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Missouri University of Science and Technology

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Articles 481 - 510 of 839

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

A Value Model For Product Development Process Using Lean Principles, Salik Yadav Jan 2010

A Value Model For Product Development Process Using Lean Principles, Salik Yadav

Masters Theses

"This research presents a value quantification model for multi-stage product development Process (PDP) using lean value principles. The PDP stages considered in this research include conceptual development, systems design, detailed design and prototyping stages. The value at any of the PDP stages is formulated as a function of six factors: (a) importance of customer requirements, (b) cost of customer's ownership, (c) parts/service availability, (d) weighted average cost of capital, (e) information evolution, and (f) risk reduction. Factors (a)-(d) are adequately addressed in the literature. This study focuses on information evolution and risk reduction factors. These two factors are defined by …

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An Analysis Of The Integration Of Lean And Safety, Pankaj Mahesh Pai Jan 2010

An Analysis Of The Integration Of Lean And Safety, Pankaj Mahesh Pai

Masters Theses

"The lean philosophy has proven potential to help businesses improve productivity and reduce its losses. Lean can give businesses a cutting edge in this age of global competition. The fundamental principle of lean is to identify wastes in the system and reduce or eliminate them. There is a concern that during lean implementations, the focus on productivity may result in health and safety issues being ignored or worse, changes driven by lean may introduce new hazards. The relationship between lean and safety is not clearly understood. Lean and safety should be compatible. Both strive to improve processes. Both are against …

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Strategic Process Integration Of Energy And Environmental Systems In Wastewater Treatment Plants, Bharath Kumar Gangichetty Jan 2010

Strategic Process Integration Of Energy And Environmental Systems In Wastewater Treatment Plants, Bharath Kumar Gangichetty

Masters Theses

"Green environmental practices are increasingly important in combating serious global energy and environmental issues. Most wastewater treatment facilities were built when energy costs were not a concern; however, an increasing demand for energy, changing climatic conditions, and constrained energy supplies have resulted in the need to apply more energy-conscious choices in the maintenance or upgrade of existing wastewater treatment facilities. A detailed analysis of the majority of water and wastewater treatment services shows that most facilities operate far below the efficiency levels needed for effective energy use. Failure to comply with regulated environmental standards is also a problem. Although standards …

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Strategic Criteria For Evaluating Inland Freight Hub Locations, Robert Tyler Lipscomb Jan 2010

Strategic Criteria For Evaluating Inland Freight Hub Locations, Robert Tyler Lipscomb

Masters Theses

"The aim of this thesis is to develop criteria that can be used to evaluate the current capabilities and sustainability of inland freight hubs. A review of the literature highlights the need for a more efficient freight distribution system to combat supply chain deficiencies and the important role that inland freight hubs play in creating this system. Also in the literature is a call for a more comprehensive approach to hub development decisions and the use of multi-criteria decision analysis. The decision to devote resources to logistics developments in a specific region must consider many factors that are both quantitative …

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The Effects Of Personal Protective Equipment Level A Suits On Human Task Performance, Yvette L. Simon Jan 2010

The Effects Of Personal Protective Equipment Level A Suits On Human Task Performance, Yvette L. Simon

Masters Theses

"First response teams dealing with hazardous substances often require the highest level of protection provided by Level A suits. These suits are fully encapsulating, bulky, and heat retentive. The effect of these suits on the wearer's ability to perform various tasks is of interest when it comes to human performance analysis. This research effort examined the effect of the Level A suit on fine motor and gross motor dexterity. Seven members of the National Guard's Civil Support Team (CST) performed a battery of six tasks designed to test these abilities. Tasks comprised the Minnesota Dexterity test and the Mirror Tracer …

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Incorporating New Technology Into Healthcare: An Analysis Of Performance, Acceptance, And Safety, Anthony Joseph Strawhun Jan 2010

