A Euclidean-based decision model for logistic mobilisation to disaster area

Journal of Transport and Supply Chain Management

Field Value
Title A Euclidean-based decision model for logistic mobilisation to disaster area
Creator Ferina, Ayu K. Utama, Ditdit N.
Subject — emergency response; warehouse; disaster; logistic; relief; refugees; decision model; Euclidean
Description Background: The fulfilment of the emergency response to the disaster area not only prioritises foods or medicines but also helps in mobilisation of equipment, facilities, and infrastructures in the form of logistics. The suitable warehouses will be able to provide every logistic needed and this will have a positive impact on the government as one of the relief institutions that is responsible for helping the refugees as quickly as possible.Objectives: The objectives of the study are to determine the logistic needs from disaster area, analyse and evaluate all assets from the 35 warehouses, identify the key indicators to generate the parameter, and to generate several mathematical formulas to be used in the simulation case.Method: Euclidean-based methodology is applied to calculate every fitness distance as a gap value of each parameter. All stock quantity from 35 warehouses will be the source of the data, with the logistic needs play role as the initial input for the calculation processes.Results: The logistic needs and the distance resulted in this study became the key indicators to determine the criteria. The study also generates seven equations for the disaster’s case simulation.Conclusion: To conclude, the outcomes resulted from the simulation indicate that from 35 warehouses alternatives, the fitness gap calculation completed at the 31st warehouse and the public hydrant became the fastest logistic, which completed all demand by two warehouses.Contribution: The study will be useful for the decision makers as the recommendation and guideline to improve the acceleration of emergency response of the logistic mobilisation from selected and prioritised warehouses.
Publisher AOSIS
Date 2023-10-18
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — —
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/jtscm.v17i0.963
Source Journal of Transport and Supply Chain Management; Vol 17 (2023); 9 pages 1995-5235 2310-8789
Language eng
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https://jtscm.co.za/index.php/jtscm/article/view/963/1503 https://jtscm.co.za/index.php/jtscm/article/view/963/1504 https://jtscm.co.za/index.php/jtscm/article/view/963/1505 https://jtscm.co.za/index.php/jtscm/article/view/963/1506
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Rights Copyright (c) 2023 Ayu Kristianty Ferina, Ditdit Nugeraha Utama https://creativecommons.org/licenses/by/4.0