Supplier Selection in a Construction Company Using Fuzzy AHP and Fuzzy TOPSIS

Karabayır, Ayşe Nur; Botsalı, Ahmet Reha; Kose, Yildiz; Çevikcan, Emre

doi:10.1007/978-3-030-23756-1_60

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…Step1. Decision matrix : A fuzzy multi-criteria decision-making problem can be expressed in matrix format as shown in Equation (2) (Karabayir et al, 2019):…”

Section: Methodsmentioning

confidence: 99%

Material selection in design for deconstruction using Kano model, fuzzy-AHP and TOPSIS methodology

et al. 2021

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During last decade, design for deconstruction (DfD) has attracted the attention of researchers and project managers as an environmentally friendly alternative to the conventional demolition of buildings. Yet, the intensity of raw materials consumption, waste generation and greenhouse gas (GhG) emission in the construction industry proves that current methods of selecting building components have failed to make the deconstruction effectively feasible. Specifically, in the material selection process, most research studies concentrate on assessing environmental and economic aspects while in selecting material for DfD various factors must be considered. To overcome this gap, this study aims to propose a DfD-based material selection model which enables designers to choose materials that make the recyclability and reusability of building components feasible. To this end, the Kano model is first applied to categorize selection criteria identified via a questionnaire. After extracting the weights of criteria by using Fuzzy-Analytical Hierarchy Process, a Technique for Order Preference by Similarity to the Ideal Solution-based multi-criteria decision-making framework is proposed for choosing the best possible alternatives. Based on the research results, the framework enables designers to find decent materials in terms of DfD requirements. A numerical example is also provided to examine the proposed framework for selecting the most appropriate materials for walls.

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“…Step1. Decision matrix : A fuzzy multi-criteria decision-making problem can be expressed in matrix format as shown in Equation (2) (Karabayir et al, 2019):…”

Section: Methodsmentioning

confidence: 99%

Material selection in design for deconstruction using Kano model, fuzzy-AHP and TOPSIS methodology

et al. 2021

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“…A significant problem with the selection process for subcontractors is an adoption of a proper selection procedure (Chen et al, 2006;Karabayir et al, 2019). Multicriteria decision-making (MCDM) methods are frequently employed in the literature.…”

Section: Decision Models For Subcontractor Selectionmentioning

confidence: 99%

ISO 21500 and the Sustainability Focused ANP-BOCR Framework for Subcontractor Selection in Megaprojects

Subaie

Faisal

Aouni

et al. 2023

Project Management Journal

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The aim of this article is to present a novel framework that integrates the strategic dimensions of sustainability and the ISO 21500 standard to evaluate and select subcontractors for megaprojects. ISO 21500 processes were utilized to develop benefits, opportunities, costs, and risks subnets, whereas triple-bottom line sustainability dimensions were used as strategic criteria. Subsequently, the Analytic Network Process was used to examine the proposed framework for the Qatar Rail megaproject. The proposed framework supports organizations dealing with megaprojects to align their subcontractor selection with ISO 21500 and achieve ecological and social objectives alongside the project’s stipulated economic benefits.

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“…To overcome this shortcoming, a hybrid approach that integrates the results for final decision making was used in the study. The effectiveness and reliability of a hybrid fuzzy AHP-TOPSIS approach have been previously proven and are still used in current research, such as selecting cloud services [52], evaluating the service quality of hospitals [53], selecting suppliers for a construction company [54], evaluating hotel websites [55], evaluating the financial performance of banks [56], selecting computer-integrated manufacturing technologies [57], selecting aquaculture species [58], and studying the long-term growth in the online market for food delivery services [59].…”

Section: Multi-criteria Decision Making In Sustainable Waste Managementmentioning

confidence: 99%

A Hybrid Fuzzy AHP-TOPSIS Approach for Implementation of Smart Sustainable Waste Management Strategies

Demircan

Yetilmezsoy

2023

Sustainability

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The integration of smart city technologies into waste management is a challenging field for decision makers due to its multivariate, multi-limiting, and multi-stakeholder structure, despite its contribution to the ecological and economic sustainability understanding of cities. The success of smart sustainable waste management strategies depends on many environmental, technical, economic, and social variables, and many stakeholders are involved in these processes. Using fuzzy multi-criteria decision-making (MCDM) methods helps decision makers determine effective, affordable, and acceptable smart waste management strategies. Although MCDM methods are widely used in various environmental engineering applications, the determination of smart sustainable waste management strategies using these methods has not yet received enough attention in the literature. This study aims to contribute to this gap in the literature by evaluating four different smart waste management strategies using a hybrid fuzzy MCDM method. The performance of the proposed strategy alternatives according to fifteen sub-criteria (under four main criteria selected from the literature) was evaluated using a combined application of fuzzy analytic hierarchy process (fuzzy AHP) and fuzzy technique for order preference by similarity to obtain the ideal solution (fuzzy TOPSIS). For this evaluation, the subjective opinions of ten different experts working in academia, in the private sector, or in the public sector were obtained using prepared questionnaires. As a result, the sub-criteria of fewer atmospheric emissions (0.42), operational feasibility (0.64), initial investment costs (0.56), and increased awareness of sustainable cities (0.53) had the highest weight values in their main criteria groups. The performance ranking of the alternatives according to the closeness coefficient (CCi) values was obtained as A2 (0.458) > A3 (0.453) > A4 (0.452) > A1 (0.440), with A3 being slightly ahead of A4 due only to a 0.001 higher CCi value. To test the reliability and stability of the obtained performance ranking results, a sensitivity analysis was also performed using eighteen different scenarios, in which the weights of the different sub-criteria were increased by 25% or decreased by 50%, or they were assumed to be 1 and 0, or all sub-criteria in the same group had equal weight values. Since the performance ranking of the alternatives did not change, the ranking obtained at the beginning was found to be robust against the sub-criterion weight changes.

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Supplier Selection in a Construction Company Using Fuzzy AHP and Fuzzy TOPSIS

Cited by 7 publications

References 11 publications

Material selection in design for deconstruction using Kano model, fuzzy-AHP and TOPSIS methodology

Material selection in design for deconstruction using Kano model, fuzzy-AHP and TOPSIS methodology

ISO 21500 and the Sustainability Focused ANP-BOCR Framework for Subcontractor Selection in Megaprojects

A Hybrid Fuzzy AHP-TOPSIS Approach for Implementation of Smart Sustainable Waste Management Strategies

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