Incorporating New Technology Into Healthcare: An Analysis Of Performance, Acceptance, And Safety, Anthony Joseph Strawhun

Masters Theses

"Each year, advances in the healthcare industry allows for better patient care and increased ability to save lives. Looking at standardized and common healthcare devices for both inside and outside the hospital environment, this research studied the tradeoffs and human factors that affect operator performance and patient survival. This research studied the impact of human factors and technology in the development and implementation of the automated external defibrillator for out-of-hospital use and the incremental advantages of SMArT infusion pump technology over traditional intravenous infusion pumps for in-hospital care. The study highlights the complex human factors of both products and establishes …

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The Marketing Value Of Graduate Certificate Programs In Higher Education: A Strategic Assessment, Susmitha Akula Jan 2010

The Marketing Value Of Graduate Certificate Programs In Higher Education: A Strategic Assessment, Susmitha Akula

Masters Theses

"The last five years have seen a significant increase in the popularity of non degree graduate certificates. This increase has raised questions about the value of graduate certificate programs from the perspective of students, alumni and industry employers. Do certificate programs provide real world skills and knowledge valuable to industry? Do they serve as effective recruiting tools for the university? Do they provide opportunities for students to meet their professional goals in terms of salary increase, promotions, and the like? The present research is specifically aimed at answering these questions. Surveys that assess perceptions of value of graduate certificates to …

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Establishing Workload Limitations For Application In Human Systems Integration, Muhammet Servet Gulum Jan 2010

Establishing Workload Limitations For Application In Human Systems Integration, Muhammet Servet Gulum

Masters Theses

"As the amount of technology involved in the typical workplace increases and standard operational procedures become increasingly sophisticated the danger of overloading an operator's mental resources is increasing. As much as these technological developments help operators with daily tasks, for example by providing information via monitors and wireless headsets; it also increased the mental workload due to the bombardment of information. Mental workload is commonly associated with information processing tasks, limits. With all the extra information inputs it is difficult to set limits where excessive information becomes dangerous. The workload optimization is critical as it directly affects system performance and …

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Using Value Stream Mapping For Cost Modeling, Emily Marie Tucker Jan 2010

Using Value Stream Mapping For Cost Modeling, Emily Marie Tucker

Masters Theses

"This thesis presents an effective cost model for the Selective Laser Sintering (SLS) process used in additive manufacturing practices. The various factors that influence the total cost of a build on both small and large frame machines are discussed. These attributes, which include labor and overhead rates, material costs, and process times, combine to generate the driving force behind a manufacturer's decision to use the small or large SLS machine for mass production. By developing and evaluating a current state value stream map for the small SLS machine, a financial analysis of the SLS process can be performed. By assigning …

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Simulation Prototyping Of An Experimental Solar House, Anna Osborne, Stuart Baur, Katie Grantham Jan 2010

Simulation Prototyping Of An Experimental Solar House, Anna Osborne, Stuart Baur, Katie Grantham

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This paper presents a comparative analysis between an energy simulation model and an actual solar home. the case study used was the Team Missouri's 2009 Solar Decathlon entry. the home was evaluated using the predicted data developed with the use of Energy-10 Version 1.8. the software simulates the energy use performance of building strategies ranging from building envelope and system efficiency options. the performance data used was collected during the 2009 Solar Decathlon competition. Results comparing energy efficient strategies, consumption and generation are explored with future implications discussed. © 2010 by the authors.

