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Year 2013, Volume: 2 Issue: 2, 56 - 74, 01.06.2013

Abstract

References

  • Barbarosoglu, G., and Yazgac, T. (1997), An application of the analytic hierarchy process to the supplier selection proble, Production and Inventory Management Journal, 38(1), 14–21.
  • Bayazit, O., (2006), Use of analytic network process in vendor selection decisions, Benchmarking: An International Journal 13 (5), 566–579.
  • Benton, W.C., 1991, Quantity discount decisions under conditions of multiple items, multiple suppliers and resource limitations, International Journal of Production Research 29 (10), 195319
  • Behzadian, M., Otaghsara, S.K., Yazdani, M., Ignatius, J., 2012.A state-of the-art survey of TOPSIS applications. Expert Systems with Applications 39 (2012) 13051–13069
  • BhutiaP.W., and Phipon R. (2012), Application of AHP and TOPSIS method for supplier selection problem, IOSR Journal of Engineering 2(10), 43-50.
  • Chan, F.T.S.,(2003), Interactive selection model for supplier selection process: An analytical hierarchy process approach, International Journal Production Research 41 (15), 3549–3579.
  • Chan, F.T.S., and Kumar, N., (2007), Global supplier development considering risk factors using fuzzy extended AHP-based approach,OMEGA – International Journal of Management Science 35 (4), 417–431.
  • Chan, F.T.S., Chan, H.K., Ip, R.W.L., Lau, H.C.W., (2007), A decision support system for supplier selection in the airline industry, Proceedings of the Institution of Mechanical Engineers Part B – Journal of Engineering Manufacture 221 (4), 741–758.
  • Chen, S. J.,and Hwang, C. L. (1992). Fuzzy multiple attribute decision making: Methods and applications. Berlin: Springer- Verlag
  • Dagdeviren, M., Yavuz, S., Kilinc, N., 2009. Weapon selection using the AHP and TOPSIS methods under fuzzy environment, Expert Systems with Applications, 36, 8143-8151
  • Demirtas, E.A., andÜstün, Ö., (2008), An integrated multi-objective decision making process for supplier selection and order allocation, OMEGA – International Journal of Management Science 36 (1), 76–90.
  • Dickson, G. W. (1966), An analysis of supplier selection system and decision, Journal of Purchasing, 2(1), 5–17.
  • Ding, H., Benyoucef, L., Xie, X., (2005), A simulation optimization methodology for supplier selection problem, International Journal Computer Integrated Manufacturing, 18 (2–3), 210–224.
  • Ellram, L. M. (1990), The supplier selection decision in strategic partnerships. Journal of Purchasing and Materials Management, 26(4), 8–14.
  • Fazlollahtabar, H., Mahdavi, I., TalebiAshoori, M., Kaviani, S., Mahdavi-Amiri, N. (2011), A multi-objective decision-making process of supplier selection and order allocation for multi-period scheduling in an electronic market, International Journal of Advanced Manufacturing Technology, 52, 1039–1052.
  • Garfamy, R.M., (2006), A data envelopment analysis approach based on total cost of ownership for supplier selection, Journal of Enterprise Information Management, 19 (6), 662–678.
  • Gencer, C., and Gürpinar, D., (2007), Analytic network process in supplier selection: A case study in an electronic firm, Applied Mathematical Modeling, 31 (11), 2475–2486.
  • G UANG Y., W EN -J IE H., L IN -L I L., (2010), U SING AHP AND TOPSIS A PPROACHES IN N UCLEAR P OWER P LANT E QUIPMENT S UPPLIER S ELECTION , V OL .410-420 PP .761-764.
  • Hou, J., and Su, D., (2007), EJB–MVC oriented supplier selection system for mass customization, Journal of Manufacturing Technology Management, 18 (1), 54–71.
  • Hwang, C.L., and Yoon, K. (1981). Multiple attribute decision making: Method and application. New York: Spring-verlag.
  • Jadidi, O., Firouzi, F., Bagliery, E., (2010),TOPSIS Method for Supplier Selection Problem, World Academy of Science, Engineering and Technology 47, 956-958
  • Kahraman, C., Cebeci, U., Ulukan, Z., (2003), Multi-criteria supplier selection using fuzzy AHP, Logistics Information Management, 16 (6), 382–394.
  • Lai, Y.J., Liu, T.Y., Hwang, C.L. (1994). TOPSIS for MODM. European Journal of Operational Research, 76, 486-500
  • Lau, H.C.W., Lee, C.K.M., Ho, G.T.S., Pun, K.F., Choy, K.L., (2006), A performance benchmarking system to support supplier selection. International Journal of Business Performance Managemen,t 8 (2–3), 132–151.
  • Lee, C. C., and Ou-Yang, C. (2009), A neural networks approach for forecasting the supplier's bid prices in supplier selection negotiation process, Expert Systems With Applications, 36(2), p. 296129
