SUPPLIER SELECTION FOR A PUMP MANUFACTURING ORGANIZATION BY HYBRID AHP-TOPSIS TECHNIQUE AND ITS IMPACT ON INVENTORY
In today’s highly competitive market, organized supply chain management strategy is required by any manufacturing organization to ensure success in both a quantitative and qualitative manner. In order to obtain green manufacturing or a Green Supply Chain Management system, the suppliers should play an important role. Green manufacturing has an impact on inventory also. This paper describes the supplier selection model using a hybrid AHP-TOPSIS technique related to a pump manufacturing industry that intends to enhance Green Purchasing of inventory items. Different criteria that have a good impact on inventory and the environment are considered for supplier selection. First, the Analytic Hierarchy Process (AHP) is used to determine the weight of each criterion, and then the TOPSIS algorithm is applied to optimally select the supplier. In this work, the ranking of suppliers has effectively chosen the selection of an appropriate supplier maintaining a green supply chain management (SCM) system.
Afshari, A., Mojahed, M. & Yusuff, R.M. (2010). Simple additive weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology, 1(5), 511-515. URL: ijimt.org/papers/89-M474.pdf
Aouadni, S. & Rebai, A. (2013). Inventory management with supplier selection problem: Supply uncertainty. Proceedings of the International Conference on Modeling, Simulation and Applied Optimization, 10, 1-5. doi: 10.1109/ICMSAO.2013.6552577
Bayazit, O., Karpak, B. & Yagc, A. (2006).A purchasing decision: Selecting a supplier for a construction company. Journal of Systems Science and Systems Engineering, 15(3), 217-231. doi: 10.1007/s11518-006-5009-3
Bhutia, P.W. & Phipon, R. (2012). Application of AHP and TOPSIS method for supplier selection problem. IOSR Journal of Engineering, 2(10), 43-50. URL: www.iosrjen.org/Papers/vol2_issue10%20(part-3)/F021034350.pdf
Chaudhury, A., Mandal, B. & Das, S. (2015). Selection of appropriate fluid delivery technique for grinding titanium grade-1 using the analytic hierarchy process. International Journal of Analytic Hierarchy Process, 7(3), 454-469. doi: http://dx.doi.org/10.13033/ijahp.v7i3.356
Dragincic, J. & Vranesevic, M. (2014). AHP-based group decision making approach to supplier selection of irrigation equipment. International Journal of Water Resources Development: Economic and Legal Aspects, 41(6), 782-791. doi: 10.1134/S0097807814060050
Eleren, A. & Yilmaz, C. (2011). Selection of suppliers by fuzzy TOPSIS model; sample study from Turkey. International Journal of Business and Social Science, 2(22), 189-200.
Ertugrul, I. & Oztas, T. (2014). Business mobile-line selection in Turkey by using fuzzy TOPSIS, one of the multi-criteria decision methods. Second International Conference on Information Technology and Quantitative Management, 31, 40-47. doi:10.1016/j.procs.2014.05.243
Fontana, M.E. & Cavalcante, C.A.V. (2014). Use of PROMETHEE method to determine the best alternative for warehouse storage location assignment. International Journal of Advanced Manufacturing Technology, 70(9), 1615-1624. doi: 10.1007/s00170-013-5405-z
Fallahpour, A., Olugu, E.U. & Musa, S.N. (2015). A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP). International Journal of Neural Computing and Application, 10, 1-6. URL: link.springer.com/content/pdf/10.1007%2Fs00521-015-2078-6.pdf
Galankashi, M.R., Chegeni, A., Soleimanynanadegany, A., Memari, A., Anjomshoae, A., Helmi, S.A. & Dargi, A. (2015). Prioritizing green supplier selection criteria using fuzzy analytical network process. Procedia of Global Conference on Sustainable Manufacturing, 26, 689–694. doi: 10.1016/j.procir.2014.07.044
Ghosh, D.N. (2011). Analytic Hierarchy Process & TOPSIS method to evaluate faculty performance in engineering education. Universal Journal of Applied Computer Science and Technology, 1, 63-70. URL: www.ijesit.com/Volume%203/Issue%201/IJESIT201401_02.pdf
Huang, W. & Huang, Y.Y. (2012). Research on the performance evaluation of Chongqing electric power supply bureaus based on TOPSIS. Energy Procedia, 14, 899-905. doi: 10.1016/j.egypro.2011.12.1030
Jingfei, Y., Wang, L. & Gong, X. (2013). Study on the status evaluation of urban road intersections traffic congestion based on AHP-TOPSIS modal. Proceedings of 13th COTA International Conference of Transportation Professionals, 96, 609-616. doi: 10.1016/j.sbspro.2013.08.071
Kahraman, C., Cebeci, U. &Ulukan, Z. (2003). Multi‐criteria supplier selection using fuzzy AHP. Journal of Logistics Information Management, 16(6), 382–394.
