DocumentCode :
130182
Title :
Agent-based supply chain management modeling and simulation
Author :
Zaiyong Tang ; Youqin Pan
Author_Institution :
Dept. of Marketing & Decision Sci., Salem State Univ., Salem, MA, USA
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
1255
Lastpage :
1259
Abstract :
We used an agent-based modeling approach to study the bullwhip effect under different demand patterns, order policies, and supply chain structures. We are able to confirm that information sharing can reduce the bullwhip effect across various demand patterns. Furthermore, we extended the serial supply chains to supply chain networks, and verified that the benefit of information sharing is also present in networked supply chains.
Keywords :
multi-agent systems; network theory (graphs); production engineering computing; supply chain management; agent-based supply chain management modeling; agent-based supply chain management simulation; bullwhip effect; demand patterns; information sharing; order policies; serial supply chains; supply chain networks; supply chain structures; Computational modeling; Educational institutions; Information management; Mathematical model; Production facilities; Supply chain management; Supply chains; Agent-based modeling; SCM; Supply Chain Management; bullwhip effect;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2014 IEEE International Conference on
Conference_Location :
Hailar
Type :
conf
DOI :
10.1109/ICInfA.2014.6932841
Filename :
6932841
Link To Document :
بازگشت