問題一覧
1
Simplest approach to decision- making
MENTAL MODEL
2
represents the amount by which each goal deviates from its target value
deviational variable
3
lines connecting the nodes; indicate the valid paths, routes, or connection between the nodes in a network flow problem
arcs
4
constraints that represent a target that a decision- maker wants to achieve
soft constraints
5
sometimes helpful to GP to minimize the maximum deviation from any goal
minimax objective
6
NWF problems with each unit that flows from node i to node j incurring some cost, cij.
Minimum cost network flow problems
7
when the lines connecting the nodes in a network flow problem indicate a direction
directed arcs
8
sending nodes
supply nodes
9
All network flow problems can be represented as a
collection of nodes conncected by arcs
10
Set of mathematical relationships and logical assumptions implemented in a computer as a representation of some real-world object, decision problem or phenomenon.
COMPUTER MODELS
11
circles in the network flow model
nodes
12
are variables that are not required to assume strictly integer values
continuous variables
13
use to represent the needed net flow (demand) into a given node
positive number
14
indicates that some (or all) of the variables in the formulation must assume only integer values. We refer to such variables as the integer variables in a problem.
integrality conditions
15
Solution which each goal achieved exactly at the level specified by its target value. All deviational variables in all the goal constraints would equal 0.
ideal solution
16
might use scale models of buildings and bridges to study the strengths of different construction techniques
Civil Engineers
17
one that accurately represents the relevant characteristics of the object or decision problem being studied.
valid model
18
allows us to determine how close a given solution comes to achieving the goal.
goal constraints
19
represents the level of achievement that the decision maker wants to obtain for the goal
target value
20
depending on the approach to prescriptive analytics and the type of problem being addressed
10-20X ROI
21
The objective function value for the optimal solution to the ILP problem can never be better than the objective function value for the optimal solution to its LP relaxation.
bounds
22
Fundamental differences in the types of problems that a manager may face: Values of the independent variables affecting the problem are under the manager's control; sometimes not. Forms of the functional relationships f(.) relating the variables are well-defined, sometimes not.Fundamental differences in the types of problems that a manager may face: Values of the independent variables affecting the problem are under the manager's control; sometimes not. Forms of the functional relationships f(.) relating the variables are well-defined, sometimes not.
formulating a model
23
Field of study that uses computer, statistics, and mathematics to solve business problems. Involves applying the methods and tools of science to management and decision making.
MANAGEMENT SCIENCE
24
Uses mathematical relationships to describe or represent an object or decision problem
mathematical models
25
One of the most effective ways to analyze and evaluate decision alternatives.
ELECTRONIC SPREADSHEETS
26
Assists a driver in analyzing the various routes from one location to another
Roadmap
27
simple set of rules that applies constructing the constraints for minimum cost network flow problems.
Balance-of-flow rules
28
(can both send to and receive from other nodes in the network)
transhipment nodes
29
variables which can assume only two integer values: 0 and 1.
binary integer variables
30
computer model implemented through a spreadsheet.
SPREADSHEET MODELS
31
variables which can assume only two integer values: 0 and 1.
binary integer variables
32
Science of making better decisions” Sometimes referred to as operations research or decision science.
MANAGEMENT SCIENCE
33
Uses optimization to identify the best alternatives to minimize or maximize some business objectives.
prescriptive analytics
34
Arise when a seemingly trivial factor serves as a starting point (or anchor) for estimations in a decision-making problem.
anchoring effects
35
There is a gap or disparity between the present situation and some desired state of affairs. Involves gathering a lot of information and talking with many people; sift through all this information and try to identify the root problem/s Requires insight, some imagination, time, and good bit of detective work.
identifying the problem
36
help to illustrate how the various parts of the structure will fit together when it is completed
Blueprints
37
use to represent the available net flow (supply) out of a node
negative number
38
Determine a solution that achieves all the goals as closely as possible
objective of a gp problem
39
one approach to finding the optimal integer solution in which you relax, or ignore, the integrality conditions and solve the problem as if it were a standard LP problem where all the variables are assumed to be continuous.
relaxation
40
receiving nodes
demand nodes
41
How a decision maker views or perceives the alternatives in a decision problem— often involving a win/loss perspective.
framing effects