Operations Research, Systems Engineering and Industrial Engineering Commons^™

Modeling Small Unmanned Aerial System Mishaps Using Logistics Regression And Artificial Neural Networks, Sean E. Wolf

Theses and Dissertations

A dataset of 854 small unmanned aerial system (SUAS) flight experiments from 2005-2009 is analyzed to determine significant factors that contribute to mishaps. The data from 29 airframes of different designs and technology readiness levels were aggregated. 20 measured parameters from each flight experiment are investigated, including wind speed, pilot experience, number of prior flights, pilot currency, etc. Outcomes of failures (loss of flight data) and damage (injury to airframe) are classified by logistic regression modeling and artificial neural network analysis. From the analysis, it can be concluded that SUAS damage is a random event that cannot be predicted with …

Dynamic Analysis Of A Lean Cell Under Uncertainty, Ahmed M. Deif

Industrial Technology and Packaging

One of the ultimate targets of lean manufacturing paradigm is to balance production and produce at takt time in production cells. This paper investigates the performance of a lean cell that implements the previous lean goals under uncertainty. The investigation is based on a system dynamics approach to model a dynamic lean cell. Backlog is used as a performance metric that reflects the cell’s responsiveness. The cell performance is compared under certain and uncertain external (demand) and internal (machine availability) conditions. Results showed that although lean cell is expected to be responsive to external demand with minimum waste, however, this …

A Survey Based Analysis Of It Adoption And 3pls’ Performance, Pietro Evangelista, Riccardo Mogre, Alessandro Perego, Antonino Raspagliesi, Edward Sweeney

Articles

Purpose – In today’s competitive scenario, effective supply chain management is increasingly dependant on third party logistics (3PL) companies’ capabilities and performance. The dissemination of information technology (IT) has contributed to change the supply chain role of 3PL companies and IT is considered an important element influencing performance of modern logistics companies. Therefore, the purpose of this paper is to explore the relationship between IT and 3PLs’ performance, assuming that logistics capabilities play a mediating role in this relationship.

Design/methodology/approach – Empirical evidence based on a questionnaire survey conducted on a sample of logistics service companies operating in the Italian …

Acuta Enews February 2012 Vol. 41, No. 2

ACUTA Newsletters

In this issue...

1 Seminar in Review & What's New

3 jeri Semer Volunteer Recognition Award j Upcoming Events

4 Single- vs. Multi-Vendor Approaches to UC

5 Harness Mobile Technology's Potential

6 lnfo Links

7 Board Report

7 Committee Corner

8 Member Benefit of the Month: Membership Directory

8 Thanks to Exhibitors & Sponsors welcome New Members

9 Check It Out

Pico-Satellite Integrated System Level Test Program, Marcus A. Ruddy

Master's Theses

Testing is an integral part of a satellite’s development, requirements verification and risk mitigation efforts. A robust test program serves to verify construction, integration and assembly workmanship, ensures component, subsystem and system level functionality and reduces risk of mission or capability loss on orbit.

The objective of this thesis was to develop a detailed test program for pico-satellites with a focus on the Cal Poly CubeSat architecture. The test program established a testing baseline from which other programs or users could tailor to meet their needs. Inclusive of the test program was a detailed decomposition of discrete and derived test …

A Study Of Queuing Theory In Low To High Rework Environments With Process Availability, Adam J. Brown

Theses and Dissertations--Manufacturing Systems Engineering

In manufacturing systems subject to machine and operator resource constraints the effects of rework can be profound. High levels of rework burden the resources unnecessarily and as the utilization of these resources increases the expected queuing time of work in process increases exponentially. Queuing models can help managers to understand and control the effects of rework, but often this tool is overlooked in part because of concerns over accuracy in complex environments and/or the need for limiting assumptions. One aim of this work is to increase understanding of system variables on the accuracy of simple queuing models. A queuing model …

A Software Application For The Selection Of Temperature Measuring Sensors Using The Analytic Hierarchy Process (Ahp), Tarek Al-Hawari, Shadi Mohammad Al-B'Ool, Amer Momani

Systems Science and Industrial Engineering Student Scholarship

This study presents a software application that applies the Analytic Hierarchy Process (AHP) to objectively select the best temperature sensors. Three industrial applications and seven sensor alternatives are considered. The developed application performs the selection process in a computerised, easy–to–use graphical user interface. The underlying decision method ranks temperature sensors with scores resulting from the synthesis of relative preferences of each alternative at different levels considering independent evaluation criteria. Pair–wise relative comparison matrices collected from experts are embedded and are retrieved according to user specifications. A case study is conducted which involves selecting the best sensor for an automotive catalytic …

Learning From Failure In Systems Engineering: A Panel Discussion, Nathan Slegers, Ronald T. Kadish, Gary E. Payton, John Thomas, Michael D. Griffin, Dan Dumbacher

