Operations Research, Systems Engineering and Industrial Engineering Commons^™

Cognition Evolutionary Computation For System-Of-Systems Architecture Development, Feng Yang, Cihan Dagli, Weiping Wang

Engineering Management and Systems Engineering Faculty Research & Creative Works

The evolving nature of system-of-systems requirements and corresponding architecture, and the complex causal relationship between the architecture of system-of-systems and its emergent behavior make the problem of system-of-systems architecture development a great challenge. as a tentative effort in meeting this special challenge, a new evolutionary computation paradigm- named Cognition Evolutionary Computation(CEC) is proposed, which models the creative cognition process of divergent and convergent thinking, adaptation and innovation, that drives the co-evolution of problem space, knowledge space and solution space. the optimization algorithm for CEC uses causal probabilistic network as the knowledge representation mechanism. a theoretical framework for CEC based system-of-system …

Model Development Of A Virtual Learning Environment To Enhance Lean Education, Akalpit Gadre, Elizabeth Cudney, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

Modern day industry is becoming leaner by the day. This demands engineers with an in-depth understanding of lean philosophies. Current methods for teaching lean include hands-on projects and simulation. However, simulation games available in the market lack simplicity, ability to store the results, and modeling power. the goal of this research is to develop a virtual simulation platform which would enable students to perform various experiments by applying lean concepts. the design addresses these deficiencies through the use of VE-Suite, a virtual engineering software. the design includes user-friendly dialogue boxes, graphical models of machines, performance display gauges, and an editable …

Local Linear Regression For Soft-Sensor Design With Application To An Industrial Deethanizer, Zhanxing Zhu, Francesco Corona, Amaury Lendasse, Roberto Baratti, Jose A. Romagnoli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Soft-Sensors for Estimating in Real-Time Important Quality Variables Are a Key Technology in Modern Process Industry. the Successful Development of a Soft-Sensor Whose Performance Does Not Deteriorate with Time and Changing Process Characteristics is Troublesome and Only Seldom Achieved in Real-World Setups. the Design of Soft-Sensors based on Local Regression Models is Becoming Popular. Simplicity of Calibration, Ability to Handle Nonlinearities And, Most Importantly, Reduced Maintenance Costs While Retaining the Requested Accuracy Are the Major Assets. in This Paper, We Introduce Several Approaches for Defining an Appropriate Locality Neighborhood and We Propose a Recursive Version of Local Linear Regression for …

Exploratory Study Of Barriers To Use Of Feigenbaum's Quality Cost Strategy Within Design Engineering Firms, David Patrick Loduca

Doctoral Dissertations

"It has been more than a half century since Armand Feigenbaum first conceived of the strategy for the manufacturing sector, yet quality costing strategies have not found a foothold among engineering firms. This study was aimed at constructing a set of theories that explains possible barriers to acceptance of the Feigenbaum strategy by analyzing attitudes and opinions of players in an actual engineering firm and the culture in which they work.

Modeled after the Feigenbaum approach and tailored to the business model of engineering and architectural firms, a system was developed to classify and record costs of quality. A local …

Life Expectancy Evaluation And Replacement Schedule Development For Led Traffic Indicators, Casey Robert Noll

Masters Theses

"LED (light-emitting diode) technology is being widely adopted for use in sustainable traffic signal management. However, the useful life and luminosity characteristics have not been sufficiently studied in the field to provide departments of transportation with cost-effective replacement strategies based on the realities for LED indicators. LED indicators fail when their luminous intensity (LI) falls below a pre-specified threshold, posing a danger to traffic. This research details a field study of LED indicators in Missouri and develops a replacement schedule based on key findings. Rates of degradation and subsequently the useful life of each type of LED indicator were calculated …

Creating A Sustainable Transportation Workforce: Identifying Skills, Abilities And Knowledge For Future Transportation Workforce, Sandhya Gopalakrishnan

