TY - JOUR
T1 - A review of agent-based modeling approach in the supply chain collaboration context
AU - Arvitrida, N. I.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/4/10
Y1 - 2018/4/10
N2 - Collaboration is considered as the key aspect of supply chain management (SCM) success. This issue has been addressed by many studies in recent years, but there are still few research employs agent-based modeling (ABM) approach to study business partnerships in SCM. This paper reviews the use of ABM in modeling collaboration in supply chains and inform the scope of ABM application in the existing literature. The review reveals that ABM can be an effective tool to address various aspects in supply chain relationships, but its applications in SCM studies are still limited. Moreover, where ABM is applied in the SCM context, most of the studies focus on software architecture rather than analyzing the supply chain issues. This paper also provides insights to SCM researchers about the opportunity uses of ABM in studying complexity in supply chain collaboration.
AB - Collaboration is considered as the key aspect of supply chain management (SCM) success. This issue has been addressed by many studies in recent years, but there are still few research employs agent-based modeling (ABM) approach to study business partnerships in SCM. This paper reviews the use of ABM in modeling collaboration in supply chains and inform the scope of ABM application in the existing literature. The review reveals that ABM can be an effective tool to address various aspects in supply chain relationships, but its applications in SCM studies are still limited. Moreover, where ABM is applied in the SCM context, most of the studies focus on software architecture rather than analyzing the supply chain issues. This paper also provides insights to SCM researchers about the opportunity uses of ABM in studying complexity in supply chain collaboration.
UR - http://www.scopus.com/inward/record.url?scp=85046290334&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/337/1/012015
DO - 10.1088/1757-899X/337/1/012015
M3 - Conference article
AN - SCOPUS:85046290334
SN - 1757-8981
VL - 337
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012015
T2 - 1st International Conference on Industrial and Systems Engineering, IConISE 2017
Y2 - 29 August 2017 through 30 August 2017
ER -