Application of Expert Systems to productivity measurement in companies/organizations

David J. Sumanth, Mehmet Dedeoglu

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


During the last several years, company-level productivity measurement has become important as companies deal with deregulation, international competition, uncertain economic conditions, and complex technological environments. Various productivity measurement models have been proposed in the literature. One such model is the Total Productivity Model (TPM), developed in 1979. Computer programs have already been developed for this model in FORTRAN and BASIC to be used on various hardware configurations such as PRIME 400, UNIVAC 1100/80, IBM PC XT, and Apple Macintosh. Some earlier papers dealt with these programs in previous conferences for Computers and Industrial Engineering. In this paper, we demonstrate the feasibility of using an Expert System for the TPM to measure productivity of individual operatioonal units of a firm as well as the firm itself as a whole. Such an experience of productivity measurement with an AI/Expert System has been rarely documented in the literature, and hence, is expected to contribute to new knowledge. This paper presents an example of the proposed system and highlights its advantages and limitations. Future scope for research is indicated. The proposed methodology is generic enough for both manufacturing and service-oriented organizations.

Original languageEnglish (US)
Pages (from-to)241-249
Number of pages9
JournalComputers and Industrial Engineering
Issue number3
StatePublished - 1988

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)


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