Title: Strategic selection of advanced manufacturing technologies (AMT), based on the manufacturing vision

Authors: Sergio E. Gouvea Da Costa, Ken W. Platts, Afonso Fleury

Addresses: Industrial and Systems Engineering Graduate Program, Pontifical Catholic University of Parana, Rua Imaculada Conceicao, 1155, Curitiba/PR 80215-901, Brazil. ' Department of Engineering, Institute for Manufacturing, University of Cambridge, Mill Lane, Cambridge, CB2 1RX, UK. ' Production Engineering Department, University of Sao Paulo, Av. Prof. Almeida Prado, Trav. 2, No. 128, Sao Paulo/SP 05508-900, Brazil

Abstract: Advanced manufacturing technologies (AMT) are perceived by companies to be important factors in the search for competitiveness. However research has shown that a large percentage of adoptions of AMT fail to achieve the expected benefits. One reason for this may be the failure to fully consider the strategic impact of AMT. Although the literature has AMT models and frameworks that include strategic factors, it fails to offer a practical methodology which companies can use in selecting appropriate AMT. This work presents a strategic approach to AMT selection, considering AMT as a resource that will underpin the achieving of a manufacturing vision. The work takes as its base an existing process for developing a manufacturing vision, and enhances it by the incorporation of an AMT selection framework. The framework for the strategic selection of AMT was developed from a literature review followed by field research in the machine-tools sector. The framework was then operationalised through the Cambridge process approach. The framework and related process were refined through individual interviews with seven experts, and two seminars and finally tested in two case studies. The process, based on the AMT selection framework, proved to be feasible, usable and useful.

Keywords: advanced manufacturing technology; AMT selection; manufacturing vision; manufacturing strategy; resource-based view of the firm; Cambridge process approach; machine tools.

DOI: 10.1504/IJCAT.2006.010985

International Journal of Computer Applications in Technology, 2006 Vol.27 No.1, pp.12 - 23

Published online: 26 Sep 2006 *

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