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Articles 121 - 150 of 169

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Using An Ahp/Anp Hybrid Methodology For Freight Transport Networks Selection Towards Sustainable Transportation, Andrea M. Graham Jan 2012

Using An Ahp/Anp Hybrid Methodology For Freight Transport Networks Selection Towards Sustainable Transportation, Andrea M. Graham

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The selection of an effective transportation network for the transport of container freight is one of the most important factors in supply chain and logistics planning. The current transport networks, hub-and-spoke and point-to-point, although optimal in many aspects are still plagued with issues in route optimization, empty travel, and bad intermodal synchronization. The trucking industry, the most utilized of all modes, offers unsustainable components in its current state that continually introduce negative impacts to an ever evolving supply chain network. This research investigates a third potentially more sustainable distributed multi-segment transportation network. This network will be compared to the traditional …

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Constraint Optimal Selection Techniques (Costs) For Linear Programming, Goh Saito Jan 2012

Constraint Optimal Selection Techniques (Costs) For Linear Programming, Goh Saito

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Simplex pivoting algorithms remain the dominant approach to solve linear programming (LP) because they have advantages over interior-point methods. However, current simplex algorithms are often inadequate for solving a large-scale LPs because of their insufficient computational speeds. This dissertation develops the significantly faster simplex-based, active-set approaches called Constraint Optimal Selection Techniques (COSTs). COSTs specify a constraint-ordering rule based on constraints' likelihood of being binding at optimality, as well as a rule for adding constraints. In particular, new techniques for adding multiple constraints in an active-set framework, and an efficient constraint-ordering rule for LP are proposed. These innovations greatly reduce computation …

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Data Mining Based Threshold Development For Novelty Detection, Poovich Phaladiganon Jan 2012

Data Mining Based Threshold Development For Novelty Detection, Poovich Phaladiganon

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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 primary tool of SPC is a control chart that is used to monitor and detect abnormal processes. Traditional control chart techniques usually require a specific distributional assumption, typically the normal distribution, to establish their control limits. However, in modern manufacturing processes, the normality assumption is often violated. Novelty detection more generally seeks abnormal (or novel) patterns in data, and novelty detection techniques can be applied to control charts …

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Multivariate Modeling For A Multiple Stage, Multiple Objective Green Building Framework, Pin Kung Jan 2012

Multivariate Modeling For A Multiple Stage, Multiple Objective Green Building Framework, Pin Kung

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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 stage, multiple objective (MSMO) decision–making framework. The software eQUEST is utilized in a design and analysis of computer experiments (DACE) approach to study building options that potentially impact energy usage and cost metrics. The DACE approach uses experimental design and statistical analysis to uncover multivariate patterns that will provide guidance for green building decisions. The computer experiments execute the green building software tools ATHENA [11] and eQUEST [13]. The …

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The Art Of Microchannel Molding In Microscope Glass Slides, Sree Bhupathiraju Jan 2012

The Art Of Microchannel Molding In Microscope Glass Slides, Sree Bhupathiraju

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

This research is an effort to develop a new process by combining engineering principles with the history of glass art molding to develop clear micro-level test features in glass, for bio-medical and drug experiments dealing with cells, tissue, and micro-level organisms. Most of the present research in the bio-medical field involving micro-level cell and brain tissue testing is done using expensive glass or developed using Polydimethylsiloxane (PDMS) as the main material. Disadvantages of PDMS is that, over time the cell or blood tissue reacts with polymers causing a reduction in clarity making it difficult for a research scientist to observe …

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Adaptive Dynamic Programming For High-Dimensional, Multicollinear State Spaces, Bancha Ariyajunya Jan 2012

Adaptive Dynamic Programming For High-Dimensional, Multicollinear State Spaces, Bancha Ariyajunya

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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 many other fields. Exact solutions are only possible for small problems or under very limiting restrictions, but computationally practical approximate DP methods now exist. Most continuous-state problems require discretization of the state space. A design and analysis of computer experiments (DACE) approach for approximate DP uses experimental design and statistical modeling to approximate the value function in continuous-state problems. However, ideal experimental designs are orthogonal, and when the state variables …

