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1

Fuzzy multiple criteria group decision-making in performance evaluation of manufacturing companies

Salehi Sara

Applied Computer Science

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2023

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Vol. 19, no 3

28--46

EN

In today's competitive industry landscape, it is crucial to assess manufacturing processes to enhance efficiency. However, identifying the critical factors that impact productivity can be a daunting task due to their intricate nature. To tackle this challenge, we propose a novel approach that combines fuzzy logic with TOPSIS to comprehensively evaluate manufacturing company efficiency. The method presented by the author treats this as a complex MCDM problem and accommodates diverse factors with distinct weights, which are crucial for a thorough efficiency analysis. This approach was applied to evaluate potential manufacturing entities in Cyprus through a three-step process. Firstly, relevant criteria were curated using literature and expert insights, endowing them with linguistic terms that were then translated into fuzzy values. Next, fuzzy TOPSIS evaluated efficiency, and sensitivity analysis gauged the criteria weight impact on decisions. This article introduces a new methodology for holistic manufacturing company evaluation. The synergy of fuzzy-set theory and TOPSIS proves effective amidst the ambiguity inherent in performance measurement. By uniting these methodologies, this study advances manufacturing performance evaluation, aiding informed decision-making. The research contributes a pioneering method to enhance manufacturing efficiency assessment while accommodating uncertainty through fuzzy logic integration.

2

Comparison of profits of effective portfolios with non-effective portfolios taking into account the fuzzy approach

Pośpiech Ewa

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2021

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z. 150

199--212

EN

Purpose: The aim of the article is to compare the results of the constructed effective portfolios and non-effective portfolios build on the basis of the value of the indicator constituting a synthetic assessment of decision variants. Design/methodology/approach: The article uses the multi-criteria TOPSIS method in the standard and fuzzy approach. It was used to evaluate listed companies that were examined in terms of selected fundamental and market characteristics. Taking into account the fuzzy method made it possible to treat the values of criteria from three years as triangular fuzzy numbers, and the values of the measure on the basis of which the ranking was created were also used to build non-effective portfolios. Findings: A multi-criteria evaluation of selected listed companies was performed and, on the basis of the obtained rankings, the sets constituting the basis for the construction of effective and non-effective portfolios were selected. The designated effective portfolios (after pre-selection using the FTOPSIS method) were in most cases more profitable than the market portfolio, while the non-effective portfolios, using TOPSIS as the pre-selection method, were (with one exception) more profitable than the effective portfolios. Research limitations/implications: It was not possible to unequivocally recommend the approach used, although the results appear promising. Practical implications: Taking into account the proposed approach, one can methodically build more profitable and more attractive portfolios. Originality/value: Non-standard approach to criteria assessments and the use of metacriterion values to determine the portfolio structure. The considerations may be of interest to stock market investors.

3

A fuzzy-TOPSIS model for maintenance outsourcing considering the quality of submitted tender documents

Alshraideh Maysa, Ababneh Shereen, Gunay Elif Elcin, Al-Araidah Omar

Eksploatacja i Niezawodność

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2021

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Vol. 23, no. 3

443--453

EN

The paper provides a multiple-experts Fuzzy-TOPSIS decision-making model for the selection among maintenance contractors based on the quality of tendering documents. The study introduces a set of selection criteria utilizing benefit and cost criteria from literature. The proposed model aggregates subjective linguistic assessments of multiple experts that express their opinions on the degree of importance of criteria and allows multiple decisionmakers to evaluate the compliance of contractors’ documents. For a case study, the model is applied to select among contractors tendering to maintain the heavy-duty cranes of an international steel company from literature. Several decision-making scenarios are investigated, and major changes in the final decision are observed. The changes in obtained results illustrate the need to better address uncertainties in rating and tendering an overqualified contractor at a higher cost.

4

Strategy Development for the Turkish Ready-Made Garment Sector Using SWOT Analysis – Fuzzy TOPSIS Method

Ozbek Ahmet, Pabuccu Hakan, Esmer Yusuf

Fibres & Textiles in Eastern Europe

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2020

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Vol. 28, no. 4 (142)

15--22

EN

The aim of this study was to integrate SWOT analysis and the fuzzy TOPSIS method to develop a strategy for the Turkish RMG sector. SWOT analysis was used to determine the strengths&weaknesses and opportunities & threats of the sector. New strategies were developed using SWOT analysis data, and then the fuzzy TOPSIS method was used to rank the strategies for the sector. Four strategies were determined: (1) building global brands, (2) providing government incentives to increase the competitive power of the sector, (3) effective use of e-commerce, and (4) transforming the sector into an attractive business area for young people. Empirical results indicate that the third strategy is ideal for the sector. However, SWOT analysis falls short of determining strategies for any sector. The ability of strategy making processes to yield positive outcomes depends largely on managers’ participation in decision-making processes. Fuzzy TOPSIS was used to model the inherent uncertainty in human knowledge and behaviour and to incorporate sector managers’ views into the system to assess alternatives that integrate SWOT.

