Shipyard location selection based on fuzzy AHP and TOPSIS

Türk, Abdullah; Özkök, Murat

doi:10.3233/jifs-200522

Cited by 20 publications

(4 citation statements)

References 41 publications

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“…A graphical representation of the IREMF model is shown in Figure 2, along with all 15 main factors responsible for the proper operation of the energy management system. The next stage of this investigation seeks to determine the weights for the identified layers and factors using the Fuzzy Analytic Hierarchy Process (FAHP) [34]. The Analytic Hierarchy Process (AHP) is a renowned multi-criteria decision-making method, designed to tackle complex problems across various fields.…”

Section: Research Design and Methodologymentioning

confidence: 99%

Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

Stecyk,

Miciuła

2023

Energies

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This article shows the evaluation of the Integrated Real-time Energy Management Framework (IREMF), a cutting-edge system designed to develop energy management practices. The framework leverages real-time data collection, advanced visualization techniques, and fuzzy logic to optimize energy consumption patterns. To assess the performance and importance of each layer and main factor within IREMF, we employ a multi-step methodology. First, the Fuzzy Delphi Method is utilized to harness expert insights and collective intelligence, providing a holistic understanding of the framework’s functionality. Researchers used a fuzzy analytic hierarchy process (AHP) to determine the relative importance of each component of the energy system (first stage). This careful evaluation process helps ensure that resources are allocated effectively and that strategic decisions are made based on sound data. The findings of the study not only improve our understanding of the capabilities of the IREMF platform but also pave the way for future developments in energy system management. The study highlights the critical role of real-time data, visualization, fuzzy logic, and advanced decision-making methods in shaping a sustainable energy future.

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Section: Research Design and Methodologymentioning

confidence: 99%

Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

Stecyk,

Miciuła

2023

Energies

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“…Supplier evaluation is a multi-attribute decision-making process. Common multiattribute decision-making methods include the Analytic Hierarchy Process (AHP) [29][30][31], the Technique Order Preference by Similarity to Ideal Solution (TOPSIS) method [32][33][34], VIKOR [35,36], DEA [37,38], ELECTRE [39], grey correlation analysis (GCA) [40], and the mixed multi-attribute decision-making method considering uncertain information processing [40][41][42], etc. Different decision-making methods have their own advantages and disadvantages.…”

Section: Common Multi-attribute Decision-making Methodsmentioning

confidence: 99%

A Hesitant Fuzzy Method for Evaluating Risky Cold Chain Suppliers Based on an Improved TODIM

Zhang

Geng

2022

Sustainability

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Enterprises need sustainable development in order to reduce costs and increase income. The cold chain logistics industry needs to promote sustainable supply chains more. As the beginning of the supply chain, the choice of suppliers is particularly important. Considering the risky attitude of decision-makers, an improved hesitant fuzzy TODIM approach is adopted to select suppliers. In order to calculate a more objective indicator weight, the generalized Shapley function of the hesitant fuzzy measure is adopted by analyzing the relationships among indicators. The uncertain supplier evaluation information given by decision-makers is obtained by using hesitant fuzzy information. The improved Interactive and Multi-criteria Decision-Making (TODIM) method based on hesitant fuzzy numbers is used to analyze the psychological behavior of decision-makers under different market prospects and comprehensively rank the candidate suppliers. Finally, a case study of selecting cold chain logistics suppliers is provided to verify the effectiveness and feasibility of the method in this paper.

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“…For instance Kafalı and Özkök (2015) used fuzzy AHP to assess the criteria for shipyard selection by shipowners. Türk and Özkök (2020) utilized the Fuzzy AHP method to assess the critical factors in choosing a shipyard location. The same research group (2022) also evaluated the risk of falling accidents in shipyards.…”

Section: Introductionmentioning

confidence: 99%

Assessing Key Factors in Marine Main Engine Selection using Fuzzy AHP Method

Gürgen

Altın

2023

Mersin Üniversitesi Denizcilik Ve Lojistik Araştırmaları Dergisi

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The main engine selection is a critical decision in the shipbuilding process, as it impacts the vessel's overall performance, efficiency, and operational costs. In this article, we present a comprehensive evaluation of marine engine selection criteria using Fuzzy Analytical Hierarchy Process (AHP). This approach provides a systematic framework for evaluating the criteria based on their relative importance, incorporating both qualitative and quantitative data. In the selection of the main engine, three main criteria were determined as economic criteria, technical criteria, and company-related criteria, and each main criterion was detailed with four sub-criteria. The results indicated that after considering the relative significance of each sub-criterion, fuel oil consumption emerged as the top priority, accounting for 17.01% of the overall importance. Following closely behind, easy operation held the second position with a rating of 16.11%, signifying its considerable importance.

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Shipyard location selection based on fuzzy AHP and TOPSIS

Cited by 20 publications

References 41 publications

Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

A Hesitant Fuzzy Method for Evaluating Risky Cold Chain Suppliers Based on an Improved TODIM

Assessing Key Factors in Marine Main Engine Selection using Fuzzy AHP Method

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