Operations Research, Systems Engineering and Industrial Engineering Commons^™

New Window On Optical Brain Imaging; Medical Development, Simulations And Applications, Chemseddine Mansouri, Nasser H. Kashou

Biomedical, Industrial & Human Factors Engineering Faculty Publications

In this chapter we hope to give a technological review of near-infrared light and systems, discuss optode design considerations including background on the fiber design as it relates to this field and finally touch on current trends and applications. For the latter, we will focus on diffusion theory and simulation of photon propagation using a head model. We will follow this with concluding remarks.

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 …

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: …

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 …

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 …

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 …

Adaptive Dynamic Programming For High-Dimensional, Multicollinear State Spaces, Bancha Ariyajunya

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Dynamic programming (DP) is a mathematical programming method for optimizing a system changing over time and has been used to solve multi-stage optimization problems in manufacturing systems, environmental engineering, and many other fields. Exact solutions are only possible for small problems or under very limiting restrictions, but computationally practical approximate DP methods now exist. Most continuous-state problems require discretization of the state space. A design and analysis of computer experiments (DACE) approach for approximate DP uses experimental design and statistical modeling to approximate the value function in continuous-state problems. However, ideal experimental designs are orthogonal, and when the state variables …

Cnt Reinforced Epoxy Foamed And Electrospun Nano-Fiber Interlayer Systems For Manufacturing Lighter And Stronger Featherweight Composites, Vasileios M. Drakonakis

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Multiple works have been performed in improving carbon fiber reinforced polymer (CFRP) composites especially in terms of strength so delamination, which is the major defect in laminated composites, is prevented. Nevertheless, there is not much focus on improving conventional CFRP systems in terms of weight especially when these are used in primary structures. This work questions whether lighter and at the same time stronger CFRP composites can be manufactured in order to replace conventional CFRP systems in major applications. Under this perspective, this study demonstrates that inducing controlled porosity may offer a systemic approach for manufacturing light weight carbon fiber …

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.

Data Mining Based Threshold Development For Novelty Detection, Poovich Phaladiganon

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

The objective of this dissertation is to develop thresholds for novelty detection with applications to statistical process control (SPC). SPC is a widely used technique for improving process and product quality. The primary tool of SPC is a control chart that is used to monitor and detect abnormal processes. Traditional control chart techniques usually require a specific distributional assumption, typically the normal distribution, to establish their control limits. However, in modern manufacturing processes, the normality assumption is often violated. Novelty detection more generally seeks abnormal (or novel) patterns in data, and novelty detection techniques can be applied to control charts …

Multivariate Modeling For A Multiple Stage, Multiple Objective Green Building Framework, Pin Kung

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Green building is a sustainable concept to reduce environmental impact. Decision–making for green building is a complex task. A multi–stage green building framework will guide future development of a comprehensive multiple stage, multiple objective (MSMO) decision–making framework. The software eQUEST is utilized in a design and analysis of computer experiments (DACE) approach to study building options that potentially impact energy usage and cost metrics. The DACE approach uses experimental design and statistical analysis to uncover multivariate patterns that will provide guidance for green building decisions. The computer experiments execute the green building software tools ATHENA [11] and eQUEST [13]. The …

The Art Of Microchannel Molding In Microscope Glass Slides, Sree Bhupathiraju

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

This research is an effort to develop a new process by combining engineering principles with the history of glass art molding to develop clear micro-level test features in glass, for bio-medical and drug experiments dealing with cells, tissue, and micro-level organisms. Most of the present research in the bio-medical field involving micro-level cell and brain tissue testing is done using expensive glass or developed using Polydimethylsiloxane (PDMS) as the main material. Disadvantages of PDMS is that, over time the cell or blood tissue reacts with polymers causing a reduction in clarity making it difficult for a research scientist to observe …

Rq-Tech, A Strategic-Level Approach For Conceptualizing Enterprise Architectures, Christine A. Hoyland

Engineering Management & Systems Engineering Faculty Publications

The purpose of this study is to present a system-theoretic based methodology and corresponding model for Enterprise Architecture development. Enterprise Architecture models can assist managers by illustrating the systemic relationships of their business and the impact their decisions can make. Unfortunately, today's modeling practices are proprietary, time-consuming, and generally ineffective as tools for communicating strategic-level planning across and down all levels of the enterprise. This research explored the most significant factors that must be considered when translating authoritative text and rich pictures of business doctrine into semantic models. An ontology, namely RQ-Tech, was used to parse and tag representative samples …

An Analysis Of Factors Affecting The Effective Use Of Knowledge Management In Counter Improvised Explosive Device (C-Ied) Operations, Umit Gencer, Rafael E. Landaeta, Resit Unal, C. Ariel Pinto, Gokay Sursal

Engineering Management & Systems Engineering Faculty Publications

Improvised Explosive Device (IED) is a weapon of choice and is likely to remain a major component of the Global War on Terrorism. It is critical that gaps in knowledge transfer are quickly addressed in order to more effectively equip personnel to counter IED (C-IED) threat. Therefore, the military must analyze the current Knowledge Management (KM) programs in C-IED arena in order to maximize transfer of knowledge derived from experience and skill to staffs and finally to commanders. This study investigates the factors that influence effective use of KM in C-IED operations in the military. The study suggests that effective …

Effectiveness In Executive Decision-Making Bodies: The Role Of Conflict, Chris L. Day, Pilar Pazos

Engineering Management & Systems Engineering Faculty Publications

The theory and practice related to team processes such as communication, coordination, conflict, and their impact on team performance and effectiveness has been focused on principles applied to teams in general and to specific subsets of teams/situations. Executive decision-making bodies are a specialized subset of teams charged with managing strategic and enterprise-wide change typically consisting of talented team members who make decisions having a broad impact on the organizations they lead. Executive decision-making bodies have been largely unexplored in the team research literature. This study presents an in-depth review of prior research exploring the role of input factors and conflict …

Acuta Enews January 2012 Vol. 41, No. 1

ACUTA Newsletters

ln This lssue...

1 Board Approves Slate of Nominees

2 From the President: New Building Network Designs at BC............ .--.Joseph Harrington, Boston College

3 Nominate a Colleague for the ACUTA Ruth A Michalecki Leadership Award

4 Member Benefit of the Month: Monthly Newsletter Subscriptions

4 Today's ACUTA for Today's CIO ................. Keith Fowlkes, UVA Wise

5 ACUTA Webinar: The Challenges of Mobile Connectivity

5 Board Report............... Riny Ledgerwood, SDSU

6 Info Links.............. .....Randy Hayes, Univ. of Northern Iowa

7 How Transdisciplinarity Will Help Workers Thrive ...................James Fraleigh, Apollo Research Institute

8 Committee Corner

8 Thanks to Event Sponsors in 2011 …