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Cnt Reinforced Epoxy Foamed And Electrospun Nano-Fiber Interlayer Systems For Manufacturing Lighter And Stronger Featherweight Composites, Vasileios M. Drakonakis Jan 2012

Cnt Reinforced Epoxy Foamed And Electrospun Nano-Fiber Interlayer Systems For Manufacturing Lighter And Stronger Featherweight Composites, Vasileios M. Drakonakis

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Multiple works have been performed in improving carbon fiber reinforced polymer (CFRP) composites especially in terms of strength so delamination, which is the major defect in laminated composites, is prevented. Nevertheless, there is not much focus on improving conventional CFRP systems in terms of weight especially when these are used in primary structures. This work questions whether lighter and at the same time stronger CFRP composites can be manufactured in order to replace conventional CFRP systems in major applications. Under this perspective, this study demonstrates that inducing controlled porosity may offer a systemic approach for manufacturing light weight carbon fiber …

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Process Modeling System For Press Cure, Closed-Cavity Tooled Thick Composites, Arven H. Saunders Jan 2011

Process Modeling System For Press Cure, Closed-Cavity Tooled Thick Composites, Arven H. Saunders

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Thick structural composite parts often use press curing with closed-cavity tooling for achieving dimensional tolerances. A commonly encountered defect for these parts is fiber waviness, whick limits its structural strength. The yield for such parts often suffers due to trial and error methods used to develop successful cure processes. In addition, yield for these parts suffers due to material variation. The objectives of this research were to: develop and validate a simplified yet practical cure process model for press cured thick composite parts, utilize the model in order to seek time-efficient optimized cure processes, investigate the effects of material variation …

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Mixed Integer Programming Models For Selecting Ground-Level Ozone Control Strategies, Wei-Che Hsu Jan 2011

Mixed Integer Programming Models For Selecting Ground-Level Ozone Control Strategies, Wei-Che Hsu

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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 health and the environment. Ground–level ozone was one of the six criteria pollutants monitored by the EPA and considered the most widespread health threat. Two precursors of ground level ozone are nitrogen oxides (NOx) and volatile organic compounds (VOC) and the common sources of these two precursors include on–road vehicles, non–road engines, area sources, point sources, and biogenic and miscellaneous sources. An area …

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Multivariate Adaptive Regression Spline Based Framework For Statistically Parsimonious Adaptive Dynamic Programming, Subrat Sahu Jan 2011

Multivariate Adaptive Regression Spline Based Framework For Statistically Parsimonious Adaptive Dynamic Programming, Subrat Sahu

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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 approximation of the future value function. The exact DP algorithm seeks to compute and store a table consisting of one cost-to-go value for each point in the state space and its usefulness is limited by the curse of dimensionality, which renders the methodology computationally intractable in the face of real life problems with high dimensional state space and in the face of continuous state variables. ADP methodology …

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The Equivalence And Generalization Of Optimization Criteria, Surachai Charoensri Jan 2011

The Equivalence And Generalization Of Optimization Criteria, Surachai Charoensri

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

In this dissertation we first show that existing optimization criteria are equivalent to the maximization of a real-valued function in a one-dimensional Euclidean space. The criteria are said to be scalar equivalent. All solutions and only solutions to an optimization problem involving the original criterion can be obtained by scalarization without the typical convexity or concavity assumptions on the original objective functions and feasible region. Examples include Pareto (including the scalar case), satisficing, maximin, and cone-ordered optimization, as well as the more general notion of set-valued optimization in abstract spaces. Moreover, equivalences between various different optimization criteria are also established …

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Models For Evaluation Of Supply Chain Risk With Application To Healthcare Management, Ford Guangfu Zeng Jan 2011

Models For Evaluation Of Supply Chain Risk With Application To Healthcare Management, Ford Guangfu Zeng

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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 their own and their supplier's supply chain performance. To a large extent, much of this effort has been aimed at improving the efficiency of supply chain operations. However, organizations have ignored or played down the risks from supply chain disruptions when developing supply strategies, which focus on cost reduction. It is proposed, therefore, that one such standard measure should measure the risk involved with organizations …

