A Quantitative Model For Truck Parking Utilization With Hours Of Service Regulations, 2017 University of Arkansas, Fayetteville
A Quantitative Model For Truck Parking Utilization With Hours Of Service Regulations, Alexis Christine Gaddy
Industrial Engineering Undergraduate Honors Theses
Continual growth in traffic volume on U.S. Highways and insufficient parking for commercial trucking vehicles has led to significant safety concerns for truck drivers. Hours of Service (HOS) regulations dictate driving and rest periods of truck drivers. When a truck driver must stop as designated by the HOS regulations and the nearest parking location is at capacity, the trucker must either continue driving past the HOS limit or park in an undesignated and possibly illegal or unsafe spot such as an off-ramp. The combination of these two variables play an important role in the safety of truck drivers on ...
Opening Autonomous Airspace–A Prologue, 2017 Oklahoma State University - Main Campus
Opening Autonomous Airspace–A Prologue, Samuel M. Vance
International Journal of Aviation, Aeronautics, and Aerospace
The proliferation of Unmanned Aerial Vehicles (UAV), and in particular small Unmanned Aerial Systems (sUAS), has significant operational implications for the Air Traffic Control (ATC) system of the future. Integrating unmanned aircraft safely presents long-standing challenges, especially during the lengthy transition period when unmanned vehicles will be mixed with piloted vehicles. Integration of dissimilar systems is not an easy, straight-forward task and in this case is complicated by the difficulty to truly know what is present in the airspace. Additionally, there are significant technology, security and liability issues that will need resolution to ensure property and life are protected and ...
Evaluation Of The Display Of Cognitive State Feedback To Drive Adaptive Task Sharing, 2017 Iowa State University
Evaluation Of The Display Of Cognitive State Feedback To Drive Adaptive Task Sharing, Michael C. Dorneich, Břetislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiři Vašek, Stephen D. Whitlow, Martijn Beekhuyzen
Industrial and Manufacturing Systems Engineering Publications
This paper presents an adaptive system intended to address workload imbalances between pilots in future flight decks. Team performance can be maximized when task demands are balanced within crew capabilities and resources. Good communication skills enable teams to adapt to changes in workload, and include the balancing of workload between team members This work addresses human factors priorities in the aviation domain with the goal to develop concepts that balance operator workload, support future operator roles and responsibilities, and support new task requirements, while allowing operators to focus on the most safety critical tasks. A traditional closed-loop adaptive system includes ...
Lean Energy Analysis: Identifying, Discovering And Tracking Energy Savings Potential, 2017 University of Dayton
Lean Energy Analysis: Identifying, Discovering And Tracking Energy Savings Potential, J. Kelly Kissock, John Seryak
J. Kelly Kissock
Energy in manufacturing facilities is used for direct production of goods, space conditioning, and general facility support such as lighting. This paper presents a methodology, called lean energy analysis, LEA, for graphically and statistically analyzing plant energy use in terms of these major end uses.
The LEA methodology uses as few as 60 easily obtainable data points. Multivariable change-point models of electricity and natural gas use as functions of outdoor air temperature and production data are developed. The statistical models are used to subdivide plant energy use into facility, space-conditioning and production-related components.
These breakdowns suggest the savings potential from ...
Improving Compressed Air Energy Efficiency In Automotive Plants: Practical Examples And Implementation, 2017 Oak Ridge National Laboratory
Improving Compressed Air Energy Efficiency In Automotive Plants: Practical Examples And Implementation, Nasr Alkadi, J. Kelly Kissock
J. Kelly Kissock
The automotive industry is the largest industry in the United States in terms of the dollar value of production . U.S. automakers face tremendous pressure from foreign competitors, which have an increasing manufacturing presence in this country. The Big Three North American Original Equipment Manufacturers (OEMs)-General Motors, Ford, and Chrysler-are reacting to declining sales figures and economic strain by working more efficiently and seeking out opportunities to reduce production costs without negatively affecting the production volume or the quality of the product. Successful, cost-effective investment and implementation of the energy efficiency technologies and practices meet the challenge of ...
Community-Engaged Operations Research: Trends, New Frontiers And Opportunities, 2017 University of Massachusetts - Boston
Community-Engaged Operations Research: Trends, New Frontiers And Opportunities, Michael P. Johnson Jr.