  • Lee, S., Kim, W., Kim, Y.M., Oh, K.J., 2012.Using AHP to determine intangible priority factors for technology transfer adoption. Expert Systems with Applications, 39, 6388-6395.
  • Liao, Z., and Rittscher, J., (2007), A multi-objective supplier selection model under stochastic demand conditions, International Journal of Production Economics, 105 (1), 150–159.
  • Liberatore, M.J., and Nydick, R.L., (1997). Group Decision Making In Higher Education Using The Analytic Hierarchy Process, Research In Higher Education, Vol. 38, No. 5
  • Liu, F.H.F., and Hai, H.L., (2005), The voting analytic hierarchy process method for selecting supplier, International Journal of Production Economics 97 (3), 308–317.
  • Mazurak, R. E., Rao, S. R., Scotton, D. W. (1985), Spreadsheet software application in purchasing. Journal of Purchasing and Materials Management, 21, 8–16.
  • Ng, W.L., (2008), An efficient and simple model for multiple criteria supplier selection problem, European Journal of Operational Research, 186 (3), 1059–1067.
  • Ramanathan, R., (2007), Supplier selection problem: Integrating DEA with the approaches of total cost of ownership and AHP, Supply Chain Management: An International Journal, 12 (4), 258– 2
  • Saaty, T.L.,1980. The analytic hierarchy process. New York: McGraw-Hill.
  • Saaty, T.L., (1990). How To Make Decision: The Analytic Hierarchy Process, European Journal of Operational Research,North_Holland, 48, 9-26.
  • Saaty, T. L., and Vargas Luis L., (2001). Models, Methods, Conceptsand Applications of The Analytic Hierarchy Process. International Series in Operations Research and Management Science, Kluwer Academic Publishers.
  • Saaty, T. L.,(2008). Decision Making With The Analytic Hierarchy Process. Int. J. Services Sciences, 1 (1), 83.
  • Sarkis, J., Talluri, S., 2002. A model for strategic supplier selection. Journal of Supply Chain Management 38 (1), 18–28.
  • Sevkli, M., Koh, S.C.L., Zaim, S., Demirbag, M., Tatoglu, E., (2007), An application of data envelopment analytic hierarchy process for supplier selection: A case of BEKO in Turkey, International Journal of Production Research, 45 (9),1973–2003.
  • Shahroudi, K., Rouydel H., Assimi, S., Eyvazi, H., R. (2011), Supplier selection and order allocation a main factor in supply chain, 3rd International Conference on Advanced Management Science, IACSIT Press, Singapore.
  • Shahroudi, K. and Rouydel, H. (2012), Using a multi-criteria decision making approach (ANPTOPSIS) to evaluate suppliers in Iran's auto industry, International Journal of Applied Operational Research, 2(2), 37-48.
  • Talluri, S., and Sarkis, J., (2002), A model for performance monitoring of suppliers, International Journal of Production Research, 40 (16), 4257–4269.
  • Talluri, S., and Narasimhan, R., (2003),Vendor evaluation with performance variability: A max– min approach, European Journal of Operational Research 146 (3), 543–552.
  • Tsaur, R.C., 2011. Decision risk analysis for an interval TOPSIS method. Applied Mathematics and Computation 218 (2011) 4295–4304
  • Weber, C. A., Current, J. R., Benton, W. C. (1991), Vendor selection criteria and methods, European Journal of Operational Research, 50(1), 2–18.
  • Wei, S., Zhang, J., Li, Z. (1997), A Supplier Selecting System Using A Neural Network, IEEE International Conference on Intelligent Processing Systems, pp. 468-471, ISBN: 0- 7803-4253-4, Beijing China, October 28-31.
  • Wu, T., Shunk, D., Blackhurst, J., Appalla, R., (2007), AIDEA: A methodology for supplier evaluation and selection in a supplier-based manufacturing International Journal of Manufacturing Technology and Management, 11 (2), 174–192.
  • Xu X., and Lin J. (2010), Strategic Supplier Network for Supplier Selection, Journal of Computers, 5(6), 975-986.
  • Yahya, S. and B. Kingsman (1999), Vendor rating for an entrepreneur development programme: a case study using the analytic hierarchy process method, Journal of the Operational Research Society, 50, 916-930.
  • Vimal J., Chaturverdi V., DubeyA.K, (2012),Application of topsis method for supplier selection in manufacturing industry, IJREAS, 2(5), 25-35.
  • Yang, G., Jie, H.,W.,Lei, Li, L. (2.010), Using AHP and TOPSIS Approaches in Nuclear Power Plant Equipment Supplier Selection, Key engineering Materials, Vols. 414-420 Yoo, K.E.,and Choi, Y.C.,(2006). Analytic Hierarchy Process Approach For Identifying Relative Importance Of Factors To Improve Passenger Security Checks At Airports, Journal of Air Transport Management 12, 135–142
  • Yoon, K. (1980). Systems selection by multiple attributes decision making . PhD Dissertation, Kansas State University, Manhattan, Kansas

