Operations Research, Systems Engineering and Industrial Engineering Commons^™

Chemical Storage Of Wind Energy By Renewable Methanol Production: Feasibility Analysis Using A Multi-Criteria Decision Matrix, Michael J. Matzen, Mahdi H. Alhajji, Yaşar Demirel

Department of Chemical and Biomolecular Engineering: Faculty Publications

This study is for the technoeconomic analysis of an integral facility consisting of wind energy-based electrolytic hydrogen production, bioethanol-based carbon dioxide capture and compression, and direct methanol synthesis. ASPEN Plus was used to simulate the facility producing 97.01 mt (metric tons) methanol/day using 138.37 mt CO₂/day and 18.56 mt H₂/day. A discounted cash flow diagram for the integral facility is used for the economic analysis at various hydrogen production costs and methanol selling prices. The feasibility analysis is based on a multi-criteria decision matrix consisting of economic and sustainability indicators comparing renewable and non-renewable methanol productions. …

Inventory Optimization In Manufacturing Organizations, Scott William Lemke

Walden Dissertations and Doctoral Studies

Inventories totaling 1.7 trillion U.S. dollars represent an opportunity for U.S. manufacturers. This exploratory case study researched supply chain strategies used to manage inventory in manufacturing operations of a U.S. manufacturing company. A mature value chain contained within a single organization using the value chain framework was the basis for this study. Individual interviews conducted with 16 managers responsible for defining and implementing inventory control strategies, and 4 internal users provided primary information for the study. Other sources of information included a value chain map created through the observation of operations, various inventory measurements, and policies and guidelines related to …

Efficient Skin Segmentation Via Neural Networks: Hp-Elm And Bd-Som, C. Swaney, A. Akusok, K. M. Björk, Y. Miche, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

This Paper Presents Two Novel Methods for Skin Detection: Hp-Elm and Bd-Som. Both Som and Elm Are Fast for Large Data Sets, But Not Yet Suitable for Big Data. We Show How They Can Be Improved in Order to Fulfill the Strict Requirements for Big Data. Both New Methods Are Described and their Implementations Are Explained. a Comparison on a Large Example is Presented in the Experiment Section. We Find that Bd-Som is More Accurate but Not as Computationally Efficient as Hp-Elm. as a Result, We Show that Both Methods Work Well on a Big Data Task. the Given Task …

High-Performance Extreme Learning Machines: A Complete Toolbox For Big Data Applications, Anton Akusok, Kaj Mikael Bjork, Yoan Miche, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

This Paper Presents a Complete Approach to a Successful Utilization of a High-Performance Extreme Learning Machines (Elms) Toolbox for Big Data. It Summarizes Recent Advantages in Algorithmic Performance; Gives a Fresh View on the Elm Solution in Relation to the Traditional Linear Algebraic Performance; and Reaps the Latest Software and Hardware Performance Achievements. the Results Are Applicable to a Wide Range of Machine Learning Problems and Thus Provide a Solid Ground for Tackling Numerous Big Data Challenges. the Included Toolbox is Targeted at Enabling the Full Potential of Elms to the Widest Range of Users.

Extreme Learning Machine On High Dimensional And Large Data Applications, Zhiping Lin, Jiuwen Cao, Tao Chen, Yi Jin, Zhan Li Sun, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

Particle Swarm Optimization Based Selective Ensemble Of Online Sequential Extreme Learning Machine, Yang Liu, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

A Novel Particle Swarm Optimization based Selective Ensemble (PSOSEN) of Online Sequential Extreme Learning Machine (OS-ELM) is Proposed. It is based on the Original OS-ELM with an Adaptive Selective Ensemble Framework. Two Novel Insights Are Proposed in This Paper. First, a Novel Selective Ensemble Algorithm Referred to as Particle Swarm Optimization Selective Ensemble is Proposed, noting that PSOSEN is a General Selective Ensemble Method Which is Applicable to Any Learning Algorithms, Including Batch Learning and Online Learning. Second, an Adaptive Selective Ensemble Framework for Online Learning is Designed to Balance the Accuracy and Speed of the Algorithm. Experiments for Both …

