Operations Research, Systems Engineering and Industrial Engineering Commons^™

Innovativeness To Enlarge Digital Readiness - How To Avoid Digital Inertia?, Paul Morsch

Journal of International Technology and Information Management

Technological developments go fast and are interrelated and multi-interpretable. As consumer needs change, the technological possibilities to meet those needs are constantly evolving and new technology providers introduce new disruptive business models. This makes it difficult to predict what the world of tomorrow will look like for an organization and that makes the risks for organizations substantial. In this context, it is difficult for organizations to determine what constitutes a good strategy to adopt digital developments.

This paper describes a first step of a study with the objective to design a method for organizations to formulate a future-proof strategy in …

Analyzing Social Media Implementation In Hospitals In The U.S. Midwest Region, Dalsang Chung, C. Christopher Lee, David Hwang

Journal of International Technology and Information Management

The purpose of this research is to explore to what scale hospitals are adopting social media and implementing it in accordance with hospital characteristics. We reviewed hospitals’ social media activities on social networking sites such Facebook, Twitter, Instagram, and YouTube. We studied the 912 hospitals in the Midwest region reported in the 2015 American Hospital Association Annual Survey dataset. We reviewed each hospital’s social-networking page to understand the scale of social media adoption relative to the hospital’s characteristics such as bed count, state, ownership type (control), and specialty (service). We also considered whether the hospital is in a network and …

Exploring The Behavioral Intention To Use Collaborative Commerce: A Case Of Uber, C. Christopher Lee, Sinéad Ruane, Hyoun Sook Lim, Ruoquing Zhang, Heechang Shin

Journal of International Technology and Information Management

The goal of our research study is to develop a hybrid instrument built on the revised Unified Theory of Acceptance and Use of Technology (UTAUT2) framework, which is reliable in predicting the behavioral intention to use the Uber ridesharing app. It focuses on extending the UTAUT2 in collaborative consumption, particularly from a consumer and ridesharing-app perspective. Our proposed framework, UTAUT-CC, preserves existing UTAUT2 constructs – performance expectancy, effort expectancy, social expectancy, and facilitating conditions. It also retains demographic moderating variables of age and gender, while maintaining some of the key integral relationships depicted in those models. We integrated three new …

Neural Signatures Of Human Perception Of Effort And Comfort In Isometric Arm Force Exertions By Males, Raul Fernandez Sumano

Electronic Theses and Dissertations, 2020-2023

Understanding the brain's electrical activity provides objective evidence of different psychophysical phenomena related to manual handling tasks. The primary objective of this research was to assess the neural signatures of human physical efforts and perceived comfort in isometric arm exertions. Two experiments were conducted with male participants (n=20) who applied isometric forces at 1) different levels of exertion and 2) different levels of physical comfort. EEG signals, the rate of perceived exertion (RPE), and the rate of perceived physical comfort (RPC) have been recorded. The results showed statistically significant differences in EEG's power spectral density (PSD) at different brain regions …

Machine Learning For Measuring And Analyzing Online Social Communications, Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, We Propose a Framework for Application of a Novel Machine Learning-Based System for Analyzing Online Social Communications. as an Example, We Are Targeting Anti-Semitic Graphical Memes Posted to Social Media. We Presented Very Promising Preliminary Results on a Facebook Dataset that Consists of a Total of 10000 Labeled Memes. We Can Conclude that Machine Learning Will Soon Be Able to Successfully Analyze and Monitor Complex Social Communications.

Particle Swarm Optimization And Ant Colony Optimization For Bi-Objective Optimization For A Single Batch Processing Machine, Sajith Gopinathan

Graduate Research Theses & Dissertations

This research studies the scheduling of jobs with unequal ready times, unequal processing times, and unequal sizes on a single batch processing machine, with the objectives of minimizing makespan and maximum tardiness. For the batch process, the jobs are required to be grouped into batches and further these batches are scheduled on the machine to minimize the objectives, without violating the machine capacity. The problem under study can be denoted as 1|p-batch, sj, rj| Cmax,Tmax in the standard three-field notation. A thorough review of literature pertinent to the field of research has been conducted and two new approaches have been …

