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Inventory relocation for overlapping disaster settings in humanitarian operations

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Abstract

The number and scale of humanitarian operations has significantly increased during the past decades due to the rising number of humanitarian emergencies and natural disasters worldwide. Therefore, the development of appropriate planning methods for optimization of the respective supply chains is constantly growing in importance. A specific problem in the context of humanitarian operations is the supply of relief items to the affected areas after the occurrence of a sudden change in demand or supply, for example, due to an epidemic or to unexpected shortages, during an ongoing humanitarian action. When such overlapping disasters occur, goods must be relocated to existing depots in a way which enables rapid supply to regions with new and urgent demand. At the same time, ongoing operations have to continue, i.e., the other regions should not suffer from shortages, and possible future emergencies must be taken into account. This is a planning situation under uncertainty as it is not known in advance if and where a disruption—and hence additional demand—will occur. In this paper, an optimization model for such situations is developed based on penalty costs for non-satisfied demand. A rolling horizon approach for solving the model is presented, and it is shown that taking into account the possibility of future disruptions can help to balance inventories and to reduce total non-served demand.

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References

  • Adivar B, Atan T, Oflaç BS, Örten T (2010) Improving social welfare chain using optimal planning model. Supply Chain Manag: Int J 15(4): 290–305

    Article  Google Scholar 

  • Archibald TW (2007) Modelling replenishment and transshipment decisions in periodic review multilocation inventory systems. J Oper Res Soc 58: 948–956

    Article  Google Scholar 

  • Archibald TW, Black DP, Glazebrook KD (2010) The use of simple calibrations of individual locations in making transshipment decisions in a multi-location inventory network. J Oper Res Soc 61: 294–305

    Article  Google Scholar 

  • Baker KR, Peterson DW (1979) An analytical framework for evaluating rolling schedules. Manag Sci 25(4): 341–351

    Article  Google Scholar 

  • Balaisyte J, Pedraza Martinez AJ, Stapleton O, Van Wassenhove LN (2011) Responding to the haiti earthquake disaster: one year on. http://www.insead.edu/facultyresearch/centres/isic/humanitarian/HaitiOneYearOn.cfm. Accessed 12 March 2011

  • Balçik B, Beamon BM (2008) Facility location in humanitarian relief. Int J Logist: Res Appl 11(2): 101–121

    Article  Google Scholar 

  • Barbarosoǧlu G, Arda Y (2004) A two-stage stochastic programming framework for transportation planning in disaster response. J Oper Res Soc 55: 43–53

    Article  Google Scholar 

  • Beamon BM, Balçik B (2008) Performance measurement in humanitarian relief chains. Int J Public Sector Manag 21(1): 4–25

    Article  Google Scholar 

  • Beamon BM, Kotleba SA (2006) Inventory modelling for complex emergencies in humanitarian relief operations. Int J Logist: Res Appl 9(1): 1–18

    Article  Google Scholar 

  • Blecken A, Dangelmaier W, Danne C, Rottkemper B, Hellingrath B (2010) Optimal stock relocation under uncertainty in post-disaster humanitarian operations. In: Proceedings of the 43rd Hawaii international conference on system sciences. IEEE Computer Society Press

  • Burton I (1997) Vulnerability and adaptive response in the context of climate and climate change. Clim Change 36(1–2): 185–196

    Article  Google Scholar 

  • Campbell AM, Jones PC (2011) Prepositioning supplies in preparation for disasters. Eur J Oper Res 209(2): 156–165

    Article  Google Scholar 

  • Chang MS, Tseng YL, Chen JW (2007) A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transp Res E 43: 737–754

    Article  Google Scholar 

  • De Treville S, Smith I, Rölli A, Arnold V (2006) Applying operations management logic and tools to save lives: a case study of the world health organization’s global drug facility. J Oper Manag 24(4): 397–406

    Article  Google Scholar 

  • EM-DAT (2009) The OFDA/CRED international disaster database. http://www.emdat.be/. Accessed 10 Oct 2010