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Application Of Quality Engineering To Investment Portfolio Selection And Optimization, Vivek Kulinchandra Jikar Jan 2010

Application Of Quality Engineering To Investment Portfolio Selection And Optimization, Vivek Kulinchandra Jikar

Doctoral Dissertations

"The Taguchi System of Quality Engineering (TSQE) is a widely accepted philosophy and set of tools and techniques to rapidly design and manufacture high quality, low cost products and services. It is heavily focused on creating stable system designs that allow a product or system to perform as desired by customers in the environment of their choice. This research demonstrates the power of the TSQE to manage an investment portfolio. In particular, it uses the concept of design stability to select investments and optimize portfolios. It proposes a new design stability-based investment screening metric and discusses its application. Further, this …

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Sensor Data-Based Decision Making, Ahmet Soylemezoglu Jan 2010

Sensor Data-Based Decision Making, Ahmet Soylemezoglu

Doctoral Dissertations

"Increasing globalization and growing industrial system complexity has amplified the interest in the use of information provided by sensors as a means of improving overall manufacturing system performance and maintainability. However, utilization of sensors can only be effective if the real-time data can be integrated into the necessary business processes, such as production planning, scheduling and execution systems. This integration requires the development of intelligent decision making models that can effectively process the sensor data into information and suggest appropriate actions. To be able to improve the performance of a system, the health of the system also needs to be …

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Emerging Technology Supply Chain Model For Additive Manufacturing, David M. Dietrich Jan 2010

Emerging Technology Supply Chain Model For Additive Manufacturing, David M. Dietrich

Doctoral Dissertations

"This research concerns developing an emerging manufacturing technology, additive manufacturing (AM), into a mature and flexible, cost-effective supply chain for aerospace production. The field of additive manufacturing is an approach to low volume manufacturing of plastic or metal parts using three dimensional Computer Aided Design data. As an emerging technology, AM's supply chain is not established compared to conventional aerospace manufacturing technologies, such as injection molding or composite manufacturing. Technical and business challenges limit the robustness of the additive manufacturing system for aerospace applications. The overall intent of this research is to: first, provide an introduction to two main polymer …

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An Environment That Fosters Shared Leadership And The Effects On Engineering Education: An Analysis And Proposed Structure, Brian J. Galli, Ray Luechtefeld Dec 2009

An Environment That Fosters Shared Leadership And The Effects On Engineering Education: An Analysis And Proposed Structure, Brian J. Galli, Ray Luechtefeld

Engineering Management and Systems Engineering Faculty Research & Creative Works

Engineers must not only have design and technical skills, but they must also possess the ability to work in and lead teams, adopt and adapt to change, and act as leaders who can think in terms of the bigger picture. to develop these skills, engineering students must be actively involved in their education and trained to continually learn. Many engineering students have become accustomed to traditional forms of education, which can lead to passivity and dependence on faculty to tell them what to know and why they need to know it. Research in organizational behavior suggests a solution can lie …

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Risk Matrix Input Data Biases, Eric D. Smith, William T. Siefert, David Drain Dec 2009

Risk Matrix Input Data Biases, Eric D. Smith, William T. Siefert, David Drain

Engineering Management and Systems Engineering Faculty Research & Creative Works

Risk matrices used in industry characterize particular risks in terms of the likelihood of occurrence, and the consequence of the actualized risk. Human cognitive bias research led by Daniel Kahneman and Amos Tversky exposed systematic translations of objective probability and value as judged by human subjects. Applying these translations to the risk matrix allows the formation of statistical hypotheses of risk point placement biases. Industry-generated risk matrix data reveals evidence of biases in the judgment of likelihood and consequence-principally, likelihood centering, a systematic increase in consequence, and a diagonal bias. Statistical analyses are conducted with linear regression, normal distribution fitting, …

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Reinforcement Learning For Model Building And Variance-Penalized Control, Abhijit Gosavi Dec 2009

Reinforcement Learning For Model Building And Variance-Penalized Control, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

Reinforcement learning (RL) is a simulation-Based technique to solve Markov decision problems or processes (MDPs). It is especially useful if the transition probabilities in the MDP are hard to find or if the number of states in the problem is too large. in this paper, we present a new model-Based RL algorithm that builds the transition probability model without the generation of the transition probabilities; the literature on model-Based RL attempts to compute the transition probabilities. We also present a variance-penalized Bellman equation and an RL algorithm that uses it to solve a variance-penalized MDP. We conclude with some numerical …

