi-material Lightweight Automotive Body Driven by Performance

Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications ◽

10.1177/14644207211055661 ◽

2021 ◽

pp. 146442072110556

Author(s):

Dengfeng Wang ◽

Shenhua Li

Keyword(s):

Decision Making ◽

Material Selection ◽

The Body ◽

Analytic Hierarchy ◽

Weighting Method ◽

Lightweight Material ◽

Automotive Body ◽

Selection Decision ◽

Hierarchy Process ◽

Selection Of

This work proposes a material selection decision-making method for multi-material lightweight body driven by performance to achieve that the right materials are used for the correct positions of the automotive body. The internal relationship between performance and mass, cross-sectional shape, wall thickness parameters, and material properties of a thin-walled structure is studied. The lightweight material indices driven by performance are then established. The lightweight material indices and material price are taken as the decision-making criteria for the material selection of automotive body components. A hybrid weighting method integrated with the analytic hierarchy process, fuzzy analytic hierarchy process, and quality function deployment is proposed. The difficulty of quantitatively evaluating the performance requirements of different components of the body is solved using the proposed weighting method combined with the numerical analytical results of the component performance under multiple operating conditions of the automotive body. Then, the weight of the decision-making criteria for material selection is calculated. Grey relational analysis is used to make multicriteria decision-making on a variety of candidate materials to select the best material for body components. After the lightweight material selection of the front longitudinal beam of the automotive body, the frontal collision safety performance of the body is effectively improved, and the mass of the front longitudinal beam is reduced by 45%. Material selection result of the front longitudinal beam indicates that the proposed material selection decision-making method can effectively achieve the fast material selection of components in different positions of the body.

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Dynamic QoS-Aware Cloud Service Selection Using Best-Worst Method and Timeslot Weighted Satisfaction Scores

The Computer Journal ◽

10.1093/comjnl/bxaa039 ◽

2020 ◽

Author(s):

Falak Nawaz ◽

Naeem Khalid Janjua

Keyword(s):

Decision Making ◽

Service Selection ◽

Cloud Service ◽

Cloud Services ◽

Satisfaction Score ◽

Analytic Hierarchy ◽

Hierarchy Process ◽

Best Worst Method ◽

Selection Of

Abstract The number of cloud services has dramatically increased over the past few years. Consequently, finding a service with the most suitable quality of service (QoS) criteria matching the user’s requirements is becoming a challenging task. Although various decision-making methods have been proposed to help users to find their required cloud services, some uncertainties such as dynamic QoS variations hamper the users from employing such methods. Additionally, the current approaches use either static or average QoS values for cloud service selection and do not consider dynamic QoS variations. In this paper, we overcome this drawback by developing a broker-based approach for cloud service selection. In this approach, we use recently monitored QoS values to find a timeslot weighted satisfaction score that represents how well a service satisfies the user’s QoS requirements. The timeslot weighted satisfaction score is then used in Best-Worst Method, which is a multi-criteria decision-making method, to rank the available cloud services. The proposed approach is validated using Amazon’s Elastic Compute Cloud (EC2) cloud services performance data. The results show that the proposed approach leads to the selection of more suitable cloud services and is also efficient in terms of performance compared to the existing analytic hierarchy process-based cloud service selection approaches.

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Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence

Journal of Mathematics ◽

10.1155/2020/4308756 ◽

2020 ◽

Vol 2020 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Mustafa Hamurcu ◽

Tamer Eren

Keyword(s):

Decision Making ◽

Unmanned Aerial Vehicles ◽

Selection Process ◽

Critical Role ◽

Multicriteria Decision Making ◽

Critical Factor ◽

Unmanned Systems ◽

Multicriteria Decision ◽

Aerial Vehicles ◽

Selection Of

The unmanned systems have been seeing a significant boom in the last ten years in different areas together with technological developments. One of the unmanned systems is unmanned aerial vehicles (UAVs). UAVs are used for reconnaissance and observation in the military areas and play critical role in attack and destroy missions. These vehicles have been winning more features together with developing technology in todays world. In addition, they have been varying with different features. A systematic and efficient approach for the selection of the UAV is necessary to choose a best alternative for the critical tasks under consideration. The multicriteria decision-making (MCDM) approaches that are analytic processes are well suited to deal intricacy in selection of alternative vehicles. This study also proposes an integrated methodology based on the analytic hierarch process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to evaluate UAV alternatives for selection process. Firstly, AHP, a MCDM method, is used to determine the weights of each critical factor. Subsequently, it is utilized with the TOPSIS approach to rank the vehicle alternatives in the decision problem. Result of the study shows that UAV-1 was selected as the most suitable vehicle. In results, it is seen that the weights of the evaluation criteria found by using AHP affect the decision-making process. Finally, the validation and sensitivity analysis of the solution are made and discussed.

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