MCDM Methods Research Articles

A Hybrid Fuzzy Multi-Criteria Decision-Making Model for Evaluating the Influence of Industry 4.0 Technologies on Manufacturing Strategies

Manufacturing is transitioning from traditional and mass manufacturing to mass personalization, fast, and intelligent production. Through full automation in various fields and data sharing, Industry 4.0 (I4.0) contributes to the digitalization of manufacturing by enhancing industrial flexibility and product customization. I4.0 is being utilized as a strategy for advanced manufacturing to counter global competitiveness. A company’s manufacturing strategy outputs (MSOs) are critical to its ability to move forward and remain competitive. Despite their importance, I4.0 technologies have received less attention in the literature, and it is unclear how they influence MSOs. Thus, this study aims to build a powerful hybrid MCDM method for ranking the influence of I4.0 technologies on MSOs by adopting a combination of AHP and fuzzy TOPSIS. The application of fuzzy set theory has addressed the ambiguity in comparing various I4.0 technologies. The AHP was used to calculate the weights of criteria and sub-criteria, and the fuzzy-TOPSIS method was utilized to rank the I4.0 technologies. The results revealed that the cost criterion is the most critical factor when implementing I4.0 technologies. In contrast, additive manufacturing (AM) is the most suitable I4.0 technology for countering global competition.

Bozova Groundwater Quality Modeling And Evaluation Using Fuzzy Ahp Method Based On Gıs Technique

One of the most important elements of economic growth and sustainable development in ecological balance is water. However, today, water, unlike the important natural resources of all periods, is in a state of international crisis; population is increasing on the other hand, water resources are decreasing and our planet is experiencing an increasingly dry period. People have already begun to feel the concern that they will not find water in the future and to take their precautions. In addition to the ever-increasing need for water in our country, the control and prevention of groundwater pollution are also gaining importance. In this study, samples taken from well waters consumed as drinking, irrigation and utility water in Bozova basin were analyzed according to the criteria specified in the Regulation on Water Intended for Human Consumption. It is aimed to establish a model for the groundwater quality of the site and to identify areas with high water quality. Water samples from 16 separate wells were obtained for this, and the results were then assessed using the F-AHP approach, one of the GIS supported MCDM methods. Groundwater quality maps were first classified by raster and then by reclassify in the Arc map environment. Afterwards, a groundwater pollution map was created by weighting the parameters in the F-AHP application. Finally, these parameters were interpreted and suggestions were made.

Application of Geospatial Techniques and the MCDM Method to Optimize Interlinking of Rivers in India

Application of Geospatial Techniques and the MCDM Method to Optimize Interlinking of Rivers in India

Elimination of the Domains’ Displacement of the Normalized Values in MCDM Tasks: The IZ-Method

Decision matrix normalization is an important step in ranking-based MCDM methods. Different normalization methods can produce different final rankings. The paper provides an overview and defines the invariant properties of the basic linear methods of multidimensional normalization. It is shown that one of the essential reasons for the variation of the ranking depending on the normalization method is the domains’ displacement of the normalized values of various attributes relative to each other. An IZ-method for multidimensional normalization is proposed, which eliminates the domains’ displacement. The IZ-method ensures the preservation of dispositions of natural values of attribute, provides symmetry in an orientation toward optimizing costs and benefits, processes the zero and negative values, and eliminates the priority of the contributions of various criteria to the performance indicator of alternatives. The IZ-method converts multivariate data to a single common scale and represents a class of multivariate normalization methods that convert data to isotropic scales. The IZ-method allows binding to the scale of any feature or to the scale chosen by the decision maker. Efficiency of the IZ-method is postulated by the totality of the fulfillment of the basic principles and required properties for multidimensional normalization.

