Document Type : Original Article

Authors

1 Department of Management, Najafabad Branch, Islamic Azad University, Najafabad, Iran

2 Department of Administrative and Economics Faculty, University of Isfahan, Isfahan, Iran

Abstract

Choosing a proper technology is one of the most important challenges in establishment and expanding of an industrial unit. In the cellulose industry, various technologies can be used and each of them includes advantages and disadvantages. In this case, technology selection is very critical, therefore the cellulose industry is considered as the case study in this research. The ANP method is one of the latest amongst the multi-criteria decision making methods and the technology selection is also a multi-criteria decision making challenge. In the first step of the research, the expert’s opinions are used to detect the alternatives. In the next stage, a model is chosen from the previous. In order to determine the level of dependency of each criterion on the considered industry, criteria are sifted by Shanon Entropy technique. In the next step, another questionnaire is created by means of the current DEMATEL technique, in order to detect the expert’s opinion about interior dependency of different. The last questionnaires are developed for the pairwise comparison between model elements and for comparing the alternatives. Finally, the resulted data are imported to Super Decision software in order to evaluate the alternatives and consequently, the most proper technology is selected.

Keywords

Anand, G. and Kodali, R. (2009). Selection of lean manufacturing systems using the analytic network process: a case study. Journal of Manufacturing Technology Management, 20(2), 258-89. doi: 10.1108/17410380910929655
Arbel, A., & Shapira, Y. (1999). A decision framework for evaluating vacuum pumping technology. Journal of Vacuum Science Technology, 4(2), 387–411. doi: 10.1116/1.573477
Bakos, Y. (1998). The productivity payoff of computers. In D. E. Sichel (Ed.), The computer revolution: An economic perspective.Washington: Brookings Institute Press.
Bayazit, O. (2005). Use of AHP in decision making for flexible manufacturing systems. Journal of Manufacturing Technology Management, 16(7), 808-19. doi: 10.1108/17410380510626204
Berry, M. M., & Taggart, J. H. (1994). Managing technology and innovation: A review. R&D Management, 24(4), 341–353. doi: 10.1111/j.1467-9310.1994.tb00889.x
Cantwell, J. (1992). The internalization of technological activity and its implications for competitiveness. In O. Grandstrand, L. HakanSon, & S. Sjolander (Eds.), Technology Management and International Business: Internationalisation of R&D and Technology. New York: Wiley.
Clark, K. (1989). What strategy can do for technology. Harvard Business Review, 67, 94–98.
Coldrick, S., Longhurst, P., Ivey, P., & Hannis, J. (2005). An R&D options selection model for investment decisions. Technovation, 25(3), 185–193. doi: 10.1016/S0166-4972(03)00099-3
Dussauge, P., Hart, S., & Ramanatsoa, B. (1992). Strategic technology management. New York: Wiley.
Efstathiades, A., Tassou, S. A., Oxinos, G., & Antoniou, A. (2000). Advanced manufacturing technology transfer and implementation in developing countries: The case of the Cypriot manufacturing industry. Technovation, 20(2), 93–102. doi: 10.1016/S0166-4972(99)00100-5
Eraslan, E., & Dağdeviren, M. (2010). A Cognitive Approach for Performance Measurement in Flexible Manufacturing Systems using Cognitive Maps, 2(January).
Erdoğmuş, Ş., Aras, H., & Koç, E. (2006). Evaluation of alternative fuels for residential heating in Turkey using analytic network process (ANP) with group decisionmaking. Renewable and Sustainable Energy Reviews, 10(3), 269–279. doi: 10.1016/j.rser.2004.09.003
Erdoğmuş, Ş., Kapanoglu, M., & Koç, E. (2005). Evaluating high-tech alternatives by using analytic network process with BOCR and multiactors. Evaluation and Program Planning, 28(4), 391–399. doi: 10.1016/j.evalprogplan.2005.07.003