Lee, A.H. I., Kang, H., Hsu, C. & Hung, H. (2009). A green supplier selection model for high-tech industry. International Journal of Expert Systems with Applications, 36, 7917–7927. doi: 10.1016/j.eswa.2008.11.052
Lei, D.X., Kumar, D.T., Shankar, M., Kannan, D. & Chen, G. (2013). Analyzing criteria and sub-criteria for the corporate social responsibility-based supplier selection process using AHP. International Journal of Advanced Manufacturing Technology, 68(1), 907-916. doi: 10.1007/s00170-013-4952-7
Mansor, M.R., Sapuna, S.M., Zainudin, E.S., Nuraini, A.A. & Hambali, A. (2014). Application of integral AHP-TOPSIS method in hybrid natural fiber composites materials selection for automotive parking brake lever component. Australian Journal of Basic and Applied Sciences, 8(5), 431-439. URL: www.ajbasweb.com/old/ajbas/2014/Special%202/431-439.pdf
Marinovic, J.S., Petkovic, M.D. & Stanimirovic, I.P. (2015). Application of the ELECTRE method to planetary gear train optimization. Journal of Mechanical Science and Technology, 29(2), 647-654. doi: 10.1007/s12206-015-0124-z
Organ, A. (2013). Practice over the private teaching institutions selection problem in one of secondary schools with using multiple attribute decision making method of TOPSIS. Proceedings of the Second Cyprus International Conference on Educational Research, 89, 489-495. doi: 10.1016/j.sbspro.2013.08.882
Saaty, T.L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234-281. doi: 10.1016/0022-2496(77)90033-5
Saaty, T.L. (1990). Decision making by the analytic hierarchy process: Theory and applications. European Journal of Operational Research, 48, 9-26. URL: www.colorado.edu/geography/leyk/geog_5113/.../saaty_2008.pdf
Saaty, T.L. (2002). Decision making with analytic hierarchy process. Scientia Iranica, 9, 215-229. URL: www.colorado.edu/geography/leyk/geog_5113/.../saaty_2008.pdf
Sabiruddin, K., Bhattachariya, S. & Das, S. (2013). Selection of appropriate process parameters for gas metal arc welding of medium carbon steel specimen. International Journal of Analytic Hierarchy Process, 5, 252-267. http://dx.doi.org/10.13033/ijahp.v5i2.184
Shahroudi, K. & Tonekaboni, S.M.S.(2012). Application of TOPSIS method to supplier selection in Iran auto supply chain. Journal of Global Strategic Management, 12, 123-131. doi: 10.20460/JGSM.2012615779
Sharma, B. & Jayaswal, P. (2015). Supplier selection in manufacturing industry using TOPSIS method. International Journal of Research in Engineering and Applied Sciences, 5(12), 62-66.
Tahriri, F., Osman, M.R., Ali, A., Yusuff, R. M. & Esfandiary, A. (2008). AHP approach for supplier evaluation and selection in a steel manufacturing company. Journal of Industrial Engineering and Management, 1(2), 54-76. doi: http://dx.doi.org/10.3926/jiem..v1n2.p54-76
UmaDevi, K., Elango, C. & Rajesh, R. (2012). Vendor selection using AHP. Proceedings of the International Conference on Modeling Optimization and Computing, 38, 1946-1949. doi: 10.1016/j.proeng.2012.06.237
Wang, T. & Xin, B.C. (2011). Thermal power plant sitting based on TOPSIS method. Procedia of Advances in Control Engineering and Information Science, 15, 5384–5388. doi: 10.1016/j.proeng.2011.08.998
Zhu, X., Wang, F., Liang, C., Lia, J. & Sun, X. (2012). Quality credit evaluation based on TOPSIS: evidence from air-conditioning market in China. Proceedings of theInternational Conference on Computational Science, 9, 1256-1262. doi: 10.1016/j.procs.2012.04.137