PL

Celem badania była integracja analizy SWOT i rozmytej metody TOPSIS w celu opracowania strategii dla tureckiego sektora RMG. Analiza SWOT została wykorzystana do określenia mocnych i słabych stron oraz szans i zagrożeń sektora. Nowe strategie opracowano na podstawie danych analizy SWOT, a następnie zastosowano metodę rozmytej TOPSIS do uszeregowania strategii dla sektora. Określono cztery strategie: (1) budowanie globalnych marek, (2) zapewnianie rządowych zachęt do zwiększania siły konkurencyjnej sektora, (3) efektywne wykorzystanie handlu elektronicznego oraz (4) przekształcenie sektora w atrakcyjny obszar biznesowy dla młodych ludzi. Wyniki empiryczne wykazały, że trzecia strategia jest idealna dla tego sektora. Zdolność procesów tworzenia strategii do uzyskiwania pozytywnych wyników zależy w dużej mierze od udziału menedżerów w procesach decyzyjnych. Rozmytą metodę TOPSIS wykorzystano do modelowania nieodłącznej niepewności w ludzkiej wiedzy i zachowaniu oraz do włączenia poglądów menedżerów sektora do systemu w celu oceny alternatyw integrujących SWOT.

5

Fuzzy TOPSIS in the assessment of OHS management system

Tabor Joanna

System Safety : Human - Technical Facility - Environment

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2019

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Vol. 1, nr 1

18--25

EN

Occupational health and safety (OHS) management is a cycle of decision-making processes, many of which are in fact multi-criterion processes in nature. Therefore, it is important to look for and develop tools to support decision-makers in their actions aimed at improving work safety levels. The objective of this paper is to propose and verify the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method applied to compare and assess the ways OHS management systems function in different companies. The fuzzy TOPSIS method has already been used for a number of years in assessments of alternative solutions in many different areas, but the application that uses ordered fuzzy numbers is quite original in nature. It is especially beneficial to use the fuzzy approach in OHS management systems, as it makes it possible for experts to assess different criteria using most frequently used linguistic variables. The adopted approach was verified in the study of OHS management systems in four furniture manufacturing companies. Assessment criteria were requirements of the PN-N 18001:2004 Standard. Thanks to the ordered fuzzy TOPSIS method, the analysed OHS management systems were streamlined from the point of view of 24 assessment criteria, and the best and the worst functioning system was identified. The approach presented here may constitute a significant tool for improving OHS management systems.

6

On the right approach to selecting a quality improvement project in manufacturing industries

Mittal K., Tewari P. C., Khanduja D.

Operations Research and Decisions

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2017

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Vol. 27, No. 1

105--124

EN

Continuous improvement is the core of any successful firm. Talking about manufacturing industries, there is huge potential for continuous improvement to be made in various work areas. Such improvement can be made in any section of industry in any form such as quality improvement, waste minimization, system improvement, layout improvement, ergonomics, cost savings, etc. This case study considers an example of a manufacturing firm which wanted to start a quality improvement project (QIP) on its premises. Various products were available, but with dwindling quality levels. However, the real task was the choice of a product for upcoming QIP, as it is well known that success heavily depends upon the selection of a particular project. This is also because of the amount of effort in terms of time, money and manpower that is put into a project nowadays. The authors’ objective was to compare three techniques, namely, cost of poor quality (COPQ), conditional probability and fuzzy TOPSIS for selecting the right project based on this specific firm. The pros and cons of these approaches have also been discussed. This study should prove to be instructive for the realization of QIPs in similar types of industry.

7

The selection of an underground mining method using the Fuzzy TOPSIS method: a case study in the Kamar Mahdi II fluorine mine

Javanshirgiv M., Safari M.

Mining Science

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2017

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Vol. 24

161--181

EN

The selection of the mining method is one of the most crucial decisions in the stage of designing mines. This depends on some underlying parameters such as economic, technical and efficiency properties. The parameters may be collected and examined in a wide range of methods including core drilling and developmental planning of an active mine. The process of selecting the mining method can be described as multi-criterion decision-making due to the several factors involved in the evaluation process. Through the multi-criterion decision-making, the structure of problems is analyzed. However, multi-criteria decision-making (MCDM) is often criticized because of its inability to handle uncertain and imprecise problems. Thus, the fuzzy decision-making is proposed as a powerful tool. Therefore in this paper, the fuzzy technique for order performance by similarity to ideal solution (Fuzzy TOPSIS) is used to select the best mining method among square-set stoping, cut-and-fill stoping, shrinkage stoping and sublevel stoping at the Kamar Mahdi fluorine mine based on 14 criteria such as deposit thickness, deposit dip, grade distribution, joint spacing in deposit and hanging wall as well as the cost of mining. Other criteria with the same importance for the four alternatives are neglected. Finally, the alternatives are ranked and the shrinkage stoping is proposed as the optimal mining method for this mine.

