Quality Control Manager Selection Based on AHP- COPRAS-G Methods: A Case in Iran

Zolfani, Sarfaraz Hashemkhani; Rezaeiniya, Nahid; Aghdaie, Mohammad Hasan; Zavadskas, Edmundas Kazimieras

doi:10.1080/1331677x.2012.11517495

Cited by 43 publications

(23 citation statements)

References 14 publications

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“…Barysienė [146], applied COPRAS-G approach for evaluating of the container terminal technologies. In the field of quality control, Hashemkhani Zolfani et al [147] used AHP and COPRAS-G for selection of quality control. Baležentis and Zeng [148], extended the MULTIMOORA approach with type-2 fuzzy sets for personnel selection.…”

Section: Mcdm Utility Determining Methodsmentioning

confidence: 99%

A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

Mardani

Nilashi

Zakuan

et al. 2017

Applied Soft Computing

265

121

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The Multiple Criteria Decision Making (MCDM) utility determining approaches and fuzzy sets are considered to be new development approaches, which have been recently presented, extended, and used by some scholars in area of decision making. There is a lack of research regarding to systematic literature review and classification of study about these approaches. Therefore; in the present study, the attempt is made to present a systematic review of methodologies and applications with recent fuzzy developments of two new MCDM utility determining approaches including Step-wise Weight Assessment Ratio Analysis (SWARA) and the Weighted Aggregated Sum Product Assessment (WASPAS) and fuzzy extensions which discussed in recent years. Regarding this, some major databases including Web of Science, Scopus and Google Scholar have been nominated and systematic and meta-analysis method which called "PRISMA" has been proposed. In addition, the selected articles were classified based on authors, the year of publication, journals and conferences names, the technique and method used, research objectives, research gap and problem, solution and modeling, and finally results and findings. The results of this study can assist decision-makers in handling information such as stakeholders' preferences, interconnected or contradictory criteria and uncertain environments. In addition, findings of this study help to practitioners and academic for adopting the new MCDM utility techniques such as WASPAS and SWARA in different application areas and presenting insight into literature.

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Section: Mcdm Utility Determining Methodsmentioning

confidence: 99%

A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

Mardani

Nilashi

Zakuan

et al. 2017

Applied Soft Computing

265

121

View full text Add to dashboard Cite

show abstract

“…The ongoing process of globalization has led to increased international competition and forced companies to strive for their survival and growth in strict competitive markets. The need for acquiring a competitive advantage is now more fully recognized than ever before (Balez, Balezentis, & Brauers, 2012;Güngör, Serhadlıoglu, & Kesen, 2009;Matin, Fathi, Zarchi, & Azizollahi, 2011;Zhang & Liu, 2011;Zolfani, Rezaeiniya, Aghdaie, & Zavadskas, 2012). According to the resource-based view (RBV), competitive advantage is primarily resulted from firms' internal resources and capabilities, which are valuable, rare, inimitable, and nonsubstitutable (VRIN attributes; Barney, 2001).…”

Section: Introductionmentioning

confidence: 99%

Competency‐based IT personnel selection using a hybrid SWARA and ARAS‐G methodology

Dahooie

Abadi

Vanaki

et al. 2017

Hum Ftrs & Erg Mfg Svc

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In the knowledge economy, human capital is a key factor in any organization to achieve a sustainable competitive advantage. Thus, selection of competent personnel is the most important function of human resource managers. However, because of a wide range of criteria and organizational factors that affect the process, personnel selection is often regarded as a complex problem that can be answered through multicriteria decision-making (MCDM) procedures. Despite the great importance of determining a comprehensive set of criteria, it has not gained enough attention in the literature. This study presents a competency framework with five criteria for choosing the best information technology (IT) expert from five alternatives. The stepwise weight assessment ratio analysis (SWARA) and grey additive ratio assessment (ARAS-G) methods are also used to derive the criteria weights and provide the final alternative, respectively. The results reveal that subject competency is the major criteria in IT personnel selection.

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“…The most suitable alternative is the alternative with the highest value of utility degree (Zolfani et al, 2012),…”

Section: Coprasmentioning

confidence: 99%

Project portfolio selection of banking services using COPRAS and Fuzzy-TOPSIS

Anyaeche¹,

Ighravwe²,

Asokeji³

2017

10.5267/j.jpm

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Portfolio selection is a business process which has helped organisations identify an area of competitive advantage and it is a major concern to industrial players in the banking sectors. In order to enhance bank portfolio selection, cost, profitability, time and location are important parameters that decision-makers often consider. This study implements a fuzzy-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) framework to evaluate three potential portfolios (automated teller machine gallery, quick service point and branch) for a bank using the information from three decision-makers. An illustrative example of real bank information is used to demonstrate the proposed framework applicability. The complex proportional assessment of alternatives (COPRAS) method is also used as an evaluation technique and the results are compared, which yields that the results from the ranking order of fuzzy-TOPSIS and COP-RAS were different. However, there is a consistency between the aggregation of intuition-based, fuzzy-TOPSIS and COPRAS ranks and fuzzy-TOPSIS ranking results. The presented framework is an easy-to-apply tool that improves portfolio selection decision in the banking system.

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Quality Control Manager Selection Based on AHP- COPRAS-G Methods: A Case in Iran

Cited by 43 publications

References 14 publications

A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

Competency‐based IT personnel selection using a hybrid SWARA and ARAS‐G methodology

Project portfolio selection of banking services using COPRAS and Fuzzy-TOPSIS

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