Journal of the Association of Engineers, India

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Fuzzy Probabilistic AHP on a Multi-Criteria Supply Chain Problem


Affiliations
1 Department of Business Administration, University of Burdwan, Burdwan-713104, West Bengal, India
2 Department of Mechanical and Automation Engineering, G. B. Pant Govt. Engineering College, New Delhi-110020, India
     

   Subscribe/Renew Journal


Fuzzy probabilistic AHP (Analytic Hierarchy Process) outranking multi-criteria decision making technique has been proposed in this paper, for a multi-criteria supplier ranking problem. Generally, practical situations face uncertainty in the selection of alternatives and criteria. Such situations can be dealt with the probabilistic treatment for both the alternatives and the criteria. This paper proposes fuzzy probabilistic orientation for both the alternatives and the criteria. The fuzzy probabilistic Analytic Hierarchy Process (AHP) outranking technique is applied for serving the purpose. Therefore, the main contribution of this paper lies in the fuzzy orientation of AHP and its application on supplier ranking problem. Numerical example shows the applicability of the proposed technique.

Keywords

Fuzzy Probability, Triangular Fuzzy Number, AHP, Supplier Ranking.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Ishizaka, A., and Nemery, P., Multi-Criteria Decision Analysis: Methods and Software, John Wiley & Sons Ltd., US, 2013.

  • Bandyopadhyay, S., and Bhattacharya, R., Finding optimum neighbor for routing based on multi-criteria, multi-agent and fuzzy approach, Journal of Intelligent Manufacturing, Vol. 26, No.1, pp. 25-42, 2015.

  • Kumar, A., Jain, V., and Kumar, S., A comprehensive environment friendly approach for supplier selection, Omega, Vol. 42, No.1, pp. 109-123, 2014.

  • Ho, L.H., Feng, S.Y., Lee, Y.C., and Yen, T.M., Using modified IPA to evaluate supplier's performance: multiple regression analysis and DEMATEL approach?, Expert Systems with Applications, Vol. 39, No.8, pp. 7102-7109, 2012.

  • Galankashi, M.R., Chegeni, A., Soleimanynanadegany, A., Memari, A., Anjomshoae, A., Helmi, S.A., and Dargi, A., Prioritizing green supplier selection criteria using fuzzy analytical network process, Procedia CIRP, Vol. 26, pp. 689-694, 12th Global Conference on Sustainable Manufacturing, 2015.

  • Lima, F.R.Jr., Osiro, L., and Carpinetti, L.C.R., A comparison between fuzzy AHP and fuzzy TOPSIS methods to supplier selection, Applied Soft Computing, Vol. 21, pp. 194-209, 2014.

  • Shemshadi, A., Shiraji, H., Toreihi, M., and Tarokh, M.J., A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting, Expert Systems with Applications, Vol. 38, pp. 12160-12167, 2011.

  • Bilisik, M.E., Caglar, N., and Bilisik, O.N.A., A comparative performance analyze model and supplier positioning in performance maps for supplier selection and evaluation, Procedia-Social and Behavioral Sciences, Vol. 58, pp. 1434-1442, 8th International Strategic Management Conference, 2012.

  • Feng, B., Fan, Z-P., and Li, Y., A decision method for supplier selection in multi-service outsourcing, International journal of Production Economics, Vol. 132, pp.240-250, 2011.

  • Scott, J., Ho, W., Dey, P.K., and Talluri, S., A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments, International Journal of Production Economics, Vol. 166, pp.226-237, 2015.

  • Rezaei, J., and Davoodi, M., A deterministic multi-item inventory model with supplier selection and imperfect quality, Applied Mathematical Modelling, Vol. 32, pp.2106-2116, 2008.

  • Zeydan, M.t, Colpan C. and Cobanoglu, C., A combined methodology for supplier selection and performance evaluation, Expert Systems with Applications, Vol. 38, pp.2741-2751, 2011.

  • Shaw, K., Shankar, R., Yadav, S.S. and Thakur, L.S., Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain, Expert Systems with Applications, Vol. 39, No.9, pp.8182-8192, 2012.

  • Kahraman, C., Cebeci, U. and Ulukan, Z., Multi-criteria supplier selection using fuzzy AHP, Logistics Information Management, Vol. 16, No.6, pp.382-394, 2003.

  • Chamodrakas, I., Batis, D. and Martakos, D., Supplier selection in electronic market places using satisficing and fuzzy AHP, Expert Systems with Applications, Vol. 37, No.1, pp.490-498, 2010.


Abstract Views: 447

PDF Views: 3




  • Fuzzy Probabilistic AHP on a Multi-Criteria Supply Chain Problem

Abstract Views: 447  |  PDF Views: 3

Authors

Susmita Bandyopadhyay
Department of Business Administration, University of Burdwan, Burdwan-713104, West Bengal, India
Arindam Kumar Chanda
Department of Mechanical and Automation Engineering, G. B. Pant Govt. Engineering College, New Delhi-110020, India

Abstract


Fuzzy probabilistic AHP (Analytic Hierarchy Process) outranking multi-criteria decision making technique has been proposed in this paper, for a multi-criteria supplier ranking problem. Generally, practical situations face uncertainty in the selection of alternatives and criteria. Such situations can be dealt with the probabilistic treatment for both the alternatives and the criteria. This paper proposes fuzzy probabilistic orientation for both the alternatives and the criteria. The fuzzy probabilistic Analytic Hierarchy Process (AHP) outranking technique is applied for serving the purpose. Therefore, the main contribution of this paper lies in the fuzzy orientation of AHP and its application on supplier ranking problem. Numerical example shows the applicability of the proposed technique.

Keywords


Fuzzy Probability, Triangular Fuzzy Number, AHP, Supplier Ranking.

References





DOI: https://doi.org/10.22485/jaei%2F2017%2Fv87%2Fi1-2%2F158490