Michael P. Johnson
Emerging Trends And New Frontiers In Community Operational Research, 2017 University of Massachusetts Boston
Emerging Trends And New Frontiers In Community Operational Research, Michael P. Johnson Jr., Gerald Midgley, George Chichirau
Michael P. Johnson
Methods For Incorporating Ecological Impacts With Climate Uncertainty To Support Robust Flood Management Decision-Making, 2017 University of Massachusetts - Amherst
Methods For Incorporating Ecological Impacts With Climate Uncertainty To Support Robust Flood Management Decision-Making, Caitlin M. Spence
Doctoral Dissertations May 2014 - current
Modern and historic flood risk management involves accommodating multiple sources of sources of uncertainty and potential impacts across a broad range of interrelated sectors. Sources of uncertainty that affect planning include internal climate variability, anthropogenic changes such as land use and system performance expectations, and more recently changes in climatology that affect the resources supporting the system. Flood management systems potentially impact human settlements within and beyond the systems’ scope of planning, local weather patterns, and associated ecological systems. Federal guidelines across nations have called for greater consideration of uncertainty and impacts of water resources planning projects, but methods for ...
Adaptive Scheduling For Operating Room Management, 2017 University of Kentucky
Adaptive Scheduling For Operating Room Management, Honghan Ye
Theses and Dissertations--Mechanical Engineering
The perioperative process in hospitals can be modelled as a 3-stage no-wait flow shop. The utilization of OR units and the average waiting time of patients are related to makespan and total completion time, respectively. However, minimizations of makespan and total completion time are NP-hard and NP-complete. Consequently, achieving good effectiveness and efficiency is a challenge in no-wait flow shop scheduling. The average idle time (AIT) and current and future idle time (CFI) heuristics are proposed to minimize makespan and total completion time, respectively. To improve effectiveness, current idle times and future idle times are taken into consideration ...
Forecasting The Workload With A Hybrid Model To Reduce The Inefficiency Cost, 2017 University of Kentucky
Forecasting The Workload With A Hybrid Model To Reduce The Inefficiency Cost, Xinwei Pan
Theses and Dissertations--Mechanical Engineering
Time series forecasting and modeling are challenging problems during the past decades, because of its plenty of properties and underlying correlated relationships. As a result, researchers proposed a lot of models to deal with the time series. However, the proposed models such as Autoregressive integrated moving average (ARIMA) and artificial neural networks (ANNs) only describe part of the properties of time series. In this thesis, we introduce a new hybrid model integrated filter structure to improve the prediction accuracy. Case studies with real data from University of Kentucky HealthCare are carried out to examine the superiority of our model. Also ...
Order Picking Strategies For Healthcare Warehouses., 2016 University of Louisville
Order Picking Strategies For Healthcare Warehouses., Ehsan Khodabandeh
Electronic Theses and Dissertations
Order picking is the process of collecting goods and items in specified quantities from storage locations, in response to customer orders. Since many labor resources are involved in this process, finding ways to make it more efficient have been a primary goal for researchers and practitioners. Determining a better allocation of products to the storage areas, finding the best route and sequence to pick multiple products, and choosing the best picking policies to minimize congestion in the aisles are just a few of many objectives regarding order picking process. Due to regulatory compliances and the chance of product spoilage, additional ...
Optimization Models And Algorithms For Demand Response In Smart Grid., 2016 University of Louisville
Optimization Models And Algorithms For Demand Response In Smart Grid., Guangyang Xu
Electronic Theses and Dissertations
For demand response in smart grid, a utility company wants to minimize total electricity cost and end users want to maximize their own utility. The latter is considered to consist of two parts in this research: electricity cost and convenience/comfort. We first develop a system optimal (SO) model and a user equilibrium (UE) model for the utility company and end users, respectively and compare the difference of the two. We consider users' possible preference on convenience over cost-saving under the real-time pricing in smart grid, and each user is assumed to have a preferred time window for using a ...
Simulation Modeling For Energy Consumption Of Residential Consumers In Response To Demand Side Management., 2016 University of Louisville
Simulation Modeling For Energy Consumption Of Residential Consumers In Response To Demand Side Management., Prajwal Khadgi
Electronic Theses and Dissertations
Energy efficiency in the electricity distribution system continues to gain importance as demand for electricity keeps rising and resources keep diminishing. Achieving higher energy efficiency by implementing control strategies and demand response (DR) programs has always been a topic of interest in the electric utility industry. The advent of smart grids with enhanced data communication capabilities propels DR to be an essential part of the next generation power distribution system. Fundamentally, DR has the ability to charge a customer the true price of electricity at the time of use, and the general perception is that consumers would shift their load ...
A Mixed Integer Linear Programming Approach For Developing Salary Administration Systems, 2016 University of Tennessee, Knoxville
A Mixed Integer Linear Programming Approach For Developing Salary Administration Systems, Taner Cokyasar
Determining salary increases of executive personnel is a challenging decision process for many companies. Salary administration policies that aid in the determination of salary increases and other compensation benefits have a wide variety of advantages for both a company and its employees. This thesis develops a mathematical programming approach to create a salary administration system that recognizes the importance of performance and potential of employees for future promotions as major components of a salary increase policy for executive personnel. A number of companies all over the world use salary administration systems that integrate work performance and potential for advancement to ...
