Supplier selection: A hybrid model using DEA, decision tree and neural network

Wu, Desheng Dash

doi:10.1016/j.eswa.2008.12.039

Cited by 242 publications

(89 citation statements)

References 24 publications

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“…Saen (2007) used IDEA (Imprecise Data Envelopment Analysis) to select the best suppliers based on both cardinal and ordinal data. Wu et al (2009) proposed an augmented DEA approach to supplier selection. Songhori et al (2011) presented a structured framework for helping decision makers to select the best suppliers for their firm using DEA.…”

Section: General Supplier Selection Methods In the Literaturementioning

confidence: 99%

The Fundamentals of Global Outsourcing for Manufacturers

Aksoy¹,

Öztürk²

2012

Manufacturing System

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Section: General Supplier Selection Methods In the Literaturementioning

confidence: 99%

The Fundamentals of Global Outsourcing for Manufacturers

Aksoy¹,

Öztürk²

2012

Manufacturing System

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“…Based on article reviewed by Ho et al [75], almost 18% article was used DEA as a tool for supplier selection. In general, the criteria studied was quality management, overall performance, efficiency, delivery process and distance of the supplier [76][77][78].…”

Section: Data Envelopment Analysis (Dea)mentioning

confidence: 99%

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

Muhammad¹,

Sapuan²,

Mastura³

2018

J. MECH. ENG. SCI.

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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.

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“…C elebi and Bayraktar [37] proposed a new method for integration of Neural Networks (NN) and DEA for evaluating of suppliers under incomplete information about evaluation criteria. Wu [38] assessed supplier performance by a combination of the DEA, Decision Trees (DT), and NNs models. Sanayei et al [39] used a VIKOR method under a fuzzy environment to solve multiple-criteria problems of supplier selection.…”

Section: Introductionmentioning

confidence: 99%

Design of an innovative construction model for supply chain management by measuring agility and cost of quality: An empirical study

et al. 2017

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Abstract. This paper aims to present a model for an agile supply chain network in construction enterprises with performance evaluation of suppliers and contractors. Management and selection of suppliers and contractors play an important role in the process of constructions since contractors are as corner stones of construction projects. Additionally, contractors are the main factor in converting resources to nal products. Traditionally, contractor selection in construction projects is on the basis of the lowest proposed price. However, there are various qualitative and quantitative criteria with di erent priorities associated in this regard in order to make the best decision. In this paper, a hybrid method of DEA/AHP/FDEMATEL is used. First, important and e ective evaluation criteria are selected through an FDEMATEL method. Then, the DEA/AHP method is implemented in order to evaluate and prioritize the selected indicators as well as to incorporate them in a supply chain. Furthermore, agility is involved in the considered supply chain network. Furthermore, in this paper, for the rst time in Iran, a supply chain model is studied and designed for civil companies.

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Supplier selection: A hybrid model using DEA, decision tree and neural network

Cited by 242 publications

References 24 publications

The Fundamentals of Global Outsourcing for Manufacturers

The Fundamentals of Global Outsourcing for Manufacturers

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

Design of an innovative construction model for supply chain management by measuring agility and cost of quality: An empirical study

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