Browsing Department of Industrial, Manufacturing, and Systems Engineering by Author "Chen, Victoria"
Now showing items 1-20 of 31
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A design and analysis of computer experiments approach for green building
Sayadi, Marjan (2016-12-07)The coming shortage of energy sources and critical environmental impacts are two major factors that have forced a change in product design processes. The shortage of energy sources is related to the limitation on non-renewable ... -
A Dynamic Policing Simulation Framework
Haque, Khan Md Ariful; 0000-0002-2404-3844 (2018-12-11)Crime is a serious problem to a society, and its costs are an economic burden. With the help of technology and developed tools, law enforcement agencies are making significant efforts to combat crime, so as to create a ... -
A HYBRID SYSTEMS MODEL FOR EMERGENCY DEPARTMENT BOARDING MANAGEMENT
Suley, Eniola Oluwasola; 0000-0003-3630-0585 (2022-08-04)The purpose of this research is to examine methods for minimizing the influence of boarding on emergency department (ED) crowding outcomes. To accomplish this purpose, this research uses a hybrid systems model framework ... -
A MULTI-AGENT DEMAND RESPONSE PLANNING AND OPERATIONAL OPTIMIZATION FRAMEWORK
Fallahi, Alireza; 0000-0002-3744-4380 (2019-08-29)This research describes a real-time optimization model for multi-agent demand response (DR) from a Load Serving Entity (LSE) perspective. We formulate two infinite horizon stochastic optimization models; specifically, an ... -
Adaptive Dynamic Programming For High-dimensional, Multicollinear State Spaces
Ariyajunya, Bancha (Industrial & Manufacturing Engineering, 2013-03-20)Dynamic programming (DP) is a mathematical programming method for optimizing a system changing over time and has been used to solve multi-stage optimization problems in manufacturing systems, environmental engineering, and ... -
Adaptive Pain Management Decision Support System
Lin, Ching-Feng (Industrial & Manufacturing Engineering, 2011-03-03)Pain management is an international health issue. The Eugene McDermott Center for Pain Management at the University of Texas Southwestern MedicalCenter at Dallas conducts a two-stage interdisciplinary pain management program ... -
Adjusting for Time Varying Confounding in Adaptive Interdisciplinary Pain Management Program
Ohol, Nilabh; 0000-0001-6269-2485 (2018-09-10)Interdisciplinary pain management combines multiple disciplines of professionals to understand the biological and psychosocial factors causing a patient's pain and to determine the best treatments among many to administer. ... -
AGENT-BASED MODEL SIMULATION FOR POLICE DEPLOYMENT DECISION-MAKING IN PATROL OPERATIONS
Ghasemi, Yasaman (2021-08-10)Police patrolling plays a key role in responding to 911 calls and reducing crimes. The effectiveness of patrol operations heavily depends on the deployment of police officers – e.g., the number of officers assigned to ... -
Convex Versions Of Multivariate Adaptive Regression Splines And Implementations For Complex Optimization Problems
Shih, Dachuan Thomas (Industrial & Manufacturing Engineering, 2007-08-23)Multivariate Adaptive Regression Splines (MARS) provide a flexible statistical modeling method that employs forward and backward search algorithms to identify the combination of basis functions that best fits the data. In ... -
Data Mining Based Threshold Development For Novelty Detection
Phaladiganon, Poovich (Industrial & Manufacturing Engineering, 2013-03-20)The objective of this dissertation is to develop thresholds for novelty detection with applications to statistical process control (SPC). SPC is a widely used technique for improving process and product quality. The ... -
A Data-Integrated Simulation-Based Optimization Approach For Nurse-Patient Assignment
Sundaramoorthi, Duraikannan (Industrial & Manufacturing Engineering, 2007-09-17)This research develops a novel data-integrated simulation to evaluate nurse-patient assignments (SIMNA) based on a real data set provided by Baylor Regional Medical Center (Baylor) in Grapevine, Texas. Tree-based models ... -
A Design And Analysis Of Computer Experiments-based Approach To Approximate Infinite Horizon Dynamic Programming With Continuous State Spaces
Kulvanitchaiyanunt, Asama (Industrial & Manufacturing Engineering, 2014-07-14)Dynamic programming (DP) is an optimization approach that transforms a complex problem into a sequence of simpler sub-problems at different points in stage. The original DP approach used Bellman's equation to compute the ... -
A Dynamic Multiple Stage, Multiple Objective Optimization Model With An Application To A Wastewater Treatment System
Tarun, Prashant (Industrial & Manufacturing Engineering, 2008-08-08)Decision-making for complex dynamic systems involves multiple objectives. Various methods balance the tradeoffs of multiple objectives, the most popular being weighted-sum and constraint-based methods. Under convexity ... -
An Exploration And Exploitation Pareto Approach To Surrogate Optimization
Dickson, John F. (Industrial & Manufacturing Engineering, 2014)The experiments or simulations conducted by computers can be a tedious task,requiring substantial computational time. To find a global solution using a computerexperiments process, we usually need to perform many function ... -
High-dimensional Adaptive Dynamic Programming With Mixed Integer Linear Programming
Zhang, ZirunDynamic programming (DP, Bellman 1957) is a classic mathematical programming approach to solve multistage decision problems. The “Bellman equation” uses a recursive concept that includes both the current contribution and ... -
Machine Learning Framework for Nonlinear and Interaction Relationships Involving Categorical and Numerical Features
Rao, Shirish Mohan (2021-09-01)Traditionally, physical scientific experiments have been conducted extensively to study and understand the behavior of a process or a system. With the advancement of computing technology in recent years, computer codes and ... -
MARS Knot Positioning and Global Optimization
Ju, Xinglong; 0000-0001-5213-2898 (2019-08-12)Multivariate adaptive regression splines (MARS) is a statistical modeling approach with wide real-world applications. In the MARS model building process, knot positioning is a critical step that potentially affects the ... -
Multivariate Adaptive Regression Spline Based Framework For Statistically Parsimonious Adaptive Dynamic Programming
Sahu, Subrat (Industrial & Manufacturing Engineering, 2011-10-11)Central to Dynamic Programming (DP) is the `cost-to-go' or `future value' function, which is obtained via actually solving the Bellman's equation and central to Approximate Dynamic Programming (ADP) is the use of an ... -
Multivariate Modeling For A Multiple Stage, Multiple Objective Green Building Framework
Kung, Pin (Industrial & Manufacturing Engineering, 2013-03-20)Green building is a sustainable concept to reduce environmental impact. Decision–making for green building is a complex task. A multi–stage green building framework will guide future development of a comprehensive multiple ... -
Optimized Estimates Based On Multiple Sensor Configuration Knowledge
Mishra, Roochi (Industrial & Manufacturing Engineering, 2013-10-23)There has been an increase in the usage of sensor technology as they are adaptable for use in different environments, many of which are hostile to direct human observation, such as regions affected by land mines or forest ...