Relevant bibliographies by topics / MCDM tools

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'MCDM tools'

Author: Grafiati
Published: 3 June 2025
Last updated: 13 July 2025

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Journal articles on the topic "MCDM tools"

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Fattoruso, Gerarda. "Multi-Criteria Decision Making in Production Fields: A Structured Content Analysis and Implications for Practice." Journal of Risk and Financial Management 15, no. 10 (2022): 431. http://dx.doi.org/10.3390/jrfm15100431.

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As the complexity of decision-making problems and the competitiveness in which companies find themselves carrying out their activities increase, the need to use tools that can help Decision-Makers (DM) make more informed and more effective choices increases. Multi-Criteria Decision Making (MCDM) represents a valid decision support tool capable of simplifying the process of choosing, ranking or sorting the alternatives that characterize the problem. This work aims to investigate with a structured content analysis if MCDMs are used in an extremely complex and competitive sector such as the automotive sector. The work also aims to describe and explore in the existing literature the role that entrepreneurs (our decision-makers) play in the construction of MCDM methods. The results show that MCDMs are widely used in different application areas in the domain of interest and that the decision maker is involved in several phases of construction of the MCDM methods.
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Saeed, Mohamed Osman, Hamidi Abdul Aziz, and Khairun Azizi Mohd Azizli. "The Art of Integrated GIS/AHP for Siting Landfill: A Review." Applied Mechanics and Materials 567 (June 2014): 144–49. http://dx.doi.org/10.4028/www.scientific.net/amm.567.144.

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This article reviewed selected works on how decision makers (DMs) utilize integrated geographic information system (GIS)/analytical hierarchy process (AHP) tools to analyze land suitability for sanitary landfill sites as part of regional planning. We analyzed the hierarchy process of certain pervious works to facilitate better understanding. The innovative work of Siddiqi et al. in 1996 highlighted the advantages of integrating AHP in GIS software and reviewed some limitations. The present paper explained the background study on multi-criteria decision analysis/aid (MCDA) so-called multi-criteria decision makers (MCDM) in conjunction with the advantages of GIS as a new remedy for utilizing the AHP weights of the decision makers. For this study we often use the term MCDA and MCDM.
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Guebsi, Wafa, and Alaeddine Zouari. "Investigation on Multi-Criteria Decision Making Methods Application in Sustainable Product Design." SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) 3, no. 1 (2022): 91–104. http://dx.doi.org/10.12928/spekta.v3i1.5962.

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Background: Integrating sustainability development' aspects in the design process is becoming, a growth area in companies. Consequently, sustainable product design has to consider the different aspects of sustainability throughout its life cycle phases in addition of other requirements. This integration is becoming more complicated due the difficulty of managing the constraints and alternatives related to the product and stakeholders needs. This study aims to highlights the most used Multi-Criteria Decision Making (MCDM) tools and methods used in sustainable product design process. Contribution: Product design process involves interesting decisional tasks such as the choice of materials, standard parts, technical solutions. Hence, the contribution of this work is to help designer to adopt relevant MCDM tools and methods that can be integrated to other tools to facilitate and to justify their decisional tasks. Method: Several methods have been affected to solve the problems related to this complexity such as MCDM. A literature review was conducted based on Siencedirect and GoogleScholar articles databases. After filtering more than 200 articles only 62 articles were considered to analyze the correlation between sustainable product design and MCDM. Results: Classified MCDM use according to the type of choices to achieve SPD goals. This paper allowed us to find matches between MCDM methods and SPD problem. The majority of case studies result show that a large portion of sustainable design methods, techniques, and tools are applied to the sustainable product’ along its different life cycle phases Conclusion: It is noticed that the use of MCDM methods are an important outcome in the sustainable product design process and deeply helps designers to make suitable choices. Also, several matches relating MCDM, other methods and sustainable product design sphere are discussed
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Madić, Miloš, Miroslav Radovanović, Dušan Petković, and Bogdan Nedić. "Selection Of Cutting Inserts For Aluminum Alloys Machining By Using MCDM Method." ACTA Universitatis Cibiniensis 66, no. 1 (2015): 98–101. http://dx.doi.org/10.1515/aucts-2015-0035.

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Abstract Machining of aluminum and its alloys requires the use of cutting tools with special geometry and material. Since there exists a number of cutting tools for aluminum machining, each with unique characteristics, selection of the most appropriate cutting tool for a given application is very complex task which can be viewed as a multi-criteria decision making (MCDM) problem. This paper is focused on multi-criteria analysis of VCGT cutting inserts for aluminum alloys turning by applying recently developed MCDM method, i.e. weighted aggregated sum product assessment (WASPAS) method. The MCDM model was defined using the available catalogue data from cutting tool manufacturers.
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Taherdoost, Hamed, and Mitra Madanchian. "Multi-Criteria Decision Making (MCDM) Methods and Concepts." Encyclopedia 3, no. 1 (2023): 77–87. http://dx.doi.org/10.3390/encyclopedia3010006.

