Assessment of Supply Chain Management Maturity

Tramarico, Claudemir Leif; Salomon, Valério Antônio Pamplona; Marins, Fernando Augusto Silva

doi:10.13033/isahp.y2016.043

Search citation statements

Order By: Relevance

Paper Sections

Select...

Materials Selection Of Natural Fibre Composites Tools1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2018

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tramarico et al [27] reported a trend of application of MCDM tools which was obtained from published articles in year 1990 to 2014 as shown in Figure 2. From the study, AHP was the commonly applied MCDM tool and followed by TOPSIS and ANP.…”

Section: Materials Selection Of Natural Fibre Composites Toolsmentioning

confidence: 99%

Multi-criteria decision-making tools for material selection of natural fibre composites: A review

Muhammad¹,

Sapuan²,

Mastura³

2018

J. MECH. ENG. SCI.

View full text Add to dashboard Cite

Materials selection in manufacturing process is an important stage and should be performed in parallel with selection of manufacturing process. In automotive industry, production of green automotive component could utilize the natural sources such as plant fibres. In recent years, several multi-criteria decision-making (MCDM) techniques are suggested to choose the best materials for particular application. Materials selection tools for natural fibre composites are studied from past researchers with the summary of the advantage and disadvantages. In addition, new optimization approach in materials selection by using statistical analysis such as multiple linear regression (MLR), response surface methodology (RSM) and Taguchi method (TM) is proposed in this study. The proposed method could evaluate the criteria or attribute in materials selection precisely by analyse the relationship of the parameters, goodness of fit, correlation, analysis of variance (ANOVA), determination of coefficient and the significant criteria in to the desired goal of the design problem.

show abstract

Section: Materials Selection Of Natural Fibre Composites Toolsmentioning

confidence: 99%