Shop Scheduling In The Presence Of Batching, Sequence-Dependent Setups And Incompatible Job Families Minimizing Earliness And Tardiness Penalties,
2014
University of Central Florida
Shop Scheduling In The Presence Of Batching, Sequence-Dependent Setups And Incompatible Job Families Minimizing Earliness And Tardiness Penalties, Patricia Buchanan
Electronic Theses and Dissertations
The motivation of this research investigation stems from a particular job shop production environment at a large international communications and information technology company in which electro-mechanical assemblies (EMAs) are produced. The production environment of the EMAs includes the continuous arrivals of the EMAs (generally called jobs), with distinct due dates, degrees of importance and routing sequences through the production workstations, to the job shop. Jobs are processed in batches at the workstations, and there are incompatible families of jobs, where jobs from different product families cannot be processed together in the same batch. In addition, there are sequence-dependent setups between …
Successful Organizational Change: Aligning Change Type With Methods,
2014
University of Central Florida
Successful Organizational Change: Aligning Change Type With Methods, Serina Al-Haddad
Electronic Theses and Dissertations
The motivation behind this research is the prevalence of challenges and ambiguity associated with successful organizational change and the numerous available approaches in dealing with these challenges and ambiguity. Many definitions and methods have been suggested to manage change; however, organizations still report a high failure rate of their change initiatives. These high failure rates highlight the continuing need for research and investigation, and imply a lack of a valid framework for managing successful organizational change. This dissertation critically reviews the concept of having one change approach as the “silver-bullet”. In pursuit of this goal, this research contributes a roadmap …
Inventory Management Problem For Cold Items With Environmental And Financial Considerations,
2014
University of Central Florida
Inventory Management Problem For Cold Items With Environmental And Financial Considerations, Ali Hajiaghabozorgi
Electronic Theses and Dissertations
The overarching theme of this dissertation is analytically analyzing the cold supply chain from a financial and environmental perspective. Specifically, we develop inventory policy models in the cold supply chain that consider holding and transportation unit capacities. The models provide insights for the decision maker on the tradeoff between setting order quantities based on the cost or the emission function. In Chapter 2, we review two major bodies of literature: 1) supply chain design, and 2) sustainability in supply chain design. We benefit from this literature review to map the current body of research on traditional supply chain for further …
A Framework For Assessing The Quality And Effectiveness Of A National Employment System: A Case Study Of Saudi Arabia,
2014
University of Central Florida
A Framework For Assessing The Quality And Effectiveness Of A National Employment System: A Case Study Of Saudi Arabia, Hemaid Alsulami
Electronic Theses and Dissertations
National employment systems have been established in several countries to tackle the unemployment dilemma between citizens while the labor market flooded by expatriates. Lack of performance measurement indices among these systems caused failure to provide jobs to citizens and caused a state of confusion and dissatisfaction among employing entities. In Saudi Arabia, unemployment rate has increased in the last few decades and have since become a very political issue for the Saudi government. Compared to other countries, the problem is different since many expatriates in Saudi Arabia are already employed in their markets while citizens are seeking jobs. In Saudi …
A Design And Analysis Of Computer Experiments-Based Approach To Approximate Infinite Horizon Dynamic Programming With Continuous State Spaces,
2014
University of Texas at Arlington
A Design And Analysis Of Computer Experiments-Based Approach To Approximate Infinite Horizon Dynamic Programming With Continuous State Spaces, Asama Kulvanitchaiyanunt
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
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 "cost-to-go' function. This method is useful when considering a few states and decisions. However, when dealing with high-dimensional data set with continuous state space, the limit called 'curse of dimensionality' obstructs the solution as the size of the state space grows exponentially. Given recent advances in computational power, approximate dynamic programming (ADP) is introduced by not seeking to compute the future value function exactly and at each …
Inventory Pooling In Petroleum Upstream Logistics Network,
2014
University of Texas at Arlington
Inventory Pooling In Petroleum Upstream Logistics Network, Sulaiman Hamad Al Jedaie
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The petroleum industry is heading toward the era of efficiency and cost reduction. Oilfield service companies have to raise their efficiency to stay competitive. This dissertation explores the efficiency issues facing an existing upstream petroleum logistics network, with 30 products, 30 countries and two hubs, for an international Oilfield Service Company (OSC). Inventory control was found to be a main source for inefficiency. Safety stock was studied by implementing inventory pooling concept, joint ordering, demand outliers analysis, demand bucket size analysis and regional distribution centers.Six-sigma (DMAIC) approach was used to diagnose the issues in this network and propose alternative solutions. …
Unmanned Aerial Vehicle Routing In The Presence Of Threats,
2014
University of Texas at Arlington
Unmanned Aerial Vehicle Routing In The Presence Of Threats, Kamil A. Alotaibi
