An Integrated Method for Product Material Selection Considering Environmental Factors and a Case Study

Cao, Hua Jun; Liu, Fei; Li, Cong Bo; Lei, Chun

doi:10.4028/www.scientific.net/msf.532-533.1032

Cited by 16 publications

(7 citation statements)

References 4 publications

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“…[107][108][109][110][111] showed that GRA's effectiveness consisted of nonlinear constraints, uncertainties, and conflicting objectives condition. With uncertainties in evaluating, Cao et al 108 and Chan and Tong 111 considered environmental GRA when selecting a material. However, integrations suggested by non-linear constraints and uncertainties from sustainable and green materials present subjectivity and conflicting evaluation criteria.…”

Section: Optimisation and Mathematical Methodsmentioning

confidence: 99%

A systematic review on material selection methods

Rahim

Musa

Ramesh

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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Technological advancements and the growing material set in the world have created a large variety of options for industrial designers, but little attention has been given to the tools and methods that support material selection processes. In this paper, we report on a comprehensive systematic literature review (SLR) guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement on methods or approaches reported for supporting material selection processes. This review covers various published literature, spanning from 2000 to 2018. The purpose is to examine in detail the evolution of the extensive body of research, its research streams and to position possible areas for further research. A classification framework consisting of six categories of selection approaches was derived from the extensive literature. Additionally, a detailed analysis of predominant approaches was presented along with their advantages and limitations with respect to the material selection domain. Taken together, the insights gained from this study may be of assistance to new researchers and practitioners who are looking for potential selection methods for their specific applications. The review also found that there is an increasing trend of research in recent years in the area of OR-based method application specifically on the multi-criteria decision-making supporting material selection processes.

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Section: Optimisation and Mathematical Methodsmentioning

confidence: 99%

A systematic review on material selection methods

Rahim

Musa

Ramesh

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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show abstract

“…al., 2010) 1-Machine tool (Antonio et. al., 2012) 1-Printer (Boonkanit and Apikajornsin, 2005) 2-Wheelchair (Hambali, 2008) 3-Automotive (Hambali, 2008) 4-Hospital Bed (Sarfaaz and Jenab, 2012) 1-Electronic housing (Cao et. al., 2006) 2-Key (Dweiri and Oqla, 2009) 3-Automotive (Mayyas et.…”

Section: Manufacturing Processmentioning

confidence: 99%

The Use of Analytical Hierarchy Process (AHP) in Product Development Process

Razikin¹,

Ariff²,

Mahmood³

et al. 2013

Proceedings of the International Symposium on the Analytic Hierarchy Process

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The use of the analytical hierarchy process (AHP) in the product development process was explored in this paper. AHP is a decision-making method has been widely used for more than 20 years recently and it has also been used in product development activities. Related articles around the years 2002 to 2012 were identified to review the implementation of the AHP methodology in product development activities. The use of AHP is not only limited to the AHP itself but can be integrated with other design tools. This paper shows the AHP applications and its integration in product development activities. The framework was developed to describe the relationship AHP with the other design tools in the product development activities. Therefore, it may be used to help decision makers to select the appropriate design tool in the area of product development which enhance the AHP applications in the product development activities.

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“…They compared their findings with the multiplicative competitive interaction model and found that the grey approach yielded the better solution. Cao et al [29] developed an integrated grey decision model for the selection of the material of a product.…”

Section: Introductionmentioning

confidence: 99%

“…Most methods for supplier selection are analytic hierarchy processes [1,3,4], which depend on subjective data provided by experts. In [25][26][27][28][29], grey incidence analysis with equal weighting has been used for supplier selection, as it does not require large or regular data samples and hence has an important practical significance. However, their methods require subjective data from experts and equally weighted factors and initial data to form behavioural sequences are needed to calculate the degree of grey incidence in Deng's grey incidence analysis.…”

Section: Introductionmentioning

confidence: 99%

Green Supplier Selection for Process Industries Using Weighted Grey Incidence Decision Model

2018

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Proper supplier selection to meet production demand is a major aspect of all manufacturing and process industries. Green supplier selection has been one of the most critical factors for environmental protection on account of increasing consumption levels and for sustainable development as well. This paper aims at developing an applicable methodology for green supplier selection for the process industry. In this study, both economic and environmental criteria are considered and a comprehensive weighted grey incidence decision approach for green supplier evaluation and selection in a process industry is proposed. First, an overall green supplier selection index system for process industries is considered; then a weighted grey incidence decision-making model with improved grey incidence coefficients and weighted degree of grey incidence is provided. Improved grey incidence coefficients are defined using transformation sequences of the initial data. To eliminate the ill effects from the use of equal weights, the maximum entropy method is used to determine the weights of the improved grey incidence coefficients. An application example is proposed with the data collected for the chemical processing industry, which provides acceptable results in determining the better supplier. In the end appendix, some theory regarding the weights for grey incidence coefficients is proposed. The empirical results indicate that the model is of great practical value for green supplier selection in the process industry.

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An Integrated Method for Product Material Selection Considering Environmental Factors and a Case Study

Cited by 16 publications

References 4 publications

A systematic review on material selection methods

A systematic review on material selection methods

The Use of Analytical Hierarchy Process (AHP) in Product Development Process

Green Supplier Selection for Process Industries Using Weighted Grey Incidence Decision Model

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