Autonomous Event Management Systems based on Software Agents

LORENA BEARZOTTI,; ENRIQUE SALOMONE; OMAR CHIOTTI,

La Paz

Congreso; XXIX Conferencia Latinoamericana de Informática CLEI; 2003

<!-- /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-parent:""; margin-top:0in; margin-right:0in; margin-bottom:6.0pt; margin-left:0in; text-align:justify; mso-pagination:widow-orphan; mso-layout-grid-align:none; punctuation-wrap:simple; text-autospace:none; font-size:11.0pt; mso-bidi-font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-font-family:"Times New Roman"; mso-fareast-language:ES;} @page Section1 {size:8.5in 11.0in; margin:1.0in 1.25in 1.0in 1.25in; mso-header-margin:.5in; mso-footer-margin:.5in; mso-paper-source:0;} div.Section1 {page:Section1;} --> Event management is a complex problem that begins with the capture of any relevant unexpected event, followed by an analysis of this event to assess whether it produces an exception in the execution leading to a present or future deviation from the plan. If an exception is detected, the decision-maker has to evaluate if the safety margins of the plan can mitigate the effect of this exception and then to define the control actions to be carried out. If the effect of this exception cannot be satisfactory mitigated, the decision-maker has to re-plan the process. In this work we describe an approach to systematically support the management of events during the execution of a plan. Based on this approach we are developing a framework that can be used to implement software applications to support the event management for specific domains. We describe the events management problem, our approach, an application example and the architecture of a multi-agent system designed to support the supply chain events management.