Operations Research, Systems Engineering and Industrial Engineering Commons^™

Sr-2: A Hybrid Algorithm For The Capacitated Vehicle Routing Problem, Angel A. Juan, Javier Faulin, Josep Jorba, Barry Barrios, Scott Erwin Grasman

Engineering Management and Systems Engineering Faculty Research & Creative Works

During the last decades a lot of work has been devoted to develop algorithms that can provide near-optimal solutions for the capacitated vehicle routing problem (CVRP). Most of these algorithms are designed to minimize an objective function, subject to a set of constraints, which typically represents aprioristic costs. This approach provides adequate theoretical solutions, but they do not always fit real-life needs since there are some important costs and some routing constraints or desirable properties that cannot be easily modeled. In this paper, we present a new approach which combines the use of Monte Carlo simulation and parallel and grid …

Reinforcement Learning Based Dual-Control Methodology For Complex Nonlinear Discrete-Time Systems With Application To Spark Engine Egr Operation, Peter Shih, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier

Electrical and Computer Engineering Faculty Research & Creative Works

A novel reinforcement-learning-based dual-control methodology adaptive neural network (NN) controller is developed to deliver a desired tracking performance for a class of complex feedback nonlinear discrete-time systems, which consists of a second-order nonlinear discrete-time system in nonstrict feedback form and an affine nonlinear discrete-time system, in the presence of bounded and unknown disturbances. For example, the exhaust gas recirculation (EGR) operation of a spark ignition (SI) engine is modeled by using such a complex nonlinear discrete-time system. A dual-controller approach is undertaken where primary adaptive critic NN controller is designed for the nonstrict feedback nonlinear discrete-time system whereas the secondary …

Damping Inter-Area Oscillations By Upfcs Based On Selected Global Measurements, Mahyar Zarghami, Yilu Liu, Jagannathan Sarangapani, Mariesa Crow

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces a method of using a selected set of the global data for controlling inter-area oscillations of the power network using unified power flow controllers. This novel algorithm utilizes reduced order observers for estimating the missing data the purpose of control when all the data is unavailable through frequency measurements in a wide area control approach. The paper will also address the problem of time-delay in data acquisition through examples.

Public-Private Partnerships For Technology Growth In The Public Sector, F. Lera-Lopez, Scott Erwin Grasman, Javier Faulin

Engineering Management and Systems Engineering Faculty Research & Creative Works

Public-private partnerships (PPP) are a mechanism for financing large infrastructure development such as transportation projects, hospitals, schools, and public works facilities. In addition, the benefits of PPP stretch well into the realm of engineering management. Most notably, PPPs provide the opportunity for more efficient project management, proficient risk mitigation, and enhanced technological innovation. This paper provides a general description of the typical PPP process and how this process can be used to improve management of technology in the public sector.

System Of Systems: Power And Paradox, Joseph J. Simpson, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Systems concepts and artifacts provide the basis for enumerable sources of power and wealth in our modern world. Culture, art and science all are based on established systems of behavior, values and thought. The current environment is densely populated with physical system artifacts that are used in every aspect of human life. The ubiquitous nature of existing systems has generated a strong interest in using an existing set of systems as the basis for a system of systems. Further interest in the system-of-systems approach is stimulated by rapid development, deployment and expansion of new and existing systems. While successful system …

Missouri S&T Mote-Based Demonstration Of Energy Monitoring Solution For Network Enabled Manufacturing Using Wireless Sensor Networks (Wsn), James W. Fonda, Maciej Jan Zawodniok, Al Salour, Jagannathan Sarangapani, Donald Miller

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, an inexpensive electric utilities monitoring solution using wireless sensor networks is demonstrated that can easily be installed, deployed, maintained and eliminate unnecessary energy costs and effort. The monitoring solution is designed to support network enabled manufacturing (NEM) program using Missouri University of Science and Technology (MST), formerly the University of Missouri-Rolla (UMR), motes.

Executable Modeling For System Of Systems Architecting: An Artificial Life Framework, Kilicay-Ergin Nil, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

There is a diversity of frameworks and methodologies for enabling architecture developments. Static representation frameworks provide a standardized way to communicate the architecture to stakeholders, but do not provide means to analyze the system states and system behavior. Therefore, there is a need to convert static representation frameworks to executable models. The aim of this paper is to present Artificial Life approaches as a methodology for understanding behavior of System of Systems. For this, an Artificial Life based framework for modeling System of Systems is presented. The framework comprises cognitive architectures embedded in multi-agent models. Financial markets are selected as …

