Browsing Department of Industrial, Manufacturing, and Systems Engineering by Title
Now showing items 91-110 of 167
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Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For Coal-fired Power Plants
(Industrial & Manufacturing Engineering, 2011-07-14)Coal is one of the most important energy sources in the U.S. However, it is also one of the biggest air polluters where the major emissions generated from coal combustion are oxides of nitrogen (NOx). NOx leads to ozone ... -
Mathematical Programming Approaches For Land Use Planning That Limits Urban Sprawl
(Industrial & Manufacturing Engineering, 2014-03-12)Sprawl has a detrimental effect on quality of life and the environment. For example, it increases our dependence on vehicles for daily tasks. This leads to increased vehicular pollution. It also increases traffic, which ... -
A Methodology For Evaluating The Performance Of Reverse Supply Chains In Consumer Electronics Industry
(Industrial & Manufacturing Engineering, 2007-08-23)Enterprises around the world are employing reverse supply chain practices to generate profit making opportunities while meeting new regulations. As a result of the rapid progress in technology the product lifecycles are ... -
Methodology For Reverse Supply Chain Design In Consumer Electronics Industry
(Industrial & Manufacturing Engineering, 2007-08-23)Reverse Logistics (RL), the art and science of moving goods typically from the end consumer towards the upstream end of supply chains, has been the subject of many strategic meetings in organizations today. This is attributed ... -
Methodology To Forecast Product Returns For The Consumer Electronics Industry
(Industrial & Manufacturing Engineering, 2010-03-03)Reverse logistics has gained much attention in recent years. It is becoming a value added area of a supply chain network day by day. For enterprises, it has therefore become essential to manage the reverse flow of materials ... -
Mixed Integer Programming Models For Selecting Ground-level Ozone Control Strategies
(Industrial & Manufacturing Engineering, 2011-07-14)Under the Clean Air Act (CAA) in 1990, the U.S Environmental Protection Agency (EPA) was required to set National Ambient Air Quality Standards (NAAQS) for six common air pollutants that are considered harmful to public ... -
A Model Characterization Of The Texas Healthcare Facilities
(Industrial & Manufacturing Engineering, 2014-03-10)The Patient Protect and Affordable Care Act of 2010 became a law on March 23, 2010. This healthcare act, according to the authors, is designed to improve health services by targeting various facets of the industry: ... -
Models For Evaluation Of Supply Chain Risk With Application To Healthcare Management
(Industrial & Manufacturing Engineering, 2013-03-20)Over the past two decades, supply chain management has come to be a key component of organization competitiveness and effectiveness. In the same period, most organizations have put a great deal of effort into improving ... -
Multi-objective Evaluation Of Dynamic Facility Layout Using Ant Colony Optimization
(Industrial & Manufacturing Engineering, 2008-04-22)The Dynamic Facility Layout Problem (DFLP) deals with changes of facility layout throughout time. As an extension to Static Facility Layout Problem (SFLP), it has gathered increasing interests lately. Facility layouts are ... -
A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life
(MDPI, 2020-08-18)**Please note that the full text is embargoed** ABSTRACT: The food distribution process is responsible for significant quality loss in perishable products. However, preserving quality is costly and consumes a tremendous ... -
MULTI-OBJECTIVE TWO-STAGE STOCHASTIC PROGRAMMING FOR ADAPTIVE INTERDISCIPLINARY PAIN MANAGEMENT WITH PIECE-WISE LINEAR NETWORK TRANSITION MODELS
(2017-08-16)Pain is the most common symptom when a patient visits a physician. People experience pain throughout their lifetime at different degrees. If short term pain is not treated properly, then it can become long term pain, ... -
Multivariate Adaptive Regression Spline Based Framework For Statistically Parsimonious Adaptive Dynamic Programming
(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
(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 ... -
MULTIVARIATE TIME SERIES PATTERN RECOGNITION USING MACHINE LEARNING AND DEEP LEARNING METHODS
(2019-12-16)In this research work, we have implemented machine learning & deep-learning algorithms on real-time multivariate time series datasets in the manufacturing & health care fields. The research work is organized in two ... -
New Approach For Minimizing Human Errors In Hospital Operating Rooms By Using RFID Alerting Systems
(Industrial & Manufacturing Engineering, 2013-07-22)Patient safety is an increasing concern in health care due to the fact the increasing number of medical errors. Most fatal medical errors happen in hospital operating rooms. This research proposes a unique approach that ... -
New Equilibria For Noncooperative Games
(Industrial & Manufacturing Engineering, 2008-08-08)In this dissertation we present an alternative to the Nash Equilibrium (NE), which is regarded as the fundamental solution concept in game theory. An NE provides a solution in which no player can improve his payoff by ... -
Novel Nonparametric Control Charts For Monitoring Multivariate Processes
(Industrial & Manufacturing Engineering, 2010-03-03)The objective of this dissertation is to develop novel nonparametric control charts to effectively monitor and diagnose multivariate processes with a minimal set of modeling assumptions. Statistical process control (SPC) ... -
One Step at a Time: Improving the Fidelity of Geospatial Agent-Based Models Using Empirical Data
(2021-11-18)Agent-based modeling is frequently used to produce geospatial models of transportation systems. However, reducing the computational requirements of these models can require a degree of abstraction that can compromise the ... -
Optimization Models For Leishmaniasis Control: A Case For Bihar, India
(Industrial & Manufacturing Engineering, 2013-10-22)Leishmaniasis, is a family of infectious diseases, which mostly affects poor and developing countries. The highest prevalence and mortality rate of Visceral Leishmaniasis (VL) the world over occurs in Bihar state of ... -
Optimized Estimates Based On Multiple Sensor Configuration Knowledge
(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 ...