Advanced manufacturing technology effectiveness: A review of literature and some issues

Abstract

Advanced manufacturing technology (AMT) provides advantages to manufacturing managers in terms of flexibility, quality, reduced delivery times, and global competitiveness. Although a large number of publications had presented the importance of this technology, only a few had delved into related literature review. Considering the importance of this technology and the recent contributions by various authors, the present paper conducts a more comprehensive review. Literature was reviewed in a way that will help researchers, academicians, and practitioners to take a closer look at the implementation, evaluation, and justification of the AMT. The authors reviewed various papers, proposed a different classification scheme, and identified certain gaps that will provide hints for further research in AMT management.

Keywords

advanced manufacturing technology (AMT) / classification / implementation / justification / evaluation

References

[1] Hirschhorn L. Beyond mechanization: Work and technology in a postindustrial age. Cambridge, Mass: MIT Press, 1984

[2] Choobineh F. Justification of flexible manufacturing systems. Flexible Manufacturing Systems: Current Issues and Models, IIE Press, 1986, 269–281

[3] Kaplan R S. Must CIM be justified by faith alone? Harvard Business Review, 1986, (3): 87–95

[4] Abdel-Kader M G, Dugdale D. Evaluating investments in advanced manufacturing technology: A fuzzy set theory approach. British Accounting Review, 2001, 33(4): 455–489

[5] Zammuto R F, O’Connor E J. Gaining advanced manufacturing technologies’ benefits: the roles of organization design and culture. The Academy of Management Review, 1992, 17(4): 701–728

[6] Small M H, Chen I J. Investment justification of advanced manufacturing technology: An empirical analysis. Journal of Engineering and Technology Management, 1995, 12(1, 2): 27–55

[7] Chuu S J. Selecting the advanced manufacturing technology using fuzzy multiple attributes group decision making with multiple fuzzy information. Computers & Industrial Engineering, 2009, 57(3): 1033–1042

[8] Chan F T S, Chan M H, Lau H, Lp R W L. Investment appraisal technique for advanced manufacturing technology (AMT): A literature review. Integrated Manufacturing Systems, 2001, 12(1): 35–47

[9] Baldwin J, Diverty B. Advanced technology use in Canadian manufacturing establishments. Ottawa, K1A 0T6, 1995

[10] Gunawardana K. Introduction of advanced manufacturing technology: A literature review. Sabaragamuwa University Journal, 2006, 6(1): 116–134

[11] Kotha S, Swamidass P M. Strategy, advanced manufacturing technology and performance: empirical evidence from U.S., manufacturing firms. Journal of Operations Management, 2000, 18(3): 257–277

[12] Percival J. Complementarities in the implementation of advanced manufacturing technologies. The Journal of High Technology Management Research, 2010, 21(2):122–135

[13] Pagell M, Hanfield R D, Barber A E. Effects of operational employee skills on advanced manufacturing technology performance. Production and Operations Management, 2000, 9(3): 222–238

[14] Fulton M, Hon B. Managing advanced manufacturing technology (AMT) implementation in manufacturing SMEs. International Journal of Productivity and Performance Management, 2010, 59(4): 351–371

[15] Voss C A. Implementation: a key issue in manufacturing technology: The need for a field of study. Research Policy, 1988, 17(2): 55–63

[16] SVIOKLA J J. Knowledge workers and radically new technology. Sloan Management Review, 1996, 37(4): 25–40

[17] Dean J W Jr, Susman G I, Porter P S. Technical, economic and political factors in advanced manufacturing technology implementation. Journal of Engineering and Technology Management, 1990, 7(2): 129–144

[18] Dimnik T P, Johnston D A. Manufacturing managers and adoption of advanced manufacturing technology. Omega: International Journal of Management Science, 1993, 21(2): 155–162

[19] Chen I J, Small I J. Implementing advanced manufacturing technology: an integrated planning model. International Journal of Mangement Science, 1994, 22(1): 91–103

[20] Sambasivarao K V, Deshmukh S G. Strategic framework for implementing flexible manufacturing systems in India. International Journal of Operations & Production Management, 1994, 14(4): 50–63

[21] Ramamurthy K. Influence of planning on implementation success of AMT. IEEE Transactions on Engineering Management, 1995, 42(1): 62–73

[22] Udo G J, Ehie I C. Advanced manufacturing technologies: determinants of implementation success. International Journal of Operations & Production Management, 1996, 16(12): 6–26

[23] Small M H, Yasin M M. Advanced manufacturing technology: Implementation policy and performance. Journal of Operations Management, 1997, 15(4): 349–370

