Operations Research, Systems Engineering and Industrial Engineering Commons^™

Towards Failure Free Design: An Analysis Of Risk Mitigation Communication, Daniel Krus, Katie Grantham

Engineering Management and Systems Engineering Faculty Research & Creative Works

In order to ensure that risk mitigation strategies are properly communicated to and understood by those who would use them in future designs, a common language of risk mitigation should exist. This paper focuses on a set of elements for describing risk mitigation strategies based on a linguistic analysis of the information such strategies must communicate to the design team. Sample strategies are then decomposed into these attributes and evaluated using the Gricean cooperation principle, relevance theory, and functional analysis theories from the pragmatics sub-field of linguistics. using the deficiencies found from this analysis, a format for risk mitigation strategies …

Stochastic Policy Search For Variance-Penalized Semi-Markov Control, Abhijit Gosavi, Mandar Purohit

Engineering Management and Systems Engineering Faculty Research & Creative Works

The variance-penalized metric in Markov decision processes (MDPs) seeks to maximize the average reward minus a scalar time the variance of rewards. in this paper, our goal is to study the same metric in the context of the semi-Markov decision process (SMDP). in the SMDP, unlike the MDP, the time spent in each transition is not identical and may in fact be a random variable. We first develop an expression for the variance of rewards in the SMDPs, and then formulate the VP-SMDP. Our interest here is in solving the problem without generating the underlying transition probabilities of the Markov …

Executable System Architecting Using Systems Modeling Language In Conjunction With Colored Petri Nets In A Model-Driven Systems Development Process, Renzhong Wang, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This work proposes an executable system architecting paradigm for discrete-event system modeling and analysis through integration of a set of modeling tools, executable formalisms, analytical tools, and animation tools. the essential step is converting SysML-Based specifications into colored Petri nets through a conversion scheme proposed here. Such a paradigm permits rigorous static and dynamic system analysis, as well as formal verification of the behavior and functionality of the SysML-Based design. This paper also compares the capabilities of the proposed executable system architecting paradigm with other executable formalisms. Further, it discusses the basic principles of executable architecture specification and analysis for …

Methodology For Behavioral-Based Malware Analysis And Detection Using Random Projections And K-Nearest Neighbors Classifiers, Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, a Two-Stage Methodology to Analyze and Detect Behavioral-Based Malware is Presented. in the First Stage, a Random Projection is Decreasing the Variable Dimensionality of the Problem and is Simultaneously Reducing the Computational Time of the Classification Task by Several Orders of Magnitude. in the Second Stage, a Modified K-Nearest Neighbors Classifier is Used with Virus total Labeling of the File Samples. This Methodology is Applied to a Large Number of File Samples Provided by F-Secure Corporation, for Which a Dynamic Feature Has Been Extracted during Deep guard Sandbox Execution. as a Result, the Files Classified as False …

On The Curse Of Dimensionality In Supervised Learning Of Smooth Regression Functions, Elia Liitiäinen, Francesco Corona, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, the Effect of Dimensionality on the Supervised Learning of Infinitely Differentiable Regression Functions is Analyzed. by Invoking the Van Trees Lower Bound, We Prove Lower Bounds on the Generalization Error with Respect to the Number of Samples and the Dimensionality of the Input Space Both in a Linear and Non-Linear Context. It is Shown that in Non-Linear Problems Without Prior Knowledge, the Curse of Dimensionality is a Serious Problem. at the Same Time, We Speculate Counter-Intuitively that Sometimes Supervised Learning Becomes Plausible in the Asymptotic Limit of Infinite Dimensionality. © 2011 Springer Science business Media, LLC.