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

This paper summarizes the discussion of the Learning from Failure in Systems Engineering panel that was held in Huntsville, AL on November 8, 2010. The panel objective was to discuss how systems engineers respond to and learn from failure and identify future directions important to the community. The panel consisted of four representatives with experience in government, industry, and academia: (1) Ronald Kadish from Booz Allen Hamilton and former director of the Missile Defense Agency, (2) Gary Payton, retired Deputy Under Secretary of the Air Force for Space Programs, (3) John Thomas from Booz Allen Hamilton and President-elect of INCOSE, …

New Tabu Search Heuristics For The Dynamic Facility Layout Problem, Alan Mckendall, Wen-Hsing Liu

Faculty & Staff Scholarship

A manufacturing facility is a dynamic system that constantly evolves due to changes such as changes in product demands, product designs, or replacement of production equipment. As a result, the dynamic facility layout problem (DFLP) considers these changes and is defined as the problem of assigning departments to locations during a multi-period planning horizon such that the sum of the material handling and re-arrangement costs is minimised. In this paper, three tabu search (TS) heuristics are presented for this problem. The first heuristic is a simple TS heuristic. The second heuristic adds diversification and intensification strategies to the first, and …

Application Of Reference Models In Technology Management, Farshad Madani

Engineering and Technology Management Student Projects

Reference models, sometimes called with other different words, prepare a general model from a specific view of the related environment. Reference models are considered as a basic foundation to create: 1) a common language among specialists 2) a reference for the entities such as processes 3) relationships among entities 4) tools and decision making procedures for the real world.

In this report, it's tried the definitions of reference model in the selected papers have been reviewed. It's noticeable that in many papers the term of framework is used instead of reference model. Also, applications of reference models are reviewed and …

Network-Based Data Collection For A Project-Based Freshman Class, Samuel Bogan Daniels, Cheryl Q. Li, David Harding

Mechanical and Industrial Engineering Faculty Publications

The hands-on experience for engineering students is often lacking with class sizes increasing and classroom resources under constant pressure. Even with smaller class sizes and studio classrooms there is only so much equipment and technical support to run experiments and allow for student interaction. Network-based data collection and control may alleviate some of these issues and allow for more hands-on experiences, although remote, in the classroom. This paper discusses the interesting problems and not so obvious pitfalls of setting up some simple network-based data acquisition systems for a multidisciplinary freshman level engineering course. The course as currently taught includes some …

Trust Development In Swift Starting Action Teams: A Multilevel Framework, Jessica Wildman, Marissa Shuffler, Elizabeth Lazzara, Stephen Fiore, C. Shawn Burke, Eduardo Salas, Sena Garven

United States Army: Publications

Swift starting action teams (STATs) are increasingly prevalent in organizations, and the development of trust is often a critical issue for their effectiveness. However, current theory and research do not provide a clear picture regarding how trust toward the team (i.e., the team as the target) is developed in these settings. The primary contribution of this article is to present a theoretical framework describing how individual-level trust toward one’s team is developed in STAT contexts. This article integrates several existing trust theories into one comprehensive context-specific multilevel theory of how trust develops in STATs from cognitive, affective, behavioral, and contextual …

Throughput Analysis And Bottleneck Management Of Production Lines, Hatice Ucar

Wayne State University Dissertations

Companies are increasing their manufacturing excellence in order to stay competitive in the globalizing market. Plants are becoming more complex year by year due to increasing product classes, hardware complexity, etc... The design and operation of manufacturing systems is of greater importance today than it was in the past. Many studies have been carried out on the design and operation of manufacturing systems by academicians and practitioners over the years, however, there is still no agreement on how to best predict and improve the factory performance (Gershwin, 2000). The studies are based on either analytical approaches or simulation-based approaches. Success …

Sampling Based Progressive Hedging Algorithms For Stochastic Programming Problems, Nezir Aydin

Wayne State University Dissertations

Many real-world optimization problems have parameter uncertainty. For instances where the uncertainties can be estimated to a certain degree, stochastic programming (SP) methodologies are used to identify robust plans. Despite advances in SP, it is still a challenge to solve real world stochastic programming problems, in part due to the exponentially increasing number of scenarios. For two-stage and multi-stage problems, the number of scenarios increases exponentially with the number of uncertain parameters, and for multi-stage problems also with the number of decision stages.

In the case of large scale mixed integer stochastic problem instances, there are usually two common approaches: …

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 …

Factors Impacting Technology Transfer: The Maquiladora Industry In Yucatan, Mexico, Ana Maria Canto, Carlos Blanco, Pilar Pazos

Engineering Management & Systems Engineering Faculty Publications

Technology transfer and knowledge transfer are the building blocks for innovation, efficiency and increased competitiveness. The topic of technology transfer in the context of multinational companies has been the focus of technology management researchers for well over two decades. Developing countries housing twin plans have been exposed to technology transfer from very diverse countries with different approaches to the technology transfer process and different levels of success. This cultural and national diversity adds an additional level of complexity to the technology transfer domain that has been largely unexplored. This paper will explore critical factors that had an impact in successful …

The Impact Of Online Collaboration Spaces On Virtual Team Outcomes, Anil Ustun, Pilar Pazos

