Decision point
| Decision point |
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| See also |
Decision point during complex process process or project management contains a clear and measurable reference to specific criteria, principles on the basis of which management decides whether to continue or cease financing of a given innovation or investment project. The decision is made on the basis of specifications, specific conditions, requirements analysis and other criteria with which the results of the previous stage of the process or project are compared. Decision points are also referred to as milestones in planning and project management. Synonym for decision point analysis is the extraction of decisions. Its main task is to detect links between information that is related to the whole matter. This information is carefully analyzed and related to the properties. The use of the decision-making point is associated with learning about the model in which the decision will be made. The model consists of appropriate processes that are divided into "branches" [1]. By analyzing decision points, we can get knowledge about decision rules. One of the methods that presents the course of the decision process in a very transparent, graphical way. This solution is particularly useful when the decision-making process is accompanied by a huge risk and there are many options to get the situation going [2].
Starting the decision point
The decision-making point is launched in several stages. First, the use of an appropriate exploration algorithm to build an appropriate process model. The second step is a schematic presentation of the events that took place. The next phase is making a decision, that is, summarizing the information collected and conclusions On this basis, you can not find an answer to the question, what is the detailed information about them. Construction and in-depth analysis of the model. Making the initial decision, just the final decision. Achieving the goal by implementing it for action. The steps of the decision point consist of appropriate phases. Gathering information and getting to know the whole problem situation, seeing the problem, which is very crucial, because it depends on the further decision-making process. Construction and in-depth analysis of the model. Making the initial decision, making a final decision. Achieving the goal by implementing it for action [3].
The decision point is an educational problem
When we find a decision point in the process we are looking at, then what situations affect decisions. Various types of techniques that we use or teach are conducive to learning new structural patterns. There are many learning algorithms that rely on learning a given concept, not practice. You can distinguish various types of tables or attribute values. When we use decisive points to make a decision after analyzing them, we gain knowledge about the direction of decision rules [4].
References
- Aalst, W. M. P. & Rozinat, A. (2006). Decision mining in business processes. Beta, Research School for Operations Management and Logistics s.1-10
- Dustdar, S., & Fiadeiro, J. L., & Sheth, A.P. (2006). Business Process Management. Decision Mining in ProM s.1-3
- Johson, A. & Redish, A.D. (2007). Journal of Neuroscience. Neural Ensembles in CA3 Transiently Encode Paths Forward of the Animal at a Decision Point s.1-8
- White, S. A. (2004). Process modeling notations and workflow patterns. Workflow handbook, 2004, 265-294.
Footnotes
Author: Mariola Goc