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Multi-criteria decision-making (MCDM) is one of the main decision-making problems which aims to determine the best alternative by considering more than one criterion in the selection process. MCDM has manifold tools and methods that can be applied in different fields from finance to engineering design. This entry aims to provide a survey on the MCDM concept, its applications, main categories, and different methods. The final section provides manifold information and statistics on the published works in the MCDM fields. Some of the main methods are also listed in this section.
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Dymova, Ludmila, Krzysztof Kaczmarek, Pavel Sevastjanov, and Joanna Kulawik. "A Fuzzy Multiple Criteria Decision Making Approach with a Complete User Friendly Computer Implementation." Entropy 23, no. 2 (2021): 203. http://dx.doi.org/10.3390/e23020203.

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The paper presents the generalization of the almost forty years of experience in the field of setting and solving the multiple criteria decision-making (MCDM) problems in various branches of a human activity under different types of uncertainties that inevitably accompany such problems. Based only on the pragmatic intentions, the authors avoid the detailed descriptions of the known methods for the decision-making, while instead focusing on the most frequently used mathematical tools and methodologies in the decision-making practice. Therefore, the paper may be classified as a special kind of illustrative review of the mathematical tools that are focused on applications and are the most used in the solutions of MCDM problems. As an illustrative example, a complete user-friendly computer implementation of such tools and methodology is presented with application to the simple “buying a cat” problem, which, however, possesses all the attributes of the hierarchical fuzzy MCDM task.
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YÜKSEL, Fatma Şeyma, Ayşe Nilgün KAYADELEN, and Figen ANTMEN. "A systematic literature review on multi-criteria decision making in higher education." International Journal of Assessment Tools in Education 10, no. 1 (2023): 12–28. http://dx.doi.org/10.21449/ijate.1104005.

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The three components that form the basis of the educational process are the teacher, the learner, and the environment. These three components are affected by the developing and changing technology as a result of globalization considerably. Teaching and learning techniques should be updated and connected with these developments; new tools are therefore needed to make the necessary updates. Determination and application of the new tools include many decisions. Decision-makers can make more effective decisions using Multi-Criteria Decision-Making Techniques (MCDM), a complex decision-making tool that includes both quantitative and qualitative factors at present time. This study aimed to determine which MCDM methods are used in studies conducted in higher education, which is one of the most important development level indicators of countries, and to present a systematic literature review of MCDM method applications. The study was conducted in three stages: first, known electronics were searched until the end of 2021 using keywords; then, all studies were listed in a systematic taxonomy, and in the last stage, Thematic Network Analysis was used to evaluate the development of MCDM studies in the higher education area. It is determined that the Analytical Hierarchy Process (AHP) method is the most widely used method in higher education in MCDM applications. It was observed that the most common use of MCDM applications in higher education is e-learning as well. This study aims to be a guide for all researchers and practitioners who will study in both higher education and the MCDM areas.
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Malefaki, Sonia, Dionysios Markatos, Angelos Filippatos, and Spiros Pantelakis. "A Comparative Analysis of Multi-Criteria Decision-Making Methods and Normalization Techniques in Holistic Sustainability Assessment for Engineering Applications." Aerospace 12, no. 2 (2025): 100. https://doi.org/10.3390/aerospace12020100.

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The sustainability evaluation of engineering processes and structures is a multifaceted challenge requiring the integration of diverse and often conflicting criteria. To address this challenge, Multi-Criteria Decision-Making (MCDM) methods have emerged as effective tools. However, the selection of the most suitable MCDM approach for problems involving multiple criteria is critical to ensuring robust, reliable, and actionable outcomes. Equally significant is the choice of a proper normalization technique, which plays a pivotal role in determining the robustness and reliability of the results. This study investigates the impact of common MCDM tools on the decision-making process concerning diverse aspects of sustainability. It also examines how different normalization methods influence the final outcomes. Sustainability in this context is understood as a trade-off among five key dimensions: performance, environmental impact, economic impact, social impact, and circularity. The outcome of the MCDM process is represented by an aggregated metric, referred to as the Sustainability Index (SI). This index offers a comprehensive and robust framework for evaluating sustainability and facilitating decision-making when conflicting criteria are present. To assess the effects of implementing different MCDM and normalization choices on the sustainability assessment, a dataset from the aviation sector is employed. Specifically, a typical aircraft component is analyzed as a case study for holistic sustainability assessment, utilizing data that represent the various dimensions of sustainability mentioned above, for this component. Additionally, the study investigates the influence of initial data variations and weight variations within the MCDM process on the results. The results indicate that, overall, the different MCDM and normalization methods lead to similar outcomes when applied to the design alternatives. However, a deeper dive into the results reveals that the weighted sum method, when paired with min-max normalization, appears to be more appropriate, based on the use case involved for the present investigation, due to its robustness regarding small variations in the initial data and its sensitivity to large ones. This research underscores the critical importance of selecting appropriate MCDM tools and normalization methods to enhance transparency, robustness, reliability, and consistency of sustainability assessments within a holistic framework.
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Paul, Ananna, Nagesh Shukla, Sanjoy Kumar Paul, and Andrea Trianni. "Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review." Sustainability 13, no. 13 (2021): 7104. http://dx.doi.org/10.3390/su13137104.