Engineering Management & Systems Engineering Faculty Publications

With the emergence of information technology, organizational teams often work virtually, relying on different technologies to successfully complete tasks. This paper investigates the influence of online collaboration spaces on team performance and team affective outcomes such as satisfaction with the process. An experiment will be conducted in which teams of 3 participants will work together on a survival decision-making activity (Lost at Sea). Teams will be collaborating in a web-conferencing (Adobe Connecta™) space and a 3D (three-dimensional) virtual space (Second Life). Based on Social Presence Theory, we expect that the avatar-based 3D environment will provide a richer environment for social …

Eustressed Or Distressed? Combining Physiology With Observation In User Studies, Avinash Wesley, Peggy Lindner, Ioannis Pavlidis

Engineering Management and Systems Engineering Faculty Research & Creative Works

In this article the authors describe a novel way to conduct user studies via the combination of a physiological and an observational information channel. The method enables not only the quantification of arousing emotional states but also their disambiguation into positive or negative instances. The physiological channel targets sympathetic responses and has materialized as a perspiratory signal extracted from thermal imagery of the perinasal area. The observational channel has materialized via decoding of facial expressions. However, while such decoding is usually performed in the visible spectrum, the authors have developed an algorithm to carry this out in thermal imagery instead. …

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

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

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 …

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 Framework For Personalized Dynamic Cross-Selling In E-Commerce Retailing, Arun K. Timalsina

Wayne State University Dissertations

Cross-selling and product bundling are prevalent strategies in the retail sector. Instead of static bundling offers, i.e. giving the same offer to everyone, personalized dynamic cross-selling generates targeted bundle offers and can help maximize revenues and profits. In resolving the two basic problems of dynamic cross-selling, which involves selecting the right complementary products and optimizing the discount, the issue of computational complexity becomes central as the customer base and length of the product list grows. Traditional recommender systems are built upon simple collaborative filtering techniques, which exploit the informational cues gained from users in the form of product ratings and …

Rfid-Based Business Process And Workflow Management In Healthcare:Design And Implementation, Xiaoyu Ma

Wayne State University Dissertations

The healthcare system in the United States is considered one of the most complex systems and has encountered challenges related to patient safety concerns, escalating costs, and unpredictable outcomes. Many of these problems share a common cause - a lack of efficient business process management and visibility into the real-time location, status, and condition of medical resources. The goal of this research is to propose a newly integrated system to model, automate, and monitor healthcare business processes using an automatic data collection technology to record the timing and location of activities and identify their various resources.

This dissertation makes several …

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) …

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 …

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 …

Using An Ahp/Anp Hybrid Methodology For Freight Transport Networks Selection Towards Sustainable Transportation, Andrea M. Graham

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The selection of an effective transportation network for the transport of container freight is one of the most important factors in supply chain and logistics planning. The current transport networks, hub-and-spoke and point-to-point, although optimal in many aspects are still plagued with issues in route optimization, empty travel, and bad intermodal synchronization. The trucking industry, the most utilized of all modes, offers unsustainable components in its current state that continually introduce negative impacts to an ever evolving supply chain network. This research investigates a third potentially more sustainable distributed multi-segment transportation network. This network will be compared to the traditional …

Constraint Optimal Selection Techniques (Costs) For Linear Programming, Goh Saito

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Simplex pivoting algorithms remain the dominant approach to solve linear programming (LP) because they have advantages over interior-point methods. However, current simplex algorithms are often inadequate for solving a large-scale LPs because of their insufficient computational speeds. This dissertation develops the significantly faster simplex-based, active-set approaches called Constraint Optimal Selection Techniques (COSTs). COSTs specify a constraint-ordering rule based on constraints' likelihood of being binding at optimality, as well as a rule for adding constraints. In particular, new techniques for adding multiple constraints in an active-set framework, and an efficient constraint-ordering rule for LP are proposed. These innovations greatly reduce computation …

Evaluating Human-Robot Implicit Communication Through Human-Human Implicit Communication, Andrew Xenos Richardson

Electronic Theses and Dissertations

Human-Robot Interaction (HRI) research is examining ways to make human-robot (HR) communication more natural. Incorporating natural communication techniques is expected to make HR communication seamless and more natural for humans. Humans naturally incorporate implicit levels of communication, and including implicit communication in HR communication should provide tremendous benefit. The aim for this work was to evaluate a model for humanrobot implicit communication. Specifically, the primary goal for this research was to determine whether humans can assign meanings to implicit cues received from autonomous robots as they do for identical implicit cues received from humans. An experiment was designed to allow …

Decision Support Models For The External Variety Of Configurable Products, Erkan Isikli

Wayne State University Dissertations

The decision of what configurations of a product to offer is a difficult one for marketing and sales departments. In this study, we developed decision support models that can help decision makers when using operational models to manage external variety of configurable products. Our main objective is to reduce the number of product variants offered in a proper way so that inventory and demand models do not suffer from the curse of dimension. Due to its ability and flexibility, our framework can be employed under various marketing actions. We applied our framework to both qualitative and quantitative data.