An Executable System Architecture Approach To Discrete Events System Modeling Using Sysml In Conjunction With Colored Petri Net, Renzhong Wang, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper proposes an executable system architecting paradigm for discrete event system modeling and analysis through integration of a set of architecting tools, executable modeling tools, analytical tools, and visualization tools. The essential step is translating SysML-based specifications into colored Petri nets (CPNs) which enables rigorous static and dynamic system analysis as well as formal verification of the behavior and functionality of the SysML-based design. A set of tools have been studied and integrated that enable a structured architecture design process. Some basic principles of executable system architecture for discrete event system modeling that guide the process of executable architecture …

System Of Systems Architecture Generation And Evaluation Using Evolutionary Algorithms, Joseph J. Simpson, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Evolutionary algorithms and computational intelligence represent a developing technology and science that provides great potential in the area of system and system-of-systems architecture generation, categorization and evaluation. Classical system engineering analysis techniques have been used to represent a system architecture in a manner that is compatible with evolutionary algorithms and computational intelligence techniques. This paper focuses on specific system relationship configurations and attributes that are required to successfully aggregate the best-fit function in a fuzzy associative memory that is used in an evolutionary algorithm to generate and evaluate system architectures.

Systems Methodology And Framework For Problem Definition In Mobile Ad Hoc Networks, Reghu Anguswamy, Maheswaran Thiagarajan, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Mobile Ad Hoc Networks are communication networks built up of a collection of mobile devices which can communicate through wireless connections. Mobile Ad Hoc Networks have many challenges such as routing, which is the task of directing data packets from a source node to a given destination. This task is particularly hard in Mobile Ad Hoc Networks: due to the mobility of the network elements and the lack of central control, robustness and adaptability in routing algorithms and work in a decentralized and self organizing way. Through the principles of systems architecting and Engineering; the problem statement in Mobile Ad …

Output Feedback Controller For Operation Of Spark Ignition Engines At Lean Conditions Using Neural Networks, Jonathan B. Vance, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier

Electrical and Computer Engineering Faculty Research & Creative Works

Spark ignition (SI) engines operating at very lean conditions demonstrate significant nonlinear behavior by exhibiting cycle-to-cycle bifurcation of heat release. Past literature suggests that operating an engine under such lean conditions can significantly reduce NO emissions by as much as 30% and improve fuel efficiency by as much as 5%-10%. At lean conditions, the heat release per engine cycle is not close to constant, as it is when these engines operate under stoichiometric conditions where the equivalence ratio is 1.0. A neural network controller employing output feedback has shown ability in simulation to reduce the nonlinear cyclic dispersion observed under …

A Suite Of Robust Controllers For The Manipulation Of Microscale Objects, Qinmin Yang, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

A suite of novel robust controllers is introduced for the pickup operation of microscale objects in a microelectromechanical system (MEMS). In MEMS, adhesive, surface tension, friction, and van der Waals forces are dominant. Moreover, these forces are typically unknown. The proposed robust controller overcomes the unknown contact dynamics and ensures its performance in the presence of actuator constraints by assuming that the upper bounds on these forces are known. On the other hand, for the robust adaptive critic-based neural network (NN) controller, the unknown dynamic forces are estimated online. It consists of an action NN for compensating the unknown system …

Application Of Design Of Experiments To Flight Test: A Case Study, Aaron A. Tucker, Gregory T. Hutto, 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. Design of experiments is a statistical methodology which enables a highly efficient investigation where only the samples needed are collected and analyzed. the application of design of experiments to the design of flight test can result in a significant increase in test efficiency. Increased information is garnered from the data collected while the number of data points required to understand the system is reduced. in this effort, an actual flight test program serves as a case study to compare and …

Carbon Credits And Energy Subsidies In Economic Decision Making For Confined Animal Feedlot Operation Waste Treatment, Taresh Grover

Masters Theses

"Released waste into the environment has always had a societal cost. Current issues with swine waste suggest that improved treatment is needed as agricultural production has become more industry-like and also as we now globally value the mitigation of global warming. The current need for and the economic support of advanced waste treatment has converged for animal agriculture, and now improved waste treatment is possible with concurrent economic benefit through alternative energy and carbon emissions. Recent changes have resulted in renewal of interest in anaerobic digestion (AD) technology with methane capture and energy production. An economic model was constructed to …

Human Systems Integration: Training And Education Needs Analysis, Hao Zhang

Masters Theses

"Over the past decade, the military (both US and foreign) has developed a wide range of tools, techniques, and technologies for integrating human factors into systems engineering. Human Systems Integration (HSI) came forth as a new multidisciplinary field of study composed of several basic areas including Human Factors Engineering, System Safety, Health Hazards, Personnel Survivability, Manpower, Personnel, Training, and Habitability. An online survey was designed to examine education and training in HSI. 19 HSI experts responded to the survey. The feedback showed that there is a lack of high qualified practitioners in HSI. Many HSI practitioners are lacking of required …

