Quantifying the effects of operational performance measures using the analytical network process (ANP)

Khaled M.Gad El Mola, Hamid Parsaei, Herman R. Leep

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

Abstract

In recent years, a number of manufacturing companies started using operational (non-financial) measures to evaluate the company's performance. The traditional financial performance evaluation systems do not provide feedback on the effectiveness of the new manufacturing technologies. Moreover, they are not sufficiently comprehensive to assess efforts to improve competitiveness through these new technologies. Therefore, the main objective of this paper is to present a multi-criteria performance measurement model to quantify the effects of operational performance measures using the analytic network process (ANP). The presented performance model includes the competitive strategy and interdependence between the system criteria and achieves a more realistic and accurate representation of a manufacturing system.

Original languageEnglish
Title of host publication37th International Conference on Computers and Industrial Engineering 2007
Pages332-341
Number of pages10
Volume1
Publication statusPublished - 2007
Externally publishedYes
Event37th International Conference on Computers and Industrial Engineering 2007 - Alexandria, Egypt
Duration: 20 Oct 200723 Oct 2007

Other

Other37th International Conference on Computers and Industrial Engineering 2007
CountryEgypt
CityAlexandria
Period20/10/0723/10/07

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Keywords

  • ANP
  • Competitive strategy
  • Dependencies
  • Operational performance measures
  • Performance measurement

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Industrial and Manufacturing Engineering

Cite this

El Mola, K. M. G., Parsaei, H., & Leep, H. R. (2007). Quantifying the effects of operational performance measures using the analytical network process (ANP). In 37th International Conference on Computers and Industrial Engineering 2007 (Vol. 1, pp. 332-341)