A Comparison Of Finite State Classifier And Mahalanobis-Taguchi System For Multivariate Pattern Recognition In Skin Cancer Detection, Elizabeth A. Cudney, Steven M. Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

This project presents two methods for image classification for the detection of malignant melanoma: The Mahalanobis-Taguchi System and Finite State Classifiers. the Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases, while Finite State Classifiers are a state-based machine learning technique. the goal of this study is to compare the ability of the Mahalanobis-Taguchi System and a Finite State Classifier to discriminate using small data sets. We examine the discriminant ability as a function of data set size using publicly available skin lesion image data. While analysis of the data shows a high degree of …

A Collaborative Engineering Manager Training And Certification Program, Benjamin L. Dow, William Daughton

Engineering Management and Systems Engineering Faculty Research & Creative Works

As technology has rapidly increased, so has the demand for well-trained engineering managers. the engineering management skills needed to succeed in business and industry continues to evolve and includes both organizing and directing people and projects. the American Society of Engineering Management (ASEM) has developed a training and certification program to help enhance and develop these skills. This paper explores both the ASEM training and certification efforts to date. © 2011 IEEE.

Solving The Capacitated Vehicle Routing Problem With Environmental Criteria Based On Real Estimations In Road Transportation: A Case Study, Javier Faulin, Angel Juan, Fernando Lera, Scott Erwin Grasman

Engineering Management and Systems Engineering Faculty Research & Creative Works

One of the most important objectives in company logistics is the optimization of goods distribution considering the whole value chain. There are many algorithms to optimize the capacitated vehicle routing problems (CVRP) associated to problems of road transportation. the objective function of those problems usually involves distance, cost, number of vehicles, or profits, among others. in this contribution we also take into account environmental costs. Here, we want to manage environmental costs estimations based on surveys about road transportation crossing rural areas having valuable biological and natural stock. Thus, we develop some variants (AWEC) to traditional heuristic algorithms, such as …

Planned Tournament Selection, Douglas Mccorkle, Daniel Ashlock, Steven Corns, Kenneth Mark Bryden

Engineering Management and Systems Engineering Faculty Research & Creative Works

Tournament selection is a versatile method of selection and replacement used in evolutionary computation. Normally tournaments are chosen uniformly at random. This study demonstrates the effectiveness of planning tournaments in advance to control information flow within a population being evolved for optimization. Tests are performed on a variety of evolutionary test problems, finding that different planned tournament schemes yield significant differences in performance. the correct type of planned tournament is found to be problem dependent. in addition to a linear-function scheme for planning tournaments, this study also introduces a technique called multi-deme planned tournaments selection which permits simpler cases of …

On The Effects Of Graph Based Evolutionary Algorithms For Training Finite State Classifiers, Steven M. Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

This work presents a method for evolving finite state machines for the classification of polymerase chain reaction primers in mice using graph based evolutionary algorithms. using these machine learning tools we can compensate for many lab, organism, and chemical specific factors that can cause these primers to fail. using Finite State Classifiers can help to decrease the number of primers that fail to amplify correctly. for training these classifiers, fifteen different graph based evolutionary algorithms were used in two different experiments to explore the effects of diversity preservation on the development of these classifiers. by controlling the rate at which …

Adaptive Kernel Smoothing Regression Using Vector Quantization, Federico Montesino Pouzols, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

A Method for Performing Kernel Smoothing Regression in an Online Adaptive Manner is Presented. the Approach Proposed is to Apply Kernel Smoothing Regression on an Incremental Estimation of the (Evolving) Probability Distribution of the Incoming Data Stream Rather Than the Sequence of Observations. This is Achieved by Performing Vector Quantization on the Incoming Stream. in Addition, the Kernel Bandwidth is Adapted Online using a Criterion based on the Median Absolute Deviation Estimator Which Can Be Computed Efficiently Online. Thus, Adaptive Kernel Smoothing Regression is Computed on an Evolving Density Estimation. the Method is Fast and Suitable for Modeling Streams of …

The Canonical Decomposition Fuzzy Comparative Methodology For Assessing Architectures, Jason P. Dauby, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The challenge for system architects is to perform a realistic assessment of an inherently ambiguous system concept. Many existing assessment methods are available, but these are often subjective and unrepeatable. Repeatability, objectivity, and increased fidelity are desired. an architecture assessment methodology capable of achieving these objectives is possible by drawing on the strengths of existing approaches while addressing their collective weaknesses. the proposed methodology is the Canonical Decomposition Fuzzy Comparative approach. the theoretical foundations of this methodology are developed herein and tested through the assessment of three physical architectures for a peer-to-peer wireless network. an extensible modeling framework is established …

