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An Evaluation Framework to Ensure the Quality of the Conceptual Models of Business Processes in a Biodiesel Plant.

Authors :
Debnath, Narayan
Salgadot, Carlos
Peraltat, Mario
Riescot, Daniel
Baigorriat, Lorena
Montejanot, German
Source :
International Journal for Computers & Their Applications; Sep2023, Vol. 30 Issue 3, p247-258, 12p
Publication Year :
2023

Abstract

The objective of this work is to make a proposal to improve the quality of business processes in a biodiesel plant. As a first approximation, the analysis, and studies of the conceptual models of business processes that the company had were carried out, with the aim of being able to have a panoramic view of the current situation of the organization. A framework was applied to measure the quality of business process models, which provides a set of metrics and indicators to carry out said measurement. The objective of the frameworks is providing the organizations a means to help them to maintain objective and accurate information about the maintainability, understandability, comprehensibility, coupling and cohesion of the models, facilitating the evolution of the Business Processes of the companies involved in continuous improvement. It provides support to the management ofBPs by facilitating early evaluation of certain quality properties of their models. The organizations benefit in two ways: (i) guaranteeing the understanding and dissemination of the BPs and their evolution without affecting their execution, (ii) reducing the effort necessary to change the models, this reduces the maintenance and improvement efforts. This framework is made up of two evaluation methods that face the same problem from two different approaches. One approach refers to the numerical and the other is closer to linguistic expressions similar to everyday language. Both methods provide important results to different areas of the business, giving the framework an added value when analyzing the BP conceptual models, since it allows organizations to choose the way to evaluate the models according to the characteristics that are desired to analyze the business models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10765204
Volume :
30
Issue :
3
Database :
Complementary Index
Journal :
International Journal for Computers & Their Applications
Publication Type :
Academic Journal
Accession number :
173480292