Models And Solution Approaches For Integrated Student To School Assignment And School Bus Routing Problem Focusing On Special Needs Students, Azadeh Ansari

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation addresses the integrated problem of assigning students to schools and generating school bus routes particularly focusing on the special needs students is addressed. Special needs students generally require supplementary accommodations and must be picked up from and dropped off at their home addresses. This will increase the number of nodes in the network and therefore introduces additional complexities to the problems of assignment and routing for students. An integrated single objective mathematical model is first developed that simultaneously assigns the students to schools based on their needs and generates efficient bus routes to deliver the students to their …

Effect Of Feedrate, Depth Of Cut, Tool Material, And Toolpath On Dimensional Accuracy And Surface Roughness Of Milled Cfrp, Assem Hesham Almadani

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis investigates the effect of different factors on Carbon Fiber Reinforced Polymers (CFRP) milling, like feedrate, tool material, and cutting speed. CFRP offers excellent material properties, which led to the increase of the material in today's manufacturing industry. CFRP offers up to 2.25 times steel's modulus of elasticity at about a fifth of the weight and excellent thermal properties, which allow the use of this material in applications with high heat like automobiles. Many industries have implemented the use of CFRP in their applications, like airplanes and automobiles, which lead to a decrease in weight and increase in strength. …

Prediction Of Tensile Behaviors Of L-Ded 316 Stainless Steel Parts Using Machine Learning, Israt Zarin Era

Graduate Theses, Dissertations, and Problem Reports (ETD)

Directed energy deposition (DED) is a rising field in the arena of metal additive manufacturing and has extensive applications in aerospace, medical and rapid prototyping. The process parameters, such as laser power, scanning speed and specimen height, play a great deal in controlling and affecting the properties of DED fabricated parts. Nevertheless, both experimental and simulation methods have shown constraints and limited ability to generate accurate and efficient computational predictions on the correlations between the process parameters and the final part quality. In this work, a data driven machine learning model XGBoost has been built and applied to predict the …

Flipping The Classroom For Introduction To Probability And Statistics For Engineers, Philomena Krosmico

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction to Probability and Statistics for Engineers, IENG 213, is a foundational course in the Industrial Engineering curriculum at West Virginia University (WVU). The challenge has been finding the best teaching method to instill concept learning. A “flipped classroom” teaching style has been gaining momentum throughout higher education and has had proven success in STEM fields. At WVU, beginning with the 2016 Fall semester, the teaching model for the class used a flipped classroom style for one of the instructors. Data on statistical concept learning, using the University of Oklahoma validated statistics concept inventory instrument (Allen K., 2006), was collected …

Improving Real-Time Methane Monitoring In Longwall Coal Mines Through System Response Characterization Of A Multi-Nodal Methane Detection Network, Brian Philip Cappellini

Graduate Theses, Dissertations, and Problem Reports (ETD)

Machine automation and atmospheric monitoring are used by many industries to improve safety and productivity in the workplace. The underground Methane Watchdog System (MWS) is a multi-nodal network of sensors currently under development. The MWS aims to improve safety and productivity by introducing 10 compact sampling units designed to be easily integrated within the current roof support equipment of the mine. Each unit contains an array of sensors used to continuously monitor the environmental conditions which include methane concentration, temperature, pressure, and relative humidity. All MWS units report information back to a remote central processing hub (CPH) which collects nodal …

Identification Of Moving Bottlenecks In Production Systems, Funmilayo Mofoluwasola Adeyinka

Graduate Theses, Dissertations, and Problem Reports (ETD)

Manufacturing sector have been plagued by bottlenecks from time immemorial, leading to loss of productivity and profitability, various research effort has been expended towards identifying and mitigating the effects of bottlenecks on production lines. However, traditional approaches often fail in identifying moving bottlenecks. The current data boom and giant strides made in the machine learning field proffers an alternative means of using the large volume of data generated by machines in identifying bottlenecks. In this study, a hierarchical agglomerative clustering algorithm is used in identifying potential groups of bottlenecks within a serial production line.

