Complementarities between information sources to support the implementation of advanced manufacturing technologies

Author

Percival, J.C.

Author_Institution

Univ. of Ontario Inst. of Technol., Oshawa, ON

fYear

2008

fDate

21-24 Sept. 2008

Firstpage

1319

Lastpage

1324

Abstract

Recently, manufacturers have invested significantly in the implementation of advanced manufacturing technologies (AMT) in an attempt to gain a competitive advantage. The outcomes of these investments have been varied. Yet, the impact of information supports on AMT implementations and the complementarities that exist between such supports have not been determined. This study develops a model of manufacturing plant productivity using complementarity assumptions developed by and . Constrained regression analysis reveals that implementing the appropriate set of information supports results in a significant improvement in the return on the AMT implementation. Demonstrating the practical application of the results, the optimal information support practices are provided for an example plant using a solution lattice from this study.

Keywords

industrial plants; investment; manufacturing systems; productivity; regression analysis; advanced manufacturing technologies; complementarity assumption; constrained regression analysis; information sources; information support; investment; manufacturing plant productivity; Chemical industry; Food industry; Food technology; Industrial control; Industrial electronics; Lattices; Manufacturing industries; Productivity; Silicon carbide; Textile machinery; Advanced Manufacturing Technology; Complementarities; Implementation support; Supermodularity;

fLanguage

English

Publisher

ieee

Conference_Titel

Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on

Conference_Location

Bangkok

Print_ISBN

978-1-4244-2329-3

Electronic_ISBN

978-1-4244-2330-9

Type

conf

DOI

10.1109/ICMIT.2008.4654562

Filename

4654562