Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1570-7946(09)70163-4
Title: Agent based model for performance analysis of a global chemical supply chain during normal and abnormal situations
Authors: Behdani, B.
Lukszo, Z.
Adhitya, A.
Srinivasan, R. 
Keywords: abnormal situation management
Agent based models
global chemical supply chain
multi-plant enterprise
Issue Date: 2009
Source: Behdani, B.,Lukszo, Z.,Adhitya, A.,Srinivasan, R. (2009). Agent based model for performance analysis of a global chemical supply chain during normal and abnormal situations. Computer Aided Chemical Engineering 26 : 979-984. ScholarBank@NUS Repository. https://doi.org/10.1016/S1570-7946(09)70163-4
Abstract: A global chemical supply chain is a complex network of different world-wide companies producing, handling, and distributing specific chemical products. For improving the overall performance of such systems, it is necessary to view them on one hand as a whole, and on the other as an aggregation of lower-level constituents - the production sites, plants etc, linked through various business processes. Agent-based modeling is a proven approach for modeling complex network of intelligent and distributed actors. In this paper we will demonstrate how an agent-based model can be developed to evaluate the dynamic behavior of supply networks, considering both the system-level performance as well as the components' behavior particularly during abnormal situations. As an illustrative case, an agent-based model of a global supply chain is introduced. The behavior of supply network during an abnormal situation is also studied along with strategies to mitigate the effects of disruption. © 2009 Elsevier B.V. All rights reserved.
Source Title: Computer Aided Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/63449
ISBN: 9780444534330
ISSN: 15707946
DOI: 10.1016/S1570-7946(09)70163-4
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

6
checked on Dec 12, 2017

Page view(s)

38
checked on Dec 15, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.