Farooq S. and O'Brien C. (2009). Risk calculations in the manufacturing technology selection process. Journal of Manufacturing Technology Management, 21, 28-49. doi: 10.1108/17410381011011470.
Fontela, E., & Gabus, A. (1976). The DEMATEL observer, DEMATEL 1976 Report. Geneva: Battelle Geneva Research Centre.
Gabus, A., & Fontela, E. (1973). Perceptions of the world problematique: Communication procedure, Communicating with Those Bearing Collective Responsibility (DEMATEL Report No. 1). Geneva: Battelle Geneva Research Centre.
Grant E.  and Gregory M. (1997). Adapting manufacturing processes for international transfer. International Journal of Operations & Production Management, 17(10), 994-1005. doi: 10.1108/01443579710176997
Gregory, M. J. (1995). Technology management: A process approach. Proceedings of the Institution of Mechanical Engineers, 209(5), 347–355. doi: 10.1243/PIME_PROC_1995_209_094_02
Huang, C. C., Chu, P. Y., & Chiang, Y. H. (2008). A fuzzy AHP application in government-sponsored R&D project selection. Omega, 36(6), 1038–1052. doi: 10.1016/j.omega.2006.05.003
Huang, C. Y., Shyu, J. Z., & Tzeng, G. H. (2007). Reconfiguring the innovation policy portfolios for Taiwan’s SIP Mall industry. Technovation, 27(12), 744–765. doi: 10.1016/j.technovation.2007.04.002
Huang, G. Q., & Mak, K. L. (1999). Current practices of engineering change management in UK manufacturing industries. International Journal of Operations and Production Management, 19(1), 21–37. doi: 10.1108/01443579910244205
Jiang Z., Zhang H. and Sutherl J. W. (2011). Development of multi-criteria decision making model for remanufacturing technology portfolio selection. Journal of Cleaner Production, 19(17-18), 1939-1945. doi: 10.1016/j.jclepro.2011.07.010
Khalil, T. M. (2000). Management of technology: The key to competitiveness and wealth creation. New York: McGraw-Hill.
Lamb, M., & Gregory, M. J. (1997). Industrial concerns in technology selection. Paper presented at the meeting of the Portland international conference on management of engineering and technology, Portland, Ore.
Lee, H., Kim, C., Cho, H., & Park, Y. (2009). An ANP-based technology network for identification of core technologies: A case of telecommunication technologies. Expert Systems with Applications, 36(1), 894–908. doi: 10.1016/j.eswa.2007.10.026
Lee, H., Lee, S., & Park, Y. (2009). Selection of technology acquisition mode using the analytic network process. Mathematical and Computer Modelling, 49(5-6), 1274-1282. doi: 10.1016/j.mcm.2008.08.010
Lee, W. S., Tzeng, G. H., Guan, J. L., Chien, K. T., & Huang, J. M. (2009). Combined MCDM techniques for exploring stock selection based on Gordon model. Expert Systems with Applications, 36(3), 6421–6430. doi: 10.1016/j.eswa.2008.07.084
Lee, Y. G., & Song, Y. I. (2007). Selecting the key research areas in nano-technology field using technology cluster analysis: A case study based on national R&D programs in South Korea. Technovation, 27(1–2), 57–64. doi: 10.1016/j.technovation.2006.04.003
Lei, D. T. (2000). Industry evolution and competence development: The imperatives of technological convergence. International Journal of Technology Management, 19(7/8), 699–735.
Lin, C. L., & Tzeng, G. H. (2009). A value-created system of science (technology) park by using DEMATEL. Expert Systems with Applications, 36(6), 9683–9697. doi: j.eswa.2008.11.040
Liou, J. J. H., Yen, L., & Tzeng, G. H. (2008). Building an effective safety management system for airlines. Journal of Air Transport Management, 14(1), 20–26. doi: 10.1016/j.jairtraman.2007.10.002
Liu, S., & Shyu, J. (1997). Strategic planning for technology development with patent analysis. International Journal of Technology Management, 13(5/6), 661–680.
Mahara, H., & Yamaguchi, T. (2010) Entropy balance in distributed reversible Gray-Scott model. Physica, 239, 729-734. doi: 10.1016/j.physd.2010.02.001
McNamara, P., & Baden-Fuller, C. (1999). Lessons from the Celltech Case: Balancing knowledge exploration and exploitation in organisational renewal. British Journal of Management, 10(4), 291–307. doi: 10.1111/1467-8551.00140