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Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For Coal-Fired Power Plants, Passakorn Phananiramai Jan 2011

Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For Coal-Fired Power Plants, Passakorn Phananiramai

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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 formation and make people more susceptible to respiratory illness. The US Environmental Protection Agency (EPA) has steadily tightened the regulation for NOx emissions that can be discharged into the atmosphere. Many techniques and technologies can all assist with NOx removal. However, to meet upcoming EPA mandates, more aggressive technique such as Selective Catalytic Reduction (SCR) is highly recommended. SCR is an …

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Adaptive Pain Management Decision Support System, Ching-Feng Lin Jan 2010

Adaptive Pain Management Decision Support System, Ching-Feng Lin

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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 that considers a wide variety of treatments. Prior to treatment (stage 1), an evaluation records the patient's pain characteristics, medical history and related health parameters. A treatment regime is then determined. At the midpoint of their program (stage 2), an evaluation is conducted to determine if an adjustment in the treatment should be made. A final evaluation is conducted at the end of the program to assess final outcomes. The …

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Corporate Environmental Performance Rating Methodology, Arunapprakasini Sankaranarayanan Jan 2010

Corporate Environmental Performance Rating Methodology, Arunapprakasini Sankaranarayanan

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Environmental issues are becoming increasingly important to all kinds of stakeholders and companies themselves, not only for cost avoidance due to regulations, laws, cleanup costs, litigations, controversies, etc, but to improve their intrinsic ethical worth as a company for better environmental sustainability. Off late, companies are increasingly investing in environmental initiatives for cost savings and to generate profits as well. However, since no clear definition of greenness exists, companies are finding it difficult to measure environmental performance as an internal and external benchmark and hence a sound performance measurement system with formal guidelines is yet to be in place. What …

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Environmentally-Conscious Supply Chain Design In Support Of Food Security, Caroline C. Krejci, Benita M. Beamon Jan 2010

Environmentally-Conscious Supply Chain Design In Support Of Food Security, Caroline C. Krejci, Benita M. Beamon

Industrial, Manufacturing, and Systems Engineering Faculty Publications - Archive

This paper seeks to design food supply chain structures that can provide food security for every person in the world while supporting long-term environmental sustainability. In particular, we provide alternatives to the current food supply chain structure and analyze their potential for providing food security, in terms of productive capacity and long-term environmental sustainability. Given the current world population and expected continued growth, our analysis suggests that environmentally-sustainable food supply chains would be most effectively supported by local and organic agriculture, while maintaining a parallel industrial agricultural system. This hybrid system would adopt environmentally-sustainable principles whenever possible, seeking to increase …

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Time Depedent Queuing Models Of The National Airspace, Chatabush Roongrat Jan 2010

Time Depedent Queuing Models Of The National Airspace, Chatabush Roongrat

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Air transportation in the US system has dramatically changed in the past few decades. The National Airspace System (NAS) has increasingly become congested. A high volume of air traffic demand is one of the major challenges of the NAS. However, air traffic is very difficult to study due to many uncertainties involved. It is important that we be able to understand the relationship under uncertainties due to aviation operations, precision of navigation and control, and traffic flow efficiency. Many queuing models have been studied to better understand and quantify these relationships. In the past decade, most queuing network models assume …

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Integration Of Data Mining Algorithms And Control Charts For Multivariate And Autocorrelated Processes, Weerawat Jitpitaklert Jan 2009

Integration Of Data Mining Algorithms And Control Charts For Multivariate And Autocorrelated Processes, Weerawat Jitpitaklert

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The objective of this dissertation is to integrate state-of-the-art data mining algorithms with statistical process control (SPC) tools to achieve efficient monitoring in multivariate and autocorrelated process. Process monitoring and diagnosis have been widely recognized as important and critical tools in system monitoring for detection of abnormal behavior and quality improvement. Although traditional SPC tools are effective in simple manufacturing processes that generate a small volume of independent data, these tools are not capable of handling the large streams of multivariate and autocorrelated data found in modern manufacturing/service systems. As the limitations of SPC methodology become increasingly obvious in the …

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Designing Multi-Objective Reverse Logistics Networks Using Genetic Algorithms, Sanya Yimsiri Jan 2009

