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Articles 1 - 9 of 9
Full-Text Articles in Management Sciences and Quantitative Methods
Optimal Allocation Of Resources In Airport Security: Profiling Vs. Screening, Aniruddha Bagchi, Jomon Aliyas Paul
Optimal Allocation Of Resources In Airport Security: Profiling Vs. Screening, Aniruddha Bagchi, Jomon Aliyas Paul
Jomon Aliyas Paul
This model examines the role of intelligence gathering and screening in providing airport security. We analyze this problem using a game between the government and a terrorist. By investing in intelligence gathering, the government can improve the precision of its information. In contrast, screening can be used to search a passenger and thereby deter terrorist attacks. We determine the optimal allocation of resources between these two strategies wherein we model the role of intelligence using the concept of supermodular precision. One striking result is that under certain circumstances, an increase in the investment in intelligence can induce a more devious …
Improving Hurricane Disaster Preparedness: Models For Optimal Reallocation Of Hospital Capacity, Jomon Paul, Rajan Batta
Improving Hurricane Disaster Preparedness: Models For Optimal Reallocation Of Hospital Capacity, Jomon Paul, Rajan Batta
Jomon Aliyas Paul
This research presents significant improvements to the hospital capacity planning models for hurricane disaster proposed by Paul and Batta. Firstly, we develop a model that reallocates hospital capacities taking into account the effect of casualty severity on medical care demands and travel time to hospitals on casualty outcomes. Secondly, travel time to hospitals, a key input to the model, is estimated using a stochastic simulation. Thirdly, in order to meet with challenges that arise as disaster evolves, we develop an algorithm that dynamically updates the pre-disaster plans to post-disaster reality. The algorithm evaluates prior decisions by dynamically updating the hospital …
Hospital Capacity Planning For Efficient Disaster Mitigation During An Earthquake, Pengfei Yi, Santosh George, Jomon Aliyas Paul, Li Lin
Hospital Capacity Planning For Efficient Disaster Mitigation During An Earthquake, Pengfei Yi, Santosh George, Jomon Aliyas Paul, Li Lin
Jomon Aliyas Paul
Hospitals are an integral part of a society’s critical functions designed to respond to man-made and natural disasters. Effective hospital capacity planning can significantly enhance the capability and effectiveness of treatment for emergency patients with injuries resulting from a disaster. Such information can be used for patient/ambulance routing, resource planning, and emergency operations management. In the current paper, we develop a generic simulation model that is capable of representing the operations of a wide range of hospitals given an earthquake disaster situation. Using results from our simulations, generalized regression equations are fitted to obtain steady-state hospital capacities. A parametric metamodel …
Sambhoos, K., Sudit, M., Paul, J. (2009). Improved Situation Assessment Through Early Detection During A Bioterrorist Attack By Using Dynamic Graph Matching, Jomon Aliyas Paul, Kedar Sambhoos, Sudit Moises
Sambhoos, K., Sudit, M., Paul, J. (2009). Improved Situation Assessment Through Early Detection During A Bioterrorist Attack By Using Dynamic Graph Matching, Jomon Aliyas Paul, Kedar Sambhoos, Sudit Moises
Jomon Aliyas Paul
No abstract provided.
Using Dynamic Graph Matching And Gravity Models For Early Detection Of Bioterrorist Attack By Analysis Of Hospital Patient Data., Jomon Aliyas Paul, Kedar Sambhoos, Govind Hariharan
Using Dynamic Graph Matching And Gravity Models For Early Detection Of Bioterrorist Attack By Analysis Of Hospital Patient Data., Jomon Aliyas Paul, Kedar Sambhoos, Govind Hariharan
Jomon Aliyas Paul
Timely detection of a bioterrorist attack is of profound significance for efficient emergency public health management. Various systems currently exist which are capable of detecting the biologic agents prior to (e.g. biosensors) and after exposure (syndromic surveillance) but suffer from limitations like high cost and false positives (Stoto et al., Williams). In this paper, we use novel dynamic graph matching and gravity models to formulate a more precise and efficient methodology for detection. The problem is complicated by the similarity of anthrax and small pox symptoms to common diseases like influenza, chickenpox, airborne characteristics of these agents (that increases the …
Models For Hospital Location And Capacity Allocation For An Area Prone To Natural Disasters, Jomon Aliyas Paul, Rajan Batta
Models For Hospital Location And Capacity Allocation For An Area Prone To Natural Disasters, Jomon Aliyas Paul, Rajan Batta
Jomon Aliyas Paul
This paper develops and analyses two basic models for hospital location and capacity allocation. The focus is on an area prone to natural disasters. The first model seeks to locate hospitals and allocate capacities so that the mean travel distance for patients to hospitals is minimised over a variety of disaster scenarios. The second model seeks to reallocate capacity among hospitals so as to maximise the system’s effectiveness to the upcoming disaster event. Heuristic solution methods of the two models are investigated, so as to make the approach computationally viable and to gain insight into the location and capacity allocation …
Airport Security System Design: Passenger Flow Analysis And Simulation Modeling, Jomon Aliyas Paul, Rajan Batta, Li Lin, Colin Drury
Airport Security System Design: Passenger Flow Analysis And Simulation Modeling, Jomon Aliyas Paul, Rajan Batta, Li Lin, Colin Drury
Jomon Aliyas Paul
No abstract provided.
Paul, J., Hariharan, G. (2007). Hospital Capacity Planning For Effective Disaster Mitigation During A Bioterrorist Attack., Jomon Aliyas Paul, Govind Hariharan
Paul, J., Hariharan, G. (2007). Hospital Capacity Planning For Effective Disaster Mitigation During A Bioterrorist Attack., Jomon Aliyas Paul, Govind Hariharan
Jomon Aliyas Paul
Effective hospital capacity planning can not only significantly enhance the capability and effectiveness of the treatment provided to patients during a bioterrorist attack but can also provide critical information. While a lot of work has been done to model hospital capacity estimates for natural disasters the same cannot be said for manmade biological disasters like anthrax or smallpox. In this paper, we develop a generic simulation model of hospital capacity planning during a bioterrorist attack. We model both cases in which the occurrence of the attack and the type of agent used are known as well as when they are …
Transient Modeling In Simulation Of Hospital Operations For Emergency Response., Jomon Paul, Santosh George, Pengfei Yi, Li Lin
Transient Modeling In Simulation Of Hospital Operations For Emergency Response., Jomon Paul, Santosh George, Pengfei Yi, Li Lin
Jomon Aliyas Paul
Rapid estimates of hospital capacity after an event that may cause a disaster can assist disaster-relief efforts. Due to the dynamics of hospitals, following such an event, it is necessary to accurately model the behavior of the system. A transient modeling approach using simulation and exponential functions is presented, along with its applications in an earthquake situation. The parameters of the exponential model are regressed using outputs from designed simulation experiments. The developed model is capable of representing transient, patient waiting times during a disaster. Most importantly, the modeling approach allows real-time capacity estimation of hospitals of various sizes and …