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The Part Count Tool (Pact) For Concept Selection, Tarang Parashar, Katie Grantham Lough, Robert B. Stone Dec 2009

The Part Count Tool (Pact) For Concept Selection, Tarang Parashar, Katie Grantham Lough, Robert B. Stone

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper presents a part count tool that automates the consideration of manufacturing cost during the conceptual design phase by predicting part count for a particular product concept. with an approximate number of parts per product in the conceptual design phase, the designer can estimate the cost associated with the product. on the basis of the cost, the designer can make changes according to budget requirements. the part count tool will also aid in ranking the design concepts by number of components for a product. This tool utilizes existing automated concept generation algorithms to generate the design concepts. It extracts …

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E-Design Tool For Friction Stir Welding, Harish Bagaitkar, Venkat Allada Dec 2009

E-Design Tool For Friction Stir Welding, Harish Bagaitkar, Venkat Allada

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper describes efforts to develop a web-Based E-Design tool for the Friction Stir Welding (FSW) technique. the input parameters to the E-Design tool are the joint specifications. the output parameters of the E-Design tool are process parameters such as tool geometry details, tool rpm, and plunge depth. the heart of the E-Design tool is the FSW database. the FSW database contains mappings of various input parameters and output parameters that are captured by referring to various experimental studies cited in the literature. the proposed E-Design tool deals with lap joints and butt joints between similar aluminum alloys. Copyright © …

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On The Statistical Estimation Of Rényi Entropies, Elia Liitiäinen, Amaury Lendasse, Francesco Corona Dec 2009

On The Statistical Estimation Of Rényi Entropies, Elia Liitiäinen, Amaury Lendasse, Francesco Corona

Engineering Management and Systems Engineering Faculty Research & Creative Works

Estimating Entropies is Important in Many Fields Including Statistical Physics, Machine Learning and Statistics. While the Shannon Logarithmic Entropy is the Most Fundamental, Other Rényi Entropies Are Also of Importance. in This Paper, We Derive a Bias Corrected Estimator for a Subset of Rényi Entropies. the Advantage of the Estimator is Demonstrated Via Theoretical and Experimental Considerations. © 2009 IEEE.

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Long-Term Prediction Of Time Series By Combining Direct And Mimo Strategies, Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse Nov 2009

Long-Term Prediction Of Time Series By Combining Direct And Mimo Strategies, Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Reliable and Accurate Prediction of Time Series over Large Future Horizons Has Become the New Frontier of the Forecasting Discipline. Current Approaches to Long-Term Time Series Forecasting Rely Either on Iterated Predictors, Direct Predictors Or, More Recently, on the Multi-Input Multi- Output (MIMO) Predictors. the Iterated Approach Suffers from the Accumulation of Errors, the Direct Strategy Makes a Conditional Independence Assumption, Which Does Not Necessarily Preserve the Stochastic Properties of the Time Series, While the MIMO Technique is Limited by the Reduced Flexibility of the Predictor. the Paper Compares the Direct and MIMO Strategies and Discusses their Respective Limitations to …

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Reinforcement-Learning-Based Output-Feedback Control Of Nonstrict Nonlinear Discrete-Time Systems With Application To Engine Emission Control, Peter Shih, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier Oct 2009

Reinforcement-Learning-Based Output-Feedback Control Of Nonstrict Nonlinear Discrete-Time Systems With Application To Engine Emission Control, Peter Shih, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier

Electrical and Computer Engineering Faculty Research & Creative Works

A novel reinforcement-learning-based output adaptive neural network (NN) controller, which is also referred to as the adaptive-critic NN controller, is developed to deliver the desired tracking performance for a class of nonlinear discrete-time systems expressed in nonstrict feedback form in the presence of bounded and unknown disturbances. The adaptive-critic NN controller consists of an observer, a critic, and two action NNs. The observer estimates the states and output, and the two action NNs provide virtual and actual control inputs to the nonlinear discrete-time system. The critic approximates a certain strategic utility function, and the action NNs minimize the strategic utility …