Using Social Networking Game To Teach Operations Research And Management Science Fundamental Concepts, Ivan G. Guardiola, Susan L. Murray, Elizabeth A. Cudney

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper presents our experience using the popular game FarmVille by Zynga® to teach the fundamentals of linear programming and integer programming concepts to undergraduate students in an introductory operations research course. FarmVille is a popular game within the social networking website Facebook®. A month-long contest was introduced amongst the students with the goal to be the best individual farmer by striving to reach high levels of revenue, experience, and aesthetic appeal of their own unique farm. The contest is to demonstrate the concepts of problem formulation, solution methods, multiple and competing objectives, implementation of policy, and reformulation. The students …

Enhancing Undergraduate Engineering Education Of Lean Methods Using Simulation Learning Modules Within A Virtual Environment, Elizabeth A. Cudney, Steven Corns, Jennifer A. Farris, Stephen Gent, Scott Erwin Grasman, Ivan G. Guardiola

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper highlights the use of an integrated user-centered virtual learning environment throughextensible simulation learning modules that is currently being developed to enhance undergraduate curricula to meet the industrial needs for engineers with education in lean. The purpose of the research is to address these expectations by developing learning modules that incorporate lean simulation models into various Engineering Management, Industrial Engineering, and Mechanical Engineering courses at Missouri S&T, Texas Tech, and South Dakota State, respectively. In recent years, increasing global competition, rapidly changing technology, and a deficit of U.S. engineering graduates have intensified the need to produce graduating engineers who …

Missouri S&T Engineering Management Capstone Senior Design: Lessons Learned And Challenges To Come, Stephen A. Raper

Engineering Management and Systems Engineering Faculty Research & Creative Works

A more traditional, capstone senior design course was recently added as a requirement for Engineering Management undergraduates in the Engineering Management & Systems Engineering Department at Missouri S&T. The case studies course that had served that purpose was deemed to be insufficient for ABET accreditation purposes by department faculty. The most recent 2008 accreditation visit for the department verified this belief and caused the department to launch the new class earlier than anticipated to prove the class would be taught and that it would meet required standards. Thus, no weaknesses or concerns were noted in this area in the final …

Postearthquake Recovery Of A Water Distribution System: Discrete Event Simulation Using Colored Petri Nets, Ronaldo Luna, Nandini Balakrishnan, Cihan H. Dagli

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Planning and preparedness is essential for any resilient infrastructure system. Modeling and simulation give engineers and planners a better understanding of the system and help them make better decisions. the objective of this study is to demonstrate an improved model for the disaster restoration process by using a discrete event simulation approach. the study also aims to help improve the post-earthquake restoration process by simulating restoration curves. in this paper, colored Petri nets are used to model the system and to simulate its behavior. the resource allocation after a rare event such as an earthquake differs from the resource allocation …

Climate-Related Challenges In Long-Term Management Of Säkylän Pyhäjärvi (Sw Finland), Anne Mari Ventelä, Teija Kirkkala, Amaury Lendasse, Marjo Tarvainen, Harri Helminen, Jouko Sarvala

Engineering Management and Systems Engineering Faculty Research & Creative Works

Säkylän Pyhäjärvi (Sw Finland) is an Example of a Large and Shallow Lake Suffering from Eutrophication. during the Last 20 Years, the Quality and General Usability of Water in Pyhäjärvi Have Shown Considerable Variation Driven by Both a Variety of Human Activities and Climate-Related Factors Such as Wet and Dry Years. the Lake Has Been Thoroughly Studied for Decades and Has Been the Object of Comprehensive Restoration Activities Both in the Catchment and in the Lake Since the 1990s. Large Variety of Water Protection Measures Like Wetlands, Sedimentation Ponds and Filtering Systems Have Been Implemented in the Catchment Area to …

Assessing System Architectures: The Canonical Decomposition Fuzzy Comparative Methodology, Jason Paul Dauby