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Multi-criteria decision-making (MCDM) methods are smart tools to deal with numerous criteria in decision-making. These methods have been widely applied in the area of sustainable supply chain management (SSCM) because of their computational capabilities. This paper conducts a systematic literature review on MCDM methods applied in different areas of SSCM. From the literature search, a total of 106 published journal articles have been selected and analyzed. Both individual and integrated MCDM methods applied in SSCM are reviewed and summarized. In addition, contributions, methodological focuses, and findings of the reviewed articles are discussed. It is observed that MCDM methods are widely used for analyzing barriers, challenges, drivers, enablers, criteria, performances, and practices of SSCM. In recent years, studies have focused on integrating more than one MCDM method to highlight methodological contributions in SSCM; however, in the literature, limited research papers integrate multiple MCDM methods in the area of SSCM. Most of the published articles integrate only two MCDM methods, and integration with other methods, such as optimization and simulation techniques, is missing in the literature. This review paper contributes to the literature by analyzing existing research, identifying research gaps, and proposing new future research opportunities in the area of sustainable supply chain management applying MCDM methods.
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Dhanalakshmi, G., S. Sandhiya, and Florentin Smarandache. "Selection of the best process for desalination under a Treesoft set environment using the multi-criteria decision-making method." International Journal of Neutrosophic Science 23, no. 3 (2024): 140–47. http://dx.doi.org/10.54216/ijns.230312.

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Multi-criteria decision-making (MCDM), which has been called a revolution in the field, is one of the most exact methods for making decisions. Multicriteria decision-making (MCDM) is the process of selecting options by considering multiple criteria to determine which is best. A multitude of applications in engineering, design, and finance are possible with the tools and methods derived from MCDM. Application-oriented problems with multiple criteria involve ambiguous and more inaccurate options, to deal with this ambiguity Smarandache introduced Treesoft sets, which are an extension of hypersoft sets. So, in this paper, we will consider a real-life application-oriented problem “Desalination process” under the treesoft sets environment and find the best method for desalination using one of the MCDM methods.
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Dissertations / Theses on the topic "MCDM tools"

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Anelli, Angelo. "An optimal seismic risk mitigation of public school buildings in Lima through the community resilience concept and the application of MCDM methods and GIS tools." Doctoral thesis, Pontificia Universidad Católica del Perú, 2018. http://tesis.pucp.edu.pe/repositorio/handle/123456789/13545.

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Nowadays retrofitting strategies are a typical problem of public administrations. Due to the amount of essential and/or historic buildings that require seismic retrofitting and the restricted economic availability, it is necessary to prioritize interventions on a large territorial scale in order to optimize the allocation of available economic resources, provide transparent guidelines, and identify the best solution with an integrated view of the problem. In this thesis work, a prioritization methodology for seismic risk reduction in public schools is developed. The suggested methodology is based on the community resilience concept, Multi-Criteria Decision-Making (MCDM) methods, and Geographic Information Systems (GIS). It allows to define a proactive and resilient seismic risk mitigation strategy with a geographical, multidisciplinary, and multidimensional perspective. In order to illustrate the proposed methodology, prioritization strategies of retrofit interventions for 1825 public schools in the Lima Metropolitan Area are analyzed. The resilience of the communities has played a key role in the definition of the seismic risk mitigation policies. Three perceptions are identified to use the resilience concept in the present thesis work: seismic risk, emergency management, integration and social cohesion. They represent groups of interwoven technical, organizational, social, and economic dimensions. Based on these aspects, quantitative and qualitative prioritization criteria are selected and analyzed separately using GIS tools in order to model the schools seismic risk components and quantify the spatial and territorial relationships between schools and their surroundings. Through the assignment of criteria weights, numerous political scenarios are defined to perform predictive analysis that consider the possible uncertainties involved in planning and to enrich the decision-making process with more useful information. In order to compare them and identify the most optimal political scenario, a cost-benefit index and an innovative resilience indicator are determined for each one. A new and transparent framework is developed to help decision makers in selecting the political strategies, the relative prioritizations of interventions, and their intervention options in the pre- disaster and post-disaster phases. It provides a simplified methodology with solid technical and scientific bases that aims to optimize community resilience using a multidimensional and xviii spatiotemporal measurement. Decision makers and engineering professionals could use it as a decision support in the prevention and management of various natural and artificial threats.<br>Tesis
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Kiani, Mavi Neda. "Forecasting project success in the construction industry using multi-criteria decision-making tools and adaptive neuro fuzzy inference system." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2024. https://ro.ecu.edu.au/theses/2791.

