7. Decision Levels
1. Strategic decisions (the highest level)
• Concerns general direction, long term
goals, philosophies and values.
• Least structured and most imaginative;
• Most risky and of the most uncertain
outcome, partly because they reach so far
into the future and partly because they are
of such importance.
Dr.Ahmed-Refat 20157
8. Decision Levels
• 2. Tactical D.
• Tactical decisions support
strategic decisions.
• They tend to be medium range,
medium significance,
• with moderate consequences.
Dr.Ahmed-Refat 20158
9. Decision Levels
• 3. Operational.
• Every day decisions,
• used to support tactical decisions.
• Structured.
• Their impact is immediate, short term, and
usually low cost.
• The consequences of a bad operational
decision will be minimal, although a series of bad or sloppy
operational decisions can cause harm..
Dr.Ahmed-Refat 20159
10. All organizations are in a
need for more effective
decision making
at all levels
Dr.Ahmed-Refat 201510
11. Policy & Decision Making
• Logically, policies shape the subsequent plans,
programs and projects that put those policies into
practice.
Policies are at the top of
the decision-making
hierarchy.
• Decision to formulate a policy
• Decision to formulate rules
• Decision to put a specific plan and procedures
11 Dr.Ahmed-Refat 2015
14. Procedures
• A procedure is a series of interrelated
sequential steps that a manager can use for
responding to a structured problem.
• The only real difficulty is in identifying the
problem. Once the problem is clear, so is the
procedure.
• The decision-making process in this case is
merely executing a simple series of sequential
steps.
Dr.Ahmed-Refat 2015
15. Rule
• A rule is an explicit statement that tells
a manager what he/she can or cannot do.
• Managers frequently use rules when they
confront a structured problem because
they are simple to follow and ensure
consistency.
• For example, rules permit supervisors to
make disciplinary decisions rapidly and
with a relatively high degree of fairness
Dr.Ahmed-Refat 2015
16. Policy
• A policy provides guidelines to channel
a manager’s thinking in a specific
direction.
• In contrast to a rule, a policy establishes
parameters for the decision maker rather than
specifically stating what should or should not
be done.
• Policies typically contain an ambiguous term
that leaves interpretation up to the decision
maker
Dr.Ahmed-Refat 2015
18. Decision-Making Models
• Intuitive decision model
• Predisposed decision model
• The ‘garbage-can’ decision model
• Rational Decision Model
Dr.Ahmed-Refat 2015
20. Decision-Making Models
1.Intuitive Decision Model
• The managers who use this approach
avoid statistical analysis and logical
processes.
• These managers rely on their feelings
about a situation.
Dr.Ahmed-Refat 2015
22. Decision-Making Models
2. Predisposed decision model
• A manager who decides on a solution and then
gathers material to support the decision.
• Decision makers using this approach do not
search out all possible alternatives.
• Rather, they identify and evaluate alternatives
only until an acceptable decision is found.
Having found a satisfactory alternative, the
decision maker stops searching for additional
solution
• ‘Rational up-to-a-point’ decision making
•
Dr.Ahmed-Refat 2015
23. 3.The garbage-can symbol
describes the confused, complex and
disordered way in which, at a particular
moment in time, all decision makers are
simultaneously involved in a range of activities
and not just in a single decision-making
process.
• These concurrent activities are all thrown
together in the minds of decision makers, like
in the jumble of a garbage can.
Dr.Ahmed-Refat 2015
Decision-Making Models
24. 3.The garbage-can symbol
In such disordered situations particular
‘problems’ and ‘solutions’ often
become attached to each other
because of their spatial and/or
temporal proximity to each other,
not because of rational choice.
Dr.Ahmed-Refat 2015
Decision-Making Models
25. Rational Decision Making Model
4.Rational decision…later..
making processes consist of
a sequence of steps
designed to rationally develop
a desired solution
from Identification to ImplementationDr.Ahmed-Refat 2015
30. 1.Information
• Data is …..crude information
• Data becomes information, when
it becomes relevant to your
decision problem.
• Knowledge is what we know well.
