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1

The energy of interval valued neutrosophic matrix in decision-making to select the manager for the company project

Donbosco Jeni Seles Martina, Ganesan Deepa

Operations Research and Decisions

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2023

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Vol. 33, No. 4

35--51

EN

The concept of energy in graphs and matrices is used effectively in all application areas. The energy of the matrix is an extension of graph energy. The usage of the energy idea in neutrosophic matrices makes it more flexible and applicable in multi-criteria decision-making environments. In this paper, we propose the energy approach in neutrosophic matrices with interval values. We determined the given energy’s upper and lower bounds. The energy is used of the interval-valued neutrosophic matrix to address the MCDM problem. A new strategy has been introduced called the interval-valued neutrosophic energy method to solve this problem. We look at the problem of choosing a qualified manager for a business project. A team of professionals in the company evaluates the options using neutrosophic numbers with interval values, and the energy method is then used to calculate the result. The result has been compared with the TOPSIS method results to show that the outcomes are similar.

2

Teaching assistant selection in Thailand by using an extended VIKOR based on piecewise linear approximation of fuzzy numbers

Narabin Akan, Samutrak Phairoj

Operations Research and Decisions

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2023

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Vol. 33, No. 3

89--104

EN

Because of the COVID-19 situation, selection for a teaching assistant position to get a TA scholarship in a university in Thailand needs to be performed online by the formed committee. Due to the online process and the limited number of scholarships offered by the university, beyond the face-to-face interview, multiple-criteria decision analysis can help to select a proper student. In this study, we use the extended VIKOR method with fuzzy numbers to help committees to select the students from the applicants. The criteria and the weights of the criteria are provided with the help of committees. Both trapezoidal and triangular linguistic variables are used to find the solution and to observe the range of the possible result. The different weights supporting the strategy of maximum group utility are varied to detect the potential alternatives. The ranking results are also compared with the one obtained from the TODIM approach to illustrate the appropriate alternative.

3

Scenario planning as a new application area for TOPSIS

Gaspars-Wieloch Helena

Operations Research and Decisions

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2023

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Vol. 33, No. 2

23--34

EN

TOPSIS is a well-known approach applied to multi-criteria decision-making under certainty (M-DMC). However, recently, some analogies between this domain and scenario-based one-criterion decision-making under uncertainty (1-DMU) have been revealed in the literature. Thus, the similarities aforementioned give the possibility to adjust TOPSIS to another area. The goal of the paper is to create a new method for problems with non-deterministic parameters on the basis of TOPSIS ideas. In the suggested approach criteria weights (declared within TOPSIS) are replaced by subjective chances of occurrence which are estimated for each scenario. The novel method has an advantage over existing classical decision rules designed for 1-criterion decision-making under uncertainty since within this procedure each payoff connected with a given option is compared with the positive and negative-ideal solutions.

4

Integrating queue theory and multi-criteria decision-making tools for selecting roll-over car washing machine

Ozcalici Mehmet

Operations Research and Decisions

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2023

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Vol. 33, No. 2

99--119

EN

The study aims to develop a decision-making framework by integrating queuing theory and multi-criteria decision-making (MCDM) tools, namely TOPSIS, EDAS, CoCoSo, and TODIM to select a roll-over car washing machine for an oil station. The queue, technical and financial characteristics of the alternatives are added to the decision-making process. The decision matrix includes five criteria and five alternatives. One million weight sets are created randomly, and MCDM techniques are applied to interpret the results statistically. Results indicate that Alternative 3 is statistically superior to the others. The proposed procedure can help decision makers to make decisions when expert knowledge isn’t available, and it can be applied for other purposes by making small changes.

5

Analytical and simulation determination of order picking time in a low storage warehouse for shared storage systems

Dmytrów Krzysztof

Operations Research and Decisions

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2022

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Vol. 32, No. 2

34--51

EN

The aim of the research is comparison between average order picking times obtained using the analytical model and simulation methods for shared storage systems. We also compare the results obtained with the results obtained for dedicated storage. We assume the random and ABC-class storage (with within and across aisle storage policies). We select the locations by means of the TOPSIS method for two take-out strategies: quantity adjustment (QA) and priority of partial units (PPU). We determine the route by using s-shape and return heuristics. In most cases, the simulated average order picking times are shorter than the analytical ones. It results from not considering the criteria’ weights in calculation of the analytical order picking time. Also, the results for shared storage with QA strategy are in most cases better than for dedicated storage. This might imply an advantage of shared over dedicated storage, but needs further confirmation.