Masters Theses

"The recruitment and retention of a transportation workforce capable of adapting to the requirements of emerging sustainable technologies is an important concern for engineering managers in transportation. Although there is an increasing demand for transportation professionals to fill positions stemming from retirement or created by innovations in sustainable transportation systems, the supply is decreasing. The objective of this research was to fill the gap between the supply and demand of skilled workforce by presenting a life-cycle framework for recruiting and retaining the transportation workforce as part of succession planning efforts funded by the U.S. Department of Transportation's Transportation Education Development …

Quantifying The Carbon Footprint Of Lean Waste, Kristen Donovan Balinski

Masters Theses

"The objective of this paper is to provide a method of quantifying lean wastes in terms of carbon dioxide emissions by using value stream mapping. Lean manufacturing, a process based on waste identification and reduction, is a growing trend in industry and a proven method of lowering costs. The environmental impact of these wastes can be quantified by identifying the metrics associated with them, and using existing reports to convert those metrics into measurements of carbon dioxide. Growing environmental concerns are prompting federal government regulation of greenhouse gas or carbon dioxide emissions, as seen in the American Clean Energy and …

Integration Of Model-Based Systems Engineering And Virtual Engineering Tools For Detailed Design, Akshay Kande

Masters Theses

"Design and development of a system can be viewed as a process of transferring and transforming data using a set of tools that form the system's development environment. Conversion of the systems engineering data into useful information is one of the prime objectives of the tools used in the process. With complex systems, the objective is further augmented with a need to represent the information in an accessible and comprehensible manner. The importance of representation is easily understood in light of the fact that the stakeholder's ability to make prompt and appropriate decisions is directly related to his understanding of …

Finite Horizon Markov Control With One-Step Variance Penalties, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

Variance-penalized Markov decision processes (MDPs) for an infinite time horizon have been studied in the literature for asymptotic and one-step variance; in these models, the objective function is generally the expected long-run reward minus a constant time the variance, where variance is used as a measure of risk. for the finite time horizon, asymptotic variance has been considered in Collins [1], but this model accounts for only a terminal reward, i.e., reward is earned at the end of the time horizon. in this paper, we seek to develop a framework for one-step variance in the finite time horizon in which …

A Comparative Study Of Diversity In Evolutionary Algorithms, Jayakanth Jayachandran, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

For many evolutionary algorithms a key obstacle to finding the global optima is insufficient solution diversity, causing the algorithm to become mired in a local optimum. Solution diversity can be influenced by algorithm parameters including population size, mutation operator and diversity preservation techniques. This study examines the combined effect of population size, mutation value and the geography imposed by the combinatorial graphs on a set of five standard evolutionary algorithm problems. a tradeoff can be seen between the initial diversity of the population size, introduction of new diversity from mutation, and the preservation of diversity from combinatorial graph. with an …

Barriers And Best Practices For Material Management In The Healthcare Sector, Carlos Callender, Scott Erwin Grasman

Engineering Management and Systems Engineering Faculty Research & Creative Works

The primary focus of the healthcare sector has been to provide patients with the best quality of care. Recently, the escalating cost of supplies and the severe competition among healthcare providers has significantly increased the pressure on material managers to operate more cost-efficiently without compromising high patient care standards. While other sectors have experienced success through the deployment of supply chain management practices, the healthcare sector has not seen major improvements in this area; however, in spite of the uniqueness and complexity of the healthcare supply chain, opportunities for improvements are plentiful. This article provides an assessment of material management …

A Reinforcement Learning Approach For Inventory Replenishment In Vendor-Managed Inventory Systems With Consignment Inventory, Zheng Sui, Abhijit Gosavi, Li Lin

Engineering Management and Systems Engineering Faculty Research & Creative Works

In a Vendor-Managed Inventory (VMI) system, the supplier makes decisions of inventory management for the retailer; the retailer is not responsible for placing orders. There is a dearth of optimization models for replenishment strategies for VMI systems, and the industry relies on well-understood, but simple models, e.g., the newsvendor rule. in this article, we propose a methodology based on reinforcement learning, which is rooted in the Bellman equation, to determine a replenishment policy in a VMI system with consignment inventory. We also propose rules based on the newsvendor rule. Our numerical results show that our approach can outperform the newsvendor. …