Combining Analytical Hierarchy Process and Topsis Approaches for Supplier Selection in a Cable Company

Year 2013, Volume: 2 Issue: 2, 56 - 74, 01.06.2013

Abstract

In the competitive business environment of the 21st century, organizations must reply quickly and precisely to customer demands. The choice of suppliers and their performance assessment are becoming major challenges that face supply chain managers or directors. Evaluating suppliers and selecting one of them are complicated tasks due to the fact that various criteria or objectives must be considered in the decision making process. Also in many real world cases the criteria are not equally important for the purchase managers. In this study, we proposed a supplier selection analysis model considering both Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Subjective and objective opinions of purchase managers/experts turn into quantitative form with AHP. TOPSIS technique is used for calculating the supplier’s ratings. The aim of this paper is to determine the appropriate supplier providing the most customer satisfaction for the criteria identified in the supply chain. In this paper, data taken from a well-known cable manufacturing company in Turkey is used to illustrate the supplier selection procedure. Due to the fact that main raw material used in all cables, the company strongly focuses on supply of the Electrolytic Copper Cathode. The company detects eight different criteria for procurement of the Electrolytic Copper Cathode. These are origin, quality, availability, cost, delivery requirements, cost of conveyance, reliability of supplier and quality certificates. There are four firms providing the Electrolytic Copper Cathode for the company.

