Operations Research, Systems Engineering and Industrial Engineering Commons^™

Robust Local Search For Solving Rcpsp/Max With Durational Uncertainty, Na Fu, Hoong Chuin Lau, Pradeep Varakantham, Fei Xiao

Research Collection School Of Computing and Information Systems

Scheduling problems in manufacturing, logistics and project management have frequently been modeled using the framework of Resource Constrained Project Scheduling Problems with minimum and maximum time lags (RCPSP/max). Due to the importance of these problems, providing scalable solution schedules for RCPSP/max problems is a topic of extensive research. However, all existing methods for solving RCPSP/max assume that durations of activities are known with certainty, an assumption that does not hold in real world scheduling problems where unexpected external events such as manpower availability, weather changes, etc. lead to delays or advances in completion of activities. Thus, in this paper, our …

Two Essays On The Domain Translation From Financial Options To Real Options, Hongyan Chen

Doctoral Dissertations

"Real options (ROs) extend the financial option pricing theory to the valuation of real asset investment and managerial flexibility under uncertainty. However, differences between financial and non-financial markets, and the complex real world environment of applications, build obstacles for the domain translation from financial options to ROs.

This dissertation is motivated by the challenges of domain translation and developed in two essays. The first essay studies the incentive function of ROs (named the RO incentive). The essay develops an option-game framework to model the RO incentive, examines the change of investment behavior caused by the RO incentive, and values the …

Analyzing Risk And Catastrophic Accidents: Using Lopa And Human Factors To Improve Safety In Generic Projects, Siddharth B. Damle

Doctoral Dissertations

"Risk assessment and identification in the early stages of any project is critical to the success of that project from time, budget and cost prespective [sic]. Identifying unacceptable risks and making provisions to mitigate those, can reduce the uncertainty in the project and ensure its smooth completion and closure. Various techniques have been developed over time to identify and quantify risks. Inspite of all the available research on risk management tools, accidents continue to happen and projects consistently fail.

The objective of this study is to first, determine the generic risks that can be encountered by a project. A list …

Approximate Policy Iteration For Markov Control Revisited, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

Q-Learning is based on value iteration and remains the most popular choice for solving Markov Decision Problems (MDPs) via reinforcement learning (RL), where the goal is to bypass the transition probabilities of the MDP. Approximate policy iteration (API) is another RL technique, not as widely used as Q-Learning, based on modified policy iteration. in this paper, we present and analyze an API algorithm for discounted reward based on (i) classical temporal differences update for policy evaluation and (ii) simulation-Based mean estimation for policy improvement. Further, we analyze for convergence API algorithms based on Q-factors for (i) discounted reward and (ii) …

Preface To Part Iii: Model Based Systems Engineering, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

Enabling Systems And The Adaptability Of Complex Systems-Of-Systems, Charles O. Adler, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

For complex techno-social system-of-systems, the system's robustness and its ability to adapt to changing environments and circumstances over the life cycle of the systems is an important measure of system quality and effectiveness. the IEEE 15288-2004 standard describes the concept of "enabling systems" that provide non-operational services to the system-of-interest at various times in the system life cycle. This concept of enabling systems provides critical components and perspective in the architecting and analysis of systems-of-systems adaptability and capabilities over time. Enabling systems also provide a potential strong link between the technical system and larger environmental effects such as economic conditions. …

Fuzzy Assessor Using Type 1 And Type 2 Fuzzy Sets, Paulette Acheson, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper provides a fuzzy assessor that can be used to evaluate system architectures. the fuzzy assessor includes a method of assigning system architecture attribute values to the lower-level subsystems using type 1 fuzzy sets and type 2 fuzzy sets. Each architecture attribute is evaluated at the lowest subsystem level and then mathematically rolled-up to provide the system level value for each architecture attribute. Then the value for each architecture attribute is combined into an overall system architecture performance value. This provides a mathematical method of qualitatively assessing a system architecture based on key architecture attributes. the fuzzy assessor uses …

Preface To Part Ii Computational Intelligence And Machine Learning, Rosemary D. Paradis, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

A New Hybrid Approach For Forecasting Interest Rates, David Enke, Nijat Mehdiyev

Engineering Management and Systems Engineering Faculty Research & Creative Works

The dynamic, non-linear, volatile and complex nature of interest rates makes it hard to predict their future movements. in order to deal with these complexities, the authors propose a two-stage neuro-hybrid forecasting model. in the initial data preprocessing stage, multiple regression analysis is implemented to determine the variables that have the strongest prediction ability. the selected variables are then provided as inputs to a Fuzzy Inference Neural Network to forecast future interest rate values. the proposed hybrid model is implemented using data from the U.S. interest rate market. © 2012 Published by Elsevier B.V.

Computational System Architecture Development Using A Holistic Modeling Approach, Renzhong Wang, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper presents an innovative system architecture development framework that allows the search of optimum architecture solutions within large design space by automating certain model construction, alternative generation, simulation, and assessment tasks. Such framework is facilitated by a holistic modeling approach that combines the capabilities of Object Process Methodology (OPM), Colored Petri Net (CPN) and feature model. the resultant holistic model not only can capture the structural, behavior, and dynamic aspects of a system, allowing strong analysis methods to be applied, but also can specify the architectural design space allowing generation of architecture alternatives that cover it. the proposed framework …

Application Of Model-Based Systems Engineering On A University Satellite Design Team, Dustin Nottage, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

System Engineering is a foundation of the Missouri S&T's Satellite Design Team, although it is not explicitly stated at all times. However, implementation of the systems engineering process within a student design team presents unique challenges. Student design teams have a high personnel turnover, a limited time commitment due to classes, some new members have little to no experience, and a sometimes lack of motivation to participate since it is volunteered time. the largest problem on the team is getting the new members knowledgeable about the system so they can start contributing as fast as possible. the other big problem …

