MAS approach to business models simulations: supply chain management case study

Authors:
Jacek Jakieła;Paweł Litwin;Marcin Olech
Affiliations:
Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, Department of Computer Science, Rzeszow, Poland;Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, Department of Computer Science, Rzeszow, Poland;Rzeszow University of Technology, Faculty of Mechanical Engineering and Aeronautics, Department of Computer Science, Rzeszow, Poland
Venue:
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part II
Year:
2010

Citing 6
Cited 1

The sciences of the artificial (3rd ed.)

The sciences of the artificial (3rd ed.)
Multi agent based simulation: beyond social simulation

MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Agent-Oriented Software Engineering

MAAMAW '99 Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: MultiAgent System Engineering
A conceptual model for the creation of supply chain simulation models

WSC '05 Proceedings of the 37th conference on Winter simulation
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation

Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
Multi-Agent Systems: Simulation and Applications

Multi-Agent Systems: Simulation and Applications

Multiagent based simulation as a supply chain analysis workbench

Transactions on Compuational Collective Intelligence VI

Quantified Score

Hi-index	0.00

Visualization

Abstract

The main aim of the paper is to show that an agent paradigm may be considered as a powerful conceptual framework for organization modeling and testbed for business simulations. The sections of the paper gradually prove these theses. Firstly the agent orientation has been presented as a source of natural and very intuitive modeling constructs and complexity management tools. Then the classical model of supply chain simulation was altered to its agent version. Finally the case study concerning the agent based simulation experiment of supply chain has been elaborated and results of the simulation runs carefully analyzed as well as interpreted.