Operations research approaches for disaster recovery planning

Operations research approaches for disaster recovery planning

Computers & Operations Research 36 (2009) 1 – 1 www.elsevier.com/locate/cor Editorial Operations research approaches for disaster recovery planning ...

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Computers & Operations Research 36 (2009) 1 – 1 www.elsevier.com/locate/cor

Editorial

Operations research approaches for disaster recovery planning A disaster recovery plan (DRP) is a system for internal control and security that focuses on maintaining continuity or quick restoration of service for critical organizational processes when there are operational failures due to disasters. In recent years various factors led to increasing interest in the development, testing, and maintenance of DRPs. While much attention has been paid to DRPs in the practitioner community, the subject has received scant attention in the operations research/management science/information systems research literature. A major objective of this special issue is that it will serve as an important early step in the effort of developing a body of formal knowledge on the DRP process that would be accessible and valuable to managers, researchers, students, practitioners, and vendors. Thirteen papers were submitted for the special issue and we accepted three. Our first two papers are related to logistics challenges that arise within the context of a natural disaster, while the third relates to reliability problems of computer networks. In Supply Chain Planning for Hurricane Response with Wind Speed Information Updates, Lodree and Taskin presented an approach that incorporates hurricane predictions into the inventory control management decision process. Given the importance of network infrastructures to inbound and outbound logistics as well as operations and other activities in the value chain, Matisziw and Murray in Modeling s-t Path Availability to Support Disaster Vulnerability Assessment of Network Infrastructure explored the issue of vulnerability assessment of such infrastructures. In Disaster Avoidance Mechanism for Content-Delivering Service Liang et al. explored content distribution across computer networks in a large-scaled firm. We wish to express our appreciation to all the authors who submitted papers. We also wish to express our gratitude to all the reviewers who diligently reviewed the papers in order to ensure that there was appropriate quality and fit. Kweku-Muata Osei-Bryson Department of Information Systems, Virginia Commonwealth University, Richmond, VA 23284, USA E-mail address: [email protected] Anito Joseph Department of Management Science, University of Miami, Coral Gables, FL 33124, USA

0305-0548/$ - see front matter 䉷 2007 Elsevier Ltd. All rights reserved. doi:10.1016/j.cor.2007.09.002