Designing Multi-Objective Reverse Logistics Networks Using Genetic Algorithms, Sanya Yimsiri

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Reverse logistics (RL) involves management of activities that include collection, sort/storage, transportation, recovery, disposal and re-distribution. The product return process is more complicated than forward logistics due to presence of multiple reverse distribution channels, individualized returns with small quantities, extended order cycles associated with product exchanges and a variety of recovery and disposition options. Reverse logistics has been gaining interest from many sectors due to rising costs, environmental concern and tougher regulations. As a result, good reverse logistics network design can help business save costs and meet their bottom lines in this competitive global environment. Most of the previous research …

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Performance Evaluation In Reverse Logistics With Data Envelopment Analysis, Ake Tonanont Jan 2009

Performance Evaluation In Reverse Logistics With Data Envelopment Analysis, Ake Tonanont

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Good reverse logistics design can save cost, increase revenues, and gain competitive edges over the rivals. Design of the optimized reverse supply chain model is a very important task to help enterprises save cost and gain benefits from their supply chains. In this study, reverse logistics is considered as a part of the Closed Loop Supply Chain (CLSC). CLSC combines forward and reverse flow together in the supply chain. Each component in a forward and reverse supply chain results in the efficiency of CLSC. Therefore, considering forward and reverse supply chain together as a CLSC will result in more benefits …

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Software Capacity Planning: A Methodology For A Portfolio Of High Technology Product Development Projects, Rajiv Malhotra Jan 2009

Software Capacity Planning: A Methodology For A Portfolio Of High Technology Product Development Projects, Rajiv Malhotra

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

High technology product development projects make extensive use of engineering software during the product development process. The suite of engineering software tools deployed during product development represents a significant portion of the product development costs. The ability to forecast the engineering software license capacity required to support product development plans is crucial for budgeting, return on investment (ROI) calculations, contract negotiations with the software suppliers, and the provision of an IT infrastructure necessary to support the execution of the software tools. This research shows that the usage of engineering application software in high technology is cyclical due to the characteristics …

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Novel Nonparametric Control Charts For Monitoring Multivariate Processes, Panitarn Chongfuangprinya Jan 2009

Novel Nonparametric Control Charts For Monitoring Multivariate Processes, Panitarn Chongfuangprinya

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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) is a set of procedures that uses statistical techniques to measure, analyze, and reduce process variation. A control chart, which is a special type of graph showing the results of periodic inspections over time, is the primary and most successful SPC tool in real-world applications. This dissertation proposes two nonparametric multivariate control charts based on (1) a support vector machines (SVM) algorithm and (2) a linkage ranking algorithm. The first …

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Unsupervised Data Mining Methods For Functional Data Analysis And Feature Selection, Panaya Rattakorn Jan 2009

Unsupervised Data Mining Methods For Functional Data Analysis And Feature Selection, Panaya Rattakorn

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The objective of this dissertation is to develop new unsupervised data mining methods for functional data analysis and feature selection. Unsupervised learning is a modeling process that facilitates the extraction of implicit patterns and elicits the natural groupings within the dataset without using any information from the output (response) variable. This dissertation consists of two main parts: (1) unsupervised clustering approaches for functional data analysis and (2) unsupervised feature selection. Functional data analysis has gained significant attention from a variety of disciplines. In this dissertation we propose an effective clustering procedure to categorize a number of profiles that are formed …

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Methodology To Forecast Product Returns For The Consumer Electronics Industry, Amit Potdar Jan 2009

Methodology To Forecast Product Returns For The Consumer Electronics Industry, Amit Potdar

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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 in an efficient way to gain competitive advantage. One important aspect of reverse logistics is to have a correct and timely estimation of the reverse flow of materials. Improved forecast accuracy leads to a better decision making in strategic, tactical and operational areas of an organization. Intrinsic (time series) and extrinsic (causal) forecasting are some of the well known and frequently used …

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Sealing And Lamination Of Microfluidic Devices, Christopher Ryan Oliver Aug 2008