6

Multi-criteria Decision Making Using Hybrid methods for Supplier Selection in the Clothing Industry

Lahdhiri Mourad, Babay Amel, Jmali Mohamed

Fibres & Textiles in Eastern Europe

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2022

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Vol. 30, no. 2

23--34

EN

Supplier selection and evaluation are among the most critical issues in supply chain management, affecting companies’ performance because of the important role of suppliers in the chain’s profitability. For this reason, it is important for companies to have an objective methodology to evaluate and choose an appropriate supplier based on convenient criteria in a competitive market. Determination of a convenient supplier selection is a multi-criteria decision-making (MCDM) problem. In the literature, several applications of the MCDM methods for supplier evaluation and selection can be found; however, research studies in the clothing industry are still limited. Indeed, apparel supply chain managers have to consider their supplier-related decisions to reduce risks affecting the company’s performance. This study aims to fill this gap by providing apparel manufacturers with different hybrid models for selecting the best supplier. According to a literature review and questionnaire conducted, the main criteria related to supplier selection were identified and determined. Then, the analytic hierarchy process method was performed to determine the criteria’s weights, and then suppliers were ranked using hybrid multicriteria decision-making models (AHP-TOPSIS, AHP-WSM, and AHP-WPM) to select the suitable one in the apparel chain. This research methodology can be considered useful for apparel companies and other industries.

7

Developing and ranking the strategies of Zarand power plant using quantitative strategic planning matrix and best-worst method

Zangiabadi Leila, Moosavirad Seyed Hamed, Farahbakhsh Bahare, Mirhosseini Mitra

Acta Innovations

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2022

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no. 44

64--76

EN

Developing the power plants in any country is considered an economic development strategy as it changes the country’s market despite the competitive pressures. However, to grow the electricity market, policymakers need to evaluate the domestic Strengths, Weaknesses, Opportunities, and Threats (SWOT) of electric power plants. So, the necessity of a strategic plan for the power plants is inevitable to reach the goals such as eliminating the shortcomings, and meeting the desired criteria of an organization, such as more market share, acceptable profitability, customer satisfaction, increasing profit growth rate, and productivity through economic and cost-effective operations. Therefore, in this paper, the Zarand power plant in Iran is chosen as a case study to develop the associated strategies and rank them. A power plant strategic plan was generated by using a SWOT matrix. Then, the developed strategies were prioritized using a quantitative strategic planning matrix (QSPM) and the best-worst method (BWM). The results confirm that developing the main product (electricity power), managing water consumption, and providing equipment are the most critical strategies for the Zarand power plant. Findings also demonstrated that the results of the BWM method are more accurate and correct than the QSPM method for prioritizing strategies.

8

A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies

Kokoç Melda, Ersöz Süleyman

Operations Research and Decisions

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2021

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Vol. 31, No. 4

89--116

EN

Multi-criteria decision-making (MCDM) is one of the most popular problems handled by researchers in the literature. Since the interval-valued intuitionistic fuzzy set (IVIFS) theory generates as realistic as possible evaluation of linguistic expressions, researchers have been expanding traditional MCDM methods to the IVIF environment, especially in the last decade. This study provides a literature review of the relevant articles from several academic databases on applications of IVIF-MCDM methods. The review of 131 publications addresses specific research questions. To understand the research publication trend, this review offers a visual analysis that examines the studies from different perspectives, such as application areas, IVIF-MCDM methods, citations, most relevant journals, and validation methods. One of the most remarkable results of the literature review is that most publications in this field are published in SCIE indexed journals. Another noteworthy issue is that China is the country that produces the most articles in this field. In addition, English journals are mostly selected for the publication of articles. While it is seen that the investment selection problem is chosen mostly as the application area, the TOPSIS method is preferred mostly in the applications. This study stands out as the most comprehensive one that compiles publications containing extended traditional MCDM methods for IVIF sets. This review will be an important reference for future researchers and decision-makers involved in advancing MCDM methods considering vagueness and ambiguity.

