Modelling procedure for the selection of steel pipes supplier by applying fuzzy AHP method

  • Edmundas Kazimieras Zavadskas Vilnius Gediminas Technical University, Institute of Sustainable Construction, Faculty of Civil Engineering, Lithuania
  • Zenonas Turskis Vilnius Gediminas Technical University, Institute of Sustainable Construction, Faculty of Civil Engineering, Lithuania
  • Željko Stević University of East Sarajevo, Faculty of Transport and Traffic Engineering Doboj, Bosnia and Herzegovina
  • Abbas Mardani Informetrics Research Group, Ton Duc Thang University, Vietnam and Faculty of Business Administration, Ton Duc Thang University, Vietnam
Keywords: fuzzy AHP, optimization, supplier selection


The aim of this research is the evaluation and selection of suppliers by applying the fuzzy multi-criteria analysis. The study used fuzzy Analytic Hierarchy Process (FAHP) to choose the optimal supplier for the purchase of materials necessary for the production of pre-insulated pipes. Decision-makers selected among five suppliers based on nine criteria: material cost, pipe length, delivery time, type of payment, transport distance, quality, reliability, flexibility and relationship with customers. Effective execution of procurement, in this case, the procurement of material needed for the production logistics subsystem, influences the overall efficiency of the business. It is vital to make the right decision when selecting a supplier, because the optimal choice ensures lower cost and higher quality of the product itself, and therefore more competitiveness in the market.


Download data is not yet available.


Aouadni, S., Rebai, A., & Turskis, Z. (2017). The Meaningful Mixed Data TOPSIS (TOPSIS-MMD) Method and its Application in Supplier Selection. Studies in Informatics and Control, 26(3), 353–363. DOI:

Barbarosoglu, G.; Yazgac, T. (1997). An application of the Analytic Hierarchy Process to the supplier selection problem. Production and Inventory Management Journal, 38(1), 14-21.

Bhutta, K. S.; Huq, F. (2002). Supplier selection problem: a comparison of the total cost of ownership and Analytic Hierarchy Process approaches. Supply Chain Management: An International Journal, 7(3), 126-135. DOI:

Bronja, H.; Bronja, H. (2015). Two-phase selection procedure of aluminized sheet supplier by applying fuzzy AHP and fuzzy TOPSIS methodology. Tehnički vjesnik, 22(4), 821-828. DOI:

Chan, F. T.M; Kumar, N. (2007). Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega, 35(4), 417-431. DOI:

Chang, D. Y. (1996) Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655. DOI:

Chatterjee, P., & Stević, Ž. (2019). A two-phase fuzzy AHP-fuzzy TOPSIS model for supplier evaluation in manufacturing environment. Operational Research in Engineering Sciences: Theory and Applications, 2(1), 72-90.

Chen, C. T.; Lin, C. T.; Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International journal of production economics, 102(2), pp. 289-301. DOI:

Erdogan, S. A., Šaparauskas, J., & Turskis, Z. (2017). Decision making in construction management: AHP and expert choice approach. Procedia Engineering, 172, 270–276. DOI:

Ertugrul, I.; Karakasoglu, N. (2006). The fuzzy analytic hierarchy process for supplier selection and an application in a textile company. Proceedings of 5th International Symposium on Intelligent Manufacturing Systems pp. 195-207.

Fallahpour, A., Wong, K. Y., Rajoo, S., Olugu, E. U., Nilashi, M., & Turskis, Z. (2020). A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model. Journal of Civil Engineering and Management, 26(3), 247-258.

Galankashi, M. R., Helmi, S. A., & Hashemzahi, P. (2016). Supplier selection in automobile industry: A mixed balanced scorecard–fuzzy AHP approach. Alexandria Engineering Journal, 55(1), 93-100. DOI:

Hashemkhani Zolfani, S., Rezaeiniya, N., Kazimieras Zavadskas, E., & Turskis, Z. (2011). Forest roads locating based on AHP and COPRAS-G methods: an empirical study based on Iran. E & M: Ekonomie a Management, 14(4), 6–21.

