A systemic process model for procurement decisions in humanitarian logistics

ISCRAM 2013 Conference Proceedings - 10th International Conference on Information Systems for Crisis Response and Management

Volumn , Issue , 2013, Pages 688-692

  Lima, Fabiana Santos ^a   Hellingrath, Bernd ^b   Widera, Adam ^b   Gonçalves, Mirian Buss ^a  

^a FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

^b UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

Humanitarian logistics; K means; Network flow problem; Process models; Quantitative model

Indexed keywords

DECISION SUPPORT SYSTEMS; DISASTER PREVENTION; INFORMATION SYSTEMS;

HUMANITARIAN LOGISTICS; K-MEANS; NETWORK FLOW PROBLEMS; PROCESS MODEL; QUANTITATIVE MODELING;

SUPPLY CHAINS;

EID: 84905668805     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Acosta, M., Goncalves, M.;Vidal, M.E. (2011). CAREY: Clim Atological Control of EmergencY Regions. OTM Workshops, LNCS 7046, pp. 494-503, 2011. c Springer-Verlag Berlin Heidelberg.
2. Bandyopadhyay, S. (2011) Genetic algorithms for clustering and fuzzy clustering. WIREs Data Mining and Knowledge Discovery 1, 524-531.
3. Blecken, A. (2010) Humanitarian Logistics: Modelling Supply Chain Processes of Humanitarian Organisations, Haupt Verlag, Bern et al.
4. Cauchick, M. (2010) Research Methodology in Production Engineering and Operations Management. Elsevier, Rio de Janeiro, 2010.
5. Chandes, J.; Paché, G. (2010). Investigating humanitarian logistics issues: From operations management to strategic action. Journal of Manufacturing Technology Management Vol. 21 No. 3, pp. 320-340.
6. Chang L.C., Shen H.Y., Wang Y.F., Huang J.Y.& Lin Y.T. (2010). Clustering-based hybrid inundation model for forecasting flood inundation depths. Original Research Article Journal of Hydrology, Volume 385, Issues 1-4, 7 May, Pages 257-268.
7. Chu H.J., Liau C.J., Lin C.H. & Su B.S.(2012). Integration of fuzzy cluster analysis and kernel density estimation for tracking typhoon trajectories in the Taiwan region. Original Research Article Expert Systems with Applications, Volume 39, Issue 10, August 2012, Pages 9451-9457.
8. Coughlan, P.; Coghlan, D. (2002) Action research for operations management, International Journal of Operations & Production Management, Vol. 22 Iss: 2, pp.220 - 240.
9. Dalal J., Mohapatra P.K.J.; Mitra G.C. (2007). Locating cyclone shelters: A case. Emerald Article: Disaster Prevention and Management Vol. 16 No. 2, 2007 pp. 235-244 .Emerald Group Publishing Limited 0965-3562.
10. Davenport, T. (1994). Reengenharia de Processos: Como inovar na empresa através da tecnologia da informação. Rio de Janeiro, Campus.
11. Falasca, M; Zobel, C. (2011) A two-stage procurement model for humanitarian relief supply chains", Journal of Humanitarian Logistics and Supply Chain Management, Vol. 1 Iss: 2 pp. 151 - 169.
12. Haghani, A.; Oh, S. (1996), "Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations", Transportation Research Part A, Vol. 30 No. 3, pp. 231-50.
13. Halkidi, M; Batistakis, Y.; Vazirgiannis, M. (2001) On Clustering Validation Techniques. Journal of Intelligent Information Systems, 17:2/3, 107-145.
14. Jahre, M.; Jensen, M.(2010) Coordination in humanitarian logistics through clusters. International Journal of Physical Distribution & Logistics Management, Vol. 40, 8/9, pp. 657-674.
15. Jahre, M;Navangul, A.K. (2011) Predisting the unpredictable - Demand Forecasting in International Humanitarian Response. In: Proceedings of the 23rd Annual NOFOMA Conference. Harstad, Norway, 2011. P. 265-281.
16. Kennington, J; Helgason, R. (1980) Algorithm for Network Programming. New York: John Willey & Sons.
17. Kogan, J.; Nicholas, C.; Teboulle, M. (2006) Grouping Multidimensional Data: Recent Advances in Clustering. Berlin: Springer.
18. Lima, F. S.; Oliveira, D.; Gonçalves, M. B.(2012) . Metodo para seleção de fornecedores para atendimento as vítimas de Desastres Naturais considerando o Lead Time Logístico dos Produtos.. In: XXVI ANPET - Congresso de Pesquisa e Ensino em Transportes, Joinville. XXVI ANPET.
19. PAHO (2001), Humanitarian Supply Management in Logistics in the Health Sector, Pan American Health Organization, Washington, DC.
20. Trestrail, J., Paul, J.;Maloni, M. (2009), "Improving bid pricing for humanitarian logistics", International Journal of Physical Distribution & Logistics Management, Vol. 39 No. 5, pp. 428-41.
21. Van Wassenhove, L.V.; Tomasini, R. (2009) Humanitarian logistics. Insead Business Press.
22. Wan S. (2012). Entropy-based particle swarm optimization with clustering analysis on landslide susceptibility mapping .Received: 27 February 2012/Accepted: 3 July 2012 Springer-Verlag 2012.
23. Widera, A.; Hellingrath, B. (2011) Improving Humanitarian Logistics - Towards a Tool-based Process Modeling Approach . In: Proceedings of the Logistikmanagement. Bamberg, 2011. 273-295.