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The construction industry plays a significant role in the development of economies. This industry in Australia contributed around 20% Australian Trade and Investment Commission (2023) to its gross domestic product (GDP) of over US$1.80 trillion (approximately AUD 2.85 trillion) (OECD, 2023).The federal budget for 2022–23 allocates AUD 17.9 billion over a decade towards major infrastructure projects, encompassing substantial funding for nationwide road and rail projects. The overall investment in major public infrastructure is anticipated to surpass AU$218 billion from 2021 to 2025. Approximately 182,000 individuals are employed in Australia's major public infrastructure projects, with an additional 1.2 million individuals working in related industries (Australian Trade and Investment Commission, 2023). However, the construction industry confronts a wide range of challenges that influence their success. The inherent complexity and uncertainty of a construction project make it difficult to successfully manage even for experienced project managers. The Australian construction sector grapples with significant challenges, primarily marked by a lack of productivity growth and increased pressures related to risk management. Australia has faced persistently poor productivity over the past three decades, resulting in an estimated AU$47 billion in lost opportunities. According to the 2023 KPMG Global Construction Survey, a staggering 87% of project managers continue to encounter difficulties in project performance, characterized by schedule delays and cost overruns. Additionally, a mere 50% of project owners are successfully meeting completion deadlines, predominantly due to effective risk management (Johnston, 2023).Understanding and achieving project success is critical for project sponsors to control current and future projects. In practice, however, determining key success factors and key success criteria to evaluate the performance of construction projects and forecast the success of new projects is a difficult task. This research explores project success factors and criteria for the Australia and New Zealand construction industry using multi-criteria decision-making (MCDM) techniques to achieve more targeted forecasting of project success. Aligned with the project-oriented theory and the contingency theory of organisations, this research views a construction project as a transient organisation or coalition that fulfils a purpose. This study goes beyond the traditional efficiency-oriented project success criteria and considers both efficiency- and effectiveness- iv oriented measures to evaluate project success. This research identifies a holistic set of project success factors and criteria and classifies them and contribute to the project-oriented theory and the contingency theory of organisations. Comprising two bibliometric literature reviews, two multi-criteria analysis of critical success factors and criteria, and a study using adaptive neuro-fuzzy inference system (ANFIS) to forecast the success of medium and large construction projects, this research makes key contributions to the literature on project success in the construction industry. A total of 181 project managers from Australia and New Zealand participated in the empirical studies, providing 11 expert responses for a two-round Delphi study, 28 expert responses for the MCDM analysis of success factors and criteria, and 142 responses for forecasting project success using ANFIS. The major contributions of this study are in (1) determining the interrelations and priority of critical success factors and criteria for medium and large construction projects to effectively manage them and (2) developing an expert system using an adaptive neuro-fuzzy inference system (ANFIS) to forecast the success of medium and large construction projects. These findings may help construction project managers in public and private sectors to coordinate, manage, and control critical success factors and criteria towards improving project success and design appropriate decision support systems that accurately forecast it.
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Jardim, João Pedro Fernandes. "Airports efficiency evaluation based on MCDA and DEA multidimensional tools." Master's thesis, Universidade da Beira Interior, 2012. http://hdl.handle.net/10400.6/2011.

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Airport benchmarking depends on airport operational performance and efficiency indicators, which are important issues for business, operational management, regulatory agencies, airlines and passengers. There are several sets of single and complex indicators to evaluate airports efficiency as well as several techniques to benchmark such infrastructures. The general aim of this work is the development of airport performance and efficiency predictive models using robust but flexible methodologies and incorporating simultaneously traditional indicators (number of movements and passengers, tons of cargo, number of runways and stands, area of terminals both of passenger and cargo) as well as new constraints as emerging situations and/or sudden natural phenomenon (ramp accidents and incidents, and volcano ashes and weather constraints, respectively). Firstly this work shows the efficiency evaluation of either a set of airports or the same airport along several years and under several constraints based on two multidimensional tools, Multicriteria Decision Analysis (MCDA, particularly through Measuring Attractiveness by a Categorical Based Evaluation Technique - MACBETH) and Data Envelopment Analysis (DEA). Secondly this work compares the obtained results using both MACBETH and DEA evidencing pros and cons of each multidimensional tool and searching for the best conditions to apply one or the other within airport management decision processes.
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FONSATI, ARIANNA. "InfraBIM methods and tools applied to companies¿ implementation processes." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2959941.