Defensive Routines In Engineering Managers And Non-Engineering Managers -- A Case Analysis, Tyria Riley, Elizabeth A. Cudney

Engineering Management and Systems Engineering Faculty Research & Creative Works

There is a perception that engineers experience challenges in areas such as communication, conflict resolution, and leadership. Defensive routines are actions implemented as a result of being in an embarrassing or threatening situation. This research uses a case study approach to measure whether defensive routines are more common in engineering managers or non-engineering managers. Twenty-seven managers created case studies based on their unique experiences as managers. These case studies were scored, and the results of this research indicate that engineering managers employ defensive routines more commonly than non-engineering managers.

Detection And Recognition Of R/F Devices Based On Their Unintended Electromagnetic Emissions Using Stochastic And Computational Intelligence Methods, Shikhar Prasad Acharya

Doctoral Dissertations

"Radio Frequency (RF) devices produce some amount of Unintended Electromagnetic Emissions (UEEs). UEEs are generally unique to a device and can be thought of as a signature of the device. This property of uniqueness of UEEs can be used to detect and identify the device producing the emission. The problem with UEEs is that they are very low in power and are often buried deep inside the noise band which makes them difficult to detect. There are two types of UEE detection methods. The first one is called stimulated detection method where the UEEs of a device are enhanced using …

Quantum Inspired Algorithms For Learning And Control Of Stochastic Systems, Karthikeyan Rajagopal

Doctoral Dissertations

"Motivated by the limitations of the current reinforcement learning and optimal control techniques, this dissertation proposes quantum theory inspired algorithms for learning and control of both single-agent and multi-agent stochastic systems.

A common problem encountered in traditional reinforcement learning techniques is the exploration-exploitation trade-off. To address the above issue an action selection procedure inspired by a quantum search algorithm called Grover's iteration is developed. This procedure does not require an explicit design parameter to specify the relative frequency of explorative/exploitative actions.

The second part of this dissertation extends the powerful adaptive critic design methodology to solve finite horizon stochastic optimal …

Preliminary Investigation Into The Cause Of Pinhole Porosity In Aluminum Metal Castings From Serpentine Impurities In Olivine Sand, Brodie J. Biersner

Dissertations and Theses @ UNI

The problem addressed in this study is how contaminates in the foundry molding aggregate olivine, affect aluminum castings during the casting process. This research will concentrate on hydrated contaminates, specifically the mineral serpentine. The purpose of this research is to better understand how hydrated minerals contribute to the generation of pinhole porosity defects during the casting process. Understanding how impurities in foundry aggregates affect the casting process would aid in the reduction of scrap caused by core and molding sands, ultimately providing savings to the casting manufacturer.

A foundry grade olivine was compared to a new source of olivine to …

Enhancing Safety Management System In An Offshore Aviation Company, Nazmus Saqib

Chulalongkorn University Theses and Dissertations (Chula ETD)

The main aim of the research is to enhance the safety management system through the introduction and tracking of safety performance indicator “non-compliance per flight hour”. All the non-compliances related to the main operational departments were gathered from the data base of the case study company for the year 2014. It was found that the non-compliances per flight hour were highest from the Aircraft Maintenance Department with the exact number being 3.30 non-compliances per flight hour. The scope of this research was therefore focused on the Aircraft Maintenance Department. Aircraft maintenance is a large department so the next step in …

Improvement Of Flat Concrete Roof Tile Manufacturing Process, Korkiat Wiratkapan

Chulalongkorn University Theses and Dissertations (Chula ETD)

The objective of this research is to improve the manufacturing process of a concrete roof tile manufacturing company to solve its problems of low labour productivity, rising labour costs and scarcity of labour. Initial analysis established that press forming was a bottleneck in the overall process and used the most manpower. Process activity mapping and Work study were used as tools to analyse the problems to identify non-value-added activities. The seven wastes technique was then applied to define the wastes in the manufacturing process. Improvement alternatives were identified with the aid of the ECRS technique and Lean tools, and these …