Supplier selection for aerospace & defense industry through MCDM methods

Supplier selection for aerospace & defense industry through MCDM methods

The effect of currency protected deposits on financial performance of participation banks

Purpose- The aim of this study is to measure the effect of the Currency Protected Deposit (KKM) application, which entered into force on December 21, 2021, on the financial performance of participation banks.. Methodology- In the study, a hybrid MCDM method consisting of CRITIC and WASPAS methods was used to measure the effect of Currency Protected Deposit on the financial performance of participation banks. The data regarding the banks in question have been compiled from the website of the Banking Regulation and Supervision Agency (BDDK). Within the scope of the study, 12-month data for 2021 and 9 months for 2022 were included in the analysis. Financial performance of participation banks was evaluated on 5 criteria: Total Dividend Income, Return on Assets, Return on Equity, Operating Expenses/Total Assets, Foreign Resources/Total Equity. Findings- As a result of the analysis made within the scope of the study, it has been determined that the criterion with the highest weight in determining the financial performance of participation banks is the Operating Expense / Total Assets criterion. According to the results of the WASPAS method, it was determined that the participation banks showed the worst performance in the period under consideration in May 2021. The period with the best performance was determined as September 2022. Conclusion- The results of the analysis conducted within the scope of the study show that the performance of participation banks fluctuated in 2021 and there was a decrease in their performance during the period under consideration. It has been determined that the financial performance of participation banks has increased with the Currency Protected Deposit (KKM) application, which came into effect in December 2021, and the performance increased continuously in 2022 in general, and the best performance was shown in September 2022.. Keywords: Participation bank, financial analysis, financial performance JEL Codes: D81, G21, L25, P47

An Integrated Fuzzy MCDM Method for the Evaluation of R&D Projects

Research and development (R&D) activities are essential to guarantee continuity of firms, meet customer requirements and keep ahead in competition. R&D project selection constitutes a significant part of project management in order to achieve the desired results and outputs. In this study, an integrated fuzzy multi-criteria group decision making approach is developed for R&D project selection. The problem includes a hierarchical structure of the criteria, uncertainty in evaluating the relative importance of criteria/sub-criteria and rating of candidate projects. The method employs the ordered weighted average (OWA) operator as the aggregation operator, which helps to fully reflect the real behavior of the decision makers in group decision making problems. Fuzzy integral method, which does not require the assumption of the mutual independence of criteria, is used to rank the alternatives. The case study is conducted in a small-sized company in Turkey, which designs and produces special purpose machines. A R&D project selection model is developed to maximize the desired outputs. The results of the analysis show that technological, environmental, marketing, organizational, national and financial issues should be considered simultaneously in the evaluation process. The proposed method is shown to be efficient, generalizable and practical and it has several significant merits compared to the other methods.

Integrated MCDM Approaches for Exploring the Ideal Therapeutic Plastic Disposal Technology: Probabilistic Hesitant Fuzzy Domain.

The probabilistic hesitant fuzzy set (PHFS) is a useful extended version of the hesitant fuzzy set (HFS), which allows decision-makers greater freedom in espousing their preferences through the use of hesitant evidence in the real DM method. As the implications for individuals and global concerns have grown, efficient clinical diagnosis of medical waste has been a major challenge, particularly in developing countries. Medical waste can be disposed of in a variety of ways. The essential thing is to decide which strategies work best. The optimal healthcare plastic waste disposal (HCPWD) option is a MCDM method involving a wide range of qualitative characteristics. The MCDM technique (ARAS) is then described, whereby the criterion weights are assessed using the recommended entropy weighted method (EWM) proportion and score function in order to increase the process utilisation. Moreover, the above-described approach is used to address a real-world problem by determining the optimal treatment option for healthcare waste (HCW) disposal. Finally, a feasibility analysis is given to support the stated viewpoint on HCPWD options being prioritised.

