Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method

In the past decade, global competition are forcing firms to increase their level of outsourcing for raw or semi-finished products and building long term relationship with their supply chain partners. The objective is to present a wide-ranging decision making technique for ranking supplier alternatives in view of the effect of selected criteria. A proposed method is developed aiming the usage of Fuzzy-Rasch model applying five point Likert scale for criteria weight and Grey based COmplex PRoportional ASsessment (COPRAS-G) method for evaluating and ranking the potential alternatives, as per criteria. The applicability of the induced methodology for supplier selection problem in all environments is shown through a case study in telecommunication sector. A sensitivity analysis is performed based on changing weight patterns of criteria to show the stability in ranking result of the proposed approach. Further, a comparative analysis between the ranking results of proposed method done with existing grey multi-attribute decision-making methods viz. VIKOR-G, ARAS-G and TOPSIS-G using spearman’s correlation coefficient for checking the reliability of the ranking result

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

Strategy Portfolio Optimisation: A COPRAS G-MODM Hybrid Approach

Designing organisational strategies in various businesses is a commonly employed practice; nevertheless, nowadays the strategy portfolio optimisation is one of the major controversial issues. This research proposes an inclusive model to evaluate and select organisational strategies based on the boundaries of its resources. In order to achieve such a model, first of all, a grey COPRAS model is applied to evaluate organisational strategies under uncertain circumstances. Subsequently, on the basis of the aforementioned method, a mixed integer multi-objective linear programming model is depicted to optimise the strategy selection process according to COPRAS-G strategy significance results and with regard to time, cost and other structural constraints as well as organisational policies. Ultimately, a mixed COPRAS G-MODM is transformed to a binary goal programming model and the suggested approach is employed in Iran Mercantile Exchange for strategy portfolio optimisation

Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis

Modern manufacturing firms should be supported by effective maintenance to become successful in their operations. One of the approaches for improving the performance of maintenance activities is to implement a total productive maintenance (TPM) strategy. Overall equipment effectiveness (OEE) is the key measure of TPM. According to the results of the literature review, the performance elements measured by the OEE tool are not sufficient to describe the effectiveness of TPM implementation. Hence, we aim at developing and evaluating new performance measures oriented towards the quantification of TPM implementation effectiveness under fuzzy environment. For the evaluation of each performance measure, at first, the nominal group technique has been used. Then to determine whether these performance measures are statistically significant, conjoint analysis based experimental design has been applied. In the second step, COmplex PRo-portional ASsessment of alternatives with Grey relations (COPRAS-G) and the fuzzy COPRAS method has been developed to evaluate these performance measures in TPM. Proposed fuzzy COPRAS method gives the reassuring results of ranking newly developed performance measures in TPM

An extended COPRAS model for multi-criteria decision-making problems and its application in web-based hotel evaluation and selection

Facilitation of suitable accommodation for different travellers is the prime concern of travel agencies. Travel agencies must keep themselves competitive and sustain a good pace of growth to continue raising profits by attracting and retaining as many tourists as possible through meeting their various prospective needs. To achieve this, the agencies must prepare well-organised data for hotels and destinations from a quality control perspective. Initially, the hotels are ranked and evaluated according to performance across several criteria from the tourists’viewpoint. The relative importance of each criterion is mainly subjective and depends on the assessor’s judgement. Additionally, hotels’ rankings vary across different websites, resulting in inconsistencies. To handle such inconsistencies and subjectivity, this paper presents a collective decision-making evaluation framework by integrating a weighted interval rough number (WIRN) method and a WIRN- based complex proportional assessment (COPRAS) model to evaluate and rank hotels. An empirical example and a real-world case study from the Indian tourism industry are presented to validate the applicability of the proposed framework. Finally, a comparison and sensitivity analysis are performed to examine the validity and robustness of the proposed model

Selecting a location for a liquefied natural gas terminal in the Eastern Baltic Sea

Liquefied Natural Gas (LNG) industry is among the fastest growing energy market sectors. The gas terminal in Klaipėda allows Lithuania to import natural gas from various countries around the world. One of the most debatable subjects is the location of the future terminal. The problem pertaining to selection of construction sites for the LNG terminal should be investigated and solved using the set of multiple conflicting criteria. Many researchers argue that similar problems should be solved by applying several different Multi-Criteria Decision-Making (MCDM) methods. The research presents the model for application of three different MCDM methods and aggregation of solution results for the problem, which is based both on different objective data and on investigation of expert opinions for determining subjective criteria weights for the problem

