Week5 - Module 4: Placeholder Flashcards

1
Q

Order the following Simulation Study Steps:

  • Objectives and Planning
  • Data Collection
  • Coding
  • Model Validation
  • Model Verification
  • Problem Formulation
  • Run Experiements
  • Model Building
  • Output Analysis
  • Experimental Design
A

Order the following Simulation Study Steps:

  1. Problem Formulation
  2. Objectives and Planning
  3. Model Building
  4. Data Collection
  5. Coding
  6. Model Verification
  7. Model Validation
  8. Experimental Design
  9. Run Experiements
  10. Output Analysis
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2
Q

Definition:

A Collection of entities (people, machines, etc.) that interact together to accomplish a goal.

A

A system

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3
Q

Definition:

An abstract representation of a system, usually containing math/logical relationship describing the system in terms of states, entities, sets, events, etc

A

A model

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4
Q

Definition:

A set of variables that contains enough information to describe the system.

A

System State:

A set of variables that contains enough information to describe the system. Think of the state as a “snapshot” of the system.

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5
Q

________ can be permanent (like a
machine) or temporary (e.g.,
customers), and can have various
properties or _________ (e.g., priority of
a customer or average speed of a
server).

A

Entities can be permanent (like a
machine) or temporary (e.g.,
customers), and can have various
properties or attributes (e.g., priority of
a customer or average speed of a
server).

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6
Q

A ____ (or queue) is an ordered list of
associated entities (for instance, a
linked list, or a line of people).

A

A list (or queue) is an ordered list of
associated entities (for instance, a
linked list, or a line of people).

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7
Q

An _____ is a point in time at which the system state changes (and which can’t be predicted with certainty beforehand).

A

An event is a point in time at which the system state changes (and which can’t be predicted with certainty beforehand).

Examples: an arrival event, a
departure event, a machine
breakdown event.

“Event” technically means the time
that a thing happens, but loosely
refers to “what” happens (an
arrival).

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8
Q

Definition:

A duration of time of specified length (aka an
unconditional wait).

A
An **activity** is a duration of time of
specified length (aka an unconditional wait).

Examples include:

  • exponential customer interarrival times
  • constant service times

We can explicitly generate those
events, so they are “specified”.

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9
Q

A __________ _____ is a duration of
time of unspecified length.

E.g., a customer waiting time — we
don’t know that directly. In fact, we
just know arrival and service times
and will use those to reverse-
engineer the waiting times.

A

A conditional wait is a duration of
time of unspecified length.

E.g., a customer waiting time — we
don’t know that directly. In fact, we
just know arrival and service times
and will use those to reverse-
engineer the waiting times.

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10
Q

The _________ _____ is a variable
whose value represents simulated
time (which doesn’t equal real time).

A

The simulation clock is a variable
whose value represents simulated
time (which doesn’t equal real time).

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11
Q

Time-Advance Mechanisms = how the clock moves

Name two Ways:

A

The simulation clock always moves forward (never goes back in time).

Two ways:

  • Fixed-Increment Time Advance
  • Next-Event Time Advance
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12
Q

The clock is initialized at 0. All known future event times are determined and placed in the future events list (FEL), ordered by time.

A

Next-Event Time Advance: The clock is initialized at 0. All known future event times are determined and placed in the future events list (FEL), ordered by time.

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13
Q

Any time there’s an event, the simulation may update the
chronological order of the FEL’s events. Name 4 events.

A

Any time there’s an event, the simulation may update the
chronological order of the FEL’s events. Name 4 events.

  • inserting new events,
  • deleting events,
  • moving them around, or
  • doing nothing.
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14
Q
A
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