Abstract
This chapter presents a stochastic optimization model for disaster management planning. In particular, the focus is on the integrated decisions about the distribution of relief supplies and evacuation operations. The proposed decision-making approach recommends the best relief distribution centers to use as storage locations and determines their optimal inventory levels. The model also incorporates the priorities for the evacuation of particular communities, as well as specific disaster scenarios with estimates of the transportation needs and demand for aid. A case study is presented to determine the distribution of aid for a flood emergency in Thailand that uses a flood hazard map.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abounacer R, Rekik M, Renaud J (2014) An exact solution approach for multi-objective location—transportation problem for disaster response. Comput Oper Res 41:83–93
Altay N, Green WG (2006) OR/MS research in disaster operations management. Eur J Oper Res 175(1):475–493
Balcik B, Beamon BM (2008) Facility location in humanitarian relief. Int J Logistics Res Appl 11(2):101–121
Barbarosoglu G, Arda Y (2004) A two-stage stochastic programming framework for transportation planning in disaster response. J Oper Res Soc 55(1):43–53
Chang MS, Tseng YL, Chen JW (2007) A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transp Res Part E 43:737–754
Civil Engineering Chiang Mai University Natural Disasters Research Unit (2015) Chiang Mai City Flood Preparedness System. http://cendru.eng.cmu.ac.th/cmflood/map.html. Approach 24 Jan 2015
Irohara T, Kuo YH, Leung JMY (2013) From preparedness to recovery: a tri-level programming model for disaster relief planning. In: Pacino D et al (eds) Computational logistics. Springer, Heidelberg, pp 213–228
Jia H, Ordonez F, Dessouky MM (2007) Solution approaches for facility location of medical supplies for large-scale emergencies. Comput Ind Eng 52(2):257–276
Kelle P, Schneider H, Yi H (2014) Decision alternatives between expected cost minimization and worst case scenario in emergency supply—second revision. Int J Prod Econ 157:250–260
Kongsomsaksakul S, Yang C, Chen A (2005) Shelter location-allocation model for flood evacuation planning. J Eastern Asia Soc Transp Stud 6:4237–4252
Liu Y, Lai X, Chang G (2006) Two-level integrated optimization system for planning of emergency evacuation. J Transp Eng 132:800–807
Manopiniwes W, Irohara T (2014) A review of relief supply chain optimization. Ind Eng Manage Syst 13(1):1–14
Manopiniwes W, Nagasawa K, Irohara T (2014) Humanitarian relief logistics with time restriction: thai flooding case study. Ind Eng Manage Syst 13(4):398–407
Mete HO, Zabinsky ZB (2010) Stochastic optimization of medical supply location and distribution in disaster management. Int J Prod Econ 126(1):76–84
Rawls CG, Turnquist MA (2010) Pre-positioning of emergency supplies for disaster response. Transp Res Part B Methodol 44(4):521–534
Salman FS, Yücel E (2015) Emergency facility location under random network damage: insights from the Istanbul. Comput Oper Res
Song R, He S, Zhang L (2009) Optimum transit operations during the emergency evacuations. J Transp Syst Eng Inf Technol 9(6):154–160
Verma A, Gaukler GM (2014) Pre-positioning disaster response facilities at safe locations: an evaluation of deterministic and stochastic modeling approaches. Comput Oper Res
Wood SH, Ziegler AD (2008) Floodplain sediment from a 100-year-recurrence flood in 2005 of the Ping River in northern Thailand. Hydrol Earth Syst Sci 12:959–973
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Manopiniwes, W., Irohara, T. (2015). Integrated Relief Supply Distribution and Evacuation: A Stochastic Approach. In: Kachitvichyanukul, V., Sethanan, K., Golinska- Dawson, P. (eds) Toward Sustainable Operations of Supply Chain and Logistics Systems. EcoProduction. Springer, Cham. https://doi.org/10.1007/978-3-319-19006-8_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-19006-8_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19005-1
Online ISBN: 978-3-319-19006-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)