The incident commander's problem: resource allocation in the context of emergency response

A large-scale emergency response relies on a single decision-maker, the Incident Commander, to spontaneously allocate resources that change continuously in both availability and status, to control and resolve an equally dynamic incident. This exploratory study examines the general form of the Incident Commander's problem, the design and management of a highly temporary organisation deploying resources against a unique and evolving problem. Table-top simulation, long established in the training of decision-makers, is introduced here as a research tool to observe and record the evolution of one such emergency operation. Data from a particular table-top simulation is used in a novel application of social network analysis, which shows great promise in the further study of emergency response. This simulation likewise provided the opportunity to compare two different methodologies of decision support for emergency response, yielding some highly counter-intuitive observations.

[1]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[2]  P. Kolesar,et al.  Improving Emergency Responsiveness with Management Science , 2004 .

[3]  Nezih Altay,et al.  OR/MS research in disaster operations management , 2006, Eur. J. Oper. Res..

[4]  Luk N. Van Wassenhove,et al.  The Natural Drift: What Happened to Operations Research? , 1993, Oper. Res..

[5]  Bartel Van de Walle,et al.  Open source software for disaster management , 2007, Commun. ACM.

[6]  Neville A Stanton,et al.  Command and control in emergency services operations: a social network analysis , 2006, Ergonomics.

[7]  Richard C. Larson,et al.  Approximating the Performance of Urban Emergency Service Systems , 1975, Oper. Res..

[8]  Gülay Barbarosoglu,et al.  An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations , 2002, Eur. J. Oper. Res..

[9]  Jan M. Chaiken,et al.  Methods for Allocating Urban Emergency Units: A Survey , 1972 .

[10]  N. C. Simpson,et al.  Modeling of residential structure fire response: Exploring the hyper-project , 2006 .

[11]  Yan Xiao,et al.  Coordination in Fast-Response Organizations , 2006, Manag. Sci..

[12]  William J. Wiehagen,et al.  Decision making during a simulated mine fire escape , 1998 .

[13]  Richard L. Hewitt Siting a Fire Station by Leveraging Soft Constraints and Supporting Science , 2002, Interfaces.

[14]  Dick A Buck,et al.  A Critical Evaluation of the Incident Command System and NIMS , 2006 .

[15]  Nezih Altay,et al.  Issues in disaster relief logistics , 2008 .

[16]  Natasa Rupcic,et al.  The fifth discipline-the art and practice of the learning organisation , 2002 .

[17]  Wendy Gregory,et al.  Planning for disaster: developing a multi-agency counselling service , 2000, J. Oper. Res. Soc..

[18]  Karlene H. Roberts,et al.  The Incident Command System : High Reliability Organizing for Complex and Volatile Task , 2007 .

[19]  John Scott What is social network analysis , 2010 .

[20]  A. A. Aly,et al.  Probabilistic Formulation of the Emergency Service Location Problem , 1978, The Journal of the Operational Research Society.

[21]  George D. Haddow,et al.  Introduction to Emergency Management , 2003 .

[22]  R. Eccles The quasifirm in the construction industry , 1981 .

[23]  Beth A. Bechky Gaffers, Gofers, and Grips: Role-Based Coordination in Temporary Organizations , 2006, Organ. Sci..

[24]  R. Goodman,et al.  Some Management Issues in Temporary Systems: A Study of Professional Development and Manpower--The Theater Case. , 1976 .

[25]  Steven Thompson,et al.  Improving disaster response efforts with decision support systems , 2006 .

[26]  Xia Zhao,et al.  Organizational Design and Restructuring in Response to Crises: Lessons from Computational Modeling and Real-World Cases , 2006, Organ. Sci..

[27]  James A. Fitzsimmons,et al.  A Methodology for Emergency Ambulance Deployment , 1973 .

[28]  Charles S. ReVelle,et al.  The Location of Emergency Service Facilities , 1971, Oper. Res..

[29]  Juan Manuel Serrano,et al.  Knowledge-based models for emergency management systems , 2001, Expert Syst. Appl..

[30]  R. Deal Simulation Modeling and Analysis (2nd Ed.) , 1994 .