  • Escudero LF, Galindo E, García G, Gómez E, Sabau V (1999) Schumann, a modeling framework for supply chain management under uncertainty. Eur J Oper Res 119(1): 14–34

    Article  Google Scholar 

  • Fiedrich F, Gehbauer F, Rickers U (2000) Optimized resource allocation for emergency response after earthquake disasters. Saf Sci 35: 41–57

    Article  Google Scholar 

  • Graves SC, Willems SP (2000) Optimizing strategic safety stock placement in supply chains. Manuf Serv Oper Manag 2(1): 68–83

    Article  Google Scholar 

  • Haghani A, Oh SC (1996) Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations. Transp Res A 30(3): 231–250

    Google Scholar 

  • Herer YT, Tzur M, Yücesan E (2006) The multilocation transshipment problem. IIE Trans 38: 185–200

    Article  Google Scholar 

  • Hua Z, Yang J, Huang F, Xu X (2009) A static-dynamic strategy for spare part inventory systems with nonstationary stochastic demand. J Oper Res Soc 60: 1254–1263

    Article  Google Scholar 

  • Kovács G, Spens KM (2007) Humanitarian logistics in disaster relief operations. Int J Phys Distrib Logist Manag 37(2): 99–114

    Article  Google Scholar 

  • Lin YH, Batta R, Rogerson PA, Blatt A, Flanigan M (2009) A logistics model for delivery of critical items in a disaster relief operation: heuristic approaches. Working paper. http://www.acsu.buffalo.edu/~batta/. Accessed 5 March 2011

  • Lodree EJ, Taskin S (2008) An insurance risk management framework for disaster relief and supply chain disruption inventory planning. J Oper Res Soc 59: 674–684

    Article  Google Scholar 

  • Manuj I, Mentzer JT (2008) Global supply chain risk management strategies. Int J Phys Distrib Logist Manag 38(3): 192–223

    Article  Google Scholar 

  • Médecins Sans Frontières (2008) MSF activity report 2007. Annual report

  • Médecins Sans Frontières (2009a) MSF activity report 2008. Annual report

  • Médecins Sans Frontières (2009b) “Top Ten” humanitarian crises: aid blocked and diseases neglected. Press release. http://www.doctorswithoutborders.org/publications/topten/2009/article.cfm?id=4127. Accessed 5 March 2011

  • Médecins Sans Frontières (2010) Hirnhautentzündung (Meningitis). http://www.aerzte-ohne-grenzen.de/informieren/krankheiten/hirnhautentzuendung/vorgehen-bei-einer-epidemie/index.html. Accessed 22 Oct 2010

  • Minner S (2000) Strategic safety stocks in supply chains. Springer, Berlin

    Book  Google Scholar 

  • Minner S, Silver EA, Robb DJ (2003) An improved heuristic for deciding on emergency transshipments. Eur J Oper Res 148(2): 384–400

    Article  Google Scholar 

  • Nagar L, Jain K (2008) Supply chain planning using multi-stage stochastic programming. Supply Chain Manag: Int J 13(3): 251–256

    Article  Google Scholar 

  • Nolz PC, Doerner KF, Gutjahr WJ, Hartl RF (2007) Modelling disaster relief operations as covering tour problem. Technical report. Austrian Science Fund (FWF)

  • Oloruntoba R, Gray R (2006) Humanitarian aid: an agile supply chain. Supply Chain Manag: Int J 11(2): 115–120

    Article  Google Scholar 

  • Özdamar L, Ekinci E, Küçüekyazici B (2004) Emergency logistics planning in natural disasters. Ann Oper Res 129: 217–245

    Article  Google Scholar 

  • Pedraza Martinez AJ, Van Wassenhove LN (2009) Vehicle replacement in the international committee of the Red Cross. INSEAD Working Paper 2009/38/TOM/ISIC

  • Pedraza Martinez AJ, Hasija S, Van Wassenhove LN (2010) An operational mechanism design for fleet management coordination in humanitarian operations. INSEAD Working Paper 2010/87/TOM/ISIC

