Using Monte Carlo simulation to refine emergency logistics response models: a case study

Abstract

Purpose

The purpose of this paper is to provide a framework for the development of emergency logistics response models. The proposition of a conceptual framework is in itself not sufficient and simulation models are further needed in order to help emergency logistics decision makers in refining their preparedness planning process.

Design/methodology/approach

The paper presents a framework proposition with illustrative case study.

Findings

The use of simulation modelling can help enhance the reliability and validity of developed emergency response model.

Research limitations/implications

The emergency response model outcomes are still based on simulated outputs and would still need to be validated in a real‐life environment. Proposing a new or revised emergency logistics response model is not sufficient. Developed logistics response models need to be further validated and simulation modelling can help enhance validity.

Practical implications

Emergency logistics decision makers can make better informed decisions based on simulation model output and can further refine their decision‐making capability.

Originality/value

The paper posits the contribution of simulation modelling as part of the framework for developing and refining emergency logistics response.

Citation

Banomyong, R. and Sopadang, A. (2010), "Using Monte Carlo simulation to refine emergency logistics response models: a case study", International Journal of Physical Distribution & Logistics Management, Vol. 40 No. 8/9, pp. 709-721. https://doi.org/10.1108/09600031011079346