References

  • Barbarosoglu, G., and Yazgac, T. (1997), An application of the analytic hierarchy process to the supplier selection proble, Production and Inventory Management Journal, 38(1), 14–21.
  • Bayazit, O., (2006), Use of analytic network process in vendor selection decisions, Benchmarking: An International Journal 13 (5), 566–579.
  • Benton, W.C., 1991, Quantity discount decisions under conditions of multiple items, multiple suppliers and resource limitations, International Journal of Production Research 29 (10), 195319
  • Behzadian, M., Otaghsara, S.K., Yazdani, M., Ignatius, J., 2012.A state-of the-art survey of TOPSIS applications. Expert Systems with Applications 39 (2012) 13051–13069
  • BhutiaP.W., and Phipon R. (2012), Application of AHP and TOPSIS method for supplier selection problem, IOSR Journal of Engineering 2(10), 43-50.
  • Chan, F.T.S.,(2003), Interactive selection model for supplier selection process: An analytical hierarchy process approach, International Journal Production Research 41 (15), 3549–3579.
  • Chan, F.T.S., and Kumar, N., (2007), Global supplier development considering risk factors using fuzzy extended AHP-based approach,OMEGA – International Journal of Management Science 35 (4), 417–431.
  • Chan, F.T.S., Chan, H.K., Ip, R.W.L., Lau, H.C.W., (2007), A decision support system for supplier selection in the airline industry, Proceedings of the Institution of Mechanical Engineers Part B – Journal of Engineering Manufacture 221 (4), 741–758.
  • Chen, S. J.,and Hwang, C. L. (1992). Fuzzy multiple attribute decision making: Methods and applications. Berlin: Springer- Verlag
  • Dagdeviren, M., Yavuz, S., Kilinc, N., 2009. Weapon selection using the AHP and TOPSIS methods under fuzzy environment, Expert Systems with Applications, 36, 8143-8151
  • Demirtas, E.A., andÜstün, Ö., (2008), An integrated multi-objective decision making process for supplier selection and order allocation, OMEGA – International Journal of Management Science 36 (1), 76–90.
  • Dickson, G. W. (1966), An analysis of supplier selection system and decision, Journal of Purchasing, 2(1), 5–17.
  • Ding, H., Benyoucef, L., Xie, X., (2005), A simulation optimization methodology for supplier selection problem, International Journal Computer Integrated Manufacturing, 18 (2–3), 210–224.
  • Ellram, L. M. (1990), The supplier selection decision in strategic partnerships. Journal of Purchasing and Materials Management, 26(4), 8–14.
  • Fazlollahtabar, H., Mahdavi, I., TalebiAshoori, M., Kaviani, S., Mahdavi-Amiri, N. (2011), A multi-objective decision-making process of supplier selection and order allocation for multi-period scheduling in an electronic market, International Journal of Advanced Manufacturing Technology, 52, 1039–1052.
  • Garfamy, R.M., (2006), A data envelopment analysis approach based on total cost of ownership for supplier selection, Journal of Enterprise Information Management, 19 (6), 662–678.
  • Gencer, C., and Gürpinar, D., (2007), Analytic network process in supplier selection: A case study in an electronic firm, Applied Mathematical Modeling, 31 (11), 2475–2486.
  • G UANG Y., W EN -J IE H., L IN -L I L., (2010), U SING AHP AND TOPSIS A PPROACHES IN N UCLEAR P OWER P LANT E QUIPMENT S UPPLIER S ELECTION , V OL .410-420 PP .761-764.
  • Hou, J., and Su, D., (2007), EJB–MVC oriented supplier selection system for mass customization, Journal of Manufacturing Technology Management, 18 (1), 54–71.
  • Hwang, C.L., and Yoon, K. (1981). Multiple attribute decision making: Method and application. New York: Spring-verlag.
  • Jadidi, O., Firouzi, F., Bagliery, E., (2010),TOPSIS Method for Supplier Selection Problem, World Academy of Science, Engineering and Technology 47, 956-958
  • Kahraman, C., Cebeci, U., Ulukan, Z., (2003), Multi-criteria supplier selection using fuzzy AHP, Logistics Information Management, 16 (6), 382–394.
  • Lai, Y.J., Liu, T.Y., Hwang, C.L. (1994). TOPSIS for MODM. European Journal of Operational Research, 76, 486-500
  • Lau, H.C.W., Lee, C.K.M., Ho, G.T.S., Pun, K.F., Choy, K.L., (2006), A performance benchmarking system to support supplier selection. International Journal of Business Performance Managemen,t 8 (2–3), 132–151.
  • Lee, C. C., and Ou-Yang, C. (2009), A neural networks approach for forecasting the supplier's bid prices in supplier selection negotiation process, Expert Systems With Applications, 36(2), p. 296129
  • Lee, S., Kim, W., Kim, Y.M., Oh, K.J., 2012.Using AHP to determine intangible priority factors for technology transfer adoption. Expert Systems with Applications, 39, 6388-6395.
  • Liao, Z., and Rittscher, J., (2007), A multi-objective supplier selection model under stochastic demand conditions, International Journal of Production Economics, 105 (1), 150–159.