A serial production line with five …

Sustainability Key Performance Indicators For Mass Customization, Md Fahid Hasan Pulak

Graduate Theses, Dissertations, and Problem Reports (ETD)

Today’s manufacturers are striving towards a more sustainable and customized product offering in their value chain to satisfy customer demand and compete on the marketplace. By adopting sustainability practices, companies are not only complying with environmental regulations but are strategically addressing the triple bottom line (TBL) of sustainability (environmental, social, and economic). Similarly, mass customization allows a company to better satisfy their customers by creating individualized products economically. Moving forward, it is important to better understand the relationship of these two competitive strategies. In order to assess the sustainability performance of mass customization, it is important to understand the appropriate …

A Transdisciplinary Analysis Of Just Transition Pathways To 100% Renewable Electricity, Adewale Aremu Adesanya

Dissertations, Master's Theses and Master's Reports

The transition to using clean, affordable, and reliable electrical energy is critical for enhancing human opportunities and capabilities. In the United States, many states and localities are engaging in this transition despite the lack of ambitious federal policy support. This research builds on the theoretical framework of the multilevel perspective (MLP) of sociotechnical transitions as well as the concept of energy justice to investigate potential pathways to 100 percent renewable energy (RE) for electricity provision in the U.S. This research seeks to answer the question: what are the technical, policy, and perceptual pathways, barriers, and opportunities for just transition to …

Goal Programming Approach For Bi-Objective Optimization For A Single Batch Processing Machine, Dheeban Kumar Srinivasan Sampathi

Graduate Research Theses & Dissertations

This research considers a real-time problem where jobs need to be batched and scheduled to a single batch processing machine to minimize makespan and maximum tardiness. Jobs must be placed in batches such that the machine capacity is not violated. The jobs considered have unequal ready times, unequal processing times, and unequal sizes. This research aims to develop an effective solution approach for the proposed problem. The problem under study can be denoted as 1|p-batch, sj, rj| Cmax, Tmax.

The problem under study is NP-Hard. A new Mixed Integer Linear Programming (MILP) formulation using Goal programming (MILP-G) and Column Generation …

Redeployment Of Athletic Trainers During A Pandemic, James Caiola

Clinical Practice in Athletic Training

Before COVID-19 was recognized as a global pandemic involving the United States of America in March of 2020, MedStar Health employed 40 Athletic Trainers (ATs) in multiple settings. While ATs worked in the traditional setting at 17 high schools, 2 universities, and with 2 professional teams in the Baltimore, MD and Washington, DC area, they also have been used in nontraditional ways. They are used in the physician practice setting to manage clinic flow, evaluate patients and present to the physician, provide pre- and post-surgical patient education, and being an overall patient point of contact in a busy clinic. They …

Table Of Contents Jitim Vol 30 Issue 1, 2021

Journal of International Technology and Information Management

Table of Content

Conference Proceedings Of The 32nd Annual Iima Conference

Journal of International Technology and Information Management

Conference Proceedings of the 32nd Annual IIMA Conference

In-Situ Process Monitoring For Metal Additive Manufacturing (Am) Through Acoustic Technique, Md Shahjahan Hossain

College of Graduate Studies: Theses & Dissertations

Additive Manufacturing (AM) is currently a widely used technology in different industries such as aerospace, medical, and consumer products. Previously it was mainly used for prototyping of the products, but now it is equally valuable for commercial product manufacturing. More profound understanding is still needed to track and identify defects during the AM process to ensure higher quality products with less material waste. Nondestructive testing becomes an essential form of testing for AM parts, where AE is one of the most used methods for in situ process monitoring. The Acoustic Emission (AE) approach has gained a reputation in nondestructive testing …

Evaluation Of Lidar Systems For Rock Mass Discontinuity Identification In Underground Stone Mines From 3d Point Cloud Data, Mario Alejandro Bendezu De La Cruz

Graduate Theses, Dissertations, and Problem Reports (ETD)

The goal of this thesis is to compare the accuracy and precision of the discontinuity identification results obtained by three active remote sensing technologies along with a point cloud processing program, and the results obtained by conventional methods. For this research, the active remote sensing devices were terrestrial LIDAR, mobile LiDAR with Simultaneous localization, and mapping (SLAM), and LIDAR/Camera on an autonomous UAV. The open-source point cloud data processing programs Discontinuity Set Extractor (DSE) and the Cloud Compare were used to process point cloud data.

