Terms for midterms Flashcards

1
Q

Use for problems involving the
allocation of resources to obtain
optimal effectiveness.

A

Allocation Model

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2
Q

Mathematical programming is **the
broad term for tools that are used to
solve problems **in which the
decision-makers must allocate
limited resources among various
activities to optimize a managerial
objective. These tools include linear
programming and distribution model

A

Allocation Model

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3
Q

refers to the property of having a
random probability distribution
that
can be statistically analyzed but may
not be predicted accurately.

A

Stochastic Method (Probabilistic Model)

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4
Q

are costs such as** rent, salaries,
advertising, and other overhead
costs** that remain the same no
matter how much of the product is
manufactured or sold.

A

Fixed Cost

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5
Q

The s**implex method **which was
developed by **George B. Dantzig **
together with US Department of the
Airforce, is an iterative technique for
solving more unknown variables that
are geometrically difficult to plot in
the graph.

A

Albert Dantzig

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6
Q

The consequences of
each alternative course of action
can
be found at the intersection of a
given alternative and the
corresponding state of nature.

A

Payoffs

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7
Q

presented at the top of the table are
the possible “—– – —–” or
called **events. **

A

State of Nature

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8
Q

the problem as s1 s2 s3. —- — —- can also be presented as
rows.

A

State of Nature

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9
Q

are given in
percentage and are usually placed
at the top of the table
. The
assumption is that only one of the
given states of nature will happen n
the future. The sum of the
probabilities must be equal to 1.

A

Probabilities

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10
Q

The most common approach to
solve decision-making—— is
the expected payoff criterion.

A

Decision Under Risk

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11
Q

The decision-maker must select the
alternative with the —– ——
payoff.

A

The decision-maker must select the
alternative with the **highest expected **
payoff.

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12
Q

The decision maker —- —-
situation, also called **“deterministic”
situation. **

A

Under Certainty

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13
Q

The decision-maker** know with
certainty the consequence **of every
alternative or decision choice.

A

Under Certainty

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14
Q

It is a perfect** predictor of the future **
because of the availability of
complete information, naturally they
will choose the alternative that has
the best result.

A

Under certainty

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15
Q

the** decision-maker in this
situation can not estimate or does
not have knowledge** of the
probability of occurrence of possible
states of nature.

A

Under Uncertainty

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16
Q

However, the situation should not be
considered “——” since
the states of nature are known.

A

Total ignorance

17
Q

Also called **Probabilistic or
Stochastic decision situations. **

A

Under Risk

18
Q

is presented
with several options with a
corresponding probability of
occurrence.

A

Under Risk

19
Q
  • In this criterion, the decision-maker assumes that all states of nature
    have equal probabilities to occur.
  • Then the highest expected payoff is
    selected.
  • To compute for the expected payoffs,
    the probabilities of 1 3 will be applied
    to each of the 3 states of nature.
A

Laplace (Equal Likelihood)

20
Q
  • most suitable
    for decision-makers who are neither
    completely pessimistic nor
    optimistic.
  • To select the best alternative, the
    decision-maker will be using the
    degree of optimism called “alpha, a” which is measured on a 0 to 1 scale
    (where 0 = completely pessimistic
    and 1 = completely optimistic).
  • The best alternative is the one with the highest weighted value (WV) for
    maximization problems.
  • The main difficulty of using this
    criterion is the measurement of
    alpha
A

Hurwicz (The Criterion of Realism)

21
Q
  • is based on the concept of
    Opportunity Lost, which
    means an opportunity loss is
    incurred whenever the
    decision overlooks the best
    alternative.
  • Choosing the alternative with
    the minimum of all maximum
    regrets.
  • Regret = Opportunity Lost – Payoff Received
    o This is done without the
    probabilities.
A

Regret

22
Q

**requirements or restrictions placed **
on the firm by the operating
environment, stated in linear
relationships of the decision
variables.

A

Constraints

23
Q

A variable added to the LHS of “Less
than or equal to
” constraint to
convert it into an equality.

A

Slack Variables

24
Q

A** table which is used to keep track
of the calculations **made at each
iteration when the simplex method is
employed.

A

Simplex Tableau

25
Q

The **row corresponding to variable **
that will leave the table in order to
make room for another variable. It
contains the lowest quotient.

A

Pivotal Row

26
Q

**Element at the intersection **of pivotal
row and pivotal column.

A

Pivot

27
Q

Any basic feasible solution which
optimizes (maximizes or minimizes)
the objective function.

A

Optimal Solution

28
Q

is appropriate for small problems
dealing with 2 decision variables
and
with few constraints.

A

Graphical Method