A state-of-art survey on TQM applications using MCDM techniques

In today’s competitive economy, quality plays an essential role for the success business units and there are considerable efforts made to control and to improve quality characteristics in order to satisfy customers’ requirements. However, improving quality is normally involved with various criteria and we need to use Multi Criteria Decision Making (MCDM) to handle such cases. In this state-of the-art literature survey, 45 articles focused on solving quality problems by MCDM methods are investigated. These articles were published between 1994 and 2013.Seven areas were selected for categorization: (1) AHP, Fuzzy AHP, ANP and Fuzzy ANP, (2) DEMATEL and Fuzzy DEMATEL, (3) GRA, (4) Vikor and Fuzzy Vikor, (5) TOPSIS, Fuzzy TOPSIS and combination of TOPSIS and AHP, (6) Fuzzy and (7) Less frequent and hybrid procedures. According to our survey, Fuzzy based methods were the most popular technique with about 40% usage among procedures. Also AHP and ANP were almost 20% of functional methods. This survey ends with giving recommendation for future researches

Three Decades of Fuzzy AHP: A Bibliometric Analysis

[EN] For decades, Fuzzy Sets Theory (FST) has been consistently developed, and its use has spread across multiple disciplines. In this process of knowledge transfer, fuzzy applications have experienced great diffusion. Among them, Fuzzy Analytic Hierarchy Process (fuzzy AHP) is one of the most widely used methodologies today. This study performs a systematic review following the PRISMA statement and addresses a bibliometric analysis of all articles published on fuzzy AHP in journals indexed in Web of Science, specifically in Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI). The analyzed database includes 2086 articles published between 1994 and 2022. The results show the thematic clusters, the evolution of the academic conversation and the main collaboration networks. The main contribution of this article is to clarify the research agenda on fuzzy AHP. The results of the study allow academics to detect publication opportunities. In addition, the evidence found allows researchers and academics setting the field¿s agenda to advise the editors of high-impact journals on gaps and new research trends.Castello-Sirvent, F.; Meneses-Eraso, C.; Alonso-Gómez, J.; Peris-Ortiz, M. (2022). Three Decades of Fuzzy AHP: A Bibliometric Analysis. Axioms. 11(10):1-34. https://doi.org/10.3390/axioms11100525134111

VIKOR Technique:A Systematic Review of the State of the Art Literature on Methodologies and Applications

The main objective of this paper is to present a systematic review of the VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) method in several application areas such as sustainability and renewable energy. This study reviewed a total of 176 papers, published in 2004 to 2015, from 83 high-ranking journals; most of which were related to Operational Research, Management Sciences, decision making, sustainability and renewable energy and were extracted from the “Web of Science and Scopus” databases. Papers were classified into 15 main application areas. Furthermore, papers were categorized based on the nationalities of authors, dates of publications, techniques and methods, type of studies, the names of the journals and studies purposes. The results of this study indicated that more papers on VIKOR technique were published in 2013 than in any other year. In addition, 13 papers were published about sustainability and renewable energy fields. Furthermore, VIKOR and fuzzy VIKOR methods, had the first rank in use. Additionally, the Journal of Expert Systems with Applications was the most significant journal in this study, with 27 publications on the topic. Finally, Taiwan had the first rank from 22 nationalities which used VIKOR technique