Dr.Ahmed-Refat 2015
33. Four states of information possession
Not HavingHaving +
Information you
know you don't
have
Information you
know you have
K+
Information you
don't know you
don't have
Information you
don't know you
have
K-
Dr.Ahmed-Refat 201533
34. Processing the Knowledge
The collected information is
evaluated and integrated for
its relevance, validity and
interconnectedness.
Dr.Ahmed-Refat 201534
35. •1- Information
• While substantial information is
desirable, the statement that "the more
information, the better" is not true.
• Too much information can actually
reduce the quality of a decision
Dr.Ahmed-Refat 2015
37. • Many situations require decisions to be
made with incomplete and/or insufficient
information.
• Often management requires quick decision
making, or judgments made under
pressure.
• It is in this context that a more intuitive
approach often develops
37 Dr.Ahmed-Refat 2015
Information needed for Decision
38. 2. Alternatives.
• Potential solution, option or
choice.
• decision analysis provides insight
into how the defined alternatives
differ from one another and then
generates suggestions for new and
improved alternatives
Dr.Ahmed-Refat 2015
39. • 2. Alternatives.
• A… are the possibilities one has to
choose from. A….can be identified
(that is, searched for and located)
or even developed (created where
they did not previously exist).
Merely searching for preexisting
alternatives will result in less effective
decision making.
Dr.Ahmed-Refat 2015
40. 3. Criteria.
These are the characteristics or
requirements that each
alternative must possess to a
greater or lesser extent.
Dr.Ahmed-Refat 2015
49. • Step 4: Developing alternatives—
the fourth step requires the decision maker to
list the viable alternatives that could resolve the
problem. No attempt is made in this step to
evaluate the alternative, only to list them.
Decision Making Process
Dr.Ahmed-Refat 2015
55. Assumptions of Rationality –
–decision maker would:
–be objective and logical
–carefully define a problem
–have a clear and specific goal
–select the alternative that maximizes
the likelihood of achieving the goal
•managerial decision making
seldom meets all these
assumptionsDr.Ahmed-Refat 2015
65. UNCERTAINTY VS VARIABILITY
Uncertainty: A lack of knowledge
about certain factors which can
reduce the confidence in conclusions
drawn from data;
it is opposed to variability which is a
result of true variation in
characteristics of the environment.
Dr.Ahmed-Refat 2015
65
66. ONE PROBLEM WITH DIFFERENT SOLUTIONS
For any given problem, the degree
of certainty varies among managers
depending upon how much
knowledge each one has about the
same problem.
This reflects the recommendation
of a different solution by each
person.
Dr.Ahmed-Refat 2015
66
67. UNCERTAINTY , PROBABILITY & RISK
In very few decision making situations is
perfect information - all the needed facts -
available.
Most decisions are made in the face of
uncertainty.
Probability enters into the process by
playing the role of a substitute for
certainty - a substitute for complete
knowledge.
Dr.Ahmed-Refat 2015
67
68. Probability levels vs Uncertainty state
• Humans can understand, compare, and
manipulate numbers. Therefore, in order to
create a decision analysis model, it is
necessary to create the model structure and
assign probabilities and values to fill the
model for computation. This includes the
values for probabilities, the value functions
for evaluating alternatives, and the risk
preference.
Dr.Ahmed-Refat 201568
69. The Dynamics of a System:
A system that does not change is a static (i.e.,
deterministic)
However, in probabilistic models, the decision-
maker is concerned not only with the outcome
value but also with the amount of risk each
decision carries
Dr.Ahmed-Refat 2015
69
UNCERTAINTY , PROBABILITY & RISK
70. UNCERTAINTY
Risk.. outcomes for a given event which can be
assigned probabilities..……some historical data .
UNCERTAINTY : the outcomes of given
event which are too unsure to be
assigned probabilities
Uncertainty exists when the decision maker has
no historical data from which to develop a
probability distribution and must make intelligent
guesses in order to develop a subjective
probability distribution
Dr.Ahmed-Refat 2015
70
71. CONTINUUM OF PURE UNCERTAINTY AND
CERTAINTY
This depends upon the degree of knowledge
we have about the outcome of our actions
Dr.Ahmed-Refat 2015
71
72. UNCERTAINTY & PROBABILITY
Probability is an instrument used to
measure the likelihood of occurrence
for an event.