Doctoral Dissertations

"The impacts of decisions made during the selection of the system architecture propagate throughout the entire system lifecycle. The challenge for system architects is to perform a realistic assessment of an inherently ambiguous system concept. Subject matter expert interpretations, intuition, and heuristics are performed quickly and guide system development in the right overall direction, but these methods are subjective and unrepeatable. Traditional analytical assessments dismiss complexity in a system by assuming severability between system components and are intolerant of ambiguity. To be defensible, a suitable methodology must be repeatable, analytically rigorous, and yet tolerant of ambiguity. The hypothesis for this …

Economic Evaluation Of Sustainable Strategies For The Transportation Sector, Yaqin Lin

Masters Theses

"Sustainable strategies are drawing growing attention as global environmental challenges increase concerns over energy consumption. As one of the most intensive consumers of energy, the transportation sector has a particular need to go green. Implementing alternative energy sources and applying advanced energy efficient technologies are two major approaches to achieve sustainability. Much work thus far used cost-effectiveness as an important criterion for assessing the practicability of sustainable strategies. However, few studies have evaluated such strategies systematically. This thesis has developed a framework of cost-effectiveness analysis to assess sustainability strategies. The framework summarizes the various effects of five representative alternative energy …

Workforce Planning Models For Semiconductor Manufacturing: Assembly-Test Operations, Shrikant Jarugumilli

Doctoral Dissertations

"We present a framework that integrates strategic and operational workforce planning models. Since these models provide decisions for planning horizons with different lengths, the formulation and solution strategy should ensure that the flow of information between these models is both appropriate and consistent.

The single-shift workforce planning problem is formulated as a two-phase goal program. In the first phase, the model allocates the workers to machine groups and identifies the shortage of workers (referred to as gap) followed by the second phase, in which certain constraints are relaxed and the workers are reallocated to the machine groups in order to …

Managing A Solar Sensor Array Project: Analyzing Insolation & Motivation, Beth A. Yount

Masters Theses

"The renewable power industry is rapidly growing today and is in need of much data to augment the advancement of the field. Photovoltaic technology, while making substantial improvement over the last 60 years, still has some significant hurdles to overcome. When shading, dust, or damaged cells reduce the power output of one panel, the traditional series-parallel configurations make it so every panel in series with that lower current panel, will also have its current lowered; this lowers the overall power output of the array significantly. Advancements in configurations and converters could change this phenomenon and dramatically increase a solar array's …

Design And Analysis Of A Speed-Aware Routing Protocol For Mobile Ad Hoc Networks, Kirthana Akunuri

Masters Theses

"The flexibility of movement for the wireless ad hoc devices, referred to as node mobility, introduces challenges such as dynamic topological changes, increased frequency of route disconnections and high packet loss rate in Mobile Ad hoc Wireless Network (MANET) routing. This research proposes a novel on-demand routing protocol, Speed-Aware Routing Protocol (SARP) to mitigate the effects of high node mobility by reducing the frequency of route disconnections in a MANET. SARP identifies a highly mobile node which forms an unstable link by predicting the link expiration time (LET) for a transmitter and receiver pair. When the nodes have high relative …

Trait Approach To Leadership In Campus Organizations: The Hogan Personality Inventory As A Predictor, Christyn Nicolle Collum

Masters Theses

"The trait approach to leadership has been researched extensively and applied to several fields. This study examined whether or not student leadership in registered student organizations is related to personality traits on the Missouri University of Science and Technology campus from spring semesters 2008, 2009, and 2010. It also explored whether or not traits are related to students joining organizations, during these same semesters. The students' personalities were evaluated using the Hogan Personality Inventory (HPJ), which entering freshmen voluntarily completed. The seven scales of the HPJ are Adjustment, Ambition, Sociability, Interpersonal Sensitivity, Prudence, Inquisitiveness, and Learning Approach. Personality results were …

Risk-Sensitive Preventive Maintenance Policies Using Semivariance, Venkata Manojramam Tirumalasetty

