24 citations · 35 across the 12 of their papers we have counts for
12 papers
Healthcare Facility Assignment Using Real-Time Length-of-Stay Predictions: Queuing-Theoretic and Simulation-driven Machine Learning Approaches
Najiya Fatma, Varun Ramamohan
Longer stays at healthcare facilities, driven by uncertain patient load, inefficient patient flow, and lack of real-time information about medical care, pose significant challenges…
A Framework for Predicting Runtime Savings from Discrete-Event Simulation Model Simplification Operations
Mohd Shoaib, Navonil Mustafee, Varun Ramamohan
Abstraction or substitution and aggregation are the most widely used simulation model simplification operations. Abstraction involves replacing subsystems within a discrete-event s…
Impact of Transmission Dynamics and Treatment Uptake, Frequency and Timing on the Cost-effectiveness of Directly Acting Antivirals for Hepatitis C Virus Infection
Soham Das, Ajit Sood, Vandana Midha +3
Cost-effectiveness analyses, based on decision-analytic models of disease progression and treatment, are routinely used to assess the economic value of a new intervention and conse…
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters
Varun Ramamohan, Shobhit Singhal, Aditya Raj Gupta +1
Machine learning (ML) methods are used in most technical areas such as image recognition, product recommendation, financial analysis, medical diagnosis, and predictive maintenance.…
Outpatient Diversion using Real-Time Length-of-Stay Predictions
Najiya Fatma, Varun Ramamohan
In this work, we show how real-time length-of-stay (LOS) predictions can be used to divert outpatients from their assigned facility to other facilities with lesser congestion. We i…
A decision support framework for optimal vaccine distribution across a multi-tier cold chain network
Shanmukhi Sripada, Ayush Jain, Prasanna Ramamoorthy +1
In this paper, we present a decision support framework for optimizing multiple aspects of vaccine distribution across a multitier cold chain network. We propose two multi-period op…
A Discrete Simulation Optimization Approach Towards Calibration of an Agent-based Simulation Model of Hepatitis C Virus Transmission
Soham Das, Navonil Mustafee, Varun Ramamohan
This study demonstrates the implementation of the stochastic ruler discrete simulation optimization method for calibrating an agent-based model (ABM) developed to simulate hepatiti…
Simulation Modelling and Analysis of Primary Health Centre Operations
Mohd Shoaib, Varun Ramamohan
We present discrete-event simulation models of the operations of primary health centres (PHCs) in the Indian context. Our PHC simulation models incorporate four types of patients s…
Patient Diversion Across Primary Health Centers Using Real Time Delay Predictors
Najiya Fatma, Varun Ramamohan
In the current work, we consider diversion of childbirth patients who arrive seeking emergency admission to public primary health centers (PHCs). PHCs are the first point of contac…
Optimal minimal-contact routing of randomly arriving agents through connected networks
Diptangshu Sen, Prasanna Ramamoorthy, Varun Ramamohan
Collision-free or contact-free routing through connected networks has been actively studied in the industrial automation and manufacturing context. Contact-free routing of personne…
A Note on the Stochastic Ruler Method for Discrete Simulation Optimization
Varun Ramamohan, Utkarsh Agrawal, Mohit Goyal
In this paper, we propose a relaxation to the stochastic ruler method originally described by Yan and Mukai in 1992 for asymptotically determining the global optima of discrete sim…
Discriminatory Price Mechanism for Smart Grid
Diptangshu Sen, Kushaagra Goyal, Varun Ramamohan +1
We consider a scenario where a retailer can set different prices for different consumers in a smart grid. The retailer's objective is to maximize the revenue, minimize the operatin…