Document Type

Article

Source Publication Title

Journal of Humanitarian Logistics & Supply Chain Management (Emerald)

DOI

https://doi.org/10.1108/JHLSCM-07-2015-0033

Abstract

Purpose The purpose of this paper is to present a conceptual framework for a hybrid simulation model that can be used to study the decision making and behaviors of humanitarian logistics actors to determine how/whether certain coordination mechanisms enable better relief chain efficiency and effectiveness over time. Design/methodology/approach The agent-based portion of the model is used to represent human decision making and interactions in a more realistic way than has been done previously, and the discrete-event simulation (DES) portion of the model allows the movement of vehicles, materials, and information throughout a supply network to be represented in a way that allows for dynamic and stochastic behavior. Findings Coordinated efforts by actors in humanitarian logistics operations involve complex interactions and adaptations over time, which can be capture and explored via hybrid agent-based model (ABM)-DES modeling. Research limitations/implications This paper describes a framework for a hybrid ABM-DES model. The actual development and implementation of the model, including input data collection and analysis, model development, experimentation, and output data collection and analysis, will be the subject of future work. Practical implications The hybrid model framework provides other researchers with a starting point for model development. Social implications This paper provides a basis for future modeling and assessment of coordination in humanitarian logistics, an area that is in need of research. Originality/value The hybrid simulation modeling framework presented in this paper is a novel application of a new modeling methodology to the problem of coordination in humanitarian logistics.

Disciplines

Engineering | Operations Research, Systems Engineering and Industrial Engineering

Publication Date

12-7-2015

Language

English

Comments

This is an accepted version of an article published by Emerald.

Available for download on Wednesday, January 01, 3000

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