TITLE:
Optimization Management of Industrial Organizations Based on Performance Indicators
AUTHORS:
Anne Marie Chana, Bernabé Batchakui, Blaise Ndangang
KEYWORDS:
Performance Indicator, Intelligent Agent, Data Mining, Intelligent Management System, Enterprise Management
JOURNAL NAME:
World Journal of Engineering and Technology,
Vol.12 No.1,
February
23,
2024
ABSTRACT: This paper proposes an intelligent management system (IMS) to help
managers in their delicate and tedious task of exploiting the plethora of data
(indicators) contained in management dashboards. This system is based on
intelligent agents, ontologies and data mining. It is implemented by PASSI
(Process for Agent Societies Specification and Implementation) methods for
agent design and implementation, the Methodology for Knowledge Modeling and
Hot-Winters for data prediction. Intelligent agents not only track indicators but
also store the knowledge of managers within the company. Ontologies are used to
manage the representation and presentation aspects of knowledge. Data mining
makes it possible to: make the most of all available data; model the industrial
process of data selection, exploration and modeling; and transform behaviors
into predictive indicators. An instance of the IMS named SYGISS, currently in
operation within a large brewery organization, allows us to observe very
interesting results: the extraction of indicators is done in less than 5
minutes whereas manual extraction used to take 14 days; the generation of
dashboards is instantaneous whereas it used to take 12 hours; the
interpretation of indicators is instantaneous whereas it used to take a day;
forecasts are possible and are done in less than 5 minutes whereas they did not
exist with the old management. These important contributions help to optimize
the management of this organization.