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Design Of Experiments As A Means Of Lean Value Delivery To The Flight Test Enterprise, Aaron A. Tucker, Cihan H. Dagli Sep 2009

Design Of Experiments As A Means Of Lean Value Delivery To The Flight Test Enterprise, Aaron A. Tucker, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Modern flight test tends to be a complex, expensive undertaking, so any increases in efficiency would result in considerable savings. Lean thinking is an effective method to identify value and eliminate waste and is particularly effective when applied to the entire flight test enterprise. Design of experiments is a statistical methodology that results in highly efficient flight test where only the samples needed are collected and analyzed. the application of design of experiments to flight test's value stream can result in a significant increase in lean value to the stakeholders and a reduction of waste. Design of experiments uses objective, …

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Using Abet Assessment Requirements As A Catalyst For Change: Enhancing And Streamlining The Engineering Management Undergraduate Program At Missouri S&T, Stephen A. Raper, Susan L. Murray, Christa Moll Weisbrook, William Daughton Jun 2009

Using Abet Assessment Requirements As A Catalyst For Change: Enhancing And Streamlining The Engineering Management Undergraduate Program At Missouri S&T, Stephen A. Raper, Susan L. Murray, Christa Moll Weisbrook, William Daughton

Engineering Management and Systems Engineering Faculty Research & Creative Works

The Engineering Management (EM) undergraduate degree program at Missouri University of Science & Technology (formerly University of Missouri-Rolla) was the first program of its kind. The program started over 40 years ago and it is one of only five ABET accredited undergraduate EM programs [1]. The initial degree program included a senior year of management courses in conjunction with three years of courses in common engineering disciplines such as mechanical, electrical, and civil engineering. In the 1990s the program underwent a major restructure and students combined core engineering management classes with an emphasis area inside the department. Industrial, manufacturing, packaging, …

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What New Faculty Need To Know, But Don't Know To Ask, Susan L. Murray, Elizabeth A. Cudney, Suzanna Long, Katie Grantham Jun 2009

What New Faculty Need To Know, But Don't Know To Ask, Susan L. Murray, Elizabeth A. Cudney, Suzanna Long, Katie Grantham

Engineering Management and Systems Engineering Faculty Research & Creative Works

A smooth transition to life at an academic institution and the surrounding community is essential to the professional careers of new faculty members. The transition begins during the hiring process and startup package negotiations. Once at an institution, aspects of academia including teaching, proposal writing, and the tenure process inevitably generate issues and concerns for new faculty members. Research has shown that mentoring new faculty members early in their academic career can have significant impact on professional success. This is especially true at a research-based institution where the demands of funded scholarship add an extra level of complexity. A survey …

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Neural Network Control Of Mobile Robot Formations Using Rise Feedback, Jagannathan Sarangapani, Travis Alan Dierks Apr 2009

Neural Network Control Of Mobile Robot Formations Using Rise Feedback, Jagannathan Sarangapani, Travis Alan Dierks

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, an asymptotically stable (AS) combined kinematic/torque control law is developed for leader-follower-based formation control using backstepping in order to accommodate the complete dynamics of the robots and the formation, and a neural network (NN) is introduced along with robust integral of the sign of the error feedback to approximate the dynamics of the follower as well as its leader using online weight tuning. It is shown using Lyapunov theory that the errors for the entire formation are as and that the NN weights are bounded as opposed to uniformly ultimately bounded stability which is typical with most …

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Multi-Objective Stochastic Heuristic Methodology For Tradespace Exploration Of A Network Centric System Of Systems, Atmika Singh, Cihan H. Dagli Mar 2009

Multi-Objective Stochastic Heuristic Methodology For Tradespace Exploration Of A Network Centric System Of Systems, Atmika Singh, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