  • Liberatore, M.J., and Nydick, R.L., (1997). Group Decision Making In Higher Education Using The Analytic Hierarchy Process, Research In Higher Education, Vol. 38, No. 5
  • Liu, F.H.F., and Hai, H.L., (2005), The voting analytic hierarchy process method for selecting supplier, International Journal of Production Economics 97 (3), 308–317.
  • Mazurak, R. E., Rao, S. R., Scotton, D. W. (1985), Spreadsheet software application in purchasing. Journal of Purchasing and Materials Management, 21, 8–16.
  • Ng, W.L., (2008), An efficient and simple model for multiple criteria supplier selection problem, European Journal of Operational Research, 186 (3), 1059–1067.
  • Ramanathan, R., (2007), Supplier selection problem: Integrating DEA with the approaches of total cost of ownership and AHP, Supply Chain Management: An International Journal, 12 (4), 258– 2
  • Saaty, T.L.,1980. The analytic hierarchy process. New York: McGraw-Hill.
  • Saaty, T.L., (1990). How To Make Decision: The Analytic Hierarchy Process, European Journal of Operational Research,North_Holland, 48, 9-26.
  • Saaty, T. L., and Vargas Luis L., (2001). Models, Methods, Conceptsand Applications of The Analytic Hierarchy Process. International Series in Operations Research and Management Science, Kluwer Academic Publishers.
  • Saaty, T. L.,(2008). Decision Making With The Analytic Hierarchy Process. Int. J. Services Sciences, 1 (1), 83.
  • Sarkis, J., Talluri, S., 2002. A model for strategic supplier selection. Journal of Supply Chain Management 38 (1), 18–28.
  • Sevkli, M., Koh, S.C.L., Zaim, S., Demirbag, M., Tatoglu, E., (2007), An application of data envelopment analytic hierarchy process for supplier selection: A case of BEKO in Turkey, International Journal of Production Research, 45 (9),1973–2003.
  • Shahroudi, K., Rouydel H., Assimi, S., Eyvazi, H., R. (2011), Supplier selection and order allocation a main factor in supply chain, 3rd International Conference on Advanced Management Science, IACSIT Press, Singapore.
  • Shahroudi, K. and Rouydel, H. (2012), Using a multi-criteria decision making approach (ANPTOPSIS) to evaluate suppliers in Iran's auto industry, International Journal of Applied Operational Research, 2(2), 37-48.
  • Talluri, S., and Sarkis, J., (2002), A model for performance monitoring of suppliers, International Journal of Production Research, 40 (16), 4257–4269.
  • Talluri, S., and Narasimhan, R., (2003),Vendor evaluation with performance variability: A max– min approach, European Journal of Operational Research 146 (3), 543–552.
  • Tsaur, R.C., 2011. Decision risk analysis for an interval TOPSIS method. Applied Mathematics and Computation 218 (2011) 4295–4304
  • Weber, C. A., Current, J. R., Benton, W. C. (1991), Vendor selection criteria and methods, European Journal of Operational Research, 50(1), 2–18.
  • Wei, S., Zhang, J., Li, Z. (1997), A Supplier Selecting System Using A Neural Network, IEEE International Conference on Intelligent Processing Systems, pp. 468-471, ISBN: 0- 7803-4253-4, Beijing China, October 28-31.
  • Wu, T., Shunk, D., Blackhurst, J., Appalla, R., (2007), AIDEA: A methodology for supplier evaluation and selection in a supplier-based manufacturing International Journal of Manufacturing Technology and Management, 11 (2), 174–192.
  • Xu X., and Lin J. (2010), Strategic Supplier Network for Supplier Selection, Journal of Computers, 5(6), 975-986.
  • Yahya, S. and B. Kingsman (1999), Vendor rating for an entrepreneur development programme: a case study using the analytic hierarchy process method, Journal of the Operational Research Society, 50, 916-930.
  • Vimal J., Chaturverdi V., DubeyA.K, (2012),Application of topsis method for supplier selection in manufacturing industry, IJREAS, 2(5), 25-35.
  • Yang, G., Jie, H.,W.,Lei, Li, L. (2.010), Using AHP and TOPSIS Approaches in Nuclear Power Plant Equipment Supplier Selection, Key engineering Materials, Vols. 414-420 Yoo, K.E.,and Choi, Y.C.,(2006). Analytic Hierarchy Process Approach For Identifying Relative Importance Of Factors To Improve Passenger Security Checks At Airports, Journal of Air Transport Management 12, 135–142
  • Yoon, K. (1980). Systems selection by multiple attributes decision making . PhD Dissertation, Kansas State University, Manhattan, Kansas
There are 51 citations in total.

Details

Journal Section Articles
Authors

Emrah Onder This is me

Sundus Dag This is me

Publication Date June 1, 2013
Published in Issue Year 2013 Volume: 2 Issue: 2

Cite

APA Onder, E., & Dag, S. (2013). Combining Analytical Hierarchy Process and Topsis Approaches for Supplier Selection in a Cable Company. Journal of Business Economics and Finance, 2(2), 56-74.

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