Application of fuzzy AHP – TOPSIS for ranking additive manufacturing processes for microfabrication

Anand, Mukul; Vinodh, S.

doi:10.1108/rpj-10-2016-0160

Cited by 37 publications

(15 citation statements)

References 37 publications

(38 reference statements)

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“…Anand and Vinodh [16] presented research to evaluate Additive Manufacturing (AM) procedures for micro-manufacturing using combined fuzzy AHP-TOPSIS. Parameters weights were derived using fuzzy AHP, whereas rankings were obtained using fuzzy TOPSIS.…”

Section: Related Workmentioning

confidence: 99%

Evaluating the Impact of Different Symmetrical Models of Ambient Assisted Living Systems

et al. 2021

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In recent years, numerous attempts have been made to enhance the living standard for old-aged people. Ambient Assisted Living (AAL) is an evolving interdisciplinary field aimed at the exploitation of knowledge and communication technology in health and tele-monitoring systems to combat the impact of the growing aging population. AAL systems are designed for customized, responsive, and predictive requirements, requiring high performance of functionality to ensure interoperability, accessibility, security, and consistency. Standardization, continuity, and assistance of system development have become an urgent necessity to meet the increasing needs for sustainable systems. In this article, we examine and address the methods of the different AAL systems. In addition, we analyzed the acceptance criteria of the AAL framework intending to define and evaluate different AAL-based symmetrical models, leveraging performance characteristics under the integrated fuzzy environment. The main goal is to provide an understanding of the current situation of the AAL-oriented setups. Our vision is to investigate and evaluate the potential symmetrical models of AAL systems and frameworks for the implementation of effective new installations.

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Section: Related Workmentioning

confidence: 99%

Evaluating the Impact of Different Symmetrical Models of Ambient Assisted Living Systems

et al. 2021

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“…Therefore, TOPSIS tool has been used to identify the optimized parameter settings was sub sequentially proposed [25]. As suggested by this method, the best alternative will be closest to the positive-ideal solution and at maximum distance from the negative ideal solution [26]. The detailed process flow chart of implementation of TOPSIS has been shown in Figure 7.…”

Section: Multi-criteria Optimizationmentioning

confidence: 99%

Taguchi S/N and TOPSIS Based Optimization of Fused Deposition Modelling and Vapor Finishing Process for Manufacturing of ABS Plastic Parts

et al. 2020

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Despite several additive manufacturing techniques are commercially available in market, Fused Deposition Modeling (FDM) is increasingly used by researchers and engineers for new product development. FDM is an established process with a plethora of advantages, but the visible surface roughness (SR), being an intrinsic limitation, is major barrier against utilization of fabricated parts for practical applications. In the present study, the chemical finishing method, using vapour of acetone mixed with heated air, is being used. The combined impact of orientation angle, finishing temperature and finishing time has been studied using Taguchi and ANOVA, whereas multi-criteria optimization is performed using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The surface finish was highly responsive to increase in temperature while orientation angle of 0° yielded maximum strength; increase in finishing time led to weight gain of FDM parts. As the temperature increases, the percentage change in surface roughness increases as higher temperature assists the melt down process. On the other hand, anisotropic behaviour plays a major role during tensile testing. The Signal-to-noise (S/N) ratio plots, and ANOVA results indicated that surface finish is directly proportionate to finishing time because a longer exposure results in complete layer reflowing and settlement.

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“…For instance, analytic hierarchy process (AHP) method (Ak and Braida, 2015; Pipatprapa et al , 2018; Haddach and Benfssahi, 2019), Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method (Ostad-Ahmad-Ghorabi et al , 2013; Bilbao-Terol et al , 2014; Jayasooriya et al , 2018) and analytic network process (ANP) method (Farias et al , 2019). Some authors have applied either hybrid methods combining two or more methods to address the limitations coming with these methods to reach the final decision, for instance, the AHP-TOPSIS method (Azimifard et al , 2018), LCA-TOPSIS (Vidal and Sánchez-Pantoja, 2019), TOPSIS-VIKOR named TOPKOR (Aghajani Mir et al , 2016 ; Sedady and Beheshtinia, 2019), or introduced the fuzzy concept to deal with uncertainty problem in the decision-making process, for instance, fuzzy AHP-TOPSIS (Anand and Vinodh, 2018) and fuzzy ANP (Chan and Wang, 2013).…”

Section: Theoretical Background and Related Workmentioning

confidence: 99%

Proposal of a hybrid decision-making model for the alignment of the environmental performance

Boulagouas

Chaib

Djebabra

2020

MEQ

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PurposeDecoupling of pressures ranging from regulatory compliance and stakeholders expectations to business competitiveness and sustainability, companies need to align their environmental strategies with a broader consideration of these influences. This paper aims at developing a dynamic alignment model to enhance the environmental performance that considers the influential pressures based on a multi-criteria decision-making process.Design/methodology/approachAuthors have proposed a dynamic model for the alignment of the environmental performance based on a hybrid multi-criteria decision-making approach combining the analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This model considers contemporary strategic dynamism of the environmental performance and provides a methodology to assist companies prioritizing the environmental aspects based on the influential pressures and deciding on the enhancement pathways.FindingsThe proposed model based on a hybrid multi-criteria decision-making process allows prioritizing the environmental aspects considering the allocated weights to the alignment-triggered pressures and draw the way to develop different pathways to improve the alignment.Practical implicationsThe proposed dynamic alignment model presents an instrument for the continuous alignment of the environmental performance and an effective management of changes and contributes to minimize gaps and divergences.Originality/valueIn this paper, the environmental performance has been approached through the contemporary strategic dynamism with the deployment of the multi-criteria decision-making techniques to yield an alignment framework for the environmental decision that combines the internal and external approaches for an effective and sustainable improvement of the environmental performance.

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Application of fuzzy AHP – TOPSIS for ranking additive manufacturing processes for microfabrication

Cited by 37 publications

References 37 publications

Evaluating the Impact of Different Symmetrical Models of Ambient Assisted Living Systems

Evaluating the Impact of Different Symmetrical Models of Ambient Assisted Living Systems

Taguchi S/N and TOPSIS Based Optimization of Fused Deposition Modelling and Vapor Finishing Process for Manufacturing of ABS Plastic Parts

Proposal of a hybrid decision-making model for the alignment of the environmental performance

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