A new thrust vector-controlled rocket based on JOA using MCDA

A thrust vector-controlled rocket model consists of army science board model responsible for computing the angles of the gravity center with a directivity of trajectory positions (x, z). A thrust vector-controlled rocket model is known to be #TVCASB for fall trajectory correction solving, but the falling issue of the trajectory correction is a hard when restricted to ASB model. In this work, we study TVCASB model, a mathematical model of TVCASB calculating which involves ASB variables in addition to position variables, and refer to this question: Why falling issue of the trajectory and correction of TVC is a hard on ASB model? Depend on MCDM results from JOA cases, we show that four MCDM methods can choose the better case for a two pieces of fractional order proportional integral derivative controller when set tuning process for TVC model on ASB with a suitable falling of trajectory correction whether be limited or specified for a high or low distance for the rocket motion. Our multi criteria decision making methods are based on mathematical calculations via three cases were proposed by JOA for rocket parameter estimation with a behavior of it, and in the following MCDM methods involving, MCDM normalization, MCDM WSM and WPM, MCDM VIKOR, are gave case 3 lower and upper bounds (0–100) is specified for a high distance and MCDM TOPSIS is gave case one lower and upper bounds (0–1) is limited for a lower distance, and pose this question: Why the MCDM methods are gave different results of JOA cases for TVCASB model? and which one between cases is better? The first reason, there is a different in mathematical calculation for weights assign. The second reason, three mentioned above methods are used for a high and specified distance for fall trajectory correct and MCDM TOPSIS is used for a limited distance, the better case between cases depends on our need whether a high (specified) or a limited (lower) distance.

Identification of innovative technology enablers and drone technology determinants adoption: a graph theory matrix analysis framework

Two main things ensure technology is integrated into a system: enablers, which help technology get in; and determinants, which act as filters to ensure that the right technology gets in. The study develops a decision framework for ranking determinants of drone technology adoption from the perspective of enablers related to innovative technology integration. This study is based on qualitative expert opinion and quantitative integrated MCDM methods. It provides a valuable graph theory matrix analysis framework for managerial perspectives. Several insights are given into the areas of what makes it possible to use new technologies and what makes people adopt drone technology. The study also points out problems and places where more research is needed.

The assessment of the key success factors for digital transformation based on MCDM method: The case study of an automotive company

The assessment of the key success factors for digital transformation based on MCDM method: The case study of an automotive company

A STEEP based hybrid multi-criteria decision making model for the evaluation of battery recycling plant location

PurposeIncreased demand for new batteries and strict government protocols have stressed the battery industries to collect and recycle used batteries for economic and environmental benefits. This scenario has forced the battery industries to collect used batteries and establish the formal battery recycling plant (BRP) for effective recycling. The starting of BRP includes several strategic decisions, one of the most critical decisions encountered is to find the best sustainable location for BRP. Hence, this paper aims to address the complexity of the issues faced during the BRP location selection through a hybrid framework.Design/methodology/approachIn this study, the criteria are identified under socio-cultural, technical, environmental, economic and policy and legal (STEEP) dimensions through literature review and experts' opinions. Then, the hybrid methodology integrating fuzzy decision making trial and evaluation laboratory (DEMATEL), best worst method (BWM) and technique for order preference by similarity to an ideal solution (TOPSIS) has been proposed to find the inter-relationship between criteria, the weights of criteria and the best alternative.FindingsThe identified five main criteria and 26 sub-criteria have been analyzed through fuzzy DEMATEL, and found that the policy and legal criteria have more inter-relationship with other criteria. Then from BWM results, it is found that the support from government bodies has attained the maximum weightage. Finally, the second alternative has been identified as a more suitable location for establishing BRP using TOPSIS. Further, it is found from the results that the support from government bodies, the impact of emissions, availability of basic facilities and community health are the essential criteria under STEEP dimensions for establishing BRP.Originality/valueIn addition to the various existing sustainable criteria, this study has also considered a set of policy and legal criteria for the evaluation of locations for BRP. Further, the hybrid MCDM method has been proposed in this study for selecting the best alternative. Thus, this study has yielded more insights to the decision-makers in choosing a sustainable location for BRP.