Evolving Fuzzy Optimally Pruned Extreme Learning Machine: A Comparative Analysis, Federico Montesino Pouzols, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

This Paper Proposes a Method for the Identification of Evolving Fuzzy Takagi-Sugeno Systems based on the Optimally Pruned Extreme Learning Machine (Op-Elm) Methodology. We Describe Elm Which is a Simple Yet Accurate and Fast Learning Algorithm for Training Single-Hidden Layer Feed-Forward Artificial Neural Networks (SLFNS) with Random Hidden Neurons. We Then Describe the Op-Elm Methodology for Building Elm Models in a Robust and Generic Manner. Leveraging on the Previously Proposed Online Sequential Elm Method and the Op-Elm, We Propose an Identification Method for Self-Developing or Evolving Neuro-Fuzzy Systems. This Method Follows a Random Projection based Approach to Extracting Evolving Fuzzy …

A Boundary Corrected Expansion Of The Moments Of Nearest Neighbor Distributions, Elia Liitiäinen, Amaury Lendasse, Francesco Corona

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Article, the Moments of Nearest Neighbor Distance Distributions Are Examined. While the Asymptotic Form of Such Moments is Well-Known, the Boundary Effect Has This Far Resisted a Rigorous Analysis. Our Goal is to Develop a New Technique that Allows a Closed-Form High Order Expansion, Where the Boundaries Are Taken into Account Up to the First Order. the Resulting Theoretical Predictions Are Tested Via Simulations and Found to Be Much More Accurate Than the First Order Approximation Obtained by Neglecting the Boundaries. While Our Results Are of Theoretical Interest, They Definitely Also Have Important Applications in Statistics and Physics. …

Improved Pcr Design For Mouse Dna By Training Finite State Machines, Salik R. Yadav, Steven M. Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

This project presents an updated method for classification of polymerase chain reaction primers in mice using finite state classifiers. This is done to compensate for many lab, organism and chemical specific factors that are costly. using Finite State Classifiers can help decrease the number of primers that fail to amplify correctly. for training these classifiers, five different evolutionary algorithms that use an incremental fitness reward are used. Variations to the number of generations and the values in the fitness reward are examined, and the resulting designs are presented. by controlling the fitness reward correctly, there is a potential to develop …

Validating Module Heuristics On Large Scale Products, Rachel Day, Robert B. Stone, Katie Grantham Lough

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Decreasing time and costs is a major objective in many businesses today. Including modularity in the early design phases can effectively decrease time spent on and costs associated with a project. the task of identifying modules within a product early in the design process (when decisions are less expensive) is made less daunting by using the techniques of functional modeling and module heuristics. This paper discusses the results of the initial efforts to verify the module heuristics on large products (products with functional models consisting of more than 30 sub-functions) since the module heuristics were originally developed on small products. …

Developing A Lean Value Model For Product Development, Salik Yadav, Venkat Allada

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper presents a value quantification model for multistage product development using lean principles. the proposed value model considers four main stages of product development (PD) including conceptual development, systems design, detailed design and prototyping. the model determines an optimal solution for each of the design variables to maximize the value at each of the PD stages. the value at each of the PD stages is formulated as a function of the 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. …

Forecasting Consumer Satisfaction For Vehicle Ride Using The Mahalanobis-Taguchi Gram-Schmidt Technique, Elizabeth A. Cudney, Kenneth Ragsdell, Kioumars Paryani

Engineering Management and Systems Engineering Faculty Research & Creative Works

Consumers assess and perceive quality and performance at the vehicle level, but important cost-effective decisions at the sub-system or component level must be made by the producer in order to economically satisfy consumer needs by providing affordable products. Consumers evaluate vehicle attributes such as ride, handling, roominess, braking, and acceleration. These vehicle level attributes are influenced by factors at all levels of the vehicle architecture, and these factors are often correlated. the goal of this research is to efficiently forecast consumer satisfaction measured as a function of available vehicle level performance data. This article presents the application of the Mahalanobis-Taguchi …

