scholarly journals Agent-Based and System Dynamics Modeling of Water Field Services

Challenges ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 13
Author(s):  
Bernard Amadei

This paper explores the applicability of the agent-based (AB) and system dynamics (SD) methods to model a case study of the management of water field services. Water borehole sites are distributed over an area and serve the water needs of a population. The equipment at all borehole sites is managed by a single water utility that has adopted specific repair, replacement, and maintenance rules and policies. The water utility employs several service crews initially stationed at a single central location. The crews respond to specific operation and maintenance requests. Two software modeling tools (AnyLogic and STELLA) are used to explore the benefits and limitations of the AB and SD methods to simulate the dynamic being considered. The strength of the AB method resides in its ability to capture in a disaggregated way the mobility of the individual service crews and the performance of the equipment (working, repaired, replaced, or maintained) at each borehole site. The SD method cannot capture the service crew dynamics explicitly and can only model the average state of the equipment at the borehole sites. Their differences aside, both methods offer policymakers the opportunity to make strategic, tactical, and logistical decisions supported by integrated computational models.

Author(s):  
Tuan M. Ha ◽  
Viet H. Duong

This study reports on a case study using a systems thinking approach, system dynamics modeling tools, and communication strategies in dealing with a complex disaster management issue in Haiphong, a vulnerable coastal city in northern Vietnam. Desktop studies together with a number of interactive workshops were organized to provide inputs for developing a big picture of the current situation using Vensim software. Bayesian network modeling was then used to identify systemic interventions aiming at achieving the final goal of a disaster ready, resilient, and smart city. A number of communication strategies have been formulated and implemented. Initial evident successes of the interventions are discussed in this article.


2020 ◽  
pp. 369-389
Author(s):  
Sara Montagna ◽  
Andrea Omicini

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.


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