A Greenfield Analysis for Supply Chains Enhanced with Agent-Based Simulation

García-Roa, Eduardo; Marmolejo-Saucedo, José Antonio; Martínez, Ana Paula; Elizarrarás, Fernando

doi:10.1007/978-3-031-34750-4_3

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

DOI

10.1007/978-3-031-34750-4_3

URL

https://scripta.up.edu.mx/handle/20.500.12552/9982

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