Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1570-7946(10)28204-4
Title: Decentralized vs. centralized management of abnormal situations in a multi-plant enterprise using an agent-based approach
Authors: Behdani, B.
Lukszo, Z.
Adhitya, A.
Srinivasan, R. 
Keywords: Abnormal situation management
Agent based modeling
Centralized/decentralized decision making
Multi-plant enterprise
Issue Date: 2010
Source: Behdani, B.,Lukszo, Z.,Adhitya, A.,Srinivasan, R. (2010). Decentralized vs. centralized management of abnormal situations in a multi-plant enterprise using an agent-based approach. Computer Aided Chemical Engineering 28 (C) : 1219-1224. ScholarBank@NUS Repository. https://doi.org/10.1016/S1570-7946(10)28204-4
Abstract: A multi-plant enterprise is a complex network of different geographically distributed production plants producing, handling, and distributing specific products. Comparing with a single plant, a multi-plant enterprise is much more complex considering the high level of inter-and intra-organizational interactions and consequently it is subject to many disruptions. While facing an abnormal situation, many different possible solutions can be defined to mitigate the negative impacts of the disruption and recover the system to its normal operation. Basically, these solutions can be at the plant level or at the enterprise level. To study which solutions are more effective in coping with a disruption, appropriate quantitative models are necessary to evaluate the effect of local behaviors and policies on the overall system performance. In this paper, we will demonstrate how an agent-based model can be used to evaluate the dynamic behavior of a multi-plant enterprise particularly during abnormal situations. Using this model, different mechanisms for coping with abnormality - centralized and decentralized - are also modeled and compared. © 2010 Elsevier B.V. All rights reserved.
Source Title: Computer Aided Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/63689
ISSN: 15707946
DOI: 10.1016/S1570-7946(10)28204-4
Appears in Collections:Staff Publications

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

Page view(s)

32
checked on Dec 14, 2017

Google ScholarTM

Check

Altmetric


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