TQM consultant selection in SMEs with TOPSIS under fuzzy environment

Saremi, Mahmoud; Mousavi, S. Farid; Sanayei, Amir

doi:10.1016/j.eswa.2008.01.034

Cited by 129 publications

(71 citation statements)

References 47 publications

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“…TOPSIS has deemed one of the major decision making techniques. In recent years, TOPSIS has been effectively applied to the areas of human resources management [13], transportation [5], product design [14], manufacturing [15], water management [16], quality control [4], military [2], tourism [17] and location analysis [18]. In addition, the concept of TOPSIS has also been connected to multi-objective decision making and group decision making.…”

Section: Introductionmentioning

confidence: 99%

Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers

Yaakob¹,

Gegov²

2016

IJCIS

101

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The ability in providing result that is consistent with actual ranking remains the major concern in group decision making environment. The main aim of this paper is to introduce a novel modification of TOPSIS method to facilitate multi criteria decision making problems based on the concept of Z-numbers called Z-TOPSIS. The proposed method is adequate and intuitive in giving meaningful structure for formalizing information of a decision making problem, as it takes into account the decision makers' reliability. This study also provides bridge with some established knowledge in fuzzy sets to certain extend as to strengthen the concept of ranking alternatives using Znumbers. To ensure practicality and effectiveness of proposed method, stock selection problem is studied. The ranking based on proposed method is validated comparatively using spearman rho rank correlation. Based on the analysis, the proposed method outperforms the established TOPSIS methods in term of ranking performance.

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Section: Introductionmentioning

confidence: 99%

Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers

Yaakob¹,

Gegov²

2016

IJCIS

101

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“…However, regarding the criteria, the decision-maker's knowledge was not usually enough to choose them. It is worth highlighting in this study that Saremi et al (2009) report that the five selection criteria were determined by the council, without showing any scientific basis or supporting standard for this. This also occurs with Kabir & Sumi (2014), the study is intended for total quality management consultant selection through integrating two multicriteria methods.…”

Section: Criteriamentioning

confidence: 99%

“…The criteria can have, in a specific problem, a maximization or minimization (Gomes & Gomes, 2012) There are few applications of Multiple-criteria decision-making (MCDM) in total quality management (TQM) problems and contínuos improvement in the literature, especially in relation to consultancy services and quality certification. For instance, selecting technologies that will support the aims of strategic total quality management (Madu et al, 1996); Ranking of critical factors for TQM implementation in Shanghai manufacturing industry (Chin et al, 2002); Preference-ranking model for a quality evaluation of hospital web sites (Bilsel et al, 2006); decision process for selecting external consultant in TQM program in small and medium companys (Saremi et al, 2009); Selection of lean manufacturing systems (Gurumurthy & Kodali, 2008); Selecting improvement initiatives and quality management (QM) approaches in three companies in Thailand (Thawesaengskulthai, 2010); Quality Function Deployment (QFD) combined with decision support system (Andronikidis et al, 2009); Measuring quality service combined with multicriteria method (Jerônimo & Medeiros, 2014); Evaluation of retail service quality (Sreekumar & Satpathy, 2015). Saremi et al (2009) in their study entitled "A systematic decision process for selecting external consultant in TQM program" build a decision model for consultancy selection.…”

Section: Criteriamentioning

confidence: 99%

Uma abordagem multicritério para a seleção de serviços de consultoria e certificação de Sistemas de Gestão da Qualidade

Silva

Melo

2017

Gest. Prod.

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Resumo: A implantação de um Sistema de Gestão da Qualidade (SGQ) em uma organização demanda esforço, planejamento e envolvimento de todos. A etapa de seleção de serviços de consultoria (caso haja necessidade) e utilização do método Preference Ranking Organization Method for Enrichment Evaluation II (PROMETHEE II) e do plano Geometrical Analysis for Interactive Aid (GAIA). Palavras-chave: Gestão da qualidade; Decisão multicritério; Certificação; Normas ISO. Abstract:The implementation of a Quality Management System (QMS) in any organization requires efforts, planning, and everyone's involvement. The selection of consultancy services (if needed), and certification services through an Accredited Certification Body (ACB) has an important role in this process. This study aims to propose a structured model to support these two decisions by using a multicriteria focus (MCDA) to guide the design of a methodological framework. In addition, this study considers the maturity level of the organization, and the importance of continuous improvement after implementing ISO 9001. One of the differential points in this study is the detailed scientific technical foundation of the qualifying and selection criteria, of the consultancy and ACB by using ISO standards (9001, 10019, 17021, 19011), and the guidance document CB-25, which is related to quality. Finally, an application was made in a pharmaceutical industry using the PROMETHEE II method, and the GAIA plan. We adopted three scenarios.

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“…Generally, human judgments on performance of any model may vary from individuals to individuals due to their naturally uncertain and "ambiguous" perceptions [23]. To help and overcome the vagueness in the judgments, Zadeh [24] pioneered and proposed the classical Fuzzy Set Theory (FST) and it provides the mathematical proficiency to resolve the uncertainties by setting reliable membership functions.…”

Section: Fuzzy Sets and Fuzzy Numbersmentioning

confidence: 99%

Supplier Selection Problems in Fashion Business Operations with Sustainability Considerations

et al. 2015

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Abstract:In recent years, sustainability has been a major focus of fashion business operations because fashion industry development causes harmful effects to the environment, both indirectly and directly. The sustainability of the fashion industry is generally based on several levels and this study focuses on investigating the optimal supplier selection problem for sustainable materials supply in fashion clothing production. Following the ground rule that sustainable development is based on the Triple Bottom Line (TBL), this paper has framed twelve criteria from the economic, environmental and social perspectives for evaluating suppliers. The well-established multi-criteria decision making tool Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is employed for ranking potential suppliers among the pool of suppliers. Through a real case study, the proposed approach has been applied and some managerial implications are derived.

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TQM consultant selection in SMEs with TOPSIS under fuzzy environment

Cited by 129 publications

References 47 publications

Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers

Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers

Uma abordagem multicritério para a seleção de serviços de consultoria e certificação de Sistemas de Gestão da Qualidade

Supplier Selection Problems in Fashion Business Operations with Sustainability Considerations

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