Agent Based Approach for Modeling Disturbances in Supply Chain

The aim of the paper is to present the agent based approach for modeling disturbances in supply chain. An introduction to the issue of Agent-Based Modeling is provided. The paper describes in detail the modeled area of a supply chain, taking into account different modeling techniques. Disturbances (selected and highlighted by the authors) are identified and modeling methods are discussed. Two selected disturbances are modeled using of agent-based approach. The research highlights of the performed works are as follows: identifying disturbances in a supply chain, which can be modeled with use of the ABS approach and demonstrating how to model the chosen disturbances by using the above method of modeling.

[1]  Benita M. Beamon,et al.  Modeling food supply chains using multi-agent simulation , 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).

[2]  Elena Navarro,et al.  Highlights on Practical Applications of Agents and Multi-Agent Systems - 10th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2012 Special Sessions, Salamanca, Spain, 28-30 March, 2012 , 2012, PAAMS.

[3]  Adil Baykasoglu,et al.  A multi-agent approach to load consolidation in transportation , 2011, Adv. Eng. Softw..

[4]  Peer-Olaf Siebers,et al.  Discrete-event simulation is dead, long live agent-based simulation! , 2010, J. Simulation.

[5]  E. Yücesan,et al.  AGENT-BASED SIMULATION TUTORIAL-SIMULATION OF EMERGENT BEHAVIOR AND DIFFERENCES BETWEEN AGENT-BASED SIMULATION AND DISCRETE-EVENT SIMULATION , 2010 .

[6]  Christos G. Cassandras,et al.  Introduction to Discrete Event Systems , 1999, The Kluwer International Series on Discrete Event Dynamic Systems.

[7]  Małgorzata Jasiulewicz-Kaczmarek,et al.  Sustainability: Orientation in Maintenance Management—Theoretical Background , 2013 .

[8]  Jaroslaw Wikarek,et al.  A hybrid approach to supply chain modeling and optimization , 2013, 2013 Federated Conference on Computer Science and Information Systems.

[9]  Grzegorz Bocewicz,et al.  Multimodal Processes Cyclic Steady States Scheduling , 2013, PAAMS.

[10]  J. Banks,et al.  Discrete-Event System Simulation , 1995 .

[11]  Flavien Balbo,et al.  Dynamic modeling of a disturbance in a multi-agent system for traffic regulation , 2005, Decis. Support Syst..

[12]  He-ping Zhang,et al.  Plan and Coordination of Agile Supply Chain Based on Multi-Agent , 2011 .

[13]  Thomas G. Robertazzi,et al.  Modeling mobile agent behavior , 2006, Comput. Math. Appl..

[14]  Michael J. North,et al.  Agent-based modeling and simulation: introductory tutorial , 2013, WSC '13.

[15]  Pawel Sitek,et al.  A hybrid CP / MP approach to supply chain modelling , optimization and analysis , 2014 .