  • Rao S, Goldsby TJ (2009) Supply chain risks: a review and typology. Int J Logist Manag 20(1): 97–123

    Article  Google Scholar 

  • Rawls CG, Turnquist MA (2010) Pre-positioning of emergency supplies for disaster response. Transp Res B 44: 521–534

    Article  Google Scholar 

  • Salmerón J, Apte A (2010) Stochastic optimization for natural disaster asset prepositioning. Prod Oper Manag 19(5): 561–574

    Article  Google Scholar 

  • Schmitt AJ (2008) Using stochastic supply inventory models to strategically mitigate supply chain disruption risk. Logist Spectrum 42(4): 22–27

    Google Scholar 

  • Sheu JB (2007) An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transp Res E 43: 687–709

    Article  Google Scholar 

  • Sodhi M, Tang C (2011) Determining supply requirement in the sales-and-operations-planning (S&OP) process under demand uncertainty: a stochastic programming formulation and a spreadsheet implementation. J Oper Res Soc 62: 526–536

    Article  Google Scholar 

  • Stapleton O, Pedraza Martinez AJ, Van Wassenhove LN (2009) Last mile vehicle supply chain in the International Federation of Red Cross and Red Crescent Societies. INSEAD Working Paper 2009/40/TOM/ISIC

  • Swiss Reinsurance Company (2010) Sigma no. 1/2010: natural catastrophes and man-made disasters in 2009. Catastrophes claim fewer victims, insured losses fall. Technical report. Swiss Reinsurance Company, Zurich. http://www.swissre.com/. Accessed 22 Oct 2010

  • The Sphere Project (2004) Humanitarian charter and minimum standards in disaster response. The Sphere Project. http://www.sphereproject.org/. Accessed 17 March 2009

  • Thomas AS, Kopczak LR (2005) From logistics to supply chain management: the path forward in the humanitarian sector. http://www.fritzinstitute.org/PDFs/WhitePaper/FromLogisticsto.pdf. Accessed 10 Oct 2010

  • Thomas AS, Kopczak LR (2007) Life-saving supply chains. In: Hillier FS, Lee HL, Lee CY (eds) Building supply chain excellence in emerging economies. International series in operations research & management science, vol 98. Springer, New York, pp 93–111

  • Tomasini R, Van Wassenhove LN (2009) Humanitarian logistics, 1st edn. Palgrave Macmillan, Basingstoke

    Book  Google Scholar 

  • Tomlin BT, Snyder LV (2007) On the value of a threat advisory system for managing supply chain disruptions. Working paper, Lehigh University

  • Tufinkgi P (2006) Logistik im Kontext internationaler Katastrophenhilfe, 1st edn. Haupt Verlag, Bern

    Google Scholar 

  • Tzeng GH, Cheng HJ, Huang TD (2007) Multi-objective optimal planning for designing relief delivery systems. Transp Res E 43: 673–686

    Article  Google Scholar 

  • United Nations Cartographic Section (2010) Reference map of Burundi. http://www.un.org/Depts/Cartographic/map/profile/burundi.pdf. Accessed 23 Oct 2010

  • Van Wassenhove LN (2006) Humanitarian aid logistics: supply chain management in high gear. J Oper Res Soc 57: 475–489

    Article  Google Scholar 

  • Van Wassenhove LN, Pedraza Martinez AJ (2010) Using OR to adapt supply chain management best practices to humanitarian logistics. Int Trans Oper Res (to appear)

  • Yi W, Kumar A (2007) Ant colony optimization for disaster relief operations. Transp Res E 43: 660–672

    Article  Google Scholar 

  • Yi W, Özdamar L (2007) A dynamic logistics coordination model for evacuation and support in disaster response activities. Eur J Oper Res 179: 1177–1193

    Article  Google Scholar 

Download references

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Correspondence to Beate Rottkemper.

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Rottkemper, B., Fischer, K., Blecken, A. et al. Inventory relocation for overlapping disaster settings in humanitarian operations. OR Spectrum 33, 721–749 (2011). https://doi.org/10.1007/s00291-011-0260-5

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