Sealing And Lamination Of Microfluidic Devices, Christopher Ryan Oliver

Industrial, Manufacturing, and Systems Theses - Archive

A difficult problem facing microfluidic manufacturing of devices remains that often material requirements force device designers to choose materials that are difficult to bond, seal or enclose. Examples of these materials include the Polyolefin family such as HDPE (High Density Polyethylene), PP (Polypropylene) or high performance polymers such as PEEK (Polyetheretherketone), Acetal or Polyimide. The problem arises from the chemical resistance of the materials making them ideal for processing corrosive chemicals but the same property reduces the effectiveness of laminates, surface bonding, surface coatings and solvents. To address this problem a methodology for sealing devices made of these materials is …

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Sequential Frameworks For Statistics-Based Value Function Representation In Approximate Dynamic Programming, Huiyuan Fan Aug 2008

Sequential Frameworks For Statistics-Based Value Function Representation In Approximate Dynamic Programming, Huiyuan Fan

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Dynamic programming (DP) was derived by Bellman in 1957 as a mathematical programming method to solve multistage decision problems. The DP concept has great potential, but it only can solve small problems exactly under very limiting restrictions such as linear dynamics, quadratic cost, Gaussian random variable, etc. With advances in computational power, a new family of dynamic programming known as approximate dynamic programming (ADP) has emerged. A real-world DP problem is often high-dimensional and stochastic with continuous state variables. To handle this type of problem, ADP methods discretize/sample the continuous state space and approximate the future value (or cost-to-go) function …

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Material Flow Control In A Sequence Dependent Job Shop Via Order Release And Dispatching Mechanisms, Francesco Gentile Aug 2008

Material Flow Control In A Sequence Dependent Job Shop Via Order Release And Dispatching Mechanisms, Francesco Gentile

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Material flow control on the shop floor involves the release and dispatching of orders to meet customer due dates, while minimizing operating costs. The early release of orders to the shop floor does not necessarily ensure delivery performance and often results in unnecessary shop congestion and excessive cost. Thus, determining when order release should occur and how dispatching should be accomplished is critical to the success of a manufacturing organization. Although there has been a significant amount of research in the material flow control literature regarding the job shop environment, there exists a significant void with respect to order release …

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The Application Of Discrete-Event Simulation For Demining Strategy Evaluation, Hui-Chiao Jen May 2008

The Application Of Discrete-Event Simulation For Demining Strategy Evaluation, Hui-Chiao Jen

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Teams of mobile autonomous robots have been proposed for the detection and clearing of landmines. Several competing strategies for automated mine detection have been proposed. This paper will discuss the development of a tool that will support the quantitative analysis of various automated mine detection approaches used in Humanitarian Demining and Military Mine Field Breaching. The approaches used to model mine detection in a scout, breaching, and Humanitarian Demining scenario using a discrete-event simulation analysis tool are discussed. The model assumes that each UGV is autonomous rather than being directly controlled by a centralized command and control system. The algorithm …

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Methodology For Reverse Supply Chain Design In Consumer Electronics Industry, Santhanam Rajagopalan May 2008

Methodology For Reverse Supply Chain Design In Consumer Electronics Industry, Santhanam Rajagopalan

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

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 mainly due to the tighter federal environmental legislations on product returns and a hugely untapped potential that has been often overlooked by the managers. Traditionally, enterprises spend most of the improvement initiatives in optimizing its forward supply chain (FSC) performance that aims to delight the end consumer. However, it is not a panacea by itself in the process of continuously satisfying the end customer. …

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Data Mining-Driven Approahces For Process Monitoring And Diagnosis, Thuntee Sukchotrat Jan 2008

Data Mining-Driven Approahces For Process Monitoring And Diagnosis, Thuntee Sukchotrat

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The objective of this dissertation is to develop a new set of efficient process monitoring and diagnostic tools through their integration with data mining algorithms. Statistical process control (SPC) is one of the most widely used techniques for quality control. Although traditional SPC tools are effective in simple manufacturing processes that generate a small volume of independent data, these tools falter when confronted by the large streams of complex and correlated data found in modern manufacturing systems. As the limitations of SPC methodology become increasingly obvious in the face of ever more complex manufacturing processes, data mining, because of its …

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