Masters Theses

"Preventive maintenance is an important tool that increases the reliability of the production system by reducing downtime due to failures. In the literature, maintenance and replacement policies for productions systems have been widely studied and modeled. Traditionally preventive maintenance has focused only on minimizing expected costs without considering variability in costs. Cost variability is also commonly known as risk. In a 2003 paper, Chen and Jin used variance of costs as a measure of risk for formulating preventive maintenance policies. The variance criterion that they used ignored the probability of costs exceeding monthly or yearly budgets provided to managers. The …

Architecture Value Mapping: Using Fuzzy Cognitive Maps As A Reasoning Mechanism For Multi-Criteria Conceptual Design Evaluation, Atmika Singh

Doctoral Dissertations

"The conceptual design phase is the most critical phase in the systems engineering life cycle. The design concept chosen during this phase determines the structure and behavior of the system, and consequently, its ability to fulfill its intended function. A good conceptual design is the first step in the development of a successful artifact. However, decision-making during conceptual design is inherently challenging and often unreliable. The conceptual design phase is marked by an ambiguous and imprecise set of requirements, and ill-defined system boundaries. A lack of usable data for design evaluation makes the problem worse. In order to assess a …

Integrated Computational Intelligence And Japanese Candlestick Method For Short-Term Financial Forecasting, Takenori Kamo

Doctoral Dissertations

"This research presents a study of intelligent stock price forecasting systems using interval type-2 fuzzy logic for analyzing Japanese candlestick techniques. Many intelligent financial forecasting models have been developed to predict stock prices, but many of them do not perform well under unstable market conditions. One reason for poor performance is that stock price forecasting is very complex, and many factors are involved in stock price movement. In this environment, two kinds of information exist, including quantitative data, such as actual stock prices, and qualitative data, such as stock traders' opinions and expertise. Japanese candlestick techniques have been proven to …

Approximate Policy Iteration For Semi-Markov Control Revisited, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

The semi-Markov decision process can be solved via reinforcement learning without generating its transition model. We briefly review the existing algorithms based on approximate policy iteration (API) for solving this problem for discounted and average reward under the infinite horizon. API techniques have attracted significant interest in the literature recently. We first present and analyze an extension of an existing API algorithm for discounted reward that can handle continuous reward rates. Then, we also consider its average reward counterpart, which requires an updating based on the stochastic shortest path (SSP). We study the convergence properties of the algorithm that does …

Arguing Security Of Generic Avionic Mission Control Computer System (Mcc) Using Assurance Cases, Bhanuchander Reddy Poreddy, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

An assurance case is a body of evidence organized into an argument demonstrating that some claim about a system holds, i.e., is assured. Assurance cases are used to comment about system safety, and it serves as a mean to show that the systems acceptably satisfy their safety properties. Assurance cases perform rigorous security analysis on safety-critical complex systems. in this paper, the analysis done is an approach to documenting an assurance case for system security, i.e., a security assurance case. the paper deals with the Assurance cases for Generic Avionic Mission Control Computer system, by constructing tangible claims and investigating …

Sysml Profiling For Handling Army Base Camp Planning, Dustin Nottage, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

Army base camp planning is a complicated process involving many variables and optional facilities. the facilities can also vary in size and resource utilization depending on permanency of the base, local resources, and population on the base. Each level of facility is modeled and placed into a library database. All of these facilities must be distinguishable for planners to come in and export the correct facility based on the mission. the first method involves separating the different levels into packages so just the package could be exported. the issue is not all facilities will fit correctly. the second method is …

Adaptive Reconfiguration Of Complex System Architecture, Khaled Haris, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

In this paper, an approach for adaptive reconfiguration of architecture of a complex system using computational intelligence techniques is proposed. This paper establishes that the simulated change in the relative importance of rules reflecting the significance of customer's key performance attributes could be used to affect architectural evolution. the proposed approach was demonstrated on a sample system. It was also extended to a general system. the evolving system architecture gave the system an adaptive feature in the sense that it accepted alternative components based on the simulated changes in the environment. Architecture alternatives were generated through genetic algorithms (GA), while …