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The use of Unmanned Aerial Vehicles (UAVs) and the importance of its role have evolved and increased recently in both civilian and military operations. In this research, we study the routing of Unmanned Aerial Vehicles (UAVs) in the presence of the risk of enemy threats. The main goal for this research is to find optimal routes that consider the targets visited, expected fuel burn, threat exposure, and travel time. We formulate two mixed integer linear programs. In first formulation, we minimize the total expected fuel burn for multiple UAVs in order to visit multiple targets while maintaining the total threat …
An Exploration And Exploitation Pareto Approach To Surrogate Optimization,
2014
University of Texas at Arlington
An Exploration And Exploitation Pareto Approach To Surrogate Optimization, John F. Dickson
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
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 evaluations of thecomputer model. This research focuses on developing an optimization method to find aglobally optimal solution efficiently using surrogates. The surrogates represent thecomputer model or the system that reads the inputs and generates the output responsesof interest, so that these surrogate models can be used in place of time-consumingsimulations runs. In surrogate based optimization, we iteratively build a surrogate model(a.k.a, approximate model or a metamodel) and conduct an …
A Systems Thinking Approach To Apply Water Sustainability In Hospitals,
2014
University of Texas at Arlington
A Systems Thinking Approach To Apply Water Sustainability In Hospitals, Misagh Faezipour
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
One of the most critical challenges the world is facing is to ensure everyone has access to an adequate and quality supply of water. As the population increases, the demand for water rises. Water needs to be sustained for current and future generations. Sustainability acts to balance the resource supply and demand. Hospitals are a major consumer of water. Unfortunately water is facing the challenges of diminishing resources and increasing demands. Therefore, considering water sustainability in hospitals is of significant importance. Water sustainability in hospitals is also important since hospitals offer services to help people improve the quality and health …
Evaluating The Impact Of A Shared Pharmaceutical Supply Chain Model To Minimize Counterfeit Drugs, Diverted Drugs, And Drug Shortages,
2014
University of Texas at Arlington
Evaluating The Impact Of A Shared Pharmaceutical Supply Chain Model To Minimize Counterfeit Drugs, Diverted Drugs, And Drug Shortages, Jae Bong Choi
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The pharmaceutical supply chain in the United States of America (USA) is getting complicated and is often not controllable due to a globally open market, increasing online market, and many illegal activities. Consumers who cannot afford to buy high priced genuine products are tempted by easily accessible counterfeit drugs on illegal web site pharmacies in or out of the USA. Many corrupt participants, such as wholesalers or pharmacies in the supply chain, take advantage of weak enforcement and a flawed drug supply chain for financial gain. The public health system and numerous patients are in, or could be in, painful …
Facility Capital Equipment And Labor Decision Support System Using A Discrete-Event Simulation And Bottleneck Detection Approach,
2014
University of Texas at Arlington
Facility Capital Equipment And Labor Decision Support System Using A Discrete-Event Simulation And Bottleneck Detection Approach, Mohammed Almansouri
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Market demand is constantly changing. Therefore, it is critical for companies to be flexible and willing to adapt in order to remain competitive. This study will evaluate bottleneck detection techniques that have been identified in previous research by comparing the performance of each method on all case study models that can be replicated from the literature. The purpose of this analysis is to identify the most efficient and reliable bottleneck detection algorithm(s) which are capable of supporting constraint identification on a wide range of production system classes and configurations. The primary objective will be to identify a robust bottleneck detection …
Interpolation-Based Super-Resolution Reconstruction: Effects Of Slice Thickness,
2014
Wright State University - Main Campus
Interpolation-Based Super-Resolution Reconstruction: Effects Of Slice Thickness, Amir Pasha Mahmoudzadeh, Nasser H. Kashou
Biomedical, Industrial & Human Factors Engineering Faculty Publications
Standard clinical magnetic resonance imaging (MRI) is acquired in two-dimensions where the in-plane resolution is higher than the slice select direction. These acquisitions include axial, coronal, and sagittal planes. To date, there have been few attempts to combine the information of these three orthogonal orientations. This paper aims to take advantage of the different in-plane resolution acquired from each plane orientation and combine them into one volume in order to attain a higher resolution image. This combination of MRI data will allow the detection of smaller areas that would otherwise be missed using only one slice orientation. A comparison of …
An Unsupervised Consensus Control Chart Pattern Recognition Framework,
2014
University of Central Florida
An Unsupervised Consensus Control Chart Pattern Recognition Framework, Siavash Haghtalab
Electronic Theses and Dissertations
Early identification and detection of abnormal time series patterns is vital for a number of manufacturing. Slide shifts and alterations of time series patterns might be indicative of some anomaly in the production process, such as machinery malfunction. Usually due to the continuous flow of data monitoring of manufacturing processes requires automated Control Chart Pattern Recognition(CCPR) algorithms. The majority of CCPR literature consists of supervised classification algorithms. Less studies consider unsupervised versions of the problem. Despite the profound advantage of unsupervised methodology for less manual data labeling their use is limited due to the fact that their performance is not …
