BNAL EXAM 2 QUESTIONS AND VERIFIED ANSWERS
Schedule - Answers - allows you to vary the capacity of a resource over time according
to a fixed pattern.
resource Schedule is defined by - Answers - a sequence of time-dependent resource
capacity changes.
Arena automatically has four Resource States: - Answers - Idle, Busy, Inactive, and
Failed.
For statistical reporting, - Answers - Arena keeps track of the time the resource was in
each of the four states:Idle, Busy, Inactive, and Failed .
resource is said to be Idle if - Answers - no entity has seized it.
As soon as an entity seizes the resource, the state is changed to - Answers - Busy
state will be changed to Inactive if - Answers - Arena has made the resource
unavailable for allocation; this could be accomplished with a Schedule's changing the
capacity to 0.
state will be changed to Failed if - Answers - Arena has placed the resource in the
Failed state, which also implies that it's unavailable for allocation.
When a failure occurs, - Answers - Arena causes the entire resource to become
unavailable.
three options for the Schedule Rule: - Answers - Wait (the default), Ignore, and
Preempt.
Ignore option for the Schedule Rule: - Answers - immediately decreases the resource
capacity, ignoring the fact that the resource is currently allocated to an entity,
Wait option for the Schedule Rule: - Answers - will wait until the in-process entities
release their units of the resource before starting the actual capacity decrease.
Preempt option for the Schedule Rule: - Answers - attempts to preempt the last unit of
the resource seized by taking it away from the controlling entity. If the preempt is
successful and a single unit of capacity is enough, then the capacity reduction starts
immediately. The preempted entity is held internally by Arena until the resource
becomes available, at which time the entity will be reallocated the resource and
continue with its remaining processing time. This provides an accurate way to model
schedules and failures because, in many cases, the processing of a part is sus- pended
, at the end of a shift or when the resource fails. If the preempt is unsuc- cessful or if
more than one unit is needed, then the Ignore rule will be used for any remaining
capacity.
First, if the duration of the scheduled decrease in capacity is very large compared to the
processing time, - Answers - the Ignore option may be an adequate representation.
If the time between capacity decreases is large compared to the duration of the
decrease, - Answers - the Wait option could be considered
Example of Ignore rule - Answers - an operator will finish his task before leaving and
that additional work time is seldom considered.
Frequencies are used to - Answers - record the time-persistent occurrence frequency of
an Arena variable, expression, or resource state.
Frequency statistics are entered using the - Answers - Statistic data module
NQ means - Answers - number in queue
sensitivity analysis - Answers - to measure how important a particular input is to your
output
Probability distributions can be thought of as falling into two main types: - Answers -
theoritical and empirical.
Theoretical distributions - Answers - such as the exponential and gamma, generate
samples based on a mathematical formulation.
Empirical distributions - Answers - simply divide the actual data into groupings and
calculate the proportion of values in each group, possibly interpolating between points
for more accuracy.
Each type of distribution is further broken into - Answers - continuous and discrete
types.
continuous theoretical distributions that Arena supports for use in your model are the -
Answers - exponential, triangular, and Weibull distributions mentioned previously, as
well as the beta, Erlang, gamma, lognormal, uniform, and normal distributions. They
referred to as continuous distributions because they can return any real-valued quantity
The Poisson distribution is a discrete distribution - Answers - it can return only integer-
valued quantities. It's often used to describe the number of events that occur in an
interval of time or the distribution of randomly varying batch sizes.
Schedule - Answers - allows you to vary the capacity of a resource over time according
to a fixed pattern.
resource Schedule is defined by - Answers - a sequence of time-dependent resource
capacity changes.
Arena automatically has four Resource States: - Answers - Idle, Busy, Inactive, and
Failed.
For statistical reporting, - Answers - Arena keeps track of the time the resource was in
each of the four states:Idle, Busy, Inactive, and Failed .
resource is said to be Idle if - Answers - no entity has seized it.
As soon as an entity seizes the resource, the state is changed to - Answers - Busy
state will be changed to Inactive if - Answers - Arena has made the resource
unavailable for allocation; this could be accomplished with a Schedule's changing the
capacity to 0.
state will be changed to Failed if - Answers - Arena has placed the resource in the
Failed state, which also implies that it's unavailable for allocation.
When a failure occurs, - Answers - Arena causes the entire resource to become
unavailable.
three options for the Schedule Rule: - Answers - Wait (the default), Ignore, and
Preempt.
Ignore option for the Schedule Rule: - Answers - immediately decreases the resource
capacity, ignoring the fact that the resource is currently allocated to an entity,
Wait option for the Schedule Rule: - Answers - will wait until the in-process entities
release their units of the resource before starting the actual capacity decrease.
Preempt option for the Schedule Rule: - Answers - attempts to preempt the last unit of
the resource seized by taking it away from the controlling entity. If the preempt is
successful and a single unit of capacity is enough, then the capacity reduction starts
immediately. The preempted entity is held internally by Arena until the resource
becomes available, at which time the entity will be reallocated the resource and
continue with its remaining processing time. This provides an accurate way to model
schedules and failures because, in many cases, the processing of a part is sus- pended
, at the end of a shift or when the resource fails. If the preempt is unsuc- cessful or if
more than one unit is needed, then the Ignore rule will be used for any remaining
capacity.
First, if the duration of the scheduled decrease in capacity is very large compared to the
processing time, - Answers - the Ignore option may be an adequate representation.
If the time between capacity decreases is large compared to the duration of the
decrease, - Answers - the Wait option could be considered
Example of Ignore rule - Answers - an operator will finish his task before leaving and
that additional work time is seldom considered.
Frequencies are used to - Answers - record the time-persistent occurrence frequency of
an Arena variable, expression, or resource state.
Frequency statistics are entered using the - Answers - Statistic data module
NQ means - Answers - number in queue
sensitivity analysis - Answers - to measure how important a particular input is to your
output
Probability distributions can be thought of as falling into two main types: - Answers -
theoritical and empirical.
Theoretical distributions - Answers - such as the exponential and gamma, generate
samples based on a mathematical formulation.
Empirical distributions - Answers - simply divide the actual data into groupings and
calculate the proportion of values in each group, possibly interpolating between points
for more accuracy.
Each type of distribution is further broken into - Answers - continuous and discrete
types.
continuous theoretical distributions that Arena supports for use in your model are the -
Answers - exponential, triangular, and Weibull distributions mentioned previously, as
well as the beta, Erlang, gamma, lognormal, uniform, and normal distributions. They
referred to as continuous distributions because they can return any real-valued quantity
The Poisson distribution is a discrete distribution - Answers - it can return only integer-
valued quantities. It's often used to describe the number of events that occur in an
interval of time or the distribution of randomly varying batch sizes.