Operations Research, Systems Engineering and Industrial Engineering Commons^™

E-Quality Control Using 3d Reconstruction And 3d Measurement, Jun Zheng

Open Access Theses & Dissertations

Recently more and more industrial applications use image acquisition to improve product manufacturing. The observed growth in the last few years is mainly due to the great advances in acquisition devices which are now affordable for more industrialists. Moreover, the increasing demands in the quality requirements of the products are a great stimulus to apply vision tools which allow a better understanding of the impact of the manufacturing process on the product quality. Vision tools have been used in many industrial fields. But the traditional 2D vision is not as reliable as 3D measurement due to the limitations of the …

Decision Making Model For Foreign Object Debris/Damage (Fod) Elimination In Aeronautics Using Quantitative Modeling Approach, Jose Jaime Lafon

Open Access Theses & Dissertations

(FOD) Foreign Object Debris/Damage has been a costly issue for the commercial and military aircraft manufacturers at their production lines every day. FOD can put pilots, passengers and other crews' lives into high-risk. FOD refers to any type of foreign object, particle, debris or agent in the manufacturing environment, which could contaminate/damage the product or otherwise undermine quality standards. Nowadays, FOD is currently addressed with prevention programs, elimination techniques, and designation of FOD areas, controlled access to FOD areas, restrictions of personal items entering designated areas, tool accountability, etc. All of the efforts mentioned before, have not shown a significant …

Part Detection And Classification Using Integrated Machine Vision And Knowledge Based Expert System, Cristian Giovanni Lopez Ulloa

Open Access Theses & Dissertations

Manufacturing cost is a topic of interest in the automotive manufacturing industry. Even though rework and repair methods are acceptable processes in manufacturing, there is little investigation done on the classification and cost parameters of a repairable or re-workable part. Having a non-conforming part indicates a loss in revenue to a manufacturing company, thus the need to repair or rework the part. Repair and rework processes take non-conforming products of a manufacturing line and bring the parts back to conforming stage. In this study, the proposed system establishes a connection between detection of defects, classification of them based on defect …

Human Capital Management Within The Federal Government Utilizing Generational Stratification With A Focus On Generation Y, Ian Nathaniel Barford

Engineering Management & Systems Engineering Theses & Dissertations

With many individuals in the Baby Boomer generation eligible to retire, many open positions will need to be filled by other Baby Boomers, or those from Generation X or Generation Y. Private industry has taken note of this and has been exploring workplace differences between Generation Y, Generation X, and Baby Boomers. Unfortunately for the federal government, data shows Generation Y is also separating; specifically quitting for unknown reasons. Understanding this apparent dichotomy between Generation Y and Generation X and Baby Boomer federal government employees is a current knowledge gap within the federal government's strategic human capital management focus.

From …

Fuzzy Optimization Of Acknowledged System Of Systems Meta-Architectures For Agent Based Modeling Of Development, Louis Pape, Siddhartha Agarwal, Kristin Giammarco, Cihan Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Acknowledged systems of systems (SoS) lie on a continuum between authoritarian central control and anarchy. The constituent systems are independent, with a life and purpose of their own. The systems require not only technical interfaces, but also social interactions, to create the SoS. A fuzzy optimization process may be used to select a desirable SoS configuration, but it may be unachievable due to the inability to persuade the systems to cooperate in the plan. Modeling the systems' internal decision processes could help understand how to design better SoS architectures. This research used generic, modular modeling processes to examine two proposed …

Generic Instance-Specific Automated Parameter Tuning Framework, Linda Lindawati

Dissertations and Theses Collection (Open Access)

Meta-heuristic algorithms play an important role in solving combinatorial optimization problems (COP) in many practical applications. The caveat is that the performance of these meta-heuristic algorithms is highly dependent on their parameter configuration which controls the algorithm behaviour. Selecting the best parameter configuration is often a difficult, tedious and unsatisfying task. This thesis studies the problem of automating the selection of good parameter configurations. Existing approaches to address the challenges of parameter configuration can be classified into one-size-fits-all and instance-specific approaches. One-size-fits-all approaches focus on finding a single best parameter configuration for a set of problem instances, while instance-specific approaches …

Neuromodulation Based Control Of Autonomous Robots On A Cloud Computing Platform, Cameron Muhammad

College of Graduate Studies: Theses & Dissertations

In recent years, the advancement of neurobiologically plausible models and computer networking has resulted in new ways of implementing control systems on robotic platforms. The work presents a control approach based on vertebrate neuromodulation and its implementation on autonomous robots in the open-source, open-access environment of robot operating system (ROS). A spiking neural network (SNN) is used to model the neuromodulatory function for generating context based behavioral responses of the robots to sensory input signals. The neural network incorporates three types of neurons- cholinergic and noradrenergic (ACh/NE) neurons for attention focusing and action selection, dopaminergic (DA) neurons for rewards- and …

