Exam 2 Sec 1 Flashcards

1
Q

resource constraint

A

A functional constraint with a ≤ sign.

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2
Q

benefit constraint

A

A functional constraint with a ≥ sign

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3
Q

fixed-requirement constraint

A

A functional constraint with an = sign.

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4
Q

resource-allocation problem

A

concerned with allocating resources to activities. Its constraint is a resource constraint.

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5
Q

cost-benefit-trade-off problem

A

the trade-off between the total cost of the activities and the benefits to be achieved by these activities. Its constraint is a benefit constraint.

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6
Q

mixed problem

A

Any linear programming problem that includes at least two of the three types of functional constraints (resource, benefit, and fixed-requirement)

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7
Q

transportation problem

A

Involves finding a shipping plan that minimizes the total cost of transporting a product from a number of plants to a number of customers. Constraint is a fixed-requirement constraint

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8
Q

assignment problem

A

Involves assigning people to tasks so as to minimize the total cost of performing these tasks. Constraint is a fixed-requirement constraint

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9
Q

min cost problem

A

at least one supply and demand node.
A feasible solution will exist if total supply matches total demand.
The number of supply nodes can be different from the number of demand nodes.

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10
Q

max cost problem

A

the total shipping capacity of its supply network, which links a single manufacturing plant to a single customer

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11
Q

IE+30

A

infinity

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12
Q

Allowable range

A

Your Objective coefficient minus the Allowable decrease and then the Objective coefficient plus the Allowable increase

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13
Q

Optimal solution

A

how much you’re producing at each one (yellow cell)

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14
Q

100% rule

A

if the sum of the percentage changes does not exceed 100% the original optimal solution definitely will still be optimal

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15
Q

node

A

A junction point of a network, shown as a labeled circle.

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16
Q

supply node

A

A node where the net amount of flow generated (outflow minus inflow) is a fixed positive number.

17
Q

demand node

A

A node where the net amount of flow generated (outflow minus inflow) is a fixed negative number, so that flow is absorbed there.

18
Q

arc

A

A channel through which flow may occur from one node to another, shown as an arrow between the nodes pointing in the direction in which flow is allowed.

19
Q

Transshipment problems

A

the shipments from the sources (supply nodes) to the destinations (demand nodes) might also pass through intermediate transfer points (transshipment nodes) such as distribution centers.

20
Q

transshipment node

A

A node where the amount of flow out equals the amount of flow in.

21
Q

5 types of network optimization problems

A

Assignment, Transportation, Transshipment, max/min flow, shortest path

22
Q

Area graph

A

displays total frequency, group frequency, and time series data?

23
Q

Pie

A

shows the relationship of parts to the whole

24
Q

Oral reports can be delivered in several ways:

A

(1) in a physical venue, (2) via a web-based delivery platform or intranet, or (3) in combination.

25
Q

data visualization

A

the process of developing a research report’s textual, tabular, graphical, and video/audio support materials

26
Q

support materials

A

data visualizations, their interpretations, as well as the stories, audio or video clips, and demonstrations that showcase and validate a research study’s insights and recommendations.

27
Q

The requirements of having a good title

A

concise but at the same time you want to make sure that it clearly identifies the topic of the report

28
Q

Shortest path assumption 1

A

You need to choose a path through the network that starts at the origin and ends at the destination.

29
Q

Shortest path assumption 2

A

The lines connecting certain pairs of nodes commonly are links (which allow travel in either direction), although arcs (which only permit travel in one direction) are also allowed.

30
Q

Shortest path assumption 3

A

Associated with each link (or arc) is a nonnegative number called its length.

31
Q

Shortest path assumption 4

A

The objective is to find the shortest path from the origin to the destination.

32
Q

what if analysis

A

The process of determining the effect of changing objective function coefficients, right-hand side values of constraints, and decision variable values on a linear program