Conflicts Management in Retail Systems with Self-Regulation
Self-Regulation and retail problem solving using Multi-Agent Systems are considered two promising areas but relatively little explored. The regulation in these environments must be able to handle with the implicit dynamism and variation in a complex area
- PDF / 376,579 Bytes
- 11 Pages / 439.37 x 666.142 pts Page_size
- 101 Downloads / 163 Views
Conflicts Management in Retail Systems with Self-Regulation Bruno Magalha˜es and Ana Madureira
Abstract Self-Regulation and retail problem solving using Multi-Agent Systems are considered two promising areas but relatively little explored. The regulation in these environments must be able to handle with the implicit dynamism and variation in a complex area such as retail systems with a minimum human interference. Agents must be able to change their behaviour based on rules previously formatted, using an autonomic process that does the maintenance of a knowledge base which is well defined and consistent, to be possible to meet all the objectives and to provide support on the need of change.
39.1
Introduction
With the increasing competition as result of globalization of markets, comes the need for continuing innovation in products, services and retail processes. Retail systems are central to this process, aimed to reducing costs, optimizing processes, control of the business, strengthening the policy of quality customer service, reducing delivery times, the ability to answer to external requests, among others. Retail systems must be able to handle dynamic nature of demand and market performance. Increased competitiveness is one of the responsible factors for increased research and development of new approaches to support these systems, since the evolution required in terms of features is debated constantly, to the needs implicit in business practices.
B. Magalha˜es (*) School of Engineering – Polytechnic of Porto (ISEP/IPP), Porto, Portugal e-mail: [email protected] A. Madureira GECAD – Knowledge Engineering and Decision Support Research Center, School of Engineering – Polytechnic of Porto (ISEP/IPP), Porto, Portugal e-mail: [email protected] A. Madureira et al. (eds.), Computational Intelligence and Decision Making: Trends and 417 Applications, Intelligent Systems, Control and Automation: Science and Engineering 61, DOI 10.1007/978-94-007-4722-7_39, # Springer Science+Business Media Dordrecht 2013
418
B. Magalha˜es and A. Madureira
The main objective of this work is the analysis and implementation of a mechanism-based Self-Regulation in a Multi-agent autonomic system, providing support in decision, making on complex issues in a retail environment, based on knowledge previously collected and represented – Self-Regulation Retail System (SelfRetail). Thus, the main contributions of this work are: • Applicability and suitability to the paradigms of Autonomic Computing and Multi-Agent Systems to the context of the characteristics needed to solve the problem; • Proposal for modelling and specification of a system with Self-Regulation in conflict management in retail; • The formulation of a model to represent domain knowledge; • Standardize the mechanisms to support implementation of components characterized by paradigms addressed through modules that can be adaptable to different activities or knowledge; • Study of performance and system support required by the restrictions in the retail business area; • Test and
Data Loading...
