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Finite Buffer Closed Lines
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We can think of these lines as being like infinite
buffer closed lines, except with additional constraints on the number
of jobs permitted between stations.
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The limit on jobs between stations could be for physical reasons (e.g.,
limited space or restrictions on the time a job can reside there) or logical
reasons (e.g., a kanban system). The logistical consequences of limited
buffers are the same regardless of the reason for their existence.
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If the buffers are sufficiently large such that they virtually never get
full under normal operating conditions, then the behavior of the system
will be essentially that of the infinite
buffer case and hence can be analyzed as such.
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If the buffers do fill up, then the blocking they cause serves to reduce
the throughput for a given inventory level relative to the infinite buffer
case.
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Example:
A line that behaves like a closed finite buffer line.
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Principles: The
underlying science and principle behind these lines.
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Diagnostics: Enter
data for a system and compare performance against an internal benchmark.
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Improvement Strategies:
Explore
options and handles existing for improving an existing line.
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