9

Evaluation of sustainable supplier problem: a hybrid decision making model based on SWARA-WASPAS

Erdogan Hande, Tosun Nedret

LogForum

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2021

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Vol. 17, no. 4

465--476

EN

Background: The fierce competitive advantage in the global market depends largely on the integration of all supply chain networks. This network facilitates the movement of information and materials through the suppliers and end customers with a focus on planning and managing. This integration can result in the meeting demands of customer orders being affected by the performance of the suppliers. As a result of this integration, it can be considered that the performance of the suppliers is important in fulfilling customer orders on time. Evaluating and selecting suppliers is greatly influencing the performance of the supply network. Methods: Selecting the proper supplier is a multi-criteria decision-making problem which includes both quantitative and qualitative criteria. A two-stage decision making method is proposed in the study under sustainability dimension. First, SWARA method is used to determine the relative importance of criteria and than WASPAS method is used to evaluate and rank the given alternatives. Results: A real-life case study is given for the selected approach. Also, sensitivity analysis is given. This selected alternative confirms the preferences of decision makers as it is a company that operates internationally and has a reputation and awareness in sustainability within its own country. Conclusions: Due to the increase in awareness on sustainability and the resulting regulations, the issue of sustainability in supply chains and sustainable supplier selection has become an important issue for companies. It is aimed to examine the supplier selection of a company in an electronics sector on a "sustainable" basis, considering from economic, environmental and social aspects. In this study, which was carried out to fill the literature gap identified in this field and to propose a systematic approach to sustainable supplier selection, a hybrid method which consists of both SWARA and WASPAS method have been used to evaluate the suppliers under the sustainability dimensions. With the help of a hybrid model, decision makers can manage conflict management of individual challenges using an analytical process.

10

Multi-criteria decision-making on road transport vehicles by the AHP method

Baric Danijela, Zeljko Luka

Archiwum Motoryzacji

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2021

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Vol. 94, nr 4

17--26

EN

Decision-making processes require the selection of appropriate and choose the optimal solution for implementation. This means that different criteria and their sub-criteria evaluate various alternatives of possible solutions to determine the optimal solution. The research focuses on an Analytic Hierarchy Process (AHP) as one of the multi-criteria decision-making (MCDM) methods and its implementation to evaluate road transport vehicles. The AHP is one of the most used methods for evaluating projects in transport and traffic area. This paper presents a comprehensive review of studies on road transport vehicles evaluated by the AHP method. To gather research articles for the study, several databases such as Web of Science and Scopus were searched. The focus of the research is on road transport vehicles but the performance of the AHP method in the road sector, in general, is briefly reviewed. The results show that most of the studies use AHP for the evaluation of electric and autonomous vehicles. Finally, research results are discussed and recommendations for future research are proposed.

11

Interval-valued dual hesitant fuzzy prioritized aggregation operators based on Archimedean t-conorm and t-norm and their applications to multi-criteria decision making

Sarkar Arun, Biswas Animesh

Archives of Control Sciences

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2021

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Vol. 31, No. 1

213--247

EN

Multi-criteria decision making (MCDM) technique and approach have been a trending topic in decision making and systems engineering to choosing the probable optimal options. The primary purpose of this article is to develop prioritized operators to multi-criteria decision making (MCDM) based on Archimedean t-conorm and t-norms (At-CN&t-Ns) under interval-valued dual hesitant fuzzy (IVDHF) environment. A new score function is defined for finding the rank of alternatives in MCDM problems with IVDHF information based on priority levels of criteria imposed by the decision maker. This paper introduces two aggregation operators: At-CN&t-N-based IVDHF prioritized weighted averaging (AIVDHFPWA), and weighted geometric (AIVDHFPWG) aggregation operators. Some of their desirable properties are also investigated in details. A methodology for prioritization-based MCDM is derived under IVDHF information. An illustrative example concerning MCDM problem about a Chinese university for appointing outstanding oversea teachers to strengthen academic education is considered. The method is also applicable for solving other real-life MCDM problems having IVDHF information.

12

Evaluation of medical service quality based on a novel multi-criteria decision-making method with unknown weighted information

