Extended QFD and data-mining-based methods for supplier selection in mass customization

Ni, Min; Xu, Xiaowei; Deng, Shiming

doi:10.1080/09511920601150651

Cited by 56 publications

(25 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For example, Kermani, Nasiri, and Aliahmadi (2010) modelled supplier selection using a mixed method comprising a nested design, a multi-objective programming and fuzzy analytical hieratical programing in a single-echelon supply chain. In addition, Ni, Xu, and Deng (2007) developed a supplier selection methodology based on extended quality function deployment and data-mining techniques. Their method is based on two Multi Attribute Decision Making (MADM) methods: Fuzzy Analytical Hierarchy Process and ELECTREIII.…”

Section: Literature Reviewmentioning

confidence: 99%

Supplier selection in a single-echelon supply chain with horizontal competition using Imperialist competitive algorithm

Kermani

Aliahmadi

Salamat

et al. 2014

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

Nowadays, due to the importance of competition in supply chain, supplier selection is one of the most important issues in competition between manufacturers. Different companies take various criteria into account to select the appropriate suppliers. In this paper, we study a supplier selection problem, considering three key criteria: price, quality and delivery performance. For the first time in this paper a single-echelon supply chain has been studied at which each manufacturer tries not only to optimise his/her own situation but also to remove the other buyers from their optimum points. Hence, this paper considered a new competitive supplier selection problem with some assumption according to real world. In addition, because of new assumptions and complexity of the studied problem, an Imperialist Competitive Algorithm has been used to solve the problem. Finally the success of the mentioned model will be supported by a numerical example and the difference between decision making in competitive and non-competitive market will be shown.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Supplier selection in a single-echelon supply chain with horizontal competition using Imperialist competitive algorithm

Kermani

Aliahmadi

Salamat

et al. 2014

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

show abstract

“…Ni, Xu, and Deng (2007) applied a method with extended Quality Function Deployment (QFD) and data mining to investigate supplier selection (Ni et al, 2007). Li and Wang use a grey-based decision-making method to deal with fuzziness in supplier selection (Li & Wang, 2007).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy DEMATEL method for developing supplier selection criteria

Chang

2011

Expert Systems with Applications

612

281

View full text Add to dashboard Cite

“…The proposed approach aims at estimating the coupling strength of tasks in a DSM by making full use of the information contained in quality function deployment matrices. Nia et al (2007) developed a supplier selection methodology based on extended QFD and data-mining (DM) techniques in mass customisation. Tang et al (2007) presented a systematic approach that would support quality control through decomposing, transforming, optimising, evaluating and monitoring quality characteristics (QCs) in product development.…”

Section: Introductionmentioning

confidence: 99%

Defects tracking in mass customisation production using defects tracking matrix combined with principal component analysis

Wang

2013

International Journal of Production Research

View full text Add to dashboard Cite

One of the most important quality control tools for mass customisation production (MCP) is defects tracking. Classical statistical process control and design of experiment technologies are not useful for MCP quality control due to the extensive difference in organisational structures, values, management roles and systems, learning and training techniques and customer relations with the traditional mass production. Defects tracking work is often affected by the frequent reconfiguration of the production line and the interruption of the quality information flow. The purpose of this research is to develop an effective and efficient tool for defects tracking in MCP. A defect tracking matrix (DTM) based on house of quality is constructed to directly connect manufacturing technologies with quality defects within a production module. An AHP method is employed and a new correlation coefficients calculation algorithm is proposed to build the 'house'. The matrix, which is called 'defect-gene matrix', contains core defects and manufacturing technologies extracted from DTM by using principle component analysis. The defect-gene matrix can identify and track defects in mass customisation production without being affected by the frequent reconfiguration of the production line and the interruption of the quality information flow. The application revealed that the proposed DTM and defect-gene matrix was an effective and efficient tool for defects tracking in MCP. The defect-gene matrix brings a novel idea to defects tracking. The results of this research will help systematically in defects tracking in MCP.

show abstract

Extended QFD and data-mining-based methods for supplier selection in mass customization

Cited by 56 publications

References 10 publications

Supplier selection in a single-echelon supply chain with horizontal competition using Imperialist competitive algorithm

Supplier selection in a single-echelon supply chain with horizontal competition using Imperialist competitive algorithm

Fuzzy DEMATEL method for developing supplier selection criteria

Defects tracking in mass customisation production using defects tracking matrix combined with principal component analysis

Contact Info

Product

Resources

About