[24] Zhao H X, Co H C. Adoption and implementation of advanced manufacturing technology in Singapore. International Journal of Production Economics, 1997, 48(1): 7–19

[25] Frohlich M. How do you successfully adopt an advanced manufacturing technology? European Management Journal, 1998, 16(2): 151–159

[26] Burcher P, Lee G, Sohal A. Lessons for implementing AMT: some case experiences with CNC in Australia, Britain and Canada. International Journal of Operations & Production Management, 1999, 19(5, 6): 515–527

[27] Ghani K A, Jayabalan V. Advanced manufacturing technology and planned organizational change. The Journal of High Technology Management Research, 2000, 11(1): 1–18

[28] Yusuff R M, Yee K P, Hashmi M S J. A preliminary study on the potential use of the analytical hierarchical process (AHP) to predict advanced manufacturing technology (AMT) implementation. Robotics and Computer-Integrated Manufacturing, 2001, 17(5): 421–427

[29] Ghani K A, Jayabalan V, Sugumar M. Impact of advanced manufacturing technology on organizational structure. Journal of High Technology Management Research, 2002, 13(2): 157–175

[30] Burns T, Stalker G M. The management of innovation. London: Tavi Stock, 1961

[31] Small M H, Yasin M M. Advanced manufacturing technology adoption and performance: The role of management information systems departments. Integrated Manufacturing Systems, 2003, 14(5):409–422

[32] Machuca J A D, Diaz M S, Gil M J. Adopting and implementing advanced manufacturing technology: new data on key factors from the aeronautical industry. International Journal of Production Research, 2004, 42(16): 3183–3202

[33] Dangayach G S, Deshmukh S G. Advanced manufacturing technology implementation: evidence from Indian small and medium enterprises (SMEs). Journal of Manufacturing Technology Management, 2005, 16(5): 483–496

[34] Raj T, Shankar R, Suhaib M. A review of some issues and identification of some barriers in the implementation of FMS. International Journal of Flexible Manufacturing Systems, 2007, 19(1): 1–40

[35] Singh R K, Garg S K, Deshmukh S G, Kumar M. Modelling of critical success factors for implementation of AMTs. Journal of Modelling in Management, 2007, 2(3): 232–250

[36] Rahman A. Buyer-supplier relationships in advanced manufacturing technology acquisition and implementation in Malaysia. International Journal of Economics and Management, 2008, 2(1): 95–126

[37] Costa S E, Lima E P. Advanced manufacturing technology adoption: an integrated approach. Journal of Manufacturing Technology Management, 2009, 20(1): 74–96

[38] Raj T, Shankar R, Suhaib M, Khan R A. A graph-theoretic approach to evaluate the intensity of barriers in the implementation of FMSs. International Journal of Services and Operations Management, 2010, 7(1): 24–52

[39] Attaran M. The automated factory: justification and implementation. Business Horizons, 1989, 32(3): 80–86

[40] Meredith J, Hill M M. Justifying new manufacturing systems: a managerial approach. Management Information Systems. 1990, 370–387

[41] Roth A V, Gaimon C, Krajewski L. Optimal acquisition of FMS technology subject to technological progress. Decision Sciences, 1991, 22(2): 308–334

[42] Bromwich M, Bhimani A. Strategic investment appraisal. In: Management Accounting, 1991, 45–48

[43] Slagmulder R, Bruggeman W. Investment justification of flexible manufacturing technologies: inferences from field research. International Journal of Operations & Production Management, 1992, 12(7, 8): 168–186

[44] Garetti S E. Strategy first: A case in FMS justification. Ann Arbor, University of Michigan, 1986, 17–29

[45] Canada J R, Sullivan W G. Persistent pitfalls and applicable approaches for justification of advanced manufacturing systems. Engineering Costs and Production Economics, 1990, 18(3): 247–253

[46] Drury C. Counting the cost of AMT investment. Accountancy, 1990, 105(1160): 134–138

[47] Primose P L. Investment in Manufacturing Technology. London: Chapman and Hall, 1991

[48] Sullivan W G. A new paradigm for engineering economy. The Engineering Economist: A Journal Devoted to the Problems of Capital Investment, 1991, 36(3): 187–200

[49] Meredith J R, Suresh N C. Justification techniques for advanced manufacturing technologies. International Journal of Production Research, 1986, 24(5): 1043–1057

[50] Naik B, Chakravarthy A K. Strategic acquisition of new manufacturing technology: a review and research framework. International Journal of Production Research, 1992, 30(7): 1575–1601

[51] Canada J R, Sullivan W G. Economic and multiattribute evaluation of advanced manufacturing systems. NJ: Prentice Hal, 1989

