Effectiveness evaluation services for small to medium-sized manufacturing enterprise

Norita Ahmad, Robin G. Qiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Small to Medium-Sized Manufacturing Enterprises (SMEs) are considered to be the supplier base for domestic manufacturing in all industrialized nations. The SME has reliably demonstrated the ability to innovate and bring to the market new technologies in manufacturing. As businesses are moving in the direction of globalization, SMEs confront a new challenge in competing in the competitive global market. Therefore, the question investigated in this research is, given the globalization of manufacturing, how can SMEs reposition themselves for competitive advantage? Answer to this question obviously relies on a solid model of evaluating the effectiveness of SMEs' current business practices. An integrated model by combining the Analytical Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) is developed, aimed at linking both qualitative and quantitative factors of multiple manufacturing input/output to accurately assess the operations and performance of SMEs. The analytical results hence can be used to help SMEs better understand the problems and opportunities confronting their operations. This study is validated using the data collection of over 1500 SMEs.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006
Pages1106-1112
Number of pages7
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006 - Shanghai, China
Duration: Jun 21 2006Jun 23 2006

Publication series

Name2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006

Other

Other2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006
Country/TerritoryChina
CityShanghai
Period6/21/066/23/06

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management

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