Non Programmed Decision Making Theory

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Decision making theory

PREVIEW
Decision making is the core of the planning phase. Decision making is an essential process of identifying the problems and resolving them. This report will presents information on decision making and how it relates to the first management function of planning. Also, there are two types of decision; programmed and non-programmed. A programmed decision is structured decision made in response to a situation that has occurred often enough or repetitive, non-programmed decision is poorly defined and mostly unstructured. Different types of decisions are classified under conditions of certainty; using linear programming; risk, or uncertainty depending on which the future environment determining the outcomes of these
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Implementation of the selected alternative

This stage in the decision making process is the ability to translate the chosen alternative into an action in the real world.

Evaluation of results and feedback

Finally, this stage is the final step in decision making process that tell how well the decision was implemented and did it was effective in achieving the desired goals. Also, feedback is so important because it is the part of monitoring that assess whether a new decision must be made.

Vision

This process is not mentioned in the seven steps of the decision making process, it an additive stage or preferable stage; which is the ability of the manager and the organization leaders to engage imaginations in such a way as to develop and serve the desired goal with a sense of creativity to future desired level that will be the next goal of the achieved present goal.

Decision making
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"Simulated model"
2-judgement and experience.

Defiantly, the most desired model is the mathematical model, which we will discuss its structure phase and role.

Mathematical modeling in decision making process

The aim of this work is to represent the most important characteristics of human behavior in the decision making process.
All mathematical models consists of some main components which are:
# Decision Variables: A mathematical symbols representing levels of the activity.

# Objective function: A mathematical expression that describes the problem 's aim either or minimizing.

# Constraints: A set of restrictions or limitations placed by the environment.

# Parameters: A numerical coefficients and constants used in the objective function.

Also, there are two types of mathematical models, those are:
1-Determinstic Model: Is as model with all uncontrollable inputs are known and there is no chance of

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