Autonomous Capabilities For Small Unmanned Aerial Systems Conducting Radiological Response: Findings From A High-Fidelity Discovery Experiment, Brittany Duncan, Robin Murphy

School of Computing: Faculty Publications

This article presents a preliminary work domain theory and identifies autonomous vehicle, navigational, and mission capabilities and challenges for small unmanned aerial systems (SUASs) responding to a radiological disaster. Radiological events are representative of applications that involve flying at low altitudes and close proximities to structures. To more formally understand the guidance and control demands, the environment in which the SUAS has to function, and the expected missions, tasks, and strategies to respond to an incident, a discovery experiment was performed in 2013. The experiment placed a radiological source emitting at 10 times background radiation in the simulated collapse of …

An Instrument To Assess Individual Capacity For System Thinking, Ra'ed M. Jaradat

Engineering Management & Systems Engineering Theses & Dissertations

The purpose of this research was to develop and deploy a new systems thinking instrument to assess individual capacity for systems thinking using an inductive research design. While technology has been increasing exponentially, the corresponding methods to harness those technological advances, and the problems they have spawned, is lagging. While there is a broad collection of systems based methods, techniques, technologies, and tools that can be used in dealing with complex problems, these are predicated on an individual's capacity for engaging a level of systems thinking commensurate with their effective, deployment. Research based methods to determine individual capacity for systems …

Prioritizing Offshore Vendor Selection Criteria For The North American Geospatial Industry, Simon Wolfgang Musaeus

Walden Dissertations and Doctoral Studies

The U.S. market for geospatial services totaled US $2.2 billion in 2010, representing 50% of the global market. Data-processing firms subcontract labor-intensive portions of data services to offshore providers in South and East Asia and Eastern Europe. In general, half of all offshore contracts fail within the first 5 years because one or more parties consider the relationship unsuccessful. Despite the high failure rates, no study has examined the offshore vendor selection process in the geospatial industry. The purpose of this study was to determine the list of key offshore vendor selection criteria and the efficacy of the analytic hierarchy …

A Study Of The Effect Of Basic Network Characteristics On System-Of-System Failure Propagation, Charles O. Adler, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Real life examples of large system level failures in complex networked system are fairly common, with national and regional level power grids providing numerous cases where local failures have resulted in broad systemic failures. As large networked systems-of-systems are increasingly common, their susceptibility to large scale failures is of significant interest. This paper presents the results of a study using a simple model to investigate the impacts of basic architecture characteristics on the spread of failures through a system-of-system after an initial failure occurs. The study reported here uses a non-symmetric inter-grid only failure model to investigate the sensitivity of …

Rmse-Elm: Recursive Model Based Selective Ensemble Of Extreme Learning Machines For Robustness Improvement, Bo Han, Bo He, Mengmeng Ma, Tingting Sun, Tianhong Yan, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

For Blended Data, the Robustness of Extreme Learning Machine (Elm) is So Weak Because the Coefficients (Weights and Biases) of Hidden Nodes Are Set Randomly and the Noisy Data Exert a Negative Effect. to Solve This Problem, a New Framework Called "RMSE-ELM" is Proposed in This Paper. It is a Two-Layer Recursive Model. in the First Layer, the Framework Trains Lots of Elms in Different Ensemble Groups Concurrently and Then Employs Selective Ensemble Approach to Pick Out an Optimal Set of Elms in Each Group, Which Can Be Merged into a Large Group of Elms Called Candidate Pool. in the …

Fast Feature Selection In A Gpu Cluster Using The Delta Test, Alberto Guillén, M. Isabel García Arenas, Mark Van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas

Engineering Management and Systems Engineering Faculty Research & Creative Works

Feature or Variable Selection Still Remains an Unsolved Problem, Due to the Infeasible Evaluation of All the Solution Space. Several Algorithms based on Heuristics Have Been Proposed So Far with Successful Results. However, These Algorithms Were Not Designed for Considering Very Large Datasets, Making their Execution Impossible, Due to the Memory and Time Limitations. This Paper Presents an Implementation of a Genetic Algorithm that Has Been Parallelized using the Classical Island Approach, But Also Considering Graphic Processing Units to Speed Up the Computation of the Fitness Function. Special Attention Has Been Paid to the Population Evaluation, as Well as to …

