Plenary Lecture
Some Aspects Regarding Enhanced Risk Management and Marketing Decision-Making Capability in Multi-Agent Systems
Associate Professor Gabriela Tont
Control Systems Engineering and Management Department
Faculty of Electrical Engineering and Information Technology
University of Oradea
Romania
E-mail: gtont@uoradea.ro
Abstract: The expectation and perception of complexity and resilience of systems are changing under the pressures of new business, technological and societal drivers. The systems theory application in marketing involves assumptions setting regarding the behavior of different processes as models which define the interactions between environment and system factors, and, secondly, to identify existing causal dependencies in these interactions. A marketing system model is a simplified representation which describes and conceptualizes the phenomena of real life situations. System models that facilitate understanding of the realities of marketing are useful to organize the information on marketing activities, indicating the strategies and pathways to action. The risk estimation is aligning in the larger framework of solving business and technical issues by adopting solution and decision-making under the simultaneous multi-objective conditions. A shared vision in risk management regarding the stages of risk-based analysis include identification prioritization assess and decomposition of risk.
The paper proposes a comprehensive systematic approach of risk management and marketing decision-making capability in Multi-Agent System under realistic time-dependent conditions, in order to allow an incremental development. Using Bayesian analysis technique expanded to support Probabilistic Risk Assessments, the methodology examines probability consequence scenarios which can emerge as a result of occurrence of multiple events individual events. The case of study, developed in terms of marketing performance validates, analytically and experimentally, the effectiveness of the proposed method for quantifying risk in systems.
Brief Biography of the Speaker: Earning the Ph. D degree in Electrical Engineering at Technical University Cluj Napoca, Gabriela Tonţ has actively carried out research and teaching activities in the areas of reliability engineering, and engineering management, multiple participant-multiple objective decision making, risk analysis, and decision support systems. Her research areas relate to applied statistics and innovative applications of probability in reliability data, statistical control the flow and reception of compliance and the design of reliability identification of structures typical of electrical systems, as part fiabilistic analysis. Using computer-assisted approaches, AMDEC, fault trees, cause-effect diagrams and Markov models she studied the reliability and security of complex systems. She developed models of evaluation of algorithms and computer programs of systems reliability and availability and strategies for preventive and corrective maintenance for complex systems.
Using methods, techniques and tools for non-numerical and numerical for quality assurance and improvement, as certified external quality auditor she has extensive experience in strategies for implementation of Quality systems management in manufacturing processes and quality system improvements with six sigma initiatives, optimizing TQM (zero defects, six sigma), quality planning (QFD).
In the fields above she has authored and co-authored over 190 scientific publications. She is the Technical Program Co-Chair, participates and reviews for WSEAS International Conferences.