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Supporting production operations decisions with a modularized knowledge base

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Abstract

In expert system applications, it is often necessary to modularize large knowledge bases in such a way that only a subset of the modules is required for a problem. This results in a reduction in the search for appropriate models at each stage. Using the formalism of first order predicate calculus, we develop a modularization scheme of an inventory system which minimizes a pseudo-cost function representing the actual search process.

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Authors and Affiliations

  1. A. B. Freman School of Business, Tulane University, USA

    Amiya K. Chakravarty

  2. Department of Management, College of Business Administration, University of Notre Dame, Notre Dame, USA

    Diptendu Sinha

Authors
  1. Amiya K. Chakravarty
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  2. Diptendu Sinha
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Chakravarty, A.K., Sinha, D. Supporting production operations decisions with a modularized knowledge base. J Intell Manuf 1, 93–103 (1990). https://doi.org/10.1007/BF01472506

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