Grey decision model for supplier evaluation and selection in process industry: a comparative perspective

The supplier management is one of the key issues of supply chain management because the cost of raw materials and components constitutes the main cost of a product. Selection of right supplier to meet the production demand is a prime problem in all manufacturing and process industries. A critical part of the supplier selection process is the determination of the relative importance of each of the contributing factors. This work presents an alternative decision model to evaluate the relative performance of suppliers which has multiple outputs and inputs. In this study, the grey relational analysis which uses grey relational grade as performance index is specially adopted to determine the optimal selection of suppliers. Moreover, the principal component analysis and entropy methods are applied to evaluate the weighting values corresponding to various performance characteristics so that their relative importance can be properly and objectively described. The method has been employed to aggregate multiple performance measures for a real-world data set of suppliers of a medium-sized firm operating in the electroplating industry. The results reveal that grey relation analysis coupled with principal component analysis can effectively be used to obtain the optimal selection of suppliers. Hence, this study confirms that the proposed approach can be a useful tool to improve the performance of supplier selection process in process industries.

[1]  Mohammad Jafar Tarokh,et al.  A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting , 2011, Expert Syst. Appl..

[2]  S. Rajakarunakaran,et al.  A distinct decision model for the evaluation and selection of a supplier for a chemical processing industry , 2012 .

[3]  Zhiwei Zhao,et al.  Evaluation and Selection of Supplier Based on Improved Grey Relation Analysis , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[4]  G. Kannan,et al.  Analysis of interactions of criteria and sub-criteria for the selection of supplier in the built-in-order supply chain environment , 2007 .

[5]  Hayri Baraçli,et al.  A framework for defining both qualitative and quantitative supplier selection criteria considering the buyer–supplier integration strategies , 2008 .

[6]  Selim Zaim,et al.  An application of data envelopment analytic hierarchy process for supplier selection: a case study of BEKO in Turkey , 2007 .

[7]  Jing Huang,et al.  An Entropy-based Approach for Supplier Selection with Interval Information , 2008, 2008 International Symposium on Electronic Commerce and Security.

[8]  Peide Liu,et al.  Research on the supplier selection of a supply chain based on entropy weight and improved ELECTRE-III method , 2011 .

[9]  Jean-Charles Pomerol,et al.  Multicriterion Decision in Management: Principles and Practice , 2012 .

[10]  C. Hwang.  Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey , 1979 .

[11]  Rosnah Mohd Yusuff,et al.  An optimal grey based approach based on TOPSIS concepts for supplier selection problem , 2009 .

[12]  Mehmet Sevkli,et al.  An application of the fuzzy ELECTRE method for supplier selection , 2010 .

[13]  Kwai-Sang Chin,et al.  A note on the application of the data envelopment analytic hierarchy process for supplier selection , 2009 .

[14]  Ka Chi Lam,et al.  A material supplier selection model for property developers using Fuzzy Principal Component Analysis , 2010 .

[15]  B. B. Ahuja,et al.  Journal of Theoretical and Applied Information Technology Vendor Selection in Supply Chain Using Relative Reliability Risk Evaluation , 2022 .

[16]  Jennifer Blackhurst,et al.  Supplier evaluation and selection: an augmented DEA approach , 2009 .

[17]  M. Braglia,et al.  Vendor Selection Using Principal Component Analysis , 2000 .

[18]  Zhujun Liu,et al.  The supplier selection application based on two methods: VIKOR algorithm with entropy method and Fuzzy TOPSIS with vague sets method , 2011 .

[19]  W. C. Benton,et al.  Vendor selection criteria and methods , 1991 .

[20]  Arshad Noor Siddiquee,et al.  Grey relational analysis coupled with principal component analysis for optimisation design of the process parameters in in-feed centreless cylindrical grinding , 2010 .

[21]  D. Yamaguchi,et al.  A grey-based rough decision-making approach to supplier selection , 2008 .

[22]  H. Hotelling.  Analysis of a complex of statistical variables into principal components. , 1933 .

[23]  A. Amirkhani,et al.  Supplier Selection Via Principal Component Analysis: An Empirical Examination , 2008 .

[24]  Ching-Chow Yang,et al.  Supplier selection using combined analytical hierarchy process and grey relational analysis , 2006 .

[25]  J. Deng,et al.  Introduction to Grey system theory , 1989 .

[26]  Desheng Dash Wu,et al.  Enterprise risk management: a DEA VaR approach in vendor selection , 2010 .

[27]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[28]  Chih-Hung Tsai,et al.  Applying Grey Relational Analysis to the Vender Evaluation Model , 2003 .

[29]  Hao Hao Jiang,et al.  Supplier Selection Based on the Principal Component Analysis , 2011 .

[30]  B. Vahdani,et al.  Selecting suppliers using a new fuzzy multiple criteria decision model: the fuzzy balancing and ranking method , 2010 .

[31]  S. H. Cheraghi,et al.  Critical Success Factors For Supplier Selection: An Update , 2011 .

[32]  Ashraf Labib,et al.  A supplier selection model: a comparison of fuzzy logic and the analytic hierarchy process , 2011 .