8

Zastosowanie metody TOPSIS w ujęciu rozmytym do selekcji walorów giełdowych

Pośpiech E., Mastalerz-Kodzis A.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2016

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z. 96

395--404

PL

Analiza fundamentalna wykorzystywana do oceny spółki, w szczególności spółki giełdowej, zakłada uwzględnienie odpowiedniego czasu, z którego powinno się zaczerpnąć dane. Posługując się w tej ocenie wskaźnikami fundamentalnymi oraz rynkowymi, można się wspomóc metodą wielokryterialną. Określenie wartości uwzględnianych wskaźników za okres dłuższy niż dane są podawane implikuje odpowiednie ich przeliczenie. W artykule zaproponowano sposób, w którym do omawianego zagadnienia podchodzi się jak do problemu rozmytego – w sugerowanym ujęciu oceny kryterialne traktowane są jak trójkątne liczby rozmyte.

EN

The application of fundamental analysis for evaluation of a company, especially a quoted one, requires taking into account the historical data from a proper time (three to five years). To support the problem for evaluation of companies with the use of fundamental and market indicators we may regard multi-criteria methods. Determining the indicators’ values for the period e.g. of three years, we can use some proper techniques of calculating them. The article presents an approach of regarding the considered issue like a fuzzy problem with triangular fuzzy numbers.

9

Fuzzy TOPSIS Approach in Selection of Optimal Noise Barrier for Traffic Noise Abatement

Garg N., Vishesh, Maji S.

Archives of Acoustics

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2015

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Vol. 40, No. 4

453–-467

EN

The paper presents a retrospective study for selection of noise barrier for road traffic noise abatement. The work proposes the application of Fuzzy TOPSIS (Technique for order preference by similarity to an ideal solution) approach is selection of optimal road traffic noise barrier. The present work utilizes the fuzzy TOPSIS model proposed by Mahdavi et al. (2008) in determination of ranking order of various types of noise barriers with respect to the various criteria considered. It is suggested that application of this approach can be very helpful in selection and application of optimal noise barrier for road traffic noise abatement.

10

Plant type selection for reclamation of Sarcheshmeh copper mine using fuzzy-TOPSIS approach

Ebrahimabadi A., Alavi I.

Archives of Mining Sciences

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2013

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Vol. 58, no. 3

953--968

EN

Plant species selection is a multi-criteria evaluation decision and has a strategic importance for many companies. The conventional methods for plant species selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment. To overcome this difficulty, fuzzy multi-criteria decision-making methods are proposed. The aim of this study is to use the fuzzy technique for order preference by similarity to ideal solution (F.TOPSIS) methods for the selection of plant species in mine reclamation plan. Plant type selection and planting to protect the environment and the reclamation of the mine are some of the most important solutions. Therefore, the objective of the current research study is to choose the proper plant types for reclamation of Sarcheshmeh Copper Mine using Fuzzy-topsis method. In this regard, primarily, surrounding area of Sarcheshmeh copper mine, one of the world’s 10 biggest copper mine which is located near Kerman city of Iran, are surveyed, to choose the best plant type for reclamation of disturbance area. With this respect, based on reclamation plan, primary criteria were consisted of kinds of post mining land use, climate, and nature of soil. Comparison matrixes were then obtained based on experts’ opinion and plant types were subsequently prioritized using the Fuzzy Topsis method. Secondary factors considered through the analysis were as follows: perspective of the region, resistance against disease and insects, strength and method of growth, availability to plant type, economic efficiency, protection of soil, storing water, and prevention of pollution. Finally, suitable plant types in the mining perimeter were prioritized as: Amygdalus scoparia, Tamarix, Pistachio Wild, Ephedra, Astragalus, Salsola, respectively.

