Abstract
The use of decision support systems is an important part of supply chain management. Quick and adequate decision making is sometimes difficult to achieve. Three issues arise: how to gather relevant data and use past experiences, how to make the decision when many criteria have to be taken into account and how can we ensure that the decision making process is quick. Those three issues are currently faced by many companies and some solutions have already been proposed in the literature. Yet, in some cases, it is difficult, if not possible to apply those solutions. Humanitarian organizations, for example, have difficulties to build on past experiences. Quick decision making in this sector is vital. The purpose of this paper is to design and develop decision-making tool to support the performance of humanitarian logistics. A case study at the French Red Cross will validate this proposal.
Chapter PDF
Similar content being viewed by others
Keywords
References
Anne, L.D.: Key Performance Indicators in Humanitarian Logistics, B.S. Accounting and Information Systems, B.A. French Virginia Polytechnic Institute and State University (June 2002)
Aurelie, C., Matthieu, L., Rolando, T.: Learning from previous humanitarian operations, a Business Process Reengineering approach. In: Proceedings of the 6th International ISCRAM Conference,Gothenburg, Sweden (May 2009)
Boin, A., Kelle, P., Clay Whybark, D.: Resilient supply chains for extreme situations: Outlining a new field of study. International Journal of Production Economics 126(1), 1–6 (2010), doi:10.1016/j.ijpe
Bolloju, N., Khalifa, M., Turban, E.: Integrating knowledge management into enterprise environments for the next generation decision support. Decision Support Systems 33(2), 163–176 (2002)
Juerg, R.: What is a carbon footprint ? definition, http://timeforchange.org/what-is-a-carbon-footprint-definition (accessed March 18, 2012)
McKinnon, A.: Guidelines for Measuring and Managing CO2 Emission from Freight Transport Operations (March 2011)
Saaty, T.L.: Decision Making with the Analytic hierarchy process. Int. Jour. Services Sciences 1(1), 83–98 (2008)
Sprague Jr., R.H., Carlson, E.D.: Building Effective Decision Support Systems. Prentice Hall, Englewood Cliffs (1982) A classic DSS textbook with data-dialogue-model framework
Stephen, P., Anthony, B.: Critical success factors in the context of humanitarian aid supply chains. International Journal of Physical, Distribution and Logistics Management 39(6), 450–468 (2009), doi:10.1108/09600030910985811
Thomas, A., Kopczak, L.: From logistics to supply chain management. The path forward in the humanitarian sector, Fritz Institute, http://www.fritzinstitute.org/PDFs/WhitePaper/FromLogisticsto.pdf (accessed December 16, 2012)
Zhou, Huang, Zhang: Identifying critical success factors in emergency management using a fuzzy DEMATEL method. Safety Science 49(2), 243–252 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 IFIP International Federation for Information Processing
About this paper
Cite this paper
Saksrisathaporn, K., Charles, A., Bouras, A. (2013). Development of a Decision Support System to Facilitate Multi-criteria Decision Making during Humanitarian Operation within a Project Life Cycle. In: Prabhu, V., Taisch, M., Kiritsis, D. (eds) Advances in Production Management Systems. Sustainable Production and Service Supply Chains. APMS 2013. IFIP Advances in Information and Communication Technology, vol 415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41263-9_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-41263-9_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41262-2
Online ISBN: 978-3-642-41263-9
eBook Packages: Computer ScienceComputer Science (R0)