Long-Term Time Series Prediction Using Op-Elm, Alexander Grigorievskiy, Yoan Miche, Anne Mari Ventelä, Eric Séverin, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, an Optimally Pruned Extreme Learning Machine (Op-Elm) is Applied to the Problem of Long-Term Time Series Prediction. Three Known Strategies for the Long-Term Time Series Prediction I.e. Recursive, Direct and Dirrec Are Considered in Combination with Op-Elm and Compared with a Baseline Linear Least Squares Model and Least-Squares Support Vector Machines (Ls-Svm). among These Three Strategies Dirrec is the Most Time Consuming and its Usage with Nonlinear Models Like Ls-Svm, Where Several Hyperparameters Need to Be Adjusted, Leads to Relatively Heavy Computations. It is Shown that Op-Elm, Being Also a Nonlinear Model, Allows Reasonable Computational Time for …

A Contingency Base Camp Framework Using Model Based Systems Engineering And Adaptive Agents, Dustin Scott Nottage

Doctoral Dissertations

"This research investigates the use of adaptive agents and hybridization of those agents to improve resource allocation in dynamic systems and environments. These agents are applied to contingency bases in an object oriented approach utilizing Model-based Systems Engineering (MBSE) processes and tools to accomplish these goals. Contingency bases provide the tools and resources for the military to perform missions effectively. There has been increasing interest in improving the sustainability and resilience of the camps, as inefficiencies in resource usage increases. The increase in resource usage leads to additional operational costs and added danger to military personnel guarding supply caravans.

The …

การศึกษากลยุทธ์ทางธุรกิจของมิเตอร์อัจฉริยะ, ธนพินท์ มังคละภาณุพงศ์

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์เล่มนี้เป็นการศึกษาแผนกลยุทธ์ทางธุรกิจของมิเตอร์อัจฉริยะ ที่ใช้ Balanced Scorecard ในการแปลงกลยุทธ์ไปสู่ภาคปฏิบัติ โดยมีวัตถุประสงค์เพื่อหาดัชนีชี้วัด (Key Performance Indicator: KPI) และ ปัจจัยหลักแห่งความสำเร็จ (Critical Success Factor: CSF) สำหรับขั้นตอนในการทำ Balanced Scorecard จะเริ่มจากการกำหนดวิสัยทัศน์ และพันธกิจ ของธุรกิจมิเตอร์อัจฉริยะ หลังจากนั้นทำการวิเคราะห์ SWOT Analysis แล้วจับคู่ให้อยู่ในรูป TOWS Matrix เพื่อหาวัตถุประสงค์และตัวชี้วัดในการจัดทำแผนที่เชิงกลยุทธ์ (Strategy Map) โดยมีกรอบการวัดและประเมินผลของธุรกิจ ผ่านมุมมองการวัดผล 4 ด้าน คือ มุมมองการเรียนรู้และการเติบโต มุมมองกระบวนการภายใน มุมมองด้านลูกค้า และมุมมองด้านการเงิน โดยมีดัชนีชี้วัดทั้งหมด 32 ตัว และมีปัจจัยหลักแห่งความสำเร็จทั้งหมด 20 ตัว ตัวอย่างเช่นดัชนีชี้วัดและปัจจัยหลักสู่ความสำเร็จของมุมมองด้านการเรียนรู้และเติบโตคือ ความปลอดภัยของพนักงาน และจำนวนครั้งของการเกิดอุบัติเหตุในสายการผลิต มุมมองด้านกระบวนการภายในคือ อัตราของเสียจากการผลิตและจำนวนของเสียที่เกิดขึ้นในสายการผลิต มุมมองด้านลูกค้า คือ อัตราการส่งคืนสินค้าและจำนวนมิเตอร์อัจฉริยะที่ถูกส่งคืน และมุมมองด้านการเงิน คือ อัตราส่วนรายได้ในส่วนของลูกค้ารายใหม่และจำนวนลูกค้ารายใหม่ที่เพิ่มขึ้น โดยขั้นตอนสุดท้ายจะเป็นการกำหนดแผนปฏิบัติการ (Action Plan) ของธุรกิจเพื่อกำหนดหน้าที่ความรับผิดชอบ ขั้นตอนในการดำเนินงาน การควบคุมและติดตามผลการดำเนินงาน ผลจากการศึกษาโดยการสำรวจความคิดเห็นจากผู้เชี่ยวชาญพบว่า แผนยุทธศาสตร์และกลยุทธ์จะใช้ได้ในช่วงการเริ่มต้นธุรกิจ โดยมีแบบแผนปฎิบัติการในการควบคุมการดำเนินงานตามตัวชี้วัดในแต่ละมุมมอง