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Oyenuga, Abioye. "Economic and environmental impact assessment of construction and demolition waste recycling and reuse using LCA and MCDA management tools." Thesis, London South Bank University, 2016. http://researchopen.lsbu.ac.uk/1810/.

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Reuse and recycling of waste from construction and demolition (C&D) is problematic because the markets for secondary materials have not yet been fully integrated. Decisions regarding the reuse and recycling of building waste materials, however, are beneficial economically to the construction industry, in addition to having environmental and social responsibility outcomes. The aim of this thesis is to evaluate the economic and environmental benefits of recycling and reuse of C&D waste. It explores how impact categories such as economic and environmental impact can be used to develop a decision-support framework for recycling and reusing building waste. Two case studies of real-life Demolition and New Build projects are selected to demonstrate how waste inventory data can be collected and adopted to support the decision-making process. A thorough review of the available literature revealed a holistic view of C&D waste management and its related economic and environmental impacts. The literature review helped establish a direction for what is needed to develop a decision-support framework. Two management tools (LCA and MCDA) were identified as possible tools needed to complete the decision-support framework. Life Cycle Analysis (LCA) and Analytic Hierarchical Process (AHP) (an aspect of MCDA) were adopted to construct the framework, which was to be applied to the case study’s waste management system. The combination of these two management tools enables the full development of a framework that can measure both the economic and environmental impact of the current waste management system, as well as act as a tool for supporting decisions regarding different policy alternatives. Thus, the framework was applied to the Demolition and New Build case studies, and later validated for consistency. The framework delivered a set of positive results that could be useful for those making decisions on policy alternatives. Both the decision making process and waste management policy were selected and facilitated by the new framework. Decision makers' preferences on policy alternatives were ranked as final outcomes, and favoured reducing, recycling and reusing opportunities in C&D waste management. The result depicts an approach that, compared to current waste management practices, demonstrates a strong acceptability in terms of the environment and cost-effectiveness. Thus, the key findings discussed here provide an interesting foundation for future research, which will focus more on other impacts, such as the social and policy impacts of recycling and reusing C&D waste.
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Lidouh, Karim. "Integration of multi-criteria tools in geographical information systems." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209356.

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For a little over twenty years, researchers have worked on integrating multi-criteria aggregation procedures (MCAP) to GIS. Several notable contributions have brought this field to what it is today. After studying the course of MCDA-GIS integration through several works, we question the future of such an attempt. Indeed most works that aim for an integration do not survive long after their direct purpose has been fulfilled. We end up understanding through a critical review of the existing systems that technical integration means nothing if it is not visible to the user on an operational level.<p><p>We therefore propose several contributions to improve the usability of MCDA methods in a geographic context. One of our works consists in adapting the PROMETHEE-GAIA methodology to be used on maps for spatially referenced problems. To do so, we define symbols/glyphs that display select parts of the results obtained through the PROMETHEE and GAIA methods. This allows for the comparison of alternatives' profiles and characteristics based on their geographic location which wasn't possible before. This adaptation helps us combine multicriteria and geographic aspects in an entirely new way.<p>We also propose some extensions of the GAIA method to improve the quality of the results and reduce the risk of wrong interpretations to be made due to losses of data.<br>Doctorat en Sciences de l'ingénieur<br>info:eu-repo/semantics/nonPublished
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Mer'eb, Muhammad Musa. "Greenometer-7 a tool to assess the sustainability of a building's life cylce at the conceptual design phase /." Cleveland, Ohio : Cleveland State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=csu1209184917.

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Thesis (D.Eng.)--Cleveland State University, 2008.<br>Abstract. Title from PDF t.p. (viewed on May 8, 2008). Includes bibliographical references (p. 321-343). Available online via the OhioLINK ETD Center. Also available in in print.
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DATOLA, GIULIA. "Toward resilient cities: assessing urban resilience performance using a System Dynamics Model-based approach." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2966341.

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Rajdl, Filip. "Virtuální zprovoznění výměníku nástrojů CNC stroje." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417784.

