UPM Institutional Repository

Model development to predict the success of advanced manufacturing implementation


Mohd Yusuff, Rosnah and Kok, Poh Yee and Saberi, Sara (2008) Model development to predict the success of advanced manufacturing implementation. In: 9th Global Congress on Manufacturing and Management (GCMM 2008), 12-14 Nov. 2008, Holiday Inn, Surfers Paradise, Australia. (pp. 566-575).


This quest for lower cost,increase competitiveness, flexibility and quality has forced a large number of manufacturing firms to implement advanced manufacturing technologies in their companies. Though firms have reported the benefits that they have achieved through AMT implementation, many have failed. These failures have been identified by most researches as caused by the lack of fit between technology and organixation.Much of the literature holds that the implementation of AMT must be supported by other 'softer' programs suc as quality leadership,training,worker empowerment and the use of small,cross functional groups in order to be successful. A theoretical based model for the implementation based on certain criteria. The institutionalization, acceptance,routinization and infusion modules of the implementation process have been used to predict the outcomes at each stage using Analytical Hierarchy Process (AHP). The attributes for each module were identified and pair-wise comparisons were made. The model was successfully tried on 4 companies. The model serves as a framework to help companies identify problems and weaknessesin the organization before embarking on AMT implementation. Since this model is in its preliminary stages,further improvements are requireed to capture more of the attributes in each module.

Download File

Full text not available from this repository.

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Subject: Manufacturing systems
Divisions: Faculty of Engineering
Keywords: Advanced manufacturing technology; Analytical hierarchy process; Implementation process
Depositing User: Erni Suraya Abdul Aziz
Date Deposited: 15 Mar 2011 13:29
Last Modified: 26 Jan 2015 04:22
URI: http://psasir.upm.edu.my/id/eprint/10761
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item