การศึกษาปัจจัยที่ก่อให้เกิดตามดในกระบวนการหล่อฉีดแรงดันสูง, แพรวดี แก้วคงคา

Chulalongkorn University Theses and Dissertations (Chula ETD)

วัตถุประสงค์ของงานวิจัยนี้คือการศึกษาปัจจัยที่ส่งผลต่อตามดในกระบวนการหล่อฉีดแรงดันสูงอลูมิเนียม R14 สำหรับคอมเพรสเซอร์ของชิ้นส่วนยานยนต์ ที่แรงดันในการฉีด 75 ถึง 85 เมกกาปาสคาล ความเร็วในการเคลื่อนที่ของลูกสูบที่ความเร็วต่ำ 0.16 ถึง 0.30 เมตรต่อวินาที ความเร็วในการเคลื่อนที่ของลูกสูบที่ความเร็วสูง 1.8 ถึง 3.0 เมตรต่อวินาที ระยะที่ลูกสูบเคลื่อนที่ด้วยความเร็วสูง 320 ถึง 340 มิลลิเมตร และแรงดันสุญญากาศ -93.0 ถึง -100.0 กิโลปาสคาล โดยการตรวจสอบการวิเคราะห์พื้นผิวตอบสนองกับวิธีบ็อกซ์-เบหน์เคน การออกแบบเพื่อศึกษาปัจจัยและความสัมพันธ์ของพารามิเตอร์และหาสภาวะที่เหมาะสมเพื่อลดสัดส่วนตามดให้เกิดขึ้นน้อยที่สุด จากผลการทดลองพบว่าทั้ง 5 ปัจจัยมีอิทธิพลต่อการเกิดข้อบกพร่องประเภทตามดอย่างมีนัยสำคัญที่ระดับความเชื่อมั่น 95 เปอร์เซ็นต์ ส่งผลให้สัดส่วนของเสียตามดลดลงเหลือ 5.18 เปอร์เซ็นต์จากการตั้งค่าสภาวะที่เหมาะสมจากการทดลองได้แก่ แรงดันในการฉีดคือ 85 เมกกะปาสกาล การเคลื่อนที่ของลูกสูบที่ความเร็วต่ำคือ 0.30 เมตรต่อวินาที การเคลื่อนที่ของลูกสูบที่ความเร็วสูงคือ 2.49 เมตรต่อวินาที ระยะที่ลูกสูบเคลื่อนที่ด้วยความเร็วสูงคือ 326.81 มิลลิเมตร และแรงดันสุญญากาศที่ -97.28 กิโลปาสกาล

Risk Minimization Of Disjunctive Temporal Problem With Uncertainty, Hoong Chuin Lau, Tuan Anh Hoang

Research Collection School Of Computing and Information Systems

The Disjunctive Temporal Problem with Uncertainty (DTPU) is a fundamental problem that expresses temporal reasoning with both disjunctive constraints and contingency. A recent work (Peintner et al, 2007) develops a complete algorithm for determining Strong Controlla- bility of a DTPU. Such a notion that guarantees 100% confidence of execution may be too conservative in practice. In this paper, following the idea of (Tsamardinos 2002), we are interested to find a schedule that minimizes the risk (i.e. probability of failure) of executing a DTPU. We present a problem decomposition scheme that enables us to compute the probability of failure efficiently, followed …

Naval Aviation Squadron Risk Analysis Predictive Bayesian Network Modeling Using Maintenance Climate Assessment Survey Results, Harry Michael Robinson

Computational Modeling & Simulation Engineering Theses & Dissertations

Associated risks in flying have resulted in injury or death to aircrew and passengers, and damage or destruction of the aircraft and its surroundings. Although the Naval Aviation's flight mishap rate declined over the past 60 years, the proportion of human error causal factors has stayed relatively constant at about 80%. Efforts to reduce human errors have focused attention on understanding the aircrew and maintenance actions occurring in complex systems.

One such tool has been the Naval Aviation squadrons' regular participation in survey questionnaires deigned to measure respondent ratings related to personal judgments or perceptions of organizational climate for meeting …

A Production Planning System For A Lubricating Oil Production Company, Panisorn Saerevatanawoot

Chulalongkorn University Theses and Dissertations (Chula ETD)

The objective of this research is to develop a production planning system for a lubricating oil company. The company is facing a problem of excessive inventory of finished goods and packaging materials resulting from the minimum stock levels that were established by its customer. The scope of the system covers class A products, consisting of 14 of 45 products in the company, and their packaging materials. The causes of the inventory problem were brainstormed with the use of Cause-and-Effect Diagram, then the Cause-and-Effect Matrix was used to identify potential root causes. It was concluded that master production schedule (MPS) of …