A review of two decades of research on the application of multicriteria decision making techniques to evaluate e-learning’s effectiveness

Multicriteria decision-making (MCDM) techniques have been widely adopted to evaluate the effectiveness of e-learning. However, the literature review has not kept pace with the rapid accumulation of knowledge in this field. This study systematically reviews the MCDM techniques applied in e-learning issues. In total, we reviewed 77 published studies selected from the Web of Science and Scopus databases. We classified the selected studies by the publication year, the authors’ nationality, and the type of MCDM techniques examined. We further discovered that the majority of previous studies adopted Information System Success Model (D&M model) which was proposed by Delone and McLean in 1992. Due to limited features that were provided by the e-learning system back in the mid-2000, the original D&M model might not consider some significant factors such as students’ characteristics, instructors’ characteristics, user interface and learning community. The goals of this systematic literature review are to understand if the original D&M model is addressed in modern e-learning and to determine if new factors have emerged to evaluate e-learning’s effectiveness but not captured by the original D&M model. This review contributes three new theoretical perspectives. First, reclassification of the D&M model is conducted to include learners’ characteristics, instructors’ characteristics, user interface, and learning community. Second, this study discovers that there is a need to perform reclassification of overlapping subfactors. Third, this review also identifies that the dependencies among the factors in the D&M model are inadequately examined in previous studies. Researchers can utilize the findings of this study as a foundation to formulate their research frameworks, and practitioners can integrate the significant factors identified in this study into their decision-making processes when developing e-learning at their institutions

SELECTION OF SOCIAL MEDIA PLATFORMS USING FUZZY PROMETHEE METHOD WITH DIFFERENT SCENARIO TYPES

Social media are widely and mostly utilized in many areas to increase advertising, client relations, tourism, journey and many others by means of members or organizations. Social Media Platforms (SMPs) are becoming increasingly popular in the world. The selection of SMPs, which might be widely and mostly utilized by members or organizations, becomes a critical and complex problem. Moreover, some problems that need to be investigated which consist of the reason for the use of different SMPs, purpose, and frequency of use. In this study, we have investigated to explain these problems via questionnaire which evaluates by undergraduate pupils (N = 173). Therefore, we have created twelve different scenarios that are different weights and thresholds and handled the selection and ranking of SMPs by fuzzy Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) I and II. Consequently, we able to conclude that "Which SMPs were more preferred?", "What are the reasons for selection of SMPs? and "Which criteria are more important for this selection?". In addition, this study can be guiding an infrastructure for the content of new SPMs in the future

SELECTION OF SOCIAL MEDIA PLATFORMS USING FUZZY PROMETHEE METHOD WITH DIFFERENT SCENARIO TYPES

Social media are widely and mostly utilized in many areas to increase advertising, client relations, tourism, journey and many others by means of members or organizations. Social Media Platforms (SMPs) are becoming increasingly popular in the world. The selection of SMPs, which might be widely and mostly utilized by members or organizations, becomes a critical and complex problem. Moreover, some problems that need to be investigated which consist of the reason for the use of different SMPs, purpose, and frequency of use. In this study, we have investigated to explain these problems via questionnaire which evaluates by undergraduate pupils (N = 173). Therefore, we have created twelve different scenarios that are different weights and thresholds and handled the selection and ranking of SMPs by fuzzy Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) I and II. Consequently, we able to conclude that "Which SMPs were more preferred?", "What are the reasons for selection of SMPs? and "Which criteria are more important for this selection?". In addition, this study can be guiding an infrastructure for the content of new SPMs in the future