Mead, L. and Presley, A. (2002). R&D project selection using the analytic network process. IEEE Transactions on Engineering Management, 49(1), 59-66. doi: 10.1109/17.985748
Meade, L. M., & Sarkis, J. (1999). Analyzing organizational project alternatives for agile manufacturing processes: An analytical network approach. International Journal of Production Research, 37(2), 241–261. doi:10.1080/002075499191751
Morone, J. (1989). Strategic use of technology. California Management Review, 31(4), 91–110.
Niemira, M. P., & Saaty, T. L. (2004). An analytic network process model for financial-crisis forecasting. International Journal of Forecasting, 20, 573–587. doi: 10.1016/j.ijforecast.2003.09.013
Ordoobadi, S. M. (2012). Application of ANP methodology in evaluation of advanced technologies. Journal of Manufacturing Technology Management, 23(2), 229–252. doi: 10.1108/17410381211202214
Phaal, R., Farrukh, C. J. P., & Probert, D. R. (2001). Technology management process assessment: A case study. International Journal of Operations and Production Management, 21(8), 1116–1132. doi: 10.1108/EUM0000000005588
Piipo, P., & Tuominen, M. (1990). Promoting innovation management by decision support systems: Facilitating new products’ relevance to the corporate objectives. In J. Allesch (Ed.), Consulting in innovation: Practice—methods— perspectives. Holland: Elsevier Science Publishers.
Ronde, P. (2003). Delphi analysis of national specificities in selected innovative areas in Germany and France. Technological Forecasting and Social Change, 70(5), 419–448. doi: 10.1016/S0040-1625(02)00305-0
Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
Saaty, T. L. (1996). Decision making with dependence and feedback: Analytic network process. Pittsburgh: RWS Publications.
Shehabuddeen, N., Probert, D., & Phaal, R. (2006). From theory to practice: Challenges in operationalising a technology selection framework. Technovation, 26(3), 324–407. doi: 10.1016/j.technovation.2004.10.017
Shen, Y. C., Lin, G. T. R., & Tzeng, G. H. (2011). Combined DEMATEL techniques with novel MCDM for the organic light emitting diode technology selection. Expert Systems with Applications, 38(3). doi: 10.1016/j.eswa.2010.07.056
Steensma, K. H., & Fairbank, J. F. (1999). Internalizing external technology: A model of governance mode choice and an empirical assessment. The Journal of High Technology Management Research, 10(1), 1–35. doi: 10.1016/S1047-8310(99)80001-7
Tan K. H., Noble J., Sato Y., and Tse Y. K. (2011). A marginal analysis guided technology evaluation and selection. International Journal of Production Economics, 131, 15-21. doi:  10.1016/j.ijpe.2010.09.027
Tonge, R., Larsen, P. and Roberts, M. (2000). Information systems investment within high-growth medium-sized enterprises. Management Decision, 38(7), 489-96. doi: 10.1108/00251740010373494
Torkkeli, M., & Tuominen, M. (2002). The contribution of technology selection to core competencies. International Journal of Production Economics, 77(3), 271–284. doi: 10.1016/S0925-5273(01)00227-4
Tzeng, G. H., Chiang, C. H., & Li, C. W. (2007). Evaluating intertwined effects in elearning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Applications, 32(4), 1028–1044. doi: 10.1016/j.eswa.2006.02.004
Vujanović, D., Momčilović, V., Bojović, N., & Papić, V. (2012). Evaluation of vehicle fleet maintenance management indicators by application of DEMATEL and ANP. Expert Systems with Applications, 39(12), 10552-10563. doi: 10.1016/j.eswa.2012.02.159
Wu, W. W. (2008). Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 35(3), 828–835. doi: 10.1016/j.eswa.2007.07.025
Yap, C., & Souder, W. (1993). A filter system for technology evaluation and selection. Technovation, 13(7), 449–469. doi: 10.1016/j.eswa.2007.07.025
Yu, O. S., Hsu, G. J. Y., & Chen, T. Y. (1998). Introduction to technological management: Technological forecast and planning. Taipei: Wu Nan Publishing Company.