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The Master’s thesis deals with virtual commissioning of the CNC machine tool changer. First deals with current state of knowledge with a systematic analysis of virtual commissioning. The 3D model is created by physical properties, sensors, actuators and control signals. In the last part of this thesis, a PLC program and visualization is created. The programs needed to create a virtual commissioning are jsou NX 12.0 - Mechatronic concept designer, SIMIT Simulation Platform V10.0 a TwinCAT 3.
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Chen, Yen Ting, and 陳彥廷. "Integrating FMEA Framework with MCDM Approaches for Risk Assessment of Machine Tools." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/fdmy4k.

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碩士<br>國立臺北科技大學<br>工業工程與管理系<br>106<br>With the rapid development of science and technology, peoples reliance on machines has increased. Especially in traditional factories, showing that automation of the tool machine is a general trend of society nowadays. If the tool machine fails that may cause serious economic loss or casualties in a company, so the risk management of the tool machine is an important issue that must be properly discussed. Previous research uses Failure Mode and Effect Analysis (FMEA) as a risk assessment technique, which has been used in a wide range of fields. FMEA typically uses three parameters as a risk factor to calculate the Risk Priority number (RPN), which are Occurrence (O), Severity (S), and Detection (D). However, many scholars have criticized with this traditional FMEA method. For example: not consider the relative importance of O, S, D, the different types of risk factor score conversion. This study improves the traditional FMEA, which combines FMEA and Multiple Attribute Decision Making (MADM) as a rating tool for risk assessment. This study uses rotary table as an example to discuss the most important risk models that affect the tool machine through expert experience. To fix the problem of the equal weights in in traditional FMEA, the Best-Worst Method (BWM) is applied to calculate subjective weights and the entropy method to calculate the objective weights. Finally, this study uses VIKOR method to rank the failure modes; then, decision makers can effectively propose the preventing strategies. The final results show that the ranking of risk factors by experts is Severity » Detection » Economic cost » Maintainability » Ooccurrence » Spare Parts. The first three risk modes are waterproofing measures, machine noise during rotation, and base oil spill. Based on the results, this study provides some preventing strategies for the three risk modes.
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Books on the topic "MCDM tools"

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S, Rajakarunakaran, Arun Vasantha Geethan K, and Godwin Barnabas S. Application of MCDM Tools in Landfill Site Selection. Independently Published, 2019.

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Book chapters on the topic "MCDM tools"

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Bouyssou, Denis, and Marc Pirlot. "Conjoint Measurement Tools for MCDM." In Multiple Criteria Decision Analysis. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3094-4_4.

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Solomatin, D. P. "Problem Structuring Tools for Pre-MCDM Stage." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-49298-3_49.

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Anand, Abhinav, Dipanjan Ghose, Sudeep Pradhan, Shabbiruddin, and Akash Kumar Bhoi. "Optimal Selection of Electric Motor for E-Rickshaw Application Using MCDM Tools." In Cognitive Informatics and Soft Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1451-7_52.

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Husin, Nor Azura, Ali A. Abdulsaeed, Yousif Raad Muhsen, Ali Shakir Zaidan, Alhamzah Alnoor, and Zahraa Raad Al-mawla. "Evaluation of Metaverse Tools Based on Privacy Model Using Fuzzy MCDM Approach." In Beyond Reality: Navigating the Power of Metaverse and Its Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-51716-7_1.

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Muhsen, Yousif Raad, and Ahmed Abbas Jasim Al-hchaimi. "Modelling Intelligent Agriculture Decision Support Tools to Boost Sustainable Digitalization: Evidence from MCDM Methods." In Explainable Artificial Intelligence in the Digital Sustainability Administration. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63717-9_6.

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Kralik, Lukas, Roman Jasek, and Petr Zacek. "Influence of User’s Criteria Preferences for Open Source ITIL Tools Evaluation by Simple MCDM." In Developments and Advances in Intelligent Systems and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58965-7_10.

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Küp, Eyüp Tolunay, Burcu Demir, Alper Gün, Funda Samanlioglu, Şevval Ece Gençay, and Gökçenur Koçak. "Evaluation of Business Intelligence Tools for the Logistics Sector with Hesitant Fuzzy Hybrid MCDM Methods." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70018-7_7.

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Mukherjee, Sumanta, and Jay Prakash Kumar. "Application of an MCDM Tool for Selection of 3D Bioprinting Processes." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2696-1_76.

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Büyüközkan, Gülçin. "A MCDM Tool to Evaluate Government Websites in a Fuzzy Environment." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04045-0_17.

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de L. Vazquez, Maria, Jean-Philippe Waaub, and Adrian Ilinca. "MCDA: Measuring Robustness as a Tool to Address Strategic Wind Farms Issues." In Assessment and Simulation Tools for Sustainable Energy Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5143-2_8.