A Proposal To Use Real Time Pricing To Manage The Electrical Grid As A Step Toward Distributed Control, David Haynes, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

An alternative method of managing the electrical grid is presented. Rather than using a centralized control paradigm to balance generation against the load, a distributed approach is proposed. It is believed that this design improves the robustness of the grid by using an architecture that allows for the automatic formation of local micro grids. the self-organization of these micro-grids makes it possible to identify participants in an ad hoc fashion after a storm for purposes of disaster recovery. the micro-grid can automatically grow to encompass all participants and join with other grids to encompass the entire region. © 2012 Published …

Understanding System Of Systems Development Using An Agent-Based Wave Model, Paulette Acheson, Louis Pape, Cihan H. Dagli, Nil Kilicay-Ergin, John Columbi, Khaled Haris

Engineering Management and Systems Engineering Faculty Research & Creative Works

System of Systems (SoS) development is a complex process that depends on the cooperation of various independent Systems [1]. SoS acquisition and development differs from that typical for a single System; it has been shown to follow a wave paradigm known as the Wave Model [2]. Agent based models (ABMs) consist of a set of abstracted entities referred to as agents, and a framework using simplified rules for simulating agent decisions and interactions. Agents have their own goals and are capable of perceiving changes in the environment. Systemic (global) behavior emerges from the decisions and interactions of the agents. This …

A Fuzzy Inference Model For Predicting Irregular Human Behaviour During Stressful Missions, Sina Khanmohammadi, Cihan Hayreddin Dagli, Farnaz Zamani Esfahlani

Engineering Management and Systems Engineering Faculty Research & Creative Works

In this paper a hybrid fuzzy inference and transfer function modeling is used to predict the irregular human behavior during hard and stressful tasks such as dangerous military missions. a set of affecting factors such as missioner's experience, fatigue, sunshine intensity, hungriness, thirstiness, psychological characteristics, affright, etc. may be taken to account. in this regard a dynamic system model is used to predict the convolution of the timed effects of different factors on irregular behavior of personnel during the mission. This approach of predicting irregular behavior or erroneous decision making of staff have serious usages in aerospace, military, social and …

Strategic Management And Entrepreneurship As Economic Development Tools, Norbert Ziemer

Doctoral Dissertations

This research develops a framework of Biobased Entrepreneurial Ventures for Rural Economic Development. Rural economic development poses unique challenges and opportunities, based on available production assets, workforce trends like "brain drain," and access to industry clusters. However, certain entrepreneurial venture opportunities are preferable for rural economic development. Since supply chains are vital to business success, initial emphasis is placed on the biomass resource base to be transformed through entrepreneurial activity into higher economic value outputs. The literature contains research on specific opportunities in rural economic development (e.g. ethanol, wind power). Many of these are limited in scope and depend on …

Sustainable Engineering Practices In Transportation Projects, Kiran Rangarajan

Doctoral Dissertations

"Sustainability has become an important issue in transportation and infrastructure development projects. While several agencies are trying to incorporate a range of sustainability measures in their goals and missions, only a few planning agencies have been able to implement these policies and they are far from perfect. The low rate of success in implementing sustainable policies is primarily due to incomplete understanding of the system and the interaction between various elements of the system. The conventional planning efforts focuses mainly on performance measures pertaining to the system and its impact on the environment but seldom on the social and economic …

The Effects Of Personal Protective Respirators On Human Motor, Visual, And Cognitive Skills, Anas Ahmed Alghamri

Doctoral Dissertations

"In oxygen-deficient or toxic environments in which controlling the hazard is not feasible, workers wear personal protective respirators. Hazard controls include but are not limited to engineering controls, such as ventilation, and substituting less hazardous materials. However, respirator selection and the design of tasks that require respirators are critical issues. Understanding the effects of respirators on human abilities is critical to respirator selection and therefore to the safety and efficiency of workers. This research investigated the effect of respirators on human abilities. A review of the relevant literature was conducted, revealing that respirators can affect physiological, psychological, motor, and visual …

A Comparison Analysis Of Defensive Routines And Theories-In-Use Of Engineering And Non-Engineering Managers, Tyria Riley

Doctoral Dissertations

"Engineering managers are managers who have an understanding of both the technical and business world in organizations. Many lead teams of their peers who are purely technical individuals. However, the success of an engineering manager depends on being able to function in both worlds when necessary. There is a stigma that engineers experience challenges in areas such as communication, conflict resolution, and leadership. Due to these challenges, defensive routines are likely to exist. Defensive routines are behaviors that are common in many managers and may hinder the success of an organization. This research uses a case study approach to measure …

Analyses Of Alternative Energy Deployments, Mathew Thomas

Doctoral Dissertations

"Energy use around the world is rising drastically. Fossil fuels, including liquid fuels, natural gas, and coal, are expected to supply 80% of the world's energy need in 2035. As a result, the world's energy-related carbon dioxide emission is expected to increase from 30.2 billion metric tons in 2008 to 43.2 billion metric tons in 2035. Significant steps are necessary to reduce the dependence on fossil fuel and to reduce greenhouse gas emissions. Renewable and alternative energy technologies can assist in reducing the use of fossil fuels and can reduce greenhouse gas emissions. However, most of the renewable energy technologies …

Neutrosophic Masses & Indeterminate Models Applications To Information Fusion, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

In this paper we introduce the indeterminate models in information fusion, which are due either to the existence of some indeterminate elements in the fusion space or to some indeterminate masses. The best approach for dealing with such models is the neutrosophic logic.