A SPATIAL PLANNING SUPPORT SYSTEM FOR WIND FARM CONSTRUCTION WITH MACRO AND MICRO PERSPECTIVES

Abstract. Wind energy is well-known Renewable energy that contributes to countries achieving their sustainable development goals, so governments have planned to increase electricity generation from wind energy in recent years. Selecting suitable places for installing wind farms is one of the most challenging parts of wind energy projects because of the necessity of identifying various parameters, which is considered a site selection problem and needs spatial planning to solve. Furthermore, in constructing a wind farm, finding the optimum placement of wind turbines, known as the wind farm layout optimization (WFLO) problem, is crucial for obtaining maximum total power capacity while minimizing the number of turbines installed. In this research, the analysis is divided into two macro and micro levels to find an efficient and comprehensive approach. In the first level, after removing the restricted area, the MCDM method is used to find the most suitable sites, considering economic, social, and environmental criteria. After selecting one of the most suitable areas located in the middle of Alborz province, the GA algorithm as a meta-heuristic method is employed to solve the WFLO problem at the micro level. The essential criterion in this level is the wake effect among turbines which is simulated according to the Jensen model. As a test case, the selected area was subdivided into 144 cells that, after micro siting, 28 V47-660-45 turbines were placed, which could have a total power of 8732.283 kW capacity.

Application of evidence reasoning algorithm and QUALIFLEX with single-valued neutrosophic set for MCDM

Multi-criteria decision-making methods often include attributes with uncertain nature in practical applications, single-valued neutrosophic set is an important approach to solve above problem. QUALIFLEX method is a traditional decision method that makes decision by comparing different permutations of alternatives. In this paper, QUALIFLEX method is developed to solve the MCDM problem with the element of decision matrix is the single-valued neutrosophic number. Besides, since the defects of the original QUALIFLEX method about fusing information of different attributes, this paper uses Dempster-Shafer theory of evidence to integrate the information about weight and alternatives. Finally, by comparing the result with other MCDM methods, we find that the new method can not only obtain reasonable results, but also explain the decision results by probability theory. This paper not only develops the traditional MCDM method, but also a meaningful attempt to apply AI algorithm in MCDM method.

An integrated QFD and fuzzy TOPSIS approach for supplier evaluation and selection

PurposeSupplier evaluation and selection is an essential (multi-criteria decision-making) MCDM process that considers qualitative and quantitative factors. This research work attempts to use a MCDM technique based on merging fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS) and Quality Function Deployment (QFD) ideas. The study attempts to find the supplier's attributes (HOWs) to accomplish its goals after determining the product's characteristics to suit the company's needs (WHATs).Design/methodology/approachThe proposed research methodology comprises the following four steps: Step 1: Determine the product purchase requirements (“WHATs”) and those pertinent to supplier evaluation (“HOWs”). In Step 2, the relative importance of the “WHAT-HOW” correlation scores is determined and also the resulting weights of “HOWs”. In Step 3, linguistic evaluations of possible suppliers in comparison to subjective criteria are given to the decision-makers. Step 4 combines the QFD and F-TOPSIS techniques to select suppliers.FindingsA fuzzy MCDM method based on fusing and integrating fuzzy information and QFD is presented to solve the drawbacks of conventional decision-making strategies used in supplier selection. Using the F-TOPSIS method, fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS), the relative closeness coefficient values for all alternatives are computed. The suppliers are ranked by relating the closeness of coefficient values. This method permits the combination of ambiguous and subjective data expressed as fuzzy-defined integers or linguistic variables.Originality/valueQFD and TOPSIS, two widely used approaches, are combined in this article to rank and evaluate suppliers based on the traits that the suppliers choose to prioritize. This study demonstrates that the method employed could address multiple-criteria decision-making scenarios in a computationally efficient manner. The effectiveness and applicability of the method are illustrated using an example.