Gestão de Recursos Finitos em Empresas

The present work has as goal aiding decision makers, researchers, enterprises and practitioners by developing a proper literature review as a base for comparison among multiple-criteria decision making methods in finite resources management according to each of the most important areas of a business environment. Efficient resource management decision making in companies impacts its value creation capability and, therefore, its competitiveness and ultimate success. The methodology for paper research follows the PRISMA flow diagram, for correct paper filtrations according to the set of criteria stablished in alignment with the thesis goal. The papers included in the study are any that employ multiple-criteria decision making methods in their pure forms, in combination with each other forming hybrids, or in combination with other mathematical techniques for solving decision making problems across five major areas of a company’s body. The five major areas are: (1) Supply Chain Management and Logistics; (2) Environmental Management; (3) Business and Marketing Management; (4) Design, Engineering and Manufacturing Systems; and (5) Human Resources Management. The 204 final papers are presented separated by their corresponding application areas, ordered by number of citations, which is used as a measure of their scientific community relevance. They are also classified by, author, nationality, journal, year, type of research and methods used. All collected data is used for quantitative statistical analysis, with which is possible to collect more in-depth information on the literature research. Focused comments on the main methods are also present in this work, with observations made on the many applications and variations each of them had throughout the articles in the research. The AHP and TOPSIS approaches, either with their fuzzy set variations are by far the most popular methods in the referred applications. However, besides them other 51 MCDM or other mathematical techniques are employed in many different combinations and approaches, bringing a very interesting diversity to the study that is very useful for it to be used as a base for comparison among methods. A total number of 111 journals and authors and co-authors of 41 nationalities are involved in the publications between 2012 and 2018, with more than half of papers coming from either India, Turkey or Iran. Many other results are obtained, bringing the readers different perspectives on the subject. This paper contributes to the body of knowledge with a great and insightful overview on MCDM methods application in aiding in challenges part of a business environment, so that companies can better manage their resources and be more prosperous. It is a vast database that allows many comparisons and evaluations, offering more analysis than the standard literature review articles.O presente trabalho tem como objetivo auxiliar os tomadores de decisão, pesquisadores e profissionais, ao desenvolver uma revisão bibliográfica adequada como base para comparação entre os métodos de decisão multicritério na gestão de recursos finitos de acordo com cada uma das áreas mais importantes de um ambiente de negócios. A tomada eficiente de decisões de gestão de recursos nas empresas afeta sua capacidade de criação de valor e, portanto, sua competitividade e sucesso finais. A metodologia da investigação baseou-se na metodologia PRISMA, para a correta filtração das publicações de acordo com o conjunto de critérios estabelecidos, em alinhamento com o objetivo da tese. Os artigos incluídos no estudo são aqueles que apresentam métodos de decisão com critérios múltiplos em suas formas puras, em combinação uns com os outros ao formar híbridos, ou com outras técnicas matemáticas para resolver problemas em cinco áreas principais das empresas. As cinco áreas são: (1) Gestão da Cadeia de Suprimentos e Logística; (2) Gestão Ambiental; (3) Gestão de Negócios e Marketing; (4) Sistemas de Projeto, Engenharia e Manufatura; e (5) Gestão de Recursos Humanos. Os 204 artigos finais são apresentados de acordo com as áreas de aplicação correspondentes, ordenadas por número de citações, que são usadas como uma medida de sua relevância na comunidade científica. Eles são, ainda, classificados por autor, nacionalidade, revista, ano, tipo de pesquisa e métodos utilizados. Todos os dados coletados são utilizados para análise estatística quantitativa, com a qual é possível recolher informações mais aprofundadas sobre a pesquisa bibliográfica. São realizados comentários sobre os principais métodos e as maneiras que foram apresentados ao longo do estudo de todos os artigos durante a pesquisa. As abordagens AHP e TOPSIS, com suas variações em conjuntos difusos ou fuzzy, são de longe os métodos mais populares nas aplicações referidas. No entanto, além destes, outros 51 MCDM e outras técnicas são utilizadas em muitas combinações e abordagens, trazendo uma diversidade muito interessante para o estudo, servindo de base para comparação dos métodos. Um total de 111 revistas e autores e coautores de 41 nacionalidades estão envolvidos nas publicações entre 2012 e 2018, com mais de metade dos artigos provenientes da Índia, Turquia ou Irão. Estes e outros resultados levam aos leitores diferentes perspectivas sobre o assunto. Este documento contribui para o estado da arte, com um conhecimento geral excelente e perspicaz sobre a aplicação de métodos MCDM para ajudar nos desafios de um ambiente de negócios, para que as empresas possam melhor gerenciar seus recursos e serem mais prósperas. É um vasto banco de dados que permite muitas comparações e avaliações, oferecendo mais análises do que os artigos de revisão de literatura padrão