Application of Fuzzy VIKOR for selection of rapid prototyping technologies in an agile environment

Vinodh, S.; Nagaraj, T. S.; Girubha, Jeya

doi:10.1108/rpj-07-2012-0060

Cited by 31 publications

(14 citation statements)

References 21 publications

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“…Because of such advantage, the use of the techniques to solve AM process selection issue has been gained importance and popularity during the past two decades [6]. A number of researchers, which include Braglia and Petroni [20], Xu et al [21], Byun and Lee [22], Mahesh et al [23], Wilson and Rosen [24], Rao and Padmanabhan [25], Armillotta [26], Borille et al [27], Lokesh and Jain [28], Rao and Patel [29], Zhou and Chen [30], Chakraborty [31], Khrais et al [32], Vahdani et al [33], Ic [34], Mahapatra and Panda [35], Roberson et al [36], Liao et al [37], Vinodh et al [38], Zhang and Bernard [39], Zhang et al [40], Mancanares et al [41], Kek [42], Zheng et al [43], Anand and Vinodh [44], uz Zaman et al [45], Wang et al [46], and Kadkhoda-Ahmadi et al [47] have successively presented their approaches in this period. The specific techniques adopted in these approaches, the data sources of the approaches, the way the approaches deal with the relative importance of the criteria for selecting AM processes, and the way the approaches deal with the interrelationships between criteria are summarised in Table 1.…”

Section: Related Workmentioning

confidence: 99%

An additive manufacturing process selection approach based on fuzzy Archimedean weighted power Bonferroni aggregation operators

Qin

Scott

et al. 2020

Robotics and Computer-Integrated Manufacturing

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Selecting an appropriate additive manufacturing (AM) process or machine to fabricate an end-use product is an important issue in design for AM. One of many types of approaches for AM process selection is based on multi-criteria decision making (MCDM). Most of the MCDM based approaches have an advantage in taking into account the relative importance of performance parameter types and a few of them also consider the interrelationships of performance parameter types. Each of these approaches can work well in its specific context. They are however not entirely satisfactory, as they do not have the capabilities to reduce the influence of the deviation of performance parameter values on the decision-making result and to capture the risk attitudes of users in their decision-making models. In this paper, an MCDM approach based on fuzzy Archimedean weighted power Bonferroni aggregation operators with such capabilities is proposed for AM process selection. A fuzzy Archimedean weighted power Bonferroni mean operator and a fuzzy Archimedean weighted power geometric Bonferroni mean operator are firstly constructed. Based on these operators, an MCDM approach for selection of AM processes are then developed. After that, four practical examples are adopted to illustrate the developed approach and a set of sensitivity analysis experiments on the basis of these examples are carried out. Finally, qualitative and quantitative comparisons between the approach and the existing MCDM based approaches are reported to demonstrate its feasibility, effectiveness, and advantages.

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Section: Related Workmentioning

confidence: 99%

An additive manufacturing process selection approach based on fuzzy Archimedean weighted power Bonferroni aggregation operators

Qin

Scott

et al. 2020

Robotics and Computer-Integrated Manufacturing

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“…For example, Van de Kaa, Rezaei, Kamp, and de Winter [ 8 ] applied both crisp AHP and fuzzy AHP methods to a standardization problem for photovoltaic technological systems. Vinodh, Nagaraj, and Girubha [ 9 ] used the fuzzy VIKOR method for evaluating rapid prototyping technologies in an agile environment. Liu, You, Lu, and Chen [ 10 ] proposed a novel hybrid MCDM model for selection of healthcare waste treatment technologies.…”

Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration Technologies

Lee

2021

Micromachines

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Integrated devices incorporating MEMS (microelectromechanical systems) with IC (integrated circuit) components have been becoming increasingly important in the era of IoT (Internet of Things). In this study, a hybrid fuzzy MCDM (multi-criteria decision making) model was proposed to effectively evaluate alternative technologies that incorporate MEMS with IC components. This model, composed of the fuzzy AHP (analytic hierarchy process) and fuzzy VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) methods, solves the decision problem of how best to rank MEMS and IC integration technologies in a fuzzy environment. The six important criteria and the major five alternative technologies associated with our research themes were explored through literature review and expert investigations. The priority weights of criteria were derived using fuzzy AHP. After that, fuzzy VIKOR was deployed to rank alternatives. The empirical results show that development schedule and manufacturing capability are the two most important criteria and 3D (three-dimensional) SiP (system-in-package) and monolithic SoC (system-on-chip) are the top two favored technologies. The proposed fuzzy decision model could serve as a reference for the future strategic evaluation and selection of MEMS and IC integration technologies.

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“…The VIKOR method has significant application in decision-making processes in the field of service quality, marketing, insurance, banking, and so on (Wu, Tzeng, & Chen, 2009;Fu, Chu, Chao, Lee, & Liao, 2010;Shaverdi, Akbari, & Tafti, 2011;Bazzazi, Osanloo, & Karimi, 2011;Yucenur & Demirel, 2012;Ramezaniyan, Kazemi, Jafari, & Elahi, 2012;Mohaghar, Faithi, Zarchi, & Omidian, 2012;Kumar, Singh, & Dureja, 2012;Chen, 2013;Vinodh, Nagaraj, & Girubha, 2014;Buyukozkan & Gorener, 2015). Wang and Pang (2011) have used the VIKOR method as the main device in ranking the service quality of three online auctions.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Modified Multi-Criteria Methods for Improving Service Quality

Petrović

2020

TEME

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The development of the new and the modification of existing methods for improving the measurement of service quality is a basic prerequisite for the successful business of hotels, as well as their survival on the global market. The main objective of this paper is the modification of the ENTROPY and VIKOR methods, for the purpose of simplifying the measurement of service quality. In order to take account of the different guest expectations in hotels in cities, mountains and spas, the modification of the ENTROPY method has been performed with the aim of calculating the weight coefficients for each criterion within each alternative, i.e. calculating the weight coefficients for each dimension of service quality, separately for hotels in cities, hotels in mountains, and hotels in spas. Based on weight coefficients and the modified VIKOR method, the ranking of hotels has been carried out with regard to service quality. The modified multi-criteria methods provide adequate information to hotel managers on the extent to which the services provided in their hotel match the expectations of their guests, as well as on the service quality offered by the competitors.

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Application of Fuzzy VIKOR for selection of rapid prototyping technologies in an agile environment

Cited by 31 publications

References 21 publications

An additive manufacturing process selection approach based on fuzzy Archimedean weighted power Bonferroni aggregation operators

An additive manufacturing process selection approach based on fuzzy Archimedean weighted power Bonferroni aggregation operators

A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration Technologies

Modified Multi-Criteria Methods for Improving Service Quality

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