Using Monte Carlo simulation to refine emergency logistics response models: A case study
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 the...
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| Main Authors: | , |
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| Format: | Journal |
| Published: |
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78349254935&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43238 |
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| Institution: | Chiang Mai University |
| Summary: | 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. © Emerald Group Publishing Limited. |
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