Quantifying The Desired Degree Of Supply Chain Flexibility, Poorna Marappa

Masters Theses

"The dynamic nature of today's market drives the need for flexibility in supply chains. The ever-growing need for and importance of flexibility in supply chains has motivated researchers to develop frameworks to achieve supply chain flexibility. Much of the research on supply chain flexibility focuses on drivers of the need for flexibility and classification of supply chain flexibility. Existing frameworks for determining the desired degree of flexibility in supply chains give an overview methodology; however, a comprehensive framework is absent. This research proposes a comprehensive framework to quantify the desired degree of flexibility in supply chains and accordingly determine its …

Application Of Product Family Design For Engineered Systems In Changing Market Space, Mohit Goswami

Masters Theses

"The focus of this paper is on the design of an engineered system for a changing market space. Due to the dynamic nature of the customer requirements, the specification of product offerings in a particular market may change. Manufacturers need to strategically design their product portfolio in such a way that their profitability is maximized, while deploying the right number of platforms necessary for deriving product variants. Depending on the system architecture, subsystems can be classified into one of the two types: scalar subsystems and modular subsystems. Each subsystem is defined by various parameters, performance criteria, and physical compatibility constraints. …

Formulating Hedging Strategies For Financial Risk Mitigation In Competitive U.S. Electricity Markets, Karthik Viswanathan

Masters Theses

"The challenges currently facing participants in the competitive electricity markets are unique and staggering: unprecedented price volatility, fluctuations in the demand, a lack of historical market data on which to test the new modeling approaches, increased competition and continuously changing regulatory structure...Electricity plant owners and purchasers of electricity may benefit from various techniques to manage price volatility. For electricity, however, no futures market is actively traded. The electricity forward market in NYMEX is in its nascent stage and is low in liquidity. Producers and purchasers of electricity may find cross-hedging electricity with natural gas futures contracts to be effective in …

Wireless Mote-Based In-Process Diagnostics Using Hand-Held Tools In Network Enabled Manufacturing Environments, Reghu Anguswamy

Masters Theses

"When complex manufacturing systems are considered, post process inspection can be a very time consuming and costly. In addition, no inspection data is typically collected unless a major problem is encountered. Real-time monitoring of the manufacturing processes and verification of its product quality are two important factors to reduce the manufacturing lead time and to ensure safety and quality.

In this thesis, a diagnostics and root-cause analysis scheme with a single channel wireless routing protocol for real-time monitoring of process quality of pull-type fastening operations is first presented. The overall architecture has been implemented on a Huck45 pull-type tool, which …

Approaches To Learning In A Classroom Environment: Observational & Experiential, Raj Kanwar Singh

Masters Theses

"Accreditation Board for Engineering and Technology (ABET) has established a set of criteria that requires engineering graduates to be able to effectively communicate, work in teams with ethics and professionalism understanding the contemporary issues. There are different approaches for teaching and learning these skills, two of which are discussed in this thesis. The intention of this research is to understand the impact of observational and experiential learning on team and individual performance"--Abstract, page iv.

Speculation And Hedging With Virtuals, Prasenjit Shil

Doctoral Dissertations

"Virtual bid" and "Virtual offer" are purely financial products offered in certain electricity markets. Theoretically, virtual bids and offers can change the electricity price as the bids and offers are stacked along with the demand and supply, respectively. This dissertation discusses how virtuals can be used to hedge and speculate in the electricity market. A statistical simulation model is developed based on the day-ahead (DA) demand and real time (RT) load data from Midwest Independent Transmission System Operator's (MISO) footprint and DA and RT price observed at Cinergy hub. The simulation models are intended to mimic the load and price …

Application Of Artificial Neural Networks And Colored Petri Nets On Earthquake Resilient Water Distribution Systems, Nandini Kavanal Balakrishnan

Masters Theses

"Water distribution systems are important lifelines and a critical and complex infrastructure of a country. The performance of this system during unexpected rare events is important as it is one of the lifelines that people directly depend on and other factors indirectly impact the economy of a nation. In this thesis a couple of methods that can be used to predict damage and simulate the restoration process of a water distribution system are presented. Contributing to the effort of applying computational tools to infrastructure systems, Artificial Neural Network (ANN) is used to predict the rate of damage in the pipe …

Generalized Hamilton-Jacobi-Bellman Formulation-Based Neural Network Control Of Affine Nonlinear Discrete-Time Systems, Zheng Chen, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we consider the use of nonlinear networks towards obtaining nearly optimal solutions to the control of nonlinear discrete-time (DT) systems. The method is based on least squares successive approximation solution of the generalized Hamilton-Jacobi-Bellman (GHJB) equation which appears in optimization problems. Successive approximation using the GHJB has not been applied for nonlinear DT systems. The proposed recursive method solves the GHJB equation in DT on a well-defined region of attraction. The definition of GHJB, pre-Hamiltonian function, HJB equation, and method of updating the control function for the affine nonlinear DT systems under small perturbation assumption are proposed. …