A Novel Mcdm Method: The Integrative Reference Point Approach

A Novel Mcdm Method: The Integrative Reference Point Approach

Neutrosophic Multi-Criteria Decision Making COMET Method for Evaluation Sustainable Electricity Generation Considering Renewable Energy Sources

Considering renewable energy sources in assessments of sustainable electricity production is essential for accelerating the shift to a greener and more sustainable energy system. The evaluation takes into account a wide range of factors, such as the renewable energy source, carbon footprint, energy efficiency, environmental impact, grid integration, policy support, cost, social and economic implications, technological progress, and certification for transparency. Sustainable power deployment may be hastened via careful consideration of these aspects by policymakers, energy planners, and other stakeholders. This paper shows the hybrid multi-criteria decision-making method with the single-valued neutrosophic set. The single valued neutrosophic set was used to overcome the vague information. The single valued neutrosophic set hybrid with the Characteristic Object METhod (COMET) method. The COMET method is an MCDM method. It is used to rank the alternatives. This paper used ten criteria and ten alternatives. The application is conducted to show the results of the proposed method.

Supplier selection in supply chain network using MCDM methods

Supply Chain Management (SCM) is an important factor for the success of companies, and competitive advantages provided by SCM methods are essential for sustainability in today’s conditions. Under these circumstances, companies must successfully adapt to technology, customer expectations, and supplier management requirements to move ahead of other competitors. One of the important and strategic steps for supply chain management is the supplier evaluation and selection process. In this process, companies prefer multi criteria decision making methods rather than traditional methods because of the large number of supplier alternatives and the variety of evaluation criteria. Considering the aforementioned economic and competitive conditions, a supplier evaluation and selection method has been developed for a company which is operating in defense industry by using multi-criteria decision making methods. In accordance with the purpose of building an effective and sustainable system, Analytical Hierarchy Process (AHP) method has been implemented for the prioritization of the determined supplier evaluation criteria. TOPSIS method has been used to make an ideal selection and to rank among the alternative suppliers by using criterion prioritization determined by AHP method. In order to ensure the continuity of using these methods in the company, an Excel based software written with VBA programming language has been developed. The upgradeable data structure of this program aims to create a fast and effective decision making process under changing conditions. The feature that makes this study unique from other studies in the literature is that, as a result of the analysis performed with data specific to the defense industry sector, the ideal supplier rankings for six different business types are determined and also the created software is used for keeping preferred methods available any time in order to support decision makers in the selection processes of suppliers.

Assessment of renewable energy sources using MCDM method: Case study

Energy is a prerequisite for development of today's economies and societies. Renewable energy sources (RES) are gaining increasing importance and share in the energy systems of many countries. However, assessment and selection among different renewable energy sources request analyzing numerous criteria, limitations, legal regulations etc. For this reason, multi-criteria decision-making methods (MCDM) are often used in the literature and in practice for the assessment of RES projects/technologies. From numerous MCDM methods in this paper analytical hierarchy process (AHP) is selected to assess solar, wind, photovoltaic and biomass sources in Kosovo*. According obtained results first ranked is hydro alternative. Also, for results obtained, sensitivity analysis is conducted. Its show that changes in rank occur exclusively outside the allowable values, so it can be concluded that the results obtained are relevant.

A Systematic Review of Analytic Hierarchy Process Applications to Solve Transportation Problems: From 2003 to 2022

Transportation improvements affect technological and socio-economic development, and several scholars have researched various transportation problems. The current study aims to illustrate a thorough review of those transport problems, where the Analytic Hierarchic Process (AHP) is used for enumerating the related criteria and alternatives. A systematic review methodology, the PRISMA protocol, is applied in the review process. The contribution of this work is highlighted along with the extensions of the AHP improving decision-making support. To this end, current research demonstrates the relevant results of 58 papers published from 2003 to 2019. The results indicated that most researchers applied the conventional AHP method to deal with transportation issues, while the most critical issue was public transport, followed by logistics problems. On top of that, TOPSIS was integrated with AHP more than other MCDM methods when dealing with multi-criteria transportation problems. Moreover, the “Transportation Research Part A: Policy and Practice” journal achieved first place by publishing ten papers on the topic, and the highest number of articles was published in 2018. The results are discussed adequately, and in the conclusion, policy implications are presented.