Strategies For Using Technology When Grading Problem-Based Classes, Susan L. Murray, Ruwen Qin, Ivan G. Guardiola, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

More and more work is being done today using technology. Email and digital drop boxes are useful tools for professors; however the challenge comes when one is teaching a quantitative class. The issue of using technology to manage work in a quantitative class is increasing as more engineering programs embrace distance education. In this paper we will review the advantages and disadvantages of several methods of collecting, grading, and returning homework assignments to students. The techniques considered include faxing, PDF grading using a Wacom Tablet, and various email approaches. Student survey results are also included in the paper.

Expanding Horizons With Chameleon: Team Missouri's Innovative Home Automation System, Bryan Glass, Ben Brannon, Katie Grantham, Stuart Werner Baur

Engineering Management and Systems Engineering Faculty Research & Creative Works

Team Missouri's 2009 Solar Decathlon entry featured a revolutionary home automation system, Chameleon, promoting both convenience and energy savings. This was accomplished using the typical controls of a convenience based automation system, while maintaining user set points, such as a home's ambient temperature, in the most energy efficient manner. Environmental features of the system include controls for home heating, ventilation and air conditioning, lighting, windows, shades, appliances, indoor air quality, as well as indoor and outdoor irrigation. Further analysis and refinement to the prototype system displayed at the competition is also presented in this paper.

Residential Energy Performance Metrics, Christopher Wright, Stuart Werner Baur, Katie Grantham, Robert B. Stone, Scott Erwin Grasman

Engineering Management and Systems Engineering Faculty Research & Creative Works

Techniques for residential energy monitoring are an emerging field that is currently drawing significant attention. This paper is a description of the current efforts to monitor and compare the performance of three solar powered homes built at Missouri University of Science and Technology. The homes are outfitted with an array of sensors and a data logger system to measure and record electricity production, system energy use, internal home temperature and humidity, hot water production, and exterior ambient conditions the houses are experiencing. Data is being collected to measure the performance of the houses, compare to energy modeling programs, design and …

Hydrogen Fuel Cell Analysis: Lessons Learned From Stationary Power Generation Final Report, Scott E. Grasman, John W. Sheffield, Fatih Dogan, Sunggyu Lee, Umit O. Koylu, Angie Rolufs

Materials Science and Engineering Faculty Research & Creative Works

This study considered opportunities for hydrogen in stationary applications in order to make recommendations related to RD&D strategies that incorporate lessons learned and best practices from relevant national and international stationary power efforts, as well as cost and environmental modeling of pathways. The study analyzed the different strategies utilized in power generation systems and identified the different challenges and opportunities for producing and using hydrogen as an energy carrier. Specific objectives included both a synopsis/critical analysis of lessons learned from previous stationary power programs and recommendations for a strategy for hydrogen infrastructure deployment. This strategy incorporates all hydrogen pathways and …

Residual Variance Estimation Using A Nearest Neighbor Statistic, Elia Liitiäinen, Francesco Corona, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper We Consider the Problem of Estimating E [(Y - E [Y {Divides} X])2] based on a Finite Sample of Independent, But Not Necessarily Identically Distributed, Random Variables (Xi, Yi) i = 1m. We Analyze the Theoretical Properties of a Recently Developed Estimator. It is Shown that the Estimator Has Many Theoretically Interesting Properties, While the Practical Implementation is Simple. © 2010 Elsevier Inc. All Rights Reserved.

Using Quality Attributes And Computational Intelligence To Generate And Evaluate System Architecture Alternatives, Atmika Singh, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper proposes an evolutionary algorithm based approach for evolving architecture alternatives using quality attributes as design drivers. A novel fuzzy architecture assessment approach is presented to quantitatively evaluate the set of possible solutions based on linguistic assessments of architecture quality attributes elicited from the stakeholders. The proposed approach makes a valuable contribution to the systems architecting knowledge base by presenting a measurable and quantifiable approach to architecture design and evaluation.

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 …

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 …

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 …

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 …

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 …

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 …