PL

Wybór gatunków roślin jest decyzją podejmowaną w oparciu o wiele kryteriów i stanowi poważne wyzwanie strategiczne dla wielu firm. Konwencjonalne metody wyboru gatunków roślin okazują się niewystarczające w przypadku nieprecyzyjnej oceny i nie w pełni zdefiniowanych określeń językowych. W celu przezwyciężenia tych trudności, zaproponowano wielo-kryterialną metodę decyzyjną wykorzystującą logikę rozmytą. Celem tego opracowania jest ukazanie zastosowania podejścia rozmytego do uzyskania kolejnych przybliżeń do rozwiązania idealnego (F.TOPSIS) przy wyborze odpowiednich gatunków roślin do użycia w projekcie rekultywacji terenów kopalni. Wybór gatunków roślin i ich kultywacja dla zapewnienia ochrony środowiska i projektu rekultywacji terenu pogórniczego to bardzo ważne zagadnienia. Głównym celem obecnego studium jest wybór odpowiednich gatunków roślin do wykorzystania projekcie rekultywacji terenów kopalni miedzi Sarcheshmeh z wykorzystaniem metod logiki rozmytej TOPSIS. W pierwszym rzędzie przeprowadzono badania gruntów wokół kopalni miedzi Sarchesmeh, w pobliżu miejscowości Kerman w Iranie (jednej z dziesięciu największych na świecie kopalni miedzi) w celu wyboru najlepszych typów roślin do wykorzystania do rekultywacji naruszonych działalnością górniczą terenów. Określono podstawowe kryteria wyboru, biorąc pod uwagę plan rekultywacji: sposoby wykorzystania terenu, klimat oraz rodzaje gleb. Otrzymano macierze porównawcze uzyskane na podstawie opinii ekspertów, następnie dokonano określenia priorytetów dla poszczególnych roślin przy pomocy metody TOPSIS, wykorzystującej logikę rozmytą. W analizie uwzględniono następujące czynniki drugorzędne: perspektywy dla regionu, odporność na choroby i owady szkodniki, wytrzymałość i sposób uprawy, dostępność danego gatunku roślin, wydajność ekonomiczna, ochrona gleb, zdolność zatrzymywania wody, zapobieganie zanieczyszczeniom. W końcowym etapie dokonano wyboru najkorzystniejszych dla danego terenu górniczego gatunków roślin, podając kolejno: Amygdalus scoparia, Tamarix, Pistachio Wild, Ephedra, Astragalus, Salsola.

11

Fuzzy TOPSIS Method in Supplier Selection and Application in the Garment Industry

Yayla A. Y., Yildiz A., Ozbek A.

Fibres & Textiles in Eastern Europe

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2012

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Vol. 20, no. 4 (93)

20--23

EN

In today's world where intensive competition exists between enterprises, it is of great importance to work in cooperation with the right suppliers. Selection of the right suppliers is a significant factor in the success of enterprises. In the selection of the best supplier (s), the strengths and weaknesses of potential suppliers should be taken into consideration. Many qualitative and quantitative criteria are included in this selection process as well as the decision-maker. One of the issues that leaves the decision maker in a difficult position is selecting the most appropriate one from the alternatives available, as traditional methods may not produce a realistic solution in this process. However, multicriteria decision making methods facilitate the process of finding a solution and enable decision makers to reach the right decisions. In this study, the fuzzy TOPSIS method, which is one of the multi-criteria decision making methods, is used in this problem area to select the most appropriate supplier of garment 'X' operating in Turkey. It is detected through analyses conducted in line with the results obtained. The ranking of the three supplier firms determined by firm X are as follows in terms of closeness index values: supplier 1, supplier 3 and supplier 2.

PL

Dla uzyskania powodzenia w prowadzeniu przedsiębiorstw bardzo ważna jest współpraca z odpowiednimi dostawcami. Decyduje o tym szereg kryteriów, które powinny być wzięte pod uwagę. Wybór oparty na tradycyjnych metodach analizy może być trudny i zawodny, dletego też zaproponowano nową multikryterialną metodę doboru opartą na analizie zbiorów rozmytych. Analizę porównawczą przeprowadzono porównując trzech zróżnicowanych dostawców.

12

Risk evaluation of tunneling projects

Fouladgar M. M., Yazdani-Chamzini A., Zavadskas E. K.

Archives of Civil and Mechanical Engineering

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2012

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Vol. 12, no. 1

1--12

EN

Tunneling industry has seen great advancements in underground construction projects. Now, it has significant difference with the last two decades. In many times, tunneling projects find themselves involved in the situation where unexpected conditions threaten the continuation of project. Managers always look for a reliable technique to overcome limitations of finance and time. TOPSIS method is widely used to solve multi criteria decision making (MADM) problems. This technique assigns the best alternative among a pool of feasible alternatives. Furthermore, due to inherent uncertainties in tunneling, using fuzzy logic in order to take into account these uncertainties can be useful. In addition, new factors are introduced to promote the accuracy of risk analysis. Finally, a real world case study is presented to show the effectiveness and the accuracy of the new risk evaluation model. The results demonstrated that collapse is the riskiest parameter in Ghomroud water conveyance tunneling project.