Periodic arrivals in Process Model - Answers causes entities to arrive at repeating time intervals
Scheduled arrivals in Process Model - Answers A scheduled arrival causes a quantity of entities
to arrive at a storage or activity at set times such as appointments or incoming shipments.
Define "Attributes" in Process Model - Answers values or placeholders associated with
individual entities that may, for example, indicate the entity's size or condition.
may be either values (real or integer) or descriptors (single-word descriptions).
The Binomial - Answers a discrete distribution bounded. Typically, it is used where a single trial
is repeated over and over, such as the tossing of a coin.
Binomail parameters - Answers [0, n]
The Exponential - Answers continuous and is frequently used to represent the time between
random occurrences, such as the time between arrivals at a specific location
Exponential parameters - Answers [E(mean)]
The Normal - Answers frequently used to represent symmetrical data, but suffers from being
unbounded in both directions.
Normal parameters - Answers [N(mean,std)]
The Triangular - Answers a continuous distribution bounded on both sides.
Triangular parameters - Answers [T(min,mode,max)]
The Uniform [U(mean,half range)] - Answers a continuous distribution bounded on both sides.
Uniform parameters - Answers [U(mean,half range)]
The User-Defined - Answers a discrete distribution defined by a probability of obtaining each
value
Capacity process box parameter - Answers the number of entities that can be simultaneously
processed
Input and Output Queue Cap process box parameter - Answers the number of entities that can
wait before (input) or after (output) processing
Time: process time of entities process box parameter - Answers the parameter for "Time" may
be a constant, a variable or a function (such as a sample from a theoretical distribution).
Resources in Process Model - Answers the agents used to perform activities and move entities
, such as service personnel, operators or equipment.
Get and Free Resource in Process Model - Answers allows you to use the resource for the
duration of the activity or move, and once the activity or move is complete, the resource is freed.
Get Resource in Process Model - Answers allows you to get the resource and hold it until you
explicitly free it later using a Free resource connection or FREE statement in Action logic.
Free Resource in Process Model - Answers frees a resource that was previously captured using
the Get resource connection. If you attempt to free a resource that has not been captured, the
Free connection is simply ignored.
Defining Resources using the "General" tab - Answers (a) Name: The name of the resource (e.g.
Worker).
(b) Quantity: The number of units of this resource type (1 - 9999).
(c) Object Type: Allows the type of object to be changed from Resource to something else
Variables in Process Model - Answers placeholders for either values (real or integer) or
descriptors (single-word descriptions). They may be used to describe or track activities and
states in the system such as the number of entities that have completed a particular activity.
How variables work in Process Model - Answers global in nature and can be set, incremented,
decremented, and examined in the Action tab of the properties dialog
How do scatter diagrams assist in finding solutions to quality problems? - Answers A visual
indication of the type of relationship, gain some understanding of the nature of any potential
relationship before conducting regression analysis
What is the importance of "alpha" values in statistical conclusions about whether your products
are acceptable to your customers or not? - Answers Alpha represents producer's risk (Type I
error). It indicates the probability that you will consider a product bad when it really isn't
What is the importance of "beta" values in statistical conclusions about whether your products
are acceptable to your customers or not? - Answers Beta represents consumer's risk (Type II
error). It indicates the probability that you will NOT consider a product bad when it really is. The
lower the beta value, the higher is the POWER that your conclusions are correct with respect to
customer service.
Z distribution - Answers when standard deviation is known, large sample size
T distribution - Answers when standard deviation is unknown, small sample size (<30)
1 sample T-test - Answers Is a statistical parameter different from a value of interest?
2 sample T-test - Answers Are the means of two samples the same?