Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Information Systems: A Management Perspective
Information Systems: A Management Perspective
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Modeling Supply-Chain Networks by a Multi-Agent System
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
Wasp-like Agents for Distributed Factory Coordination
Autonomous Agents and Multi-Agent Systems
Expert Systems with Applications: An International Journal
Dynamic supply chain design with inventory
Computers and Operations Research
Evaluating the supply chain performance of IT-based inter-enterprise collaboration
Information and Management
Agent Mertacor: A robust design for dealing with uncertainty and variation in SCM environments
Expert Systems with Applications: An International Journal
Multi-behavior agent model for planning in supply chains: An application to the lumber industry
Robotics and Computer-Integrated Manufacturing
Expert Systems with Applications: An International Journal
Adaptive job routing and scheduling
Engineering Applications of Artificial Intelligence
Genetic learning of fuzzy cognitive maps
Fuzzy Sets and Systems
Petri-net integration - An approach to support multi-agent process mining
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Supply chain requirements and challenges in recent years have made managers to explore new methods in dealing with supply chain management (SCM) problems. Methods with high flexibility which can adapt plans to real conditions help one to make a decision at the right time. In the SCM, distribution and allocation problems are of enormous significance and due to their applications in the cross-functional and final parts of SCM problems, they are in a particular position among the SCM problems. In this paper, by proposing an architecture based up on multi-agent system (MAS), a model is developed to tackle such problems as the nature of supply chain distributions, dynamic distributions systems (DS), uncertain parameters in DS, management of diverse objectives in DS, need for flexibility in DS and other factors considered as challenges and designing requirements in an agile model which can be all found in the SCM. MAS was used in this article owing to their special attributes and features. In MAS, each agent follows up a duty in a self-contained way and is able to adapt it to the environmental changes, after all helping the system to stay alive.