[52] Datta V, Sambasivarao K V, Kodali R, Deshmukh S G. Multi-attribute decision model using the analytic hierarchy process for the justification of manufacturing systems. International Journal of Production Economics, 1992, 28(2): 227–234

[53] Sambasivarao K V, Deshmukh S G. A decision support system for selection and justification of advanced manufacturing technologies. Production Planning and Control: The Management of Operations, 1997, 8(3): 270–284

[54] Ordoobadi S M, Mulvaney N J. Development of a justification tool for advanced manufacturing technologies: system-wide benefits value analysis. Journal of Engineering and Technology Management, 2001, 18(2): 157–184

[55] Small M H. Justifying investment in advanced manufacturing technology: a portfolio analysis. Industrial Management & Data Systems, 2006, 106(4): 485–508

[56] Chuu S J. Group decision-making model using fuzzy multiple attributes analysis for the evaluation of advanced manufacturing technology. Fuzzy Sets and Systems, 2009, 160(5): 586–602

[57] Pham D T, Yeo S H. A knowledge-based system for robot gripper selection: criteria for choosing grippers and surfaces for gripping. International Journal of Machine Tools & Manufacture, 1988, 28(4): 301–313

[58] Tabucanon M T, Batanov D N, Verma D K. Decision support system for multicriteria machine selection for flexible manufacturing systems. Computers in Industry, 1994, 25(2): 131–143

[59] Khouja M. The use of data envelopment analysis for technology selection. Computers & Industrial Engineering, 1995, 28(1): 123–132

[60] Shang J, Sueyoshi T. A unified framework for the selection of a flexible manufacturing system. European Journal of Operational Research, 1995, 85(2): 297–315

[61] Sarkis J. Evaluating flexible manufacturing systems alternatives using data envelopment analysis. The Engineering Economist|: A Journal Devoted to the Problems of Capital Investment, 1997, 43(1): 25–47

[62] Luong L H, Lee H S. A decision support system for the selection of computer-integrated manufacturing technologies. Robotics and Computer-integrated Manufacturing, 1998, 14(1): 45–53

[63] Mohanty R P, Deshmukh S G. Advanced manufacturing technology selection: a strategic model for learning and evaluation. International Journal of Production Economics, 1998, 55(3): 295–307

[64] Karsak E, Tolga E. Fuzzy Multi-Criteria Decision Making Procedure for Evaluating Advanced Manufacturing System Investments. International Journal of Production Economics, 2001, 69(1): 49–64

[65] Karsak E E, Kuzgunkaya O. A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system. International Journal of Production Economics, 2002, 79(2): 101–111

[66] Chu T C, Lin Y C. A fuzzy TOPSIS method for robot selection. The International Journal of Advanced Manufacturing Technology, 2003, 21(4): 284–290

[67] Bozdağ C E, Kahraman C, Ruan D. Fuzzy group decision making for selection among computer integrated manufacturing systems. Computers in Industry, 2003, 51(1): 13–29

[68] Bhangale P P, Agrawal V P, Saha S K. Attribute based specification, comparison and selection of a robot. Mechanism and Machine Theory, 2004, 39(12): 1345–1366

[69] Yurdakul M. Selection of computer-integrated manufacturing technologies using a combined analysis hierarchy process and goal programming model. Robotics and Computer-integrated Manufacturing, 2004, 20(4): 329–340

[70] Bayazit O. Use of AHP in decision-making for flexible manufacturing systems. Journal of Manufacturing Technology Management, 2005, 16(7): 808–819

[71] Rao V R, Padmanabhan K K. 2006. Selection, identification and comparison of industrial robots using digraph and matrix methods. Robotics and Computer Integrated manufacturing, 2006, 22(4): 373–383

[72] Liu S T. A fuzzy DEA/AR approach to the selection of flexible manufacturing systems. Computers & Industrial Engineering, 2008, 54(1): 66–76

[73] Wang Y M, Chin K S. A new approach for the selection of advanced manufacturing technologies: DEA with double frontiers. International Journal of Production Research, 2009, 47(23): 6663–6679

[74] Kumar R, Garg, R K. Optimal selection of robots by using distance based approach method. Robotics and Computer-Integrated Manufacturing, 2010, 26(5)500–506

[75] Braglia M, Petroni A. Evaluating and selecting investments in industrial robots. International Journal of Production Research, 1999, 37(18): 4157–4178

[76] Karsak E E. Distance-based fuzzy MCDM approach for evaluating flexible manufacturing system alternatives. International Journal of Production Research, 2002, 40(13): 3167–3181

[77] Bowlin W F. Evaluating the efficiency of US air force real-property maintenance activities. Journal of Operation Research, 1987, 38: 127–135

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