Jain, V., Sangaiah, A. K., Sakhuja, S., Thoduka, N., & Aggarwal, R. (2018). Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry. Neural Computing and Applications, 29(7), 555-564. DOI:

Karpak, B.; Kumcu, E.; Kasuganti, R. R. (2001). Purchasing materials in the supply chain: managing a multi-objective task. European Journal of Purchasing & Supply Management, 7(3), 209-216. DOI:

Keshavarz Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., & Turskis, Z. (2016). Extended EDAS method for fuzzy multi-criteria decision-making: an application to supplier selection. International Journal of Computers Communications & Control, 11(3), 358–371. DOI:

Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2017). A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations. Computers & Industrial Engineering, 112, 156–174. DOI:

Lee, A. H. (2009). A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks. Expert Systems with Applications, 36(2), 2879-2893. DOI:

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234-281. DOI:

Saaty, T. L. (1978). Exploring the interface between hierarchies, multiple objectives and fuzzy sets. Fuzzv Sets and Sysfems, I, 57-68. DOI:

Saaty, T. L. (1980). The Analytic Hierarchy Process, Mc Graw‐Hill, NewYork, DOI:

Saaty, T. L. (1982). The Analytic Hierarchy Process: A new approach to deal with fuzziness in architecture. Architectural Science Review, 25(3), 64-69. DOI:

Saaty, T. L. (1990) How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26. DOI:

Setyohadi, D. B., & Suyoto, S. (1977). Alternative selection scenarios of oil and gas using fuzzy analytical hierarchy process (FAHP). In AIP Conference Proceedings (Vol. 20021, No. 2018).

Stević Ž.; Alihodžić A.; Božičković Z.; Vasiljević M.; Vasiljević Đ. (2015) Application of combined AHP-TOPSIS model for decision making in management. / 5th International conference "Economics and Management – based On New Technologies“ EMONT (plenary session) / Vrnjačka Banja, Serbia, pp. 33-40

Stević, Ž., Tanackov, I., Vasiljević, M., Novarlić, B., & Stojić, G. (2016). An integrated fuzzy AHP and TOPSIS model for supplier evaluation. Serbian Journal of Management, 11(1), 15-27. DOI:

Turskis, Z., Antuchevičienė, J., Keršulienė, V., Gaidukas, G. (2019). Hybrid group MCDM model to select the most effective alternative of the second runway of the airport. Symmetry 2019, 11(6), 792.

Turskis, Z., Zavadskas, E. K., Antucheviciene, J., & Kosareva, N. (2015). A hybrid model based on fuzzy AHP and fuzzy WASPAS for construction site selection. International Journal of Computers Communications & Control, 10(6), 113–128. DOI:

Van Laarhoven, P. J., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy sets and Systems, 11(1-3), 229-241. DOI:

Verma, R.; Pullman, M. E. (1998). An analysis of the supplier selection process. Omega, 26(6), 739-750. DOI:

Weber, C. A.; Current, J. R.; Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18. DOI:

Xu, Z.; Liao, H. (2014). Intuitionistic fuzzy Analytic Hierarchy Process. Fuzzy Systems, IEEE Transactions on, 22(4), 749-761. DOI:

Yazdani, M., Wen, Z., Liao, H., Banaitis, A., & Turskis, Z. (2019). A grey combined compromise solution (CoCoSo-G) method for supplier selection in construction management. Journal of Civil Engineering and Management, 25(8), 858–874.

Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. DOI:

Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. (2016). Development of TOPSIS method to solve complicated decision-making problems—An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15(03), 645-682. DOI:

Zemlickienė, V., & Turskis, Z. (2020). Evaluation of the expediency of technology commercialization: a case of information technology and biotechnology. Technological and Economic Development of Economy, 26(1), 271-289.

Zhu, K. J.; Jing, Y.; Chang, D. Y. (1999). A discussion on extent analysis method and applications of fuzzy AHP. European Journal of Operational Research, 116(2), 450-456. DOI:

How to Cite
Kazimieras Zavadskas, E., Turskis, Z., Stević, Željko, & Mardani, A. (2020). Modelling procedure for the selection of steel pipes supplier by applying fuzzy AHP method. Operational Research in Engineering Sciences: Theory and Applications, 3(2), 39-53.