The results of this research found that it is possible to identify certain geological structures …

Modeling, Optimization And Uncertainty Quantification Of Solids-Based Co2 Capture Technologies, Anca Ostace

Graduate Theses, Dissertations, and Problem Reports (ETD)

Solids-based carbon dioxide (CO₂)adsorption, where CO₂ is adsorbed under high pressure/low temperature and desorbed at low pressure/high temperature, is a low energy consumption capture technology with high carbon uptake efficiency. Chemical looping combustion (CLC), where a solid oxygen carrier (OC) transports oxygen between two high-temperature reactors – a fuel and an air reactor –, is a low energy penalty, fuel-flexible technology with inherent CO₂ capture for power/heat and syngas production.

In this work, state-of-the-art equation-oriented (EO) mathematical models of a fixed-bed (FxB) contactor for CO₂ adsorption and moving-bed (MB) reactors for gas-, and solid-fueled CLC …

The Implementation Of Energy Sharing Using A System Of Systems Approach, Julia Morgan

Doctoral Dissertations

"There is an increasing demand for renewable energy and consumers need more procurement options to meet their needs. Energy sharing provides a peer-to-peer (P2P) marketplace where prosumer electricity is redistributed to fellow energy-sharing community participants. This redistribution of prosumer electricity provides consumers with additional electricity suppliers, while also decreasing the load on the utility company. Though significant progress has been made regarding research and implementation of energy sharing, there is still room for growth when evaluating energy-sharing communities and defining appropriate community coordination based on end-user needs. The first contribution in this work identified nine characteristics of energy-sharing communities as …

Infrastructure Systems Modeling Using Data Visualization And Trend Extraction, Jacob Marshal Hale

Doctoral Dissertations

“Current infrastructure systems modeling literature lacks frameworks that integrate data visualization and trend extraction needed for complex systems decision making and planning. Critical infrastructures such as transportation and energy systems contain interdependencies that cannot be properly characterized without considering data visualization and trend extraction.

This dissertation presents two case analyses to showcase the effectiveness and improvements that can be made using these techniques. Case one examines flood management and mitigation of disruption impacts using geospatial characteristics as part of data visualization. Case two incorporates trend analysis and sustainability assessment into energy portfolio transitions.

Four distinct contributions are made in this …

Sensor Data Based Adaptive Models For Assembly Worker Training In Cyber Manufacturing, Md. Al-Amin

Doctoral Dissertations

“Production innovations are occurring faster than ever leading conventional production systems towards cyber manufacturing. Manufacturing workers thus need to frequently learn new methods and skills. In fast-changing, largely uncertain production systems, manufacturers with the ability to comprehend workers’ behavior and assess their operational performance in near real-time will achieve better performance than peers. Recognizing worker actions in near real-time while performing the assembly can serve this purpose. However, reliably recognizing the assembly actions performed by the workers is challenging, because the actions for assembly are complex and workers are not only heterogeneous but sensitive to the variation of the work …

An Equest Based Building Energy Modeling Analysis For Energy Efficiency Of Buildings, Saroj Lamichhane

Graduate Theses, Dissertations, and Problem Reports (ETD)

Building energy performance is a function of numerous building parameters. In this study, sensitivity analysis on twenty parameters is performed to determine the top three parameters which have the most significant impact on the energy performance of buildings. Actual data from two fully operational commercial buildings were collected and used to develop a building energy model in eQUEST. The model is calibrated using Normalized Mean Bias Error (NMBE) and Coefficient of Variation of Root Mean Square Error (CV(RMSE)) method. The model satisfies the NMBE and CV(RMSE) criteria set by the American Society of Heating, Refrigeration, and Air-Conditioning (ASHRAE) Guideline 14, …

Telehealth Optimization – Role Of Clinical Athletic Trainers In Orthopedic/Sports Medicine Practice, Katie Harbacheck, Laura Grambo, Shaun Keefer, Eric Klein, Christine Boyd, Carolyn Ford-Hemann, Cameron D’Alpe, Steve Frick, Kevin Shea

