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A New MADM Approach to Ranking Suppliers Based on Performance


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1 Business Studies and Development Office, Saipayadak (Saipa after sales services), Iran, Islamic Republic of
     

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One of the negative effects of cooperation with poor suppliers is damaging the brand image, whereas the poor suppliers do not accept the responsibility of those damages. In this paper, to resolve this limitation, a new MADM approach (Weighted Product Model) is proposed. The Weighted Product Model (WPM) is an effective approach in dealing with this kind of decision problem, because in the proposed approach, system with poor performance in some attributes is penalised more heavily. Therefore, the application of the WPM in supplier selection field is the aim of this paper. The main findings of this study confirm the effectiveness of the proposed models.

Keywords

MADM, Weighted Product Model (WPM), Supplier Selection Problem.
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  • Ahmed, A. H., Bwisa, H. M., & Otieno, R. O. (2012). Business selection using multi criteria decision analysis. International Journal of Business and Commerce, 1(5), 64-81.
  • Alinezhad, A., & Amini, A. (2011).Sensitivity analysis of TOPSIS technique: The results of change in the weight of one attribute on the fi nal ranking of alternatives. Journal of Optimization in Industrial Engineering, 7, 23-28.
  • Aruldoss, M., Lakshmi, T. M., & Venkatesan, V. P. (2013). A survey on multi criteria decision making methods and its applications. American Journal of Information Systems, 1(1), 31-43.
  • Athawale V. M., & Chakraborty, S. (2011). A comparative study on the ranking performance of some multi criteria decision making methods for industrial robot selection. International Journal of Industrial Engineering Computations, 2, 831-850.
  • Atomojo, R. N. P., Cahyani, A. D., & Lie, Y. (2014). Simulations modeling of tablet PCs selection using weighted product algorithm. Applied Mathematical Sciences, 8(115), 5705-5719.
  • Azadfallah, M. (2014). A supplier selection using an extension of MCDM models. Journal of Supply Chain Management Systems, 3(2), 41-46.
  • Birnbaum, M. H. (1998). Measurement, judgment and decision-making.Academic press.
  • Botezatu, N., Manta, V., & Stan, A. (2011).Self adaptability in secure embedded systems: An energy performance trade off. Proceedings of the world congress on engineering.Vol.I, WCE 2011, July 6-8, London, UK.1-5.
  • Muley, A. A., & Bajaj, V. H. (2010).A new MADM approach used for fi nite selection problem. Advances in information mining, ISSN: 0975-3265, 2(1), 8-12.
  • Sarode A. D., & Khodke, P. M. (2009). Performance measurement supply chain management. The International Journal of Applied Management and Technology, 8(1), 1-21.
  • Sarode, A. D., & Khodke, P. M. (2011). A framework for Performance measurement system of supply chain management. International Journal of advanced engineering Technology, 2(4), 182-190.
  • Savitha K., & Chandrasekar, C. (2011). Vertical handover decision schemes using SAW and WPM for network selection in heterogeneous wireless networks. Global Journal of Computer Science and Technology, 11(9), Version 1.0. 19-24.
  • Taghizadeh, H., Fegh-hi Farahmand, N., Pourmahmoud, J., & Azimi, M. H. (2014). Selection of environmentally conscious manufacturing programs using the MADM methods. Journal of Applied Environmental and Biological Science, 4(8), 135-145.
  • Triantaphyllou, E., Shu, B., Sanchez, S. N., & Ray, T. (1999). Multi criteria decision making an operations research approach.Encyclopedia of electrical and electronics engineering, 15, 175-186. John Wiley and Sons. New York.
  • Triantaphyllou, E., & Baig, K. (2005).The impact of aggregating benefi ts and cost criteria in four MCDM methods. IEEE Transactions on Engineering Management, 52, 213-226.
  • Triantaphyllou, E., & Lin, C. T.(1996). Development and evaluation of fi ve fuzzy Multiple Attribute Decision Making methods.International Journal of Approximate Reasoning, 14, 281-310.
  • Vijayalakshmi, S., Zayaraz, G., & Vijaylakshmi, V. (2010). Multi criteria decision analysis method for evaluation of software architectures.International Journal of Computer Applications, (0975-8887), 1(25), 22-27.
  • Yaghoubi, N. M., Baradaran, V., & Abdi, M. (2011). Planning a model for supplier selection with AHP and Grey systems theory. Business and Management Review, 1(7), 9-19.
  • Zavadskas, E. K., Antucheviciene, J., Saparauskas, J., & Turskis, Z. (2013). Multi criteria assessment of facades alternatives: peculiarities of ranking methodology. 11th international conference on modern building materials, structures and techniques. MBMST 2013, procedia engineering, 57(2013), 107-112.
  • Zhou, P., Ang, B. W., & Poh, K. L. (2006). Comparing aggregating methods for constructing the composite environmental index: an objective measure. Ecological Economics (Science Direct), 59, 305-311.

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  • A New MADM Approach to Ranking Suppliers Based on Performance

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Authors

Mohammad Azadfallah
Business Studies and Development Office, Saipayadak (Saipa after sales services), Iran, Islamic Republic of

Abstract


One of the negative effects of cooperation with poor suppliers is damaging the brand image, whereas the poor suppliers do not accept the responsibility of those damages. In this paper, to resolve this limitation, a new MADM approach (Weighted Product Model) is proposed. The Weighted Product Model (WPM) is an effective approach in dealing with this kind of decision problem, because in the proposed approach, system with poor performance in some attributes is penalised more heavily. Therefore, the application of the WPM in supplier selection field is the aim of this paper. The main findings of this study confirm the effectiveness of the proposed models.

Keywords


MADM, Weighted Product Model (WPM), Supplier Selection Problem.

References