DSS Framework: A Proposal for Disaster Logistic Support System for the Province of Laguna

Authors

DOI:

https://doi.org/10.32871/rmrj2008.02.04

Keywords:

ICT-based logistic, logistics, decision tree models, provincial and municipal disaster risk reduction management

Abstract

The Philippines’ location within the Pacific Ring of Fire brings enormous threat to its people. Intervention and innovation are to be in place for survival and growth, since nothing can be done about its geographic location and the threats that come with it. This study aims to create a framework for developing a decision support system, a mobile and web application for the efficient implementation of the disaster logistics support system. The study will utilize Agile Methodology for the software development in the proposed framework. This proposed framework exhibits the features of the system such as identifying location, affected families, supplies, reports, management of inventory, vehicle outsourcing, and monitoring. The system framework can be a helpful tool for the efficient and speedy delivery of needed help and an effective approach to disaster supply chain issues.

References

A-Iryani, N. & Gassin, T. (2005). Logistic and transportation management. Master Thesis No. 2005:65. Retrieved from: https://gupea.ub.gu.se/bitstream/2077/2262/1/gbs_thesis_62.pdf

Azmi, I., Hamid, N. A., Hussin, M. N. M., & Ibrahim, N. I. (2017). Logistics and supply chain management: The importance of integration for business processes. Journal of emerging economies and Islamic Research, 5(4), 73-80. Retrieved from: https://www.researchgate.net/publication/322553696

Bastos, M., Campos, V., & Bandeira, R., (2014). Logistic processes in a post-disaster relief operation. Procedia - Social and Behavioral Sciences, 111, 1175-1184. https://doi.org/10.1016/j.sbspro.2014.01.152

D’Uffizi A., Simonetti M., Stecca G., & Confessore G. (2015). A Simulation study of logistics for disaster relief operations. Procedia CIRP, 33, 157-162. https://doi.org/10.1016/j.procir.2015.06.029

Li, X. (2014). Operations management of logistics and supply chain: Issues and directions. Discrete Dynamics in Nature and Society, 2014. https://doi.org/10.1155/2014/701938

Nahleh Y., Kumar A., Daver A., & Al-Hindawi R., (2014). Decision tree modeling in emergency logistics planning. International Journal of Industrial and Manufacturing Engineering, 8(6), 1704-1708. Retrieved from: https://www.researchgate.net/publication/320294294_Decision_Tree_Modeling_in_Emergency_Logistics_Planning

Ndonye, S. K., (2014). Influence of information technology on logistics performance in Kenya with reference to cargo transportation. Research Journal of Supply Chain Management. 1(2). Retrieved from: http://www.ijsrp.org/research-paper-0415/ijsrp-p40116.pdf

Republic Act No. 10121. (2010). “Philippine Disaster Risk Reduction and Management Act of 2010.” Retrieved from: https://lawphil.net/statutes/repacts/ra2010/ra_10121_2010.html

Thaller, C., Moraitakis, N., Rogers, H., Sigge, D., Clausen, U., Pfohl, H. C., Hartmann, E., & Hellingrath, B. (2012). Analysis of the logistics research in India–white paper. BMBF, Germany. Under Contract IND, 11, A15. Retrived from: https://web.iitd.ac.in/~ravi1/4a_White%20Paper%20Logistics%20Research%20in%20India%20%282%29.pdf

Van Dyk, E., Ittmann, H. W., Marais, M. A., & Meyer, I. (2006). State of logistics: Research priorities for sustained improvement. Retrieved from: http://hdl.handle.net/10204/1039

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Published

2020-12-29

How to Cite

Alipio, R. H., & Balahadia, F. F. (2020). DSS Framework: A Proposal for Disaster Logistic Support System for the Province of Laguna. Recoletos Multidisciplinary Research Journal, 8(2), 51–62. https://doi.org/10.32871/rmrj2008.02.04

Issue

Vol. 8 No. 2 (2020)

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Articles

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