Zhao Butian, Zhang Runtong, Xing Yuping

Archives of Control Sciences

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2021

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Vol. 31, No. 3

645--685

EN

In modern society, people concern more about the evaluation of medical service quality. Evaluation of medical service quality is helpful for medical service providers to supervise and improve their service quality. Also, it will help the public to understand the situation of different medical providers. As a multi-criteria decision-making (MCDM) problem, evaluation of medical service quality can be effectively solved by aggregation operators in interval-valued q-rung dual hesitant fuzzy (IVq-RDHF) environment. Thus, this paper proposes interval-valued q-rung dual hesitant Maclaurin symmetric mean (IVq-RDHFMSM) operator and interval-valued q-rung dual hesitant weighted Maclaurin symmetric mean (IVq-RDHFWMSM) operator. Based on the proposed IVq-RDHFWMSM operator, this paper builds a novel approach to solve the evaluation problem of medical service quality including a criteria framework for the evaluation of medical service quality and a novel MCDM method. What’s more, aiming at eliminating the discordance between decision information and weight vector of criteria determined by decisionmakers (DMs), this paper proposes the concept of cross-entropy and knowledge measure in IVq-RDHF environment to extract weight vector from DMs’ decision information. Finally, this paper presents a numerical example of the evaluation of medical service for hospitals to illustrate the availability of the novel method and compares our method with other MCDM methods to demonstrate the superiority of our method. According to the comparison result, our method has more advantages than other methods.

13

Application of entropy weighting method for urban flood hazard mapping

Malekinezhad Hossein, Sepehri Mehdi, Pham Quoc Bao, Hosseini Seyed Zeynalabedin, Meshram Sarita Gajbhiye, Vojtek Matej, Vojteková Jana

Acta Geophysica

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2021

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Vol. 69, no. 3

841--854

EN

Flooding is one of the most frequently occurring natural hazards worldwide. Mapping and assessment of possible flood hazards are critical components of the evaluation and mitigation of flood risk. In this study, six flood-related indices, i.e., slope, elevation, distance to discharge channel, runof volume, street-drainage network intersection, index of the development and persistence of the drainage network (IDPR), were used to assess the flood hazard. The entropy weighting method was used for assigning the weights to flood-related indices and combining them to prepare urban food hazard mapping in Hamadan city. The produced map showed that nearly 20% of the study area (14.7 km2 ) corresponded to very high susceptibility to flooding, 19.4% (143 km2 ) to high susceptibility and 20.3%, 20.7% and 19.6% regard the moderate, low and very low susceptibility to flooding, respectively. Finally, two methods were used to evaluate the accuracy of the produced food susceptibility map. The frst method is related to assessing the behavior of the map by making and propagating error in foodrelated indices and used model (entropy weighting method), and the second method is superimposing method. The results showed that by making and propagation of error, the behavior of producing food susceptibility mapping, the produced map has a robust behavior either in ranking importance of flood-related indices and percentage of food susceptibility areas. On the other hand, regarding the result of the superimposing method, the accuracy of the flood susceptibility map was 72%, which also suggests an acceptable result.

14

Recovery alternatives decision by using fuzzy based preference selection index method

Sari Emre Bilgin

LogForum

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2020

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Vol. 16, no. 1

171--181

EN

Background: The electrical and electronics sector has become one of the rapidly developing and growing sectors, as a result of technological and economic developments. Rapid changes in consumer demands and needs have increased the use of electrical and electronic equipment and shortened product life cycle, resulting in an increase in equipment waste. Therefore, recovery alternatives for electrical and electronic equipment waste should be considered subject. The aim of this study is to evaluate the recovery alternatives of electrical and electronic wastes and to determine the best. Methods: Multi-criteria decision-making techniques used to select the best among multiple alternatives have many application areas. The selection of recovery alternatives based on criteria includes some fuzzy topics. For this reason, the fuzzy logic approach was used to evaluate the answers of the decision makers and the fuzzy numbers obtained were analyzed by PSI method and criterion weights were determined and alternatives were listed. Results: According to results of analysis, social responsibility and environmental awareness criteria have the highest values for selecting recovery alternatives. In addition, remanufacturing, regeneration and recycling take the first place among the alternatives. Conclusions: Recovery of electrical and electronics waste is an important subject in current conditions. Alternative methods vary from reuse to incineration, but correct choice of recovery techniques rely on multi criteria and decision should be made adhering to them.