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Conference papers on the topic "MCDM tools"

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Fleming, Peter J. "Tools and Techniques for Managing Many-Criteria Decision-Making." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369411.

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Statnikov, Roman, Kivanc Ali Anil, Alex Bordetsky, and Alexander Statnikov. "Visualization Tools for Multicriteria Analysis of the Prototype Improvement Problem." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369111.

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Madić, Miloš, Milan Trifunović, and Goran Petrović. "Selection of cutting insert for longitudinal turning of unalloyed steel using robust decision making." In XIX International May Conference on Strategic Management – IMCSM24 Proceedings. University of Belgrade, Technical Faculty in Bor, 2024. http://dx.doi.org/10.5937/imcsm24034m.

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Cutting tool is a very important element of machining production system. It is primarily responsible for material removal in the form of chips, but also significantly affects multiple machinability characteristics, surface finish, attainable dimensional accuracy, productivity and costs. As for a given machining operation there is a number of alternative cutting tools and inserts from many manufacturers, each characterized by a unique set of characteristics, the selection of a particular cutting tool can be very complex task, yet solvable within the framework of multi-criteria decision making (MCDM) methodology. This study is focused on the development of an MCDM model for selection of the most suitable cutting insert for medium machining of unalloyed structural steel. The model was developed by available information, catalogues of cutting tool manufacturers and machining estimations, and consisted of fourteen alternative cutting inserts from eight well-known cutting tool manufacturers and seven criteria. Initially, the assessment and ranking of alternative cutting inserts was derived by the six multi-criteria decision making (MCDM) methods, however, due to ranking inconsistency, the application of the robust decision making rule was adopted for solving the cutting insert MCDM problem.
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Diaz, Hugo, and C. Guedes Soares. "Micro-Siting of Floating Turbines Through Multiple-Criteria Decision-Making." In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-63752.

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Abstract Multi-Criteria Decision Methods (MCDM) as a complement to current practices for identifying an initial compromise solution to the problem of wind turbine micro-siting are proposed. MCDM deals with multiple objectives in decision-making. The main goal of these methods is to choose among several alternatives using decision criteria previously defined. The use of MCDM guarantees the identification of the alternative that better performs than all the others according to the selected criteria. After a literature review on available methods for micro-siting of offshore wind turbines in a specific location, and an introduction to the MCDM, the usefulness and potential of MCDM in siting floating wind turbines is highlighted. The MCDM methods can add new parameters to the floating wind farms’ layout process. The results of this study support the potential role of these methods as crucial tools to technology developers and decision-makers.
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Obaid, Amna, and Sameer Anand. "A MCDM Approach for Selection of Lean 4.0 tools in Manufacturing Sector." In Optimization and Artificial Intelligent Strategies for Engineering and Management. BS Publications, 2024. http://dx.doi.org/10.37285/bsp.oaisem2025.11.

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Nahoo, Saja A., and Alla Eldin H. Kassam. "Performance appraisal mechanism of universities adopted through MCDM tools: Recent progress and research trends." In 4TH INTERNATIONAL CONFERENCE ON INNOVATION IN IOT, ROBOTICS AND AUTOMATION (IIRA 4.0). AIP Publishing, 2025. https://doi.org/10.1063/5.0255255.

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Ayağ, Zeki. "A COMPARISON STUDY OF FUZZY AHP-BASED MCDM METHODS ON GREEN CONCEPT SELECTION PROBLEM." In MBP 2025 London International Conference on Management Business Practices, 22-23 April. Global Research & Development Services Publishing, 2025. https://doi.org/10.20319/icssh.2025.113114.

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The demand for green products has dramatically increased because the importance and public awareness of the preservation of natural environment was taken into consideration much more last two decades. As a result of this, manufacturing companies especially have been forced to design more green products, resulting in a problem of how they incorporate environmental issues into their design and evaluate concept options. The need for practical decision-making tools to address this problem is rapidly evolving since the problem turns into a multiple-criteria decision making (MCDM) problem in the presence of a set of green concept alternatives and criteria. Therefore, in this paper, the three popular MCDM methods in fuzzy environment are utilized to reflect the vagueness and uncertainty on the judgments of DMs, because the crisp pairwise comparison in these conventional MCDM methods seems to be insufficient and imprecise to capture the right judgments of DMs. Of these methods; as F-AHP is used to calculate criteria weights, the other methods; F-TOPSIS, and F-GRA are used to rank alternatives in the two different ways for a comparative study. Furthermore, the incorporation of fuzzy set theory into these methods is discussed on a real-life case study, and a comparative analysis is done by using its numerical results in which the two fuzzy-based methods reveal the same outcomes (or rankings), while F-GRA requires less computational steps.
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Chiang, Ziping. "Developing an Online Finanical Decision Support Module Based on Fuzzy MCDM Method and Open Source Tools." In 2009 International Conference on Information and Financial Engineering, ICIFE. IEEE, 2009. http://dx.doi.org/10.1109/icife.2009.28.

