Decision support system for the selection of advanced manufacturing technologies
AbstractAdvanced manufacturing technologies require huge capital investments and offer large number of intangible benefits such as flexibility, quality, competitiveness, customer satisfaction etc., which are ill structured in nature and sometimes very difficult to quantify. Here challenge is to incorporate full recognition of advanced manufacturing technologies benefits logically and accurately in justification model. In this paper, comprehensive decision support system approach is proposed to help manufacturing organizations in selecting advance manufacturing technology for investment, which is most suitable to their strategic objectives. In proposed model one can define more realistic value for benefits and sub benefits associated with a particular investment alternative. Proposed decision support system is based on fuzzy logic and assists decision makers of manufacturing firms in making more informed and complete analyses of alternative advanced manufacturing technologies. It opts both quantifiable and non-quantifiable benefit levels and sublevels for advanced manufacturing technologies. For non-quantifiable levels fuzzy linguistic approach is suggested. A case study is presented to test and demonstrate proposed decision support system.
Abdelkader, G. M. & David, D. (2001). Evaluating Investments in Advanced Manufacturing Technology, A Fuzzy Set Theory Approach. British Accounting Review, 33(4).
Amin, Gholam R., Toloo, M. & Sohrabi, B. (2006). An improved MCDM DEA model for technology selection. International Journal of Production Research, 44(13), 2681-2686.
Badiru, Adedeji B., Foote, Bob L. & Chetupuzha, Joseph. (1991). A multiattribute spreadsheet model for manufacturing technology justification. Computers & Industrial Engineering, 21(1–4), 29-33.
Bozda, C. E., Kahraman, C. & Ruan, D. (2003). Fuzzy group decision making for selection among computer integrated manufacturing systems. Computers & Industrial Engineering, 51(1), 13-29.
Chan, F. T. S., Chan, H. K. & Ghan, M. H. (2003). An integrated fuzzy decision support system for multicriterion decision-making problems. Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture, 217(1), 11-27.
Chandran, B., Golden, B. & Edward, W. (2005). Linear programming models for estimating weights in the analytic hierarchy process. Computers & Operations Research, 32(9), 2235-2254.
Chen, I. J. & Small, M. H. (1994). Implementing advanced manufacturing technology, An integrated planning model. Omega, 22(1), 91-103.
Chen, I. J. & Small, M. H. (1996). Planning for advanced manufacturing technology. International Journal of Operations & Production Management, 16(5), 4-24.
Chiadamrong, N. & O'Brien, C. (1999). Decision support tool for justifying alternative manufacturing and production control systems. International Journal of Production Economics, 60–61(0), 177-186.
Chiadamrong, N. (1999). An integrated fuzzy multi-criteria decision making method for manufacturing strategies selection. Computers & Industrial Engineering, 37(1–2), 433-436.
Christensen, C. M. (1997). The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail. Boston, MA, Harvard Business School Press.
Chuu, S. J. (2009). Group decision-making model using fuzzy multiple attributes analysis for the evaluation of advanced manufacturing technology. Fuzzy Sets and Systems, 160(5), 586-602.
Efstathiades, A., Tassou, S. & Antonios, A. (2002). Strategic planning, transfer and implementation of Advanced Manufacturing Technologies (AMT). Development of an integrated process plan. Technovation, 22(4), 201-212.
Evans, L., Lohse, N., Hau, T. K., Phil, W. & Mark, S. (2011). Justification for the selection of manufacturing technologies, a fuzzy-decision-tree-based approach. International Journal of Production Research, 50(23), 6945-6962.
Fotsch, R. J. (1984). Machine tool justification policies, Their effect on productivity and profitability. Journal of Manufacturing Systems, 3(2), 169-195.
Goyal, S. & Grover, S. (2013). Manufacturing system’s effectiveness measurement by using combined approach of ANP and GTMA. International Journal of System Assurance Engineering and Management, 4(4), 404-423.
Hofmann, C. & Orr, S. (2005). Advanced manufacturing technology adoption—the German experience. Technovation, 25(7), 711-724.
Kaplan, R. S. (1986). Must CIM be Justified by Faith Alone? Harvard Business Review, 64(2), 87–95.
Karsak, E. E. & Sebnem Ahiska, S. (2008). Improved common weight MCDM model for technology selection. International Journal of Production Research, 46(24), 6933-6944.
Karsak, E. E. & Tolga, E. (2001). Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments. International Journal of Production Economics, 69(1), 49-64.
Karsak, E. E. (2002). Distance-based fuzzy MCDM approach for evaluating flexible manufacturing system alternatives. International Journal of Production Research, 40(13), 3167-3181.
Kuei, C. H., Lin, C., Aheto, J. & Madu, C. N. (1994). A strategic decision model for the selection of advanced technology. International Journal of Production Research, 32(9), 2117-2130.
Kulak, O. & Kahraman, C. (2005). Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach. International Journal of Production Economics, 95(3), 415-424.
Kumar, V., Murphy, S. A. & Loo, S. C. K. (1996). An investment decision process, the case of advanced manufacturing technologies in Canadian manufacturing firms. International Journal of Production Research, 34(4), 947-958.