METODE AHP DAN FUZZY TOPSIS UNTUK PENDUKUNG KEPUTUSAN SELEKSI PENEMPATAN TENAGA KERJA INDONESIA

Tenaga Kerja Indonesia (TKI) sesuai dengan peraturan pemerintah harus memiliki kualifikasi yang baik secara administrasi maupun kemampuan. Pemerintah menetapkan kriteria berdasarkan minat, bakat, dan kemampuan untuk bekerja pada negara tujuan. Proses seleksi di BP3TKI adalah dengan melengkapi kelengkapan dokumen dan lulus uji kompetensi sehingga pada proses tersebut belum dapat memperoleh TKI yang paling berpotensi dikarenakan ada beberapa kriteria yang belum dipertimbangkan. Penelitian yang dilakukan menghasilkan Sistem yang mampu mengurutkan peringkat terbaik sehingga dapat direkomendasikan pihak pengambil keputsan untuk membantu menentukan TKI yang layak ke negara tujuan. Peneliti menggunakan metode AHP dan Fuzzy TOPSIS untuk menyelesaikan permasalahan seleksi TKI, dari kedua metode tersebut memiliki bagian penyelesaian yang berbeda, metode AHP digunakan untuk menentukan bobot dan Fuzzy TOPSIS digunakan untuk menentukan peringkat terbaik, tool yang digunakan untuk mengembangkan sistem pendukung keputusan adalah PHP dan MySQL. AHP memerlukan nilai inputan berupa perbandingan tingkat kepentingan antar kriteria dari assesor, output dari AHP adalah bobot kriteria. Hasil uji konsistensi assesor menunjukkan bahwa tingkat inkosistensi assesor adalah 0,8 kurang dari atau sama dengan 0,10, artinya dapat diterima dan melanjutkan ke metode Fuzzy TOPSIS. Hasil output bobot AHP adalah C3>C4>C6>C2>C1>C5, peringkat alternatif yang terbaik adalah Alternatif 22 sedangkan yang terendah adalah Alternatif 28, hasil kesesuaian sistem yang dikembangkan dengan data asli adalah 96%. Kata Kunci : TKI, BP3TKI, AHP, dan Fuzzy TOPSIS Indonesian Migrant Workers (TKI) in accordance with government regulations must have good qualifications in administration and abilities. The Government set criteria based on their interests, talents, and ability to work in destination country. Selection process in BP3TKI is to complete the required documents, and pass the competency test so that the process are not able to obtain the most potential migrant workers because there are some criteria that have not been considered. Research conducted generating system is able to rank the best that can be recommended by decision maker to help determine proper labor migrants into the destination country. Researcher using AHP and Fuzzy TOPSIS to resolve the problems of selection migrant workers, both methods have a section is a different solution, the AHP method is used to determine the weight and Fuzzy TOPSIS is used to rank the best, the tools used to develop a decision support system is PHP and MySQL, AHP requires input value in the form of a comparison between the interest rate criterion of assessors, the output of the AHP is the weight criteria. assesor consistency test showed that the level of inconsistencies assesor is 0.8 less than or equal to 0.10, meaning that it can be accepted and continue to Fuzzy TOPSIS. The results showed output weighting criteria AHP was C3> C4> C6> C2> C1> C5, ranking the best alternative is Alternative 22 and the lowest is Alternative 28. The results of the suitability of a system developed by the original data is 96%. Keyword : TKI, BP3TKI, AHP, and FUZZY TOPSI

A Hybrid Multi-Criteria Analysis Model for Solving the Facility Location–Allocation Problem: a Case Study of Infectious Waste Disposal

Choosing locations for infectious waste disposal (IWD) is one of the most significant issues in hazardous waste management due to the risk imposed on the environment and human life. This risk can be the result of an undesirable location of IWD facilities. In this study a hybrid multi-criteria analysis (Hybrid MCA) model for solving the facility location–allocation (FLA) problem for IWD was developed by combining two objectives: total cost minimization and weight maximization. Based on an actual case of forty-seven hospitals and three candidate municipalities in the northeastern region of Thailand, first, the Fuzzy AHP and Fuzzy TOPSIS techniques were integrated to determine the closeness of the coefficient weights of each candidate municipality. After that, these weights were converted to weighting factors and then these factors were taken into the objective function of the FLA model. The results showed that the Hybrid MCA model can help decision makers to locate disposal centers, hospitals and incinerator size simultaneously. Besides that the model can be extended by incorporating additional selection criteria/objectives. Therefore, it is believed that it can also be useful for addressing other complex problems

An overview of fuzzy multi-criteria decisionmaking methods in hospitality and tourism industries: bibliometrics, methodologies, applications and future directions

Stakeholders in hospitality and tourism industries are involved in many decision-making scenarios. Multi-criteria decision-making (MCDM) methods have been widely used in hospitality and tourism industries. Although some articles summarised the applications of MCDM models in hospitality and tourism industries, they ignored the fuzziness of individual cognition in an uncertain environment. In addition, these surveys lacked a comprehensive overview from the perspective of bibliometrics analysis and content analysis regarding the whole hospitality and tourism industries. To analyse the applications of fuzzy MCDM methods in hospitality and tourism industries and further explore future research directions, this article reviews 85 selected papers published from 1997 to 2022 regarding fuzzy MCDM models applied in hospitality and tourism industries. Through analysing the results of bibliometric analysis, methodologies and applications, we found that analytic hierarchy process (AHP) and TOPSIS methods are the most widely used MCDM methods, and tourism evaluation, hotel evaluation and selection, tourism destination evaluation and selection are the most attractive research issues in hospitality and tourism industries. Finally, future research directions are proposed from three aspects. This article provides insights for researchers and practitioners who have interest in fuzzy MCDM models in hospitality and tourism industries

Performance evaluation of services quality in higher education institutions using modified SERVQUAL approach with grey analytic hierarchy process (G-AHP) and multilevel grey evaluation

In today’s climate of fierce competition, there is a necessity to pay especial attention on customer demands either in manufacturing or service sector. Managers in service sector are under pressure in terms of environmental factors, they focus on customers’ satisfaction and this has led to the continuous improvement in the performance of service organizations. Meanwhile, customers’ expectations should be properly understood and measured. There have been various efforts to measure the quality of services using the SERVQUAL model. In this study, we try to investigate the concepts and factors influencing the quality of services according to modified SERVQUAL model and then utilize the proposed model of Grey Analytic Hierarchy Process (G-AHP) and Multilevel Grey Evaluation in order to evaluate the quality of services in the framework of Grey Systems Theory (GST). In order to propose our method, we will conduct a case study of the performance of service quality in higher education institutions of Isfahan-Iran

The state of the art development of AHP (1979-2017): A literature review with a social network analysis

Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979?1990, 1991?2001 and 2002?2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions