Work

Parallel Agent-Based Framework for Analyzing Urban Agricultural Supply Chains

Year: 2025

Type: article

Abstract: This work presents a parallel agent-based framework designed to analyze the dynamics of vegetable trade within a metropolitan area. The system integrates agent-based and discrete event techniques to capture the complex interactions among farmers, vendors, and consumers in urban agricultural supply chains. Decision-making processes are modeled in detail: farmers select crops based on market trends and environmental risks, while vendors and consumers adapt their purchasing behavior according to seasonality, prices, and availability. To efficiently handle the computational demands of large-scale scenarios, we adopt an optimistic approximate parallel execution strategy. Furthermore, we introduce a credit-based load balancing mechanism that mitigates the effects of heterogeneous communication patterns and improves scalability. This framework enables detailed analysis of food distribution systems in urban contexts, offering insights relevant to smart cities and digital agriculture initiatives.

Source: Future Internet

DOI: 10.3390/fi17070316

Authors: Manuel Ignacio Manríquez, Veronica Gil-Costa, Mauricio Marin

Institutions: Universidad de Santiago de Chile, Centre for Biotechnology and Bioengineering, Consejo Nacional de Investigaciones Científicas y Técnicas, National University of San Luis

Language: English

Topic: Simulation Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Zero hunger, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,930