A novel hybrid multiple criteria decision making model for material selection with target-based criteria

Liu, Hu‐Chen; You, Jing; Lu, Zongxiang; Fan, Xiaoya

doi:10.1016/j.matdes.2014.03.071

Cited by 92 publications

(35 citation statements)

References 47 publications

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“…Although the AHP can be applied to rank alternatives and determine criteria weights, it assumes that the criteria are independent and fails to consider their interactions and dependencies. The ANP, an advanced version of the AHP, can deal with the dependence and feedback between criteria; but as indicated in [39][40][41], the assumption of equal weight for each cluster to obtain a weighted supermatrix in the ANP is not reasonable in practical situations.…”

Section: Comparison With Other Mcdm Methodsmentioning

confidence: 99%

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

You

Liu

et al. 2018

Mathematical Problems in Engineering

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580

383

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Decision making trial and evaluation laboratory (DEMATEL) is considered as an effective method for the identification of causeeffect chain components of a complex system. It deals with evaluating interdependent relationships among factors and finding the critical ones through a visual structural model. Over the recent decade, a large number of studies have been done on the application of DEMATEL and many different variants have been put forward in the literature. The objective of this study is to review systematically the methodologies and applications of the DEMATEL technique. We reviewed a total of 346 papers published from 2006 to 2016 in the international journals. According to the approaches used, these publications are grouped into five categories: classical DEMATEL, fuzzy DEMATEL, grey DEMATEL, analytical network process-(ANP-) DEMATEL, and other DEMATEL. All papers with respect to each category are summarized and analyzed, pointing out their implementing procedures, real applications, and crucial findings. This systematic and comprehensive review holds valuable insights for researchers and practitioners into using the DEMATEL in terms of indicating current research trends and potential directions for further research.

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Section: Comparison With Other Mcdm Methodsmentioning

confidence: 99%

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

You

Liu

et al. 2018

Mathematical Problems in Engineering

Self Cite

580

383

View full text Add to dashboard Cite

show abstract

“…The flowchart of the decision-making framework is illustrated in Figure 1. This hybrid MCDM model have been used to resolve various selection problems such as brand evaluation (Wang & Tzeng, 2012), smartphone technology acceptance (Huang & Kao, 2015), materials for engineering designs (Liu, You, Zhen, & Fan, 2014), the service selection in three dimensional printing industry (Liao, Wu, Huang, Kao, & Lee, 2014), low carbon suppliers (C. W. Hsu, Kuo, Shyu, & Chen, 2014), and RFID technology evaluation and selection (Lu, Lin, & Tzeng, 2013). Natural Disaster (a1) (Snedaker, 2013) Appropriate DR site should minimize influences by natural disasters.…”

Section: Methodsmentioning

confidence: 99%

Disaster Recovery Site Evaluations and Selections for Information Systems of Academic Big Data

Yang

Huang²,

Kao

et al. 2017

EURASIA J MATH SCI T

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The most dramatic factor shaping the future of higher education is Big Data and analytics. In the Big Data era, the explosive growth of massive data manipulations imposes a heavy burden on computation, storage, and communication in data centers. Increasing uncertainties in information system availability have become a daily serious problem. An appropriate evaluation and selection of the right information system disaster recovery (DR) site can ensure business continuity and investment optimization. However, most academic institutes always neglect the importance of DR. Not to mention the DR sites in the era of Big Data. Existing research results do not evaluate or select DR sites in general or those for academic Big Data applications in particular. Therefore, this research aims to establish an analytic framework for evaluating, selecting DR sites for academic Big Data. The proposed analytic framework is consisting of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based network process (DNP) and VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) methods. An empirical study based on a real Big Data DR application of an Asian high-performance computer center's evaluation and selection of DR sites for academic Big Data is used to illustrate the feasibility of the proposed framework. The analytic results can serve as a foundation for information technology administrators' strategies to reduce the performance gaps of a DR site for Big Data manipulations in general, and academic Big Data manipulations in special.

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“…For example, Peter et al [25] combined the fuzzy synthetic extent analysis method and fuzzy extended AHP to get the ultimate rank/priority of each criterion. Liu et al [26] proposed a mixed MCDM method with integration of modified VIKOR and DEMATEL-based ANP (analytical network process), for the enhancement of the dependability of the calculation results, aiming to help project planners handle the problem of the correlation analysis absence among criteria for the process of material selection. For the material selection problem of highly sensitive components, Shanian and Savadogo [27] used MCDM method to address it.…”

Section: Literature Reviewmentioning

confidence: 99%

Material Selection of Green Design Processes for Car Body via considering Environment Property

Han

et al. 2020

Mathematical Problems in Engineering

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Facing serious environmental degradation and its resulting of climate warming, how to conserve energy and reduce emissions becomes a serious issue for government supervisors and modern vehicle enterprises. Reducing the mass of a vehicle is one of the most effective ways to reduce emissions and improve fuel utilization, essential to persist the low-carbon and sustainable-development bases in industrial production processes. When it comes to the selection of lightweight material for a car body in the processes of vehicle production, it is essential to comprehensively evaluate multiple relevant attributes in order to select the optimal material from several alternatives. us, it can be seen as a multicriterion decision-making (MCDM) problem. However, it is difficult to consider both the uncertainty of the expert's preference and the imprecision of the attribute estimate. Considering this, this paper uses the method integrating grey relational analysis (GRA) with analytic hierarchy process (AHP) to solve the problem of lightweight material selection for a car body. e AHP method is used to determine the weight of each attribute, and the GRA method is to select the optimal material among several alternatives. Finally, a case study is applied to verify the practicability of the proposed approach. e result shows that the proposed multicriterion decision method provides a precise and objective foundation for making decisions about the material selection issue.

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A novel hybrid multiple criteria decision making model for material selection with target-based criteria

Cited by 92 publications

References 47 publications

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

Disaster Recovery Site Evaluations and Selections for Information Systems of Academic Big Data

Material Selection of Green Design Processes for Car Body via considering Environment Property

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