Relationship Between Product Quality And Customer Satisfaction, Albert Vitales Cruz

Walden Dissertations and Doctoral Studies

The National Safety Council (NSC) estimated that over 35,000 people died in U.S. traffic accidents. About 3.8 million traffic crash injuries requiring medical attention occurred in 2013, and the number of deaths was about the same over the last 5 years. The NSC found that product recalls, car repairs, injuries, and deaths were due to unsafe product designs or inferior product quality. These statistics underscore the challenge of producing quality vehicles while satisfying customers. The purpose of this nonexperimental study was to examine relationships among product (vehicle) quality, product cost, product safety, and consumer satisfaction. The hypotheses inquired the extent …

Using The Delta-Model For End-Stage Liver Disease To Improve The Decision-Making Process For The Donor Liver System, Joanne Chin

Walden Dissertations and Doctoral Studies

The purpose of this experimental research was to determine whether using delta-MELD as a criterion for the liver transplant patient selection process could improve the U.S. liver allocation system. This research closed a gap in current literature on the utility of delta-MELD for liver transplant patient selection. The frameworks of systems theory, the analytic hierarchy process, and the Kalman filter contributed to the development of 2 simulation models of the liver allocation system: one that used delta-MELD and one that did not use delta-MELD. The research question examined whether using delta-MELD could improve the liver allocation system by reducing the …

Retaining Behavioral Healthcare Employees Of The Millennial Generation, David W. Gomel

Walden Dissertations and Doctoral Studies

As a result of the passage of the Affordable Care Act, the behavioral healthcare field is experiencing an increased demand for services. This increase is based on the availability of healthcare coverage to an estimated 13.4 million previously uninsured individuals. To meet this demand for treatment, the workforce of behavioral health therapists must grow. The largest generation entering the workforce, the Millennial Generation - those born after 1980 - is believed to lack commitment to their employers, frequently vacating their positions for the next best offer. The purpose of this case study was to determine factors that both affect retention …

A Comparison Of Combined Overlap Block Fuzzy Cognitive Maps (Cobfcm) And Combined Overlap Block Neutrosophic Cognitive Map (Cobncm) In Finding The Hidden Patterns And Indeterminacies In Psychological Causal Models: Case Study Of Adhd, Hojjatollah Farahani, Florentin Smarandache, Lihshing Leigh Wang

Branch Mathematics and Statistics Faculty and Staff Publications

In spite of researchers’ concerns to find causalities, reviewing the literature of psychological studies one may argue that the classical statistical methods applied in order to find causalities are unable to find uncertainty and indeterminacies of the relationships between concepts.

In this paper, we introduce two methods to find effective solutions by identifying “hidden” patterns in the patients’ cognitive maps. Combined Overlap Block Fuzzy Cognitive Map (COBFCM) and Combined Overlap Block Neutrosophic Map (COBNCM) are effective when the number of concepts can be grouped and are large in numbers. In the first section, we introduce COBFCM, COBNCM, their applications, and …

Designing A Portfolio Of Parameter Configurations For Online Algorithm Selection, Aldy Gunawan, Hoong Chuin Lau, Mustafa Misir

Research Collection School Of Computing and Information Systems

Algorithm portfolios seek to determine an effective set of algorithms that can be used within an algorithm selection framework to solve problems. A limited number of these portfolio studies focus on generating different versions of a target algorithm using different parameter configurations. In this paper, we employ a Design of Experiments (DOE) approach to determine a promising range of values for each parameter of an algorithm. These ranges are further processed to determine a portfolio of parameter configurations, which would be used within two online Algorithm Selection approaches for solving different instances of a given combinatorial optimization problem effectively. We …

A Framework And System For A Multi-Model Decision Aid For Sustainable Farming Practices, Kasi Bharath Vegesana

Computational Modeling & Simulation Engineering Theses & Dissertations

Decision support systems (DSS) for farmers address the need for modeling multiple processes and scenarios that affect farmer decision making. Existing DSS have various drawbacks that stop them from being deployed as decision support tools. This research proposes a multi-model simulation framework that can be used to analyze farm management practices at the crop level, individual farm level and at the community level to show the impact and alternatives for smallholder farming practices. A generic crop growth model is proposed, based on existing equations. We run sensitivity analysis on the model to identify important variables. The outputs from the crop …

Neutrosophic Precalculus And Neutrosophic Calculus, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Neutrosophic Analysis is a generalization of Set Analysis, which in its turn is a generalization of Interval Analysis.

