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Management Sciences and Quantitative Methods Commons™
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Articles 1 - 6 of 6
Full-Text Articles in Management Sciences and Quantitative Methods
Determination Of Number Of Dedicated Or's And Supporting Pricing Mechanisms For Emergent Surgeries, Leo Macdonald, Jomon Aliyas Paul
Determination Of Number Of Dedicated Or's And Supporting Pricing Mechanisms For Emergent Surgeries, Leo Macdonald, Jomon Aliyas Paul
Jomon Aliyas Paul
Inefficient management of emergent surgeries in hospitals can, in part, be attributed to a lack of rigorous analysis appropriate to capturing the underlying uncertainties inherent to this process and a pricing mechanism to ensure its financial viability. We develop a non-preemptive multi-priority queueing model that optimally manages emergent surgeries and supports the resource allocation decision-making process. Specifically, we utilize queueing and discrete event simulation to develop empirical models for determining the required number of emergent operating rooms for a hospital surgical department. We also present algorithms that estimate the appropriate pricing for patient surgeries differentiated by priority level given the …
Location-Allocation Planning Of Stockpiles For Effective Disaster Mitigation, Jomon Aliyas Paul, Govind Hariharan
Location-Allocation Planning Of Stockpiles For Effective Disaster Mitigation, Jomon Aliyas Paul, Govind Hariharan
Jomon Aliyas Paul
In the existing framework for receiving and allocating Strategic National Stockpile (SNS) assistance, there are three noticeable delays: the delay by the state in requesting federal assets, the delay in the federal process which releases assets only upon the declaration of a disaster and lastly the time it takes to reach supplies rapidly from the SNS stockpile to where it is needed. The most efficient disaster preparedness plan is one that addresses all three delays taking into account the unique nature of each disaster. In this paper, we propose appropriate changes to the existing framework to address the first two …
Modeling The Effects Of Port Disasters, Jomon Aliyas Paul, Michael Maloni
Modeling The Effects Of Port Disasters, Jomon Aliyas Paul, Michael Maloni
Jomon Aliyas Paul
Weather or terrorism-related disasters at seaports can lead to significant economic losses from vessel and cargo delays. In times of such disasters, port capacities and optimal shipment routings would change rapidly, requiring near real-time analyses for planning response operations. To address this challenge, we offer a decision support system to help port networks analyze disaster response scenarios. As part of the model, an algorithm routes arriving ships to ports to optimize the use of network capacity with respect to ocean and inland transportation, port and inventory capital costs. To reflect changing port congestion conditions, port capacities are dynamically updated in …
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 …
A Model To Study Disparities And Lifetime Medical Costs, Jomon Aliyas Paul, Leo Macdonald, Govind Hariharan
A Model To Study Disparities And Lifetime Medical Costs, Jomon Aliyas Paul, Leo Macdonald, Govind Hariharan
Jomon Aliyas Paul
We develop a mathematical model that captures the complex interactions within the health service system featuring chronic diseases and provides valuable lessons that could assist in controlling escalating healthcare costs. We utilize a Monte Carlo simulation framework to simulate the evolution of a population subject to deaths, births, and disease conditions. The model estimates the lifetime health expenditures of individuals based on demographics including race, age, and gender, as well as risk factors that contribute to the development of specific disease conditions. We further incorporate interactions between multiple disease conditions and the effect of risk factors in chronic disease incidence …
Models Using The Benefits Of Cross Training Policies To Tackle Nurse Shortage Crisis, Jomon Paul, Leo Macdonald
Models Using The Benefits Of Cross Training Policies To Tackle Nurse Shortage Crisis, Jomon Paul, Leo Macdonald
Jomon Aliyas Paul
This paper seeks to offer insight into cross training strategies that could be effective in aiding in alleviating the nurse shortage issue and its potential to negatively impact on patient safety and mortality. We develop optimization models to evaluate the benefits of cross-training, in particular chaining practices, on nurse workforce planning under stochastic demand, and determine the optimal allocation of both regular and cross-trained staff at a minimum cost. We demonstrate the benefits of cross-training in terms of a reduction in the total number of nurses required to satisfy demand across multiple departments as well as from an economic (i.e. …