The Location-allocation Decision under The Dynamic Increment of Demand for Selecting The Local Distribution Centers to Face Sumatra Megathrust: Study Case of Padang City

Liperda Rahmad Inca, Sirivongpaisal Nikorn

Abstract


The efforts of providing effective relief assistance in the aftermath of the disaster is prominent to prevent losses and suffering. During the emergency response, the level of preparedness becomes a decisive factor to obtain an immediate countermeasure in order to enhance the capability and to reduce the impact caused by the disaster. Due to its vital role as a transit point to manage large inflow and outflow of the relief commodities, the location-allocation decision to select the appropriate Local Distribution Centers (LDCs) is essential. This research proposes the location-allocation planning for encountering Sumatra Megathrust during 72 hours of the critical period. The dynamic increment of demand over the planning period is considered as a constraint to obtain the set of appropriate LDCs to be established per day. The consideration regarding the expected impassable paths based on the worst case tsunami inundation scenario is acknowledged to ensure the proper access for distributing the relief aids. This work utilizes Geographical Information Systems (GIS) with the maximum coverage analysis to generate the set of alternative LDCs per day. The effectiveness of the alternative LDCs is measured by calculating the opening cost and transportation cost. The finding recommends two LDCs to be opened in the first two days, and three LDCs are considered to be established on the third day. The total costs of the LDCs establishment per day are 1369.05 USD, 669.85 USD, and 1126.53 USD. The depiction of the selected depots-recipient counterparts is provided to acquire the spatial information of the study area.


Keywords


relief assistance; location-allocation; LDCs; GIS; Sumatra megathrust.

Full Text:

PDF

References


L. N. Van Wassenhove, “Blackett memorial lecture humanitarian aid logistics: Supply chain management in high gear,” J. Oper. Res. Soc., vol. 57, no. 5, pp. 475–489, 2006.

A. Cozzolino, S. Rossi, and A. Conforti, “Agile and lean principles in the humanitarian supply chain: The case of the United Nations World Food Programme,” J. Humanity. Logist. Supply Chain Manag., vol. 2, no. 1, pp. 16–33, 2012.

B. Balcik and B. M. Beamon, “Facility location in humanitarian relief,” Int. J. Logist. Res. Appl., vol. 11, no. 2, pp. 101–121, 2008.

M. Milenković and D. Kekic, “Using GIS in Emergency Management,” Proc. Int. Sci. Conf. - Sint. 2016, no. April, pp. 202–207, 2016.

L. Alçada-Almeida, L. Tralhão, L. Santos, and J. Coutinho-Rodrigues, “A Multiobjective Approach to Locate Emergency Shelters and Identify Evacuation Routes in Urban Areas Geographical Analysis Volume 41, Issue 1,” Geogr. Anal., vol. 41, no. 1, pp. 9–29, 2009.

J. Coutinho-Rodrigues, L. Tralhão, and L. Alçada-Almeida, “Solving a location-routing problem with a multiobjective approach: The design of urban evacuation plans,” J. Transp. Geogr., vol. 22, pp. 206–218, 2012.

W. Ping, L. Xiang, and W. Kening, “The Study on Optimization Location-Allocation of Emergency Shelter for Earthquake,” no. May, p. 7708, 2015.

O. Rodríguez-Espíndola, P. Albores, and C. Brewster, “GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics,” Geosciences, vol. 6, no. 2, p. 18, 2016.

B. Saeidian, M. Mesgari, B. Pradhan, and M. Ghodousi, “Optimized Location-Allocation of Earthquake Relief Centers Using PSO and ACO, Complemented by GIS, Clustering, and TOPSIS,” ISPRS Int. J. Geo-Information, vol. 7, no. 8, p. 292, 2018.

BPBD Sumatera Barat, “Rencana Kontinjensi Menghadapi Tsunami Provinsi Sumatera Barat,” Padang.

C. G. Rawls and M. A. Turnquist, “Pre-positioning and dynamic delivery planning for a short-term response following a natural disaster,” Socioecon. Plann. Sci., vol. 46, no. 1, pp. 46–54, 2012.

Y. Song and X. Yan, “A method for formulizing disaster evacuation demand curves based on SI model,” Int. J. Environ. Res. Public Health, vol. 13, no. 10, 2016.

R. Patrisina, “Humanitarian logistics planning in Indonesia,” Prince of Songkla University, 2016.

R. Patrisina, N. Sirivongpaisal, and S. Suthommanon, “A logistical relief distribution preparedness model: response to a probable tsunami case study in West Sumatra, Indonesia,” Ind. Eng. Manag. Syst.




DOI: http://dx.doi.org/10.18517/ijaseit.9.1.8030

Refbacks

  • There are currently no refbacks.



Published by INSIGHT - Indonesian Society for Knowledge and Human Development