Neutrosophic Precalculus is referred to indeterminate staticity, while Neutrosophic Calculus is the mathematics of indeterminate change.

The Neutrosophic Precalculus and Neutrosophic Calculus can be developed in many ways, depending on the types of indeterminacy one has and on the methods used to deal with such indeterminacy.

In this book, the author presents a few examples of indeterminacies and several methods to deal with these specific indeterminacies, but many other indeterminacies there exist in our everyday life, and they have to be studied …

การวัดประสิทธิภาพเชิงเปรียบเทียบของคณะวิศวกรรมศาสตร์ จุฬาลงกรณ์มหาวิทยาลัย, วนัชพร สืบปรุ

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยชิ้นนี้มีวัตถุประสงค์เพื่อวัดประสิทธิภาพการทำงานของคณะวิศวกรรมศาสตร์ จุฬาลงกรณ์มหาวิทยาลัย โดยการประยุกต์ใช้ข้อมูลตัวชีวัดผลการดำเนินงาน (KPI) ปี 2558 ร่วมกับวิธีการล้อมกรอบข้อมูล (Data Envelopment Analysis : DEA) โดย DEA นั้นเป็นการวัดค่าประสิทธิภาพเชิงเปรียบเทียบซึ่งเป็นการวัดอัตราส่วนของปัจจัยนำเข้าและปัจจัยผลผลิต DEA เหมาะสำหรับองค์กรที่ไม่แสวงหาผลกำไร ทำให้ DEA ได้รับความนิยมเป็นอย่างยิ่ง ผลลัพธ์ที่ได้จาก DEA เรียกว่า ค่าประสิทธิภาพ โดยมีค่าตั้งแต่ 0 ถึง 1 ถ้าค่าประสิทธิภาพเชิงเเปรียบเทียบ ยิ่งมีค่ามาก ยิ่งแสดงถึงความมีประสิทธิภาพของหน่วยงานนั้น สำหรับงานวิจัยในครั้งนี้ ขอบเขตงานวิจัยคือ สำนักงานหลักสูตรวิศวกรรมนานาชาติและภาควิชาทั้ง 12 ภาควิชา งานวิจัยชิ้นนี้ได้แบ่งการวัดประสิทธิภาพออกเป็น 3 แบบ คือ การวัดประสิทธิภาพด้านการเรียน การวัดประสิทธิภาพด้านการสอน และการวัดประสิทธิภาพโดยรวม เมื่อทำการวัดประสิทธิภาพแล้ว จะทำให้ทราบว่าแต่ละหน่วยงาน มีประสิทธิภาพการทำงานเป็นอย่างไร นอกจากนี้ ยังสามารถบอกได้ถึงค่าปัจจัยต่างๆที่ควรลดหรือเพิ่มเพื่อให้การดำเนินงานเป็นไปอย่างมีประสิทธิภาพมากขึ้น เมื่อได้วิเคราะห์ข้อมูลด้วยเทคนิคการล้อมกรอบข้อมูลพบว่า เมื่อวัดประสิทธิภาพด้านการสอน พบว่า 7 ภาควิชา (คิดเป็น 53.85%) มีประสิทธิภาพด้านการสอน สำหรับด้านการวิจัย 12 ภาควิชา (คิดเป็น 92.31%) มีประสิทธิภาพในด้านการวิจัย และเมื่อวัดประสิทธิภาพโดยรวม ภาควิชาที่มีประสิทธิภาพ มีทั้งสิ้น 12 ภาควิชา (คิดเป็น 92.31%)