By using probability to express
uncertainty, the deterministic side
has a probability of 1 (or zero), while
the other end has a flat (all equally
probable) probability.
Dr.Ahmed-Refat 2015
72
74. . USEFUL INFORMATION MOVES THE
LOCATION OF A PROBLEM FROM THE
PURE UNCERTAIN "POLE" TOWARDS THE
DETERMINISTIC "POLE
Dr.Ahmed-Refat 2015
74
75. DM UNDER UNCERTAINTY
Depending on the amount of knowledge we have,
the three most widely used types of DM are:
1. Decision-making under pure uncertainty
2. Decision-making under risk
3. Decision-making by buying information
(pushing the problem towards the
deterministic "pole")
Dr.Ahmed-Refat 2015
75
78. Decision-Making Styles
• Directive style
• Low tolerance for ambiguity
• Rational in their way of thinking.
• Efficient and logical.
• Make fast decisions and focus on the short
run.
• Making decisions with minimal information
and assessing few alternatives.
Dr.Ahmed-Refat 201578
79. Decision-Making Styles
• Analytic style
• have much greater tolerance for ambiguity
than do directive types.
• They want more information before making a
decision and
• consider more alternatives than a directive
decision maker does.
• Analytic decision makers are characterized as
careful decision makers with the ability to
adapt or cope with unique situations.
Dr.Ahmed-Refat 201579
80. Decision-Making Styles
• Individuals with a conceptual style tend to be
very broad in their outlook and
• look at many alternatives.
• They focus on the long run and
• are very good at finding creative solutions to
problems.
Dr.Ahmed-Refat 201580
81. Decision-Making Styles
• Decision makers with a behavioral style work
well with others.
• They are concerned about the achievements
of those around them and are receptive to
suggestions from others.
• They often use meetings to communicate,
although they try to avoid conflict.
• Acceptance by others is important to this
decision-making style.
•
Dr.Ahmed-Refat 201581
84. The Decision Environment
Every decision is made within a decision
environment, which is defined as the
collection of information, alternatives,
values, and preferences available at the time
of the decision.
An ideal decision environment would
include
all possible information, all of it
accurate, and every possible alternative.
84 Dr.Ahmed-Refat 2015
87. Decision-Making Factors
a) Scientific factors
b) Economic factors
c) Laws and legal decisions
d) Social factors
e) Technological factors
f) Political factors
g) Public values
Dr.Ahmed-Refat 201587
88. Decision-Making Factors
a) Scientific factors
provide the basis for the risk
assessment, including
information drawn from
………………, epidemiology,
ecology, mathematics, etc.
Dr.Ahmed-Refat 201588
90. Decision-Making Factors
c) Laws and legal decisions are
factors that define the basis
for the Agency’s risk
assessments, management
decisions
Dr.Ahmed-Refat 201590
91. Decision-Making Factors
d) Social factors, such as income
level, ethnic background,
community values, land use,
zoning, availability of health
care, life style, and
psychological condition of the
affected populations
Dr.Ahmed-Refat 201591
93. Decision-Making Factors
f) Political factors are based on
the interactions among
branches of the government,
with other, state, and local
government entities, and
even with foreign
governments
Dr.Ahmed-Refat 201593
96. ReferencesCited
• http://www.who.int/heli
• WHO (200) .Decision-Making in Environmental Health From
evidence to action Edited by C. CorvalPn, D. Briggs, and G.
Zielhuis Published y E & FN Spon London .
• Robert Staib (2005 ). Environmental Management and
Decision Making for Business . First published byPALGRAVE
MACMILLAN
• THE GLOBAL DEVELOPMENT RESEARCH CENTER GDRC
.Environmental Decision-Making
• http://www.gdrc.org/decision/edm-documents.html
• http://www.open.edu/openlearn/nature-
environment/introducing-environmental-decision-
making/content-section-0
Dr.Ahmed-Refat 201496