Integrating The Cost Of Quality Into Multi-Products Multi-Components Supply Chain Network Design, 2016 University of Tennessee, Knoxville
Integrating The Cost Of Quality Into Multi-Products Multi-Components Supply Chain Network Design, Waleed Abdussalam Gueir
More than ever before the success of a company heavily depends on its supply chain and how efficient the network. A supply chain needs to be configured in such a manner as to minimize cost while still maintaining a good quality level to satisfy the end user and to be efficient, designing for the network and the whole chain is important. Including the cost of quality into the process of designing the network can be rewording and revealing. In this research the concept of cost of quality as a performance measure was integrated into the supply chain network designing process ...
Safety Performance Prediction Of Large-Truck Drivers In The Transportation Industry, 2016 University of Arkansas, Fayetteville
Safety Performance Prediction Of Large-Truck Drivers In The Transportation Industry, Emily Moneka Francis Xavier
Theses and Dissertations
The trucking industry and truck drivers play a key role in the United States commercial transportation sector. Accidents involving large trucks is one such big event that can cause huge problems to the driver, company, customer and other road users causing property damage and loss of life. The objective of this research is to concentrate on an individual transportation company and use their historical data to build models based on statistical and machine learning methods to predict accidents. The focus is to build models that has high accuracy and correctly predicts an accident. Logistic regression and penalized logistic regression models ...
Optimal Demand Response Models With Energy Storage Systems In Smart Grids, 2016 University of South Florida
Optimal Demand Response Models With Energy Storage Systems In Smart Grids, Mohemmed Masooud Alhaider
Graduate Theses and Dissertations
This research aims to develop solutions to relieve system stress conditions in electric grids. The approach adopted in this research is based on a new concept in the Smart Grid, namely, demand response optimization. A number of demand response programs with energy storage systems are designed to enable a community to achieve optimal demand side energy management.
The proposed models aim to improve the utilization of the demand side energy through load management programs including peak shaving, load shifting, and valley lling. First, a model is proposed to nd the optimal capacity of the battery energy storage system (BESS) to ...
Pro Bono Analytics: A Program By Informs To Match Members Willing To Volunteer Their Analytical Skills With Nonprofit Organizations Working In Underserved Areas Or With Underserved Populations [Poster], 2016 University of Texas at Arlington
Pro Bono Analytics: A Program By Informs To Match Members Willing To Volunteer Their Analytical Skills With Nonprofit Organizations Working In Underserved Areas Or With Underserved Populations [Poster], Rina Schneur, Victoria Chen, Jim Cochran, Terry Cryan, Arnold Greenland, David Hunt, Michael P. Johnson Jr., Paul Rubin
Michael P. Johnson
Visualizing Complex Adaptive Systems: A Case Study Of The Missouri Maternal, Infant, And Early Childhood Home Visiting Program, 2016 University of Missouri School of Medicine
Visualizing Complex Adaptive Systems: A Case Study Of The Missouri Maternal, Infant, And Early Childhood Home Visiting Program, Julie M. Kapp, Sara Schlemper, Riyad Haq, Sofia Campos Vidal Pires, Eduardo J. Simoes
Frontiers in Public Health Services and Systems Research
Background: The Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program was created by the 2010 Patient Protection and Affordable Care Act. MIECHV provides comprehensive services to at-risk families through evidence-based home visiting programs.
Purpose: The following question is addressed: Does the Missouri MIECHV system meet the definition of a complex adaptive system (CAS)?
Methods: A systematic review was conducted of documents related to MIECHV programs (federal, state, and local levels), and to affiliated programs with a home visiting and early childhood (aged birth to 5 years) scope. The organizations’ fit was identified for the scope of early childhood home ...
Systems Theory Based Architecture Framework For Complex System Governance, 2016 Old Dominion University
Systems Theory Based Architecture Framework For Complex System Governance, Bry Carter
Engineering Management & Systems Engineering Theses & Dissertations
The purpose of this research was to develop a systems theory based framework for complex system governance using grounded theory approach. Motivation for this research includes: 1) the lack of research that identifies modeling characteristics for complex system governance, 2) the lack of a framework rooted in systems theory to support performance of complex system governance functions for maintaining system viability.
This research focused on answering: What systems theoretic framework can be developed to inform complex system governance and enable articulation of governance function performance? The grounded theory research approach utilized three phases. First, the literature in systems theory, management ...