PL

Wstęp: Przemysł elektryczny i elektroniczny to gałęzie przemysłu o dużej dynamice wzrostu i rozwoju, będącej wynikiem rozwoju technologicznego i ekonomicznego. Gwałtowne zmiany popytu i potrzeb konsumentów wpłynęły na wzrost zapotrzebowania na sprzęt elektroniczny oraz skróciły cykl życia produktu, co w efekcie doprowadziło do zwiększenia ilości odpadów sprzętowych. Dlatego też istotnie jest zajęcia się tematyką odzyskiwania części ze zużytego sprzętu elektrycznego i elektronicznego. Celem pracy jest ocenienie metod odzyskiwania elementów ze zużytych sprzętów oraz wybór najlepszej z tych metod. Metody: W wielu obszarach stosuje się techniki wielokryterialne podejmowania decyzji w celu dokonania wyborów pomiędzy różnymi alternatywami. Wybór metody odzyskiwania w oparciu o kryteria obejmuje zagadnienia modeli rozmytych. Z tego też powodu, zastosowano logikę rozmytą do oceny odpowiedzi osób decyzyjnych a uzyskanie liczby rozmyte zostały poddane metodzie PSI, w wyniku której uzyskano kryteria ważone jak i listę alternatyw. Wyniki: Na podstawie uzyskanych wyników stwierdzono, że kryteria odpowiedzialności i świadomości ekologicznej mają najwyższą wartość przy selekcji metod odzyskiwania. Dodatkowo, najczęściej wybieranymi metodami były: przerób, regeneracja oraz recykling. Wnioski: W istniejących obecnie uwarunkowaniach, odzyskiwanie elementów ze zużytego sprzętu elektrycznego i elektronicznego jest bardzo ważne. Metody alternatywne obejmują całą paletę od ponownego użycia do spalenia, jednakże prawidłowy wybór stosowanej techniki odzysku powinien opierać się na wielokryterialnym procesie decyzyjnym.

15

Development of a hybrid meta-model for material selection using design of experiments and EDAS method

Chatterjee P., Banerjee A., Mondal S., Boral S., Chakraborty S.

Engineering Transactions

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2018

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Vol. 66, iss. 2

187--207

EN

Selection of materials for a specific application is one of the extremely demanding problems in a synchronised manufacturing environment as it directly determines perceptible quality and cost of the product. Material selection is a complex process, intending to choose the best material while satisfying a pre-decided set of requirements. Material selection decision is made during preliminary product design stage. An improperly chosen material leads not only to an early component failure but also to a redundant cost involvement. There are numerous materials and various criteria influencing the material selection process for a particular application. Although a good amount of multi-criteria decision-making (MCDM) methods are available to deal with this type of selection applications, this paper aims to propose a hybrid method of design of experiments (DOE) and evaluation based on distance from average solution (EDAS) to solve material selection problems in current industrial applications. DOE and EDAS are used jointly to determine the critical material selection criteria and their interactions by fitting a polynomial to the experimental data in a multiple linear regression analysis. A gear material selection problem is demonstrated to establish the application competence of the DOE-EDAS method. Application results were validated with the results of the previous researchers and they indicate that the proposed DOE-EDAS hybrid model is straightforward, robust and practical in solving complex MCDM problems.

16

Optimum site selection for oil spill response center in the Marmara Sea using the AHP-TOPSIS method

Koseoglu B., Buber M., Toz A. C.

Archives of Environmental Protection

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2018

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Vol. 44, no. 4

38--49

EN

The aim of this study is to determine the optimum location for an oil spill response center in the Marmara Sea. The analytic hierarchy process (AHP) and technique for the order of preference by similarity to ideal solution (TOPSIS) method as the most preferred multi-criteria decision-making (MCDM) technique were used. The results reveal that the LOC criterion and PRA sub-criterion have the highest effects on the optimal location selection of the oil spill response center. According to the results, the most suitable location for the oil spill response center in the region is Izmit Bay Entrance. This location has been proposed for the response headquarters to manage the whole operation with the assistance of auxiliary installations in the area. In this study, only technical and operational variables are taken into account, but political and administrative criteria are excluded.

17

Zastosowanie metody COMET w zarządzaniu łańcuchem dostaw i logistyce

Sałabun W.

Logistyka

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2015

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nr 3

4284--4290, CD 1

PL

Artykuł prezentuje nową rozmytą metodę wielokryterialnego wspomagania podejmowania decyzji. Metoda COMET jest alternatywnym wyborem dla metody AHP, TOPSIS, ELECTRE oraz PROMETHEE. Artykuł przedstawia możliwość zastosowania metody COMET w zarządzaniu łańcuchem dostaw oraz logistyce. W tym celu pokazany jest krótki przegląd literatury. Następnie szczegółowo omówiona zostaje metoda COMET. Na zakończenie artykuł przedstawia przykład zastosowania metody w prostym problemie.

EN

This paper presents a new multi-criteria decision-making method: the COMET method. This approach is an alternative for AHP, TOPSIS, ELECTRE or PROMETHEE methods. The paper presents the possibility of using the COMET method in supply chain management (SCM) and Logistics. For this purpose, a brief review of the literature is shown. Then the COMET method is presented in detail. At the end of the article, a simple problem is shown.