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Ajripour, Iman. "Applying MCDM Technique in analyzing the effect of promotion items based on online shopping factors." In The European Union’s Contention in the Reshaping Global Economy. Szegedi Tudományegyetem Gazdaságtudományi Kar, 2020. http://dx.doi.org/10.14232/eucrge.2020.proc.1.

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Developing technology causes companies in a market to compete with each other in challenging ways. In addition to a holistic marketing concept which focuses on the needs of target markets and delivering superior value, marketing should be adapted with new technology to fulfill consumer needs. Although many strategies have been introduced for marketing, digital marketing or marketing 4.0 is a new generation of marketing that engages with the audience through digital tools. These days, online shopping is only too popular among consumers. Many factors which affect customer decision during online shopping have been explored. In this paper, the effect of promotion items in online shopping will be explained. The main aim of this paper is to apply a multi-criteria decision-making technique in prioritizing eleven promotion items by considering five online customer shopping criteria. The novelty of this paper is to apply PROMETHEE II (Preference Ranking Organization METHod for Enrichment of Evaluations) in analyzing the effect of promotion items based on online shopping criteria. PROMETHEE II completely prioritizes discrete alternatives. A case study is conducted in a home appliance company in Iran.
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Ganesh, Lingadalu. "Novel Approach to Optimize the Ride Handling Performance by Reducing Vehicle Development Time and Cost." In International Automotive CAE Conference – Road to Virtual World. SAE International, 2024. http://dx.doi.org/10.4271/2024-28-0043.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;The automobile industry strives to develop high-quality vehicles quickly that fulfill the buyer’s needs and stand out within the competition. Full utilization of simulation and Computer-Aided Engineering (CAE) tools can empower quick assessment of different vehicle concepts and setups without building physical models.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;This research focuses on optimizing vehicle ride and handling performance by utilizing a tuning specifications range. Traditional approaches to refining these aspects involve extensive physical testing, which consumes both time and resources. In contrast, our study introduces a novel methodology leveraging virtual Subjective Rating through driving simulators. This approach aims to significantly reduce tuning time and costs, consequently streamlining overall development expenditures.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;The core objective is to enhance vehicle ride and handling dynamics, ensuring a superior driving experience for end-users. By meticulously defining and implementing tuning specifications, we aim to fine-tune various parameters affecting performance, including suspension settings and overall vehicle dynamics.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;In this study, we optimized tuning specifications using advanced software such as Adams/Car and ModeFrontier. Design of experiments and optimizations were conducted in modeFRONTIER. Utilizing a Multiple-Criteria Decision Making (MCDM) approach, we selected the best performance iteration for ride and handling from the optimized results.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;A primary advantage of our proposed methodology is the utilization of driving simulators for optimized results, extracted from the Multiple-Criteria Decision Making (MCDM) approach. After finalizing the agreement between the driving simulator and CAE results, we implemented them in the physical vehicle. By employing advanced driving simulators to simulate real-world driving conditions and collect subjective feedback on vehicle performance, we can expedite the tuning process and reduce the need for physical prototypes, leading to substantial cost savings.&lt;/div&gt;&lt;/div&gt;
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Reports on the topic "MCDM tools"

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Franzon, Paul D. Methodology, Tools and Demonstration of MCM System Optimization. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada328732.

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Piercy, Candice, Brandon Boyd, Emily Russ, and Kyle Runion. Systematic beneficial use of dredged sediments : matching sediment needs with dredging requirements. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45443.

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This technical note (TN) will outline a framework to identify beneficial and cost-effective coastal beneficial use of dredged sediment (BUDS) projects. Creation of a BUDS framework that can be applied at scale will promote sustainable BUDS practices, facilitating the delivery of flood risk management, social, and environmental benefits while still fulfilling the US Army Corps of Engineers (USACE) navigation mission. This proactive forecasting approach uses multi-criteria decision analysis (MCDA) and optimization tools to balance tradeoffs between navigation dredging and BUDS goals over project-scale timespans. The proposed framework utilizes available tools to quantify ecological system evolution and current and future dredging needs to develop a systems-level approach to BUDS. Required data include current and future information on (1) existing and planned natural and created aquatic ecological systems, which may include natural and nature-based features (NNBFs), (2) dredging requirements and costs, and (3) aquatic system physical and environmental data.
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