Methodological proposal to increase the understanding of a complex system to improve the decision-making process
Journal
Dyna (Spain)
Date Issued
2017-07-01
Author(s)
Grubessich, Tomás
González-Prida, Vicente
Pérès, François
DOI
10.6036/8253
Abstract
This paper deals with the formalization of knowledge of an organization, the structuring of a suitable logic sequence and the processing to achieve the applicability of this knowledge in the practical field for the organization. All this is done through a methodological proposal that allows increasing the organizational knowledge, which is based on the information found in the organization’s computer systems as well as on the knowledge and experience of experts, generating significant synergies.
The motivation to develop this paper comes from the need to align organizational goals with the knowledge of the people and data in information systems related to the field of asset management and maintenance.
This methodological proposal uses a recursive process of knowledge generation, where the iteration of processes and the permanent consultation regarding compliance with the objectives, generate a cyclic process whose results are materialized in a conceptual model that contains qualitative and quantitative information, in order to increase the understanding of the system.
Key Words: Conceptual Model, Transformation of Data into Information, Understanding of Complex Systems.
The motivation to develop this paper comes from the need to align organizational goals with the knowledge of the people and data in information systems related to the field of asset management and maintenance.
This methodological proposal uses a recursive process of knowledge generation, where the iteration of processes and the permanent consultation regarding compliance with the objectives, generate a cyclic process whose results are materialized in a conceptual model that contains qualitative and quantitative information, in order to increase the understanding of the system.
Key Words: Conceptual Model, Transformation of Data into Information, Understanding of Complex Systems.
Subjects
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