Phase I Monitoring With Applications In Manufacturing And Healthcare,
2014
University of Texas at Arlington
Phase I Monitoring With Applications In Manufacturing And Healthcare, Smriti Neogi
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
This research develops statistical methods for quality monitoring in complex systems. Quality monitoring typically consists of two phases called Phase I analysis (or offline monitoring) and Phase II analysis (or online monitoring). This research is focused on Phase I monitoring. Two application areas are considered, complex manufacturing processes and healthcare delivery processes. In the first application, a robust strategy for Phase I analysis of optical profiles in low-E glass manufacturing is developed. The proposed approach aims to solve the problems such as violation of normality, high dimensionality, detection of multiple change points, etc. It will provide a convenient process monitoring …
Fast Feature Selection In A Gpu Cluster Using The Delta Test,
2014
Missouri University of Science and Technology
Fast Feature Selection In A Gpu Cluster Using The Delta Test, Alberto Guillén, M. Isabel García Arenas, Mark Van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Engineering Management and Systems Engineering Faculty Research & Creative Works
Feature or Variable Selection Still Remains an Unsolved Problem, Due to the Infeasible Evaluation of All the Solution Space. Several Algorithms based on Heuristics Have Been Proposed So Far with Successful Results. However, These Algorithms Were Not Designed for Considering Very Large Datasets, Making their Execution Impossible, Due to the Memory and Time Limitations. This Paper Presents an Implementation of a Genetic Algorithm that Has Been Parallelized using the Classical Island Approach, But Also Considering Graphic Processing Units to Speed Up the Computation of the Fitness Function. Special Attention Has Been Paid to the Population Evaluation, as Well as to …
Long-Term Time Series Prediction Using Op-Elm,
2014
Missouri University of Science and Technology
Long-Term Time Series Prediction Using Op-Elm, Alexander Grigorievskiy, Yoan Miche, Anne Mari Ventelä, Eric Séverin, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
In This Paper, an Optimally Pruned Extreme Learning Machine (Op-Elm) is Applied to the Problem of Long-Term Time Series Prediction. Three Known Strategies for the Long-Term Time Series Prediction I.e. Recursive, Direct and Dirrec Are Considered in Combination with Op-Elm and Compared with a Baseline Linear Least Squares Model and Least-Squares Support Vector Machines (Ls-Svm). among These Three Strategies Dirrec is the Most Time Consuming and its Usage with Nonlinear Models Like Ls-Svm, Where Several Hyperparameters Need to Be Adjusted, Leads to Relatively Heavy Computations. It is Shown that Op-Elm, Being Also a Nonlinear Model, Allows Reasonable Computational Time for …
Conquering Complexity: Challenges And Opportunities: Preface,
2014
Missouri University of Science and Technology
Conquering Complexity: Challenges And Opportunities: Preface, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
No abstract provided.
How To Rein In The Volatile Actor: A New Bounded Perspective,
2014
Missouri University of Science and Technology
How To Rein In The Volatile Actor: A New Bounded Perspective, Abhijit Gosavi
Engineering Management and Systems Engineering Faculty Research & Creative Works
Actor-critic algorithms are amongst the most well-studied reinforcement learning algorithms that can be used to solve Markov decision processes (MDPs) via simulation. Unfortunately, the parameters of the so-called "actor" in the classical actor-critic algorithm exhibit great volatility - getting unbounded in practice, whence they have to be artificially constrained to obtain solutions in practice. The algorithm is often used in conjunction with Boltzmann action selection, where one may have to use a temperature to get the algorithm to work, but the convergence of the algorithm has only been proved when the temperature equals 1. We propose a new actor-critic algorithm …
Carbon Constrained Integrated Inventory Control And Truckload Transportation With Heterogeneous Freight Trucks,
2014
Missouri University of Science and Technology
Carbon Constrained Integrated Inventory Control And Truckload Transportation With Heterogeneous Freight Trucks, Dinçer Konur
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper analyzes an integrated inventory control and transportation problem with environmental considerations. Particularly, explicit transportation modeling is included with inventory control decisions to capture per truck costs and per truck capacities. Furthermore, a carbon cap constraint on the total emissions is formulated by considering emission characteristics of various trucks that can be used for inbound transportation. Due to complexity of the resulting optimization problem, a heuristic search method is proposed based on the properties of the problem. Numerical studies illustrate the efficiency of the proposed method. Furthermore, numerical examples are presented to show that both costs and emissions can …
Study Of The Use Of A Genetic Algorithm To Improve Networked System-Of-Systems Resilience,
2014
Missouri University of Science and Technology
Study Of The Use Of A Genetic Algorithm To Improve Networked System-Of-Systems Resilience, Charles O. Adler, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Large scale failures or degradation resulting from smaller initial failures or disruptions in networked system-of-systems are an issue in multiple areas - for example cascading failures in electrical power grids or large disruptions in national air traffic due to local or regional weather conditions. The system architecture can have a significant impact on system-of-systems susceptibility to large scale failures. The study presented in this paper uses a simple interdependent networked system-of-systems failure model, integrated into a unique objective function that addresses both the overall level of failure and the rate of failure progression, and a genetic algorithm to demonstrate an …