Lin, G. C. I. & Nagalingam, S., (2000). CIM Justification and Optimization. London, Taylor & Francis.
Luong, L. H. S. (1998). "A decision support system for the selection of computer-integrated manufacturing technologies." Robotics and Computer-Integrated Manufacturing 14(1): 45-53.
MacDougall, S. L. & Pike, R. H. (2003). Consider your options, changes to strategic value during implementation of advanced manufacturing technology. Omega, 31(1), 1-15.
Maldonado, A., García, J., Alvarado, A. & Balderrama, C. O. (2013). A hierarchical fuzzy axiomatic design methodology for ergonomic compatibility evaluation of advanced manufacturing technology. The International Journal of Advanced Manufacturing Technology, 66(1-4), 171-186.
Maldonado-Macías, A., Alvarado, A., García, J. L. & Balderrama, C. O. (2014). Intuitionistic fuzzy TOPSIS for ergonomic compatibility evaluation of advanced manufacturing technology. The International Journal of Advanced Manufacturing Technology, 70(9-12), 2283-2292.
Marri, H. B., Irani, Z. & Gunasekaran, A. (2007). Advance Manufacturing Technology implementation in SMEs, a framework of justification criteria. International Journal of Electronic Business, 5(2), 124-140.
Meredith, J. R. & Suresh, N. C. (1986). Justification techniques for advanced manufacturing technologies. International Journal of Production Research, 24(5), 1043-1057.
Mohanty, R. P. & Deshmukh, S. G. (1998). Advanced manufacturing technology selection, A strategic model for learning and evaluation. International Journal of Production Economics, 55(3), 295-307.
Mohanty, R. P. & Venkataraman, S. (1993). Use of the Analytic Hierarchy Process for Selecting Automated Manufacturing Systems. International Journal of Operations & Production Management, 13(8), 45-57.
Nagalingam, S. V. & Lin, G. C. I. (1998). A methodology to select optimal system components for computer integrated manufacturing by evaluating synergy. Computer Integrated Manufacturing Systems, 11(3), 217-228.
Naik, B. & Chakravarty, A. K. (1992). Strategic acquisition of new manufacturing technology, a review and research framework. International Journal of Production Research, 30(7), 1575-1601.
Ordoobadi, S. (2009). Evaluation of advanced manufacturing technologies using Taguchi's loss functions. Journal of Manufacturing Technology Management, 20(3), 367-384.
Ordoobadi, S. M. & Mulvaney, N. J. (2001). Development of a justification tool for advanced manufacturing technologies, system-wide benefits value analysis. Journal of Engineering and Technology Management, 18(2), 157-184.
Perego, A. & Rangone, A. (1998). A reference framework for the application of MADM fuzzy techniques to selecting AMTS. International Journal of Production Research, 36(2), 437-458.
Raafat, F. (2002). A comprehensive bibliography on justification of advanced manufacturing systems. International Journal of Production Economics, 79(3), 197-208.
Ramasesh, R. V. & Jayakumar, M. D. (1993). Economic justification of advanced manufacturing technology. Omega, 21(3), 289-306.
Rouse, W. B. (1988). Intelligent decision support for advanced manufacturing systems. Manuf. Rev. 1(4), 236-243.
Sambasivarao, K. V. & Deshmukh, S. G. (1997). A decision support system for selection and justification of advanced manufacturing technologies. Production Planning & Control, 8(3), 270-284.
Singh, H. & Khamba, J. S. (2013). A case study of Indian manufacturing organisation for utilisation of advanced manufacturing technologies. Int. J. of Indian Culture and Business Management, 7(2), 226 - 239.
Small, M. H. & Chen, I. J. (1997). Economic and strategic justification of AMT inferences from industrial practices. International Journal of Production Economics, 49(1), 65-75.
Small, M. H. & Yasin, M. M. (1997). Developing a framework for the effective planning and implementation of advanced manufacturing technology. International Journal of Operations & Production Management, 17(5), 468-489.
Sohal, A. S., Sarros, J., Schroder, R. & O'Neill, P. (2006). Adoption framework for advanced manufacturing technologies. International Journal of Production Research, 44(24), 5225-5246.
Talluri, S. & Paul Yoon, K. (2000). A cone-ratio DEA approach for AMT justification. International Journal of Production Economics, 66(2), 119-129.
Wang, Y.-M. & Chin, K.-S., (2009). A new approach for the selection of advanced manufacturing technologies, DEA with double frontiers. International Journal of Production Research, 47(23), 6663-6679.
Yusuff, R. M., Yee, K. P., et al. (2013). Model development for post-implementation process of advanced manufacturing technology. International Journal of Information and Decision Sciences 5(4), 414-437.
Zhou, H., Keong Leong, G., Jonsson, P. & Chee-Chuong, S. (2009). A comparative study of advanced manufacturing technology and manufacturing infrastructure investments in Singapore and Sweden. International Journal of Production Economics, 120(1), 42-53.