Evaluation of advance manufacturing technologies using concord and discord indices

Nowadays, advance manufacturing technologies have become more vital strategic tools for many industries, with the intention of reducing manufacturing response time, improving quality and lowering the costs. In the past few years, there have been major improvements in advanced manufacturing concepts and their utilisation in terms of truly integrated systems. Although the successful implementation of advance manufacturing technologies offers manufacturing organisations numerous benefits, the assessment and preference of these technologies is a very versatile task due to the many parameters involved. In the present study, the multi-attribute decision-making approach is presented to assess and rank the advance manufacturing technologies in practice for a given manufacturing industry in Saudi Arabia. The model presented takes into consideration the objective criterion of the manufacturing industry. The objective here is to help decision makers to ensure that the selected manufacturing technologies comply with the objective of the manufacturing company. The obtained results are compared against existing results.

[1]  A. Subash Babu,et al.  The evaluation of manufacturing systems using concordance and disconcordance properties , 2009 .

[2]  John R. Baldwin,et al.  Growth of Advanced Technology Use in Canadian Manufacturing During the 1990's , 1999 .

[3]  J. D. Couger.  E pluribus computum , 1986 .

[4]  S. G. Deshmukh,et al.  A decision support system for selection and justification of advanced manufacturing technologies , 1997 .

[5]  M. H. Small,et al.  Economic and strategic justification of AMT inferences from industrial practices , 1997 .

[6]  Sharon M. Ordoobadi,et al.  Development of a justification tool for advanced manufacturing technologies: system-wide benefits value analysis , 2001 .

[7]  N. Beaumont,et al.  Do foreign‐owned firms manage advanced manufacturing technology better? , 2002 .

[8]  E. Karsak,et al.  Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments , 2001 .

[9]  Suleiman K. Kassicieh,et al.  Proposed design of a DSS for the justification of advanced manufacturing technologies , 1993 .

[10]  Angappa Gunasekaran,et al.  The design of computer-integrated manufacturing systems , 1994 .

[11]  Cengiz Kahraman,et al.  Fuzzy multiobjective linear-programming-based justification of advanced manufacturing systems , 1996, IEMC 96 Proceedings. International Conference on Engineering and Technology Management. Managing Virtual Enterprises: A Convergence of Communications, Computing, and Energy Technologies.

[12]  Lee H.S. Luong,et al.  A decision support system for the selection of computer-integrated manufacturing technologies , 1998 .

[13]  Navee Chiadamrong.  An integrated fuzzy multi-criteria decision making method for manufacturing strategies , 1999 .

[14]  E. O'Connor,et al.  Gaining Advanced Manufacturing Technologies' Benefits: The Roles of Organization Design and Culture , 1992 .

[15]  Richard J. Fotsch.  Machine tool justification policies: Their effect on productivity and profitability , 1984 .

[16]  T. S. Raghunathan,et al.  Factors Affecting the Adoption of Advanced Manufacturing Technology in Small Firms , 2000 .

[17]  S. G. Deshmukh,et al.  Multi-attribute decision model using the analytic hierarchy process for the justification of manufacturing systems , 1992 .

[18]  Christopher O'Brien,et al.  Decision support tool for justifying alternative manufacturing and production control systems , 1999 .

[19]  M. T. Tabucanon,et al.  Selection of database models for computer integrated manufacturing systems using the Analytic Hierarchy Process , 1997 .

[20]  C. Prahalad.  Managing discontinuities : The emerging challenges , 1998 .

[21]  A. M. A. Al-Ahmari.  Implementing CIM systems in SMEs , 2002 .

[22]  A. Subash Babu,et al.  Evaluation of reconfigured manufacturing systems: an AHP framework , 2009 .

[23]  George Q. Huang,et al.  Wireless manufacturing: a literature review, recent developments, and case studies , 2009 .

[24]  Amiya K. Chakravarty,et al.  Strategic acquisition of new manufacturing technology: a review and research framework , 1992 .

[25]  R. P. Mohanty,et al.  Use of the Analytic Hierarchy Process for Selecting Automated Manufacturing Systems , 1993 .

[26]  Bernard Roy,et al.  Problems and methods with multiple objective functions , 1971, Math. Program..

[27]  S. N. Dwivedi,et al.  Role of customers in the development of innovative process and product , 2002 .

[28]  Fernando Romero,et al.  The social dimension of the integration of manufacturing systems: the role of institutions , 2010, Int. J. Comput. Integr. Manuf..

[29]  B. Roy.  THE OUTRANKING APPROACH AND THE FOUNDATIONS OF ELECTRE METHODS , 1991 .

[30]  B. Cerit,et al.  Strategic technology alignment roadmapping STAR® aligning R&D investments with business needs , 2008, Int. J. Comput. Integr. Manuf..

[31]  J. Sarkis,et al.  Investment justification of advanced manufacturing technology: a review , 2007 .

[32]  M. Chuang,et al.  Production technology selection: Deploying market requirements, competitive and operational strategies, and manufacturing attributes , 2009, Int. J. Comput. Integr. Manuf..

[33]  Shimon Y. Nof,et al.  CIM flexibility measures: A review and a framework for analysis and applicability assessment , 1997 .