System of systems (SoS) architecting techniques rely on traditional, static tools that were designed for classical stove-piped systems. There is a need for tools that can capture the complex adaptive nature of such SoS. An architecture search methodology using genetic algorithms and a fuzzy assessor was applied to the conceptual architecture design of a generic smart grid and a set of architectures with high fitness was obtained. This set of architectures is intended to serve as a starting point for a systems architect to ultimately be able to converge on the best system design. The SoS architecting process has largely …

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Design Complexity And Its Relationship With Sn Ratio - Larger-The-Better Characteristics With Finite Target, Naresh K. Sharma, Elizabeth A. Cudney, Sonali Sharma Jan 2009

Design Complexity And Its Relationship With Sn Ratio - Larger-The-Better Characteristics With Finite Target, Naresh K. Sharma, Elizabeth A. Cudney, Sonali Sharma

Engineering Management and Systems Engineering Faculty Research & Creative Works

The concept of complexity is an essential constituent of axiomatic design and axiomatic quality. a reciprocal transformation is used to compute quality loss for larger-the-better performance characteristics in Taguchi's methodology. El-Haik's work on connecting robust design and axiomatic design with the help of mathematical relationships also considers the reciprocal methodology for larger-the-better functional requirements. Because of reciprocal transformation axiomatic complexity formulation for larger-the-better performance characteristics is different from that for smaller-the-better and nominal-the-best characteristics. Second, the signal-to-noise ratio based on complexity is also different for the same reason. This paper shows that a simple linear transformation in which a finite …

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Using Extensible Modeling In Systems Engineering And Architectural Search, Jason Paul Dauby, Cihan H. Dagli Jan 2009

Using Extensible Modeling In Systems Engineering And Architectural Search, Jason Paul Dauby, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The system architecting process is the hierarchical reduction of ambiguity associated with user needs and system design. Design allocation, and subsequent integration, implicitly requires a mechanism by which levels of detail can be added and removed from a decision scenario. This paper addresses the idea of engineering model sharing through the concept of vertical and horizontal extensibility as one mechanism by which hierarchical reduction in ambiguity can be facilitated. Extensible modeling introduces a systems architecting approach to the modeling community by identifying model interfaces and carefully decomposing the model domain. While the actual system hardware is not known at the …

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Predicting Gas Mileage Using The T-Method, Parthiv Shah, Elizabeth A. Cudney, Vivek Jikar Jan 2009

Predicting Gas Mileage Using The T-Method, Parthiv Shah, Elizabeth A. Cudney, Vivek Jikar

Engineering Management and Systems Engineering Faculty Research & Creative Works

The T-method is a technique developed by Genichi Taguchi to calculate an overall prediction based on the signal-to-noise ratio without the use of Gram-Schmidt orthogonalization. the Taguchi methods, also known as Robust Design principles, are used for optimization through planning, conducting, and evaluating the results of experiments to determine the best levels of control factors. the primary goal of Robust Design is to minimize variance in the presence of noise factors to achieve a robust process. This paper outlines the T-method steps using a forecasting case study to calculate miles per gallon for vehicles with a univariate response to illustrate …

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Feasibility Of A Human Performance Model In Consequence Management, Kashmeera Ghosh Jan 2009

Feasibility Of A Human Performance Model In Consequence Management, Kashmeera Ghosh

Masters Theses

"Human civilization has always encountered unpredictable disasters as a result of natural events. Now it also faces the disasters caused by terrorist attacks. Governments must have consequence management plans in place to protect public health and safety, restore essential services, and provide emergency relief to affected businesses and individuals. Human performance models predict outcomes in complex dynamic situations. Such models can simulate disaster management procedures under varying circumstances. This work applies human performance modeling in a terrorist situation and evaluates possible uses of such models by first responders in practical consequence management applications. It includes a case study of an …

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