New Information Systems Study Findings Have Been Reported from KEDGE Business School (Prepositioning emergency supplies to support disaster relief: a…

Information Technology Newsweekly

New Information Systems Study Findings Have Been Reported from KEDGE Business School (Prepositioning emergency supplies to support disaster relief: a case study using stochastic programming)

By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Investigators publish new report on Information Technology - Information Systems. According to news originating from Talence, France, by VerticalNews correspondents, research stated, "This paper studies the strategic problem of designing emergency supply networks to support disaster relief over a planning horizon. The problem addresses decisions on the location and number of distribution centres needed, their capacity, and the quantity of each emergency item to keep in stock."

Financial support for this research came from National Science Foundation.

Our news journalists obtained a quote from the research from KEDGE Business School, "It builds on a case study inspired by real-world data obtained from the North Carolina Emergency Management Division (NCEM) and the Federal Emergency Management Agency (FEMA). To tackle the problem, a scenariobased approach is proposed involving three phases: disaster scenario generation, design generation and design evaluation. Disasters are modelled as stochastic processes and a Monte Carlo procedure is derived to generate plausible catastrophic scenarios. Based on this detailed representation of disasters, a multi-phase modelling framework is proposed to design the emergency supply network. The two-stage stochastic programming model proposed is solved using a sample average approximation method."

According to the news editors, the research concluded: "This scenario-based solution approach is applied to the case study to generate plausible scenarios, to produce alternative designs and to evaluate them on a set of performance measures in order to select the best design."

For more information on this research see: Prepositioning emergency supplies to support disaster relief: a case study using stochastic programming. Infor, 2018;56(1):50-81. Infor can be contacted at: Univ Toronto Press Inc, Journals Division, 5201 Dufferin St, Downsview, Toronto, On M3H 5T8, Canada. (Springer - www.springer.com; Infor - www.springerlink.com/content/0178-3564/)

The news correspondents report that additional information may be obtained from W. Klibi, KEDGE Business Sch, Center Excellence Supply Chain CESIT, Talence, France. Additional authors for this research include S. Ichoua and A. Martel.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1080/03155986.2017.1335045. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

Keywords for this news article include: Talence, France, Europe, Information Systems, Information Technology, KEDGE Business School.