Describes an expert system which goes some way towards providing
detailed advice for implementing Just‐in‐Time (JIT) concepts in a
manufacturing environment. Advises managers as to which techniques
should be realized in order to begin implementation of JIT, or to
achieve further improvement if a commitment has already been made to JIT
implementation. Specifically, focuses on small‐to‐medium manufacturing
companies producing high volume discrete components. The advice is based
on an expanded two‐stage process for JIT implementation.
Describes software which provides a tutorial introduction to activity-based costing and highlights the difference between it and conventional cost accounting.
Presents an overview of the field of genetic algorithms, pioneered in the field of natural adaptive systems and simulated in software. They are shown as representing a novel optimization strategy which is receiving much attention. In machine learning they are a component of classifier systems which are able to extract rules from data. The algorithms discussed are based on the principles of population genetics and biology.
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