Any modern industrial manufacturing unit inevitably faces problems
of vagueness in various aspects such as raw material availability,
human resource availability, processing capability and constraints
and limitations imposed by marketing department. This problem has
to be solved by a methodology which takes care of such fuzzy
information. As the analyst solves this problem, the decision maker
and the implementer have to coordinate with the analyst for taking
up a decision on a successful strategy for implementation. Such a
complex problem of vagueness and uncertainty can be handled by the
theory of fuzzy logic.In this book, a new fuzzy logic based
methodology using a specific membership function, named as modified
S-curve membership function is proposed. The modified S-curve
membership function is first formulated and its flexibility in
taking up vagueness in parameters is established by an analytical
approach.The usefulness of this modified S-curve membership
function is further established using a real life industrial
production planning of a chocolate manufacturing unit.
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