Behdani, B.; Z. Lukszo; A. Adhitya and R. Srinivasan: Decentralized vs. centralized management of abnormal situations in a multi-plant enterprise using an agent-based approach, pp. 1219-1224. In: The Proceedings of the European Symposium on Computer-Aided Process Engineering-ESCAPE 20, 6-9 June (2010). At: Ischia, Naples, Italy. [s.l.]: Elsevier, 2010. Eds.: S. Pierucci and G. Buzzi Ferraris. ISBN: 978-0-444-53569-6
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.