Gaussian Basis Functions For Chemometrics, Tuomas Kärnä, Francesco Corona, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

High-Dimensional Data Are Becoming More and More Common, especially in the Field of Chemometrics. Nevertheless, it is Generally Known that Most of the Commonly Used Prediction Models Suffer from Curse of Dimensionality that is the Prediction Performance Degrades as Data Dimension Grows. Therefore, It is Important to Develop Methodology for Reliable Dimensionality Reduction. in This Paper, We Propose a Method that is based on Functional Approximation using Gaussian Basis Functions. the Basis Functions Are Optimized to Accurately Fit the Spectral Data using Nonlinear Gauss-Newton Algorithm. the Fitting Weights Are Then Used as Training Data to Build a Least-Squares Support Vector …

Wavelength Selection Using The Measure Of Topological Relevance On The Self-Organizing Map, Francesco Corona, Satu Pia Reinikainen, Kari Aaljoki, Annikki Perkiö, Elia Liitiäinen, Roberto Baratti, Olli Simula, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Work, We Investigated the Possibility to Perform Wavelength Selection by Exploiting the Metric Structure of the Spectrophotoscopic Measurements. the Topologically Preserving Representation of the Data is Performed using the Self-Organizing Map (Som) Where the Inputs' Significance to the Output is Computed with the Measure of Topological Relevance (MTR) on Som. the MTR on Som is a Metric Measuring the Similarity between Local Distance Matrices and We Found that Spectral Inputs with a Topology, Which Is, Close to the Outputs Are Also Associated to the Wavelengths that Chemically Explain the Influence of the Spectra to the Property of Interest. …

Business Risk In Early Design: An Approach, Rahul Basavaraj Patil

Masters Theses

"The Business Risk in Early Design (B-RED) method is a tool used to determine the potential risks in business, in the early business development stages. In order to launch a successful business in today's competitive market environment, the business should equip itself to face the risks involved in business. If the potential risks are identified even before the launch of the business, then there is an opportunity to avert risks with little or no impact to the budget and schedule. The B-RED method presented in this thesis helps entrepreneurs and people with little or no experience in business to identify …

A Systematic Approach To Project Portfolio Selection For Economic Development In Municipalities: A Case Study In Vienna, Missouri, Amanda Danielle Alpaugh

Masters Theses

"Economic development is essential for the survival of all municipalities in the United States. Economic growth, created through project implementation, brings new capital into municipalities by increasing the tax base. Smaller municipalities often struggle to implement projects that promote economic growth. These municipalities run into problems because they lack resources to hire an economic consultant and capabilities to independently complete the strategic planning process. This thesis describes an easy-to-use and easy-to-implement systematic ten-step approach to project portfolio selection for economic growth within smaller municipalities...The ten-step approach was employed in a case study performed in Vienna, Missouri. The case study involved …

Forecasting Using The T-Method, Parthiv Akshay Shah

Masters Theses

"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, is used to determine the optimal levels of control factors through planning and conducting experiments, and evaluating their results. The primary goal of Robust Design is to minimize variance in the presence of noise factors to achieve a robust process. T-Method is one of the techniques evolved from Taguchi Methods. This thesis illustrates the use of the T-method and outlines it steps using four forecasting case …

Design Stability For Concept Selection, Vivek K. Jikar, Kenneth M. Ragsdell

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper re-visits the concept of Design Stability proposed earlier. It further develops a new metric called the Design Stability Coefficient for use in the concept selection stage during early phases of new product development. Design Stability Coefficient is analyzed qualitatively as well as quantitatively and developed as an objective criterion for selecting the best alternative for realizing high value for the end-user of a product. a Wheatstone Bridge is used as an example to indicate a procedure for computing the Design Stability Coefficient. Calculated values are compared with the Nominal the Best signal to noise ratio. Copyright © 2008 …

Implementing An Architectural Framework To Define And Deliver Net-Centric Capability To Legacy Military Air Assets Operating Within A System Of Systems, Mark S. Anderson, S. M. Martin, Cihan H. Dagli, Ann K. Miller

Engineering Management and Systems Engineering Faculty Research & Creative Works

The United States Air Force (USAF) is implementing an integrated net-centric system of systems for airborne operations in support of the global war on terror (GWOT). The GWOT demands that a successful architecture framework transforms and delivers net-centric assets to the war-fighter in a timely manner. A critical component of this implementation is the transformation of legacy strategic air platforms into net-centric air power assets operating within a system of systems. The System Architectural (SA) framework, and the Department of Defense Architectural Framework (DoDAF) are ways of managing complexity and organizing information within a system of systems network. This paper …