A Greenfield Analysis for Supply Chains Enhanced with Agent-Based Simulation
Journal
Computer Science and Engineering in Health Services : 6th EAI International Conference Proceedings, COMPSE 2022, Mexico City, July 28, 2022
ISSN
2522-8595
Publisher
Springer
Date Issued
2024-01-01
Author(s)
García-Roa, Eduardo
Marmolejo-Saucedo, José Antonio
Martínez, Ana Paula
Elizarrarás, Fernando
Type
Resource Types::text::book::book part
Abstract
This chapter presents a strategy to improve the greenfield analysis of a supply chain. The proposed strategy is based on a multiparadigm simulation model that uses discrete event simulation and agent-based simulation for vehicles used in freight transport. The modeling was carried out using Anylogic software, which is the only software that allows the integration of different simulation methods in the same project. A hypothetical case study was developed to implement the strategy. © 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
How to cite
García-Roa, E., Marmolejo-Saucedo, J.A., Martínez, A.P., Elizarrarás, F. (2024). A Greenfield Analysis for Supply Chains Enhanced with Agent-Based Simulation. In: Marmolejo-Saucedo, J.A., Rodríguez-Aguilar, R., Vasant, P., Litvinchev, I., Retana-Blanco, B.M. (eds) Computer Science and Engineering in Health Services. COMPSE 2022. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-34750-4_3