Clinical Practice in Athletic Training

Background: Prior to COVID-19, telehealth (TH) implementation in most health systems was minimal. The transition to high rates of TH was dramatic in response to COVID-19, and many health systems struggled to develop optimal, efficient TH workflows. Hypothesis/Purpose: The primary purpose of this study was to evaluate the role of clinically integrated athletic trainers (ATs) into the TH transition of a major orthopedic academic center through growth of TH visits as well as physician satisfaction. Methods: Workflows and tip sheets were designed to include considerations of TH visit increases, adoption of appropriate technology platforms and optimal staff models. The rapid …

Continuity Of Chen-Fliess Series For Applications In System Identification And Machine Learning, Rafael Dahmen, W. Steven Gray, Alexander Schmeding

Electrical & Computer Engineering Faculty Publications

Model continuity plays an important role in applications like system identification, adaptive control, and machine learning. This paper provides sufficient conditions under which input-output systems represented by locally convergent Chen-Fliess series are jointly continuous with respect to their generating series and as operators mapping a ball in an Lp-space to a ball in an Lq-space, where p and q are conjugate exponents. The starting point is to introduce a class of topological vector spaces known as Silva spaces to frame the problem and then to employ the concept of a direct limit to describe convergence. The proof of the main …

การปรับปรุงประสิทธิภาพพลังงานโดยการจัดตารางในการจ่ายน้ำมันของคลังน้ำมันแห่งหนึ่ง, ศุภณัฐ สีทา

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้นำเสนอการปรับปรุงประสิทธิภาพพลังงานโดยการจัดตารางการเติมน้ำมันให้กับรถบรรทุกน้ำมันที่เข้ามารับน้ำมันในคลังน้ำมันกรณีศึกษา โดยการจัดตารางการรับน้ำมันจะคำนึงถึงความสำคัญของปั๊มมากกว่าคำสั่งซื้อน้ำมัน และคำสั่งซื้อที่ถูกจัดตารางเป็นคำสั่งซื้อที่สามารถรับน้ำมันได้หลายชนิดในเวลาเดียวกัน ประกอบกับการใช้งานปั๊มที่ปั๊มแต่ละตัวสามารถจ่ายน้ำมันให้กับรถบรรทุกน้ำมัน 2-5 คันพร้อม ๆ กัน ซึ่งกระบวนการจัดตารางจะเป็นแบบฮิวริสติกพลวัต (Dynamic Heuristic) โดยอาศัยกฎ Least Operation Remaining และ Largest Total Processing Time ในการจัดลำดับความสำคัญของใบคำสั่งซื้อ และการจัดตารางเวลาที่คำนึงถึงจำนวนหัวจ่ายที่ถูกใช้งาน งานที่เหลืออยู่ในระบบ และการใช้พลังงานของปั๊มที่เปลี่ยนแปลงตามเวลา จากการจัดตารางด้วยฮิวริสติกพลวัตทั้งหมด 6 วิธี พบว่าค่าพลังงานที่ใช้ต่อปริมาณน้ำมัน 1 ลิตรลดลงร้อยละ 42 จากการใช้พลังงานเฉลี่ยเดิม 0.42 วัตต์ชั่วโมงต่อลิตร เหลือเพียง 0.24 วัตต์ชั่วโมงต่อลิตร มีผลให้ประหยัดค่าใช้จ่ายด้านพลังงานเฉลี่ยของปั๊มเป็นจำนวนเงิน 199,006.25 บาทต่อเดือน ทั้งนี้การจัดตารางดังกล่าวดำเนินการภายใต้กระบวนการจัดตารางที่รู้จำนวนงานล่วงหน้า ไม่มีการเปลี่ยนแปลงจำนวนงานระหว่างการจัดตาราง ที่ถูกออกแบบโดยการคำนึงถึงลักษณะทางกายภาพของคลังน้ำมันเป็นหลัก

Fuzzy Ahp For Supplier Selection: A Case Study In An Electronic Component Manufacturer, Chia Ken Tsai

Chulalongkorn University Theses and Dissertations (Chula ETD)

Supplier selection has become an essential effect on the entire electronic supply chain network on performance. The case study company produces a nano sim-card connector which four primary raw materials are processed into four primary parts (Plastic, Nickel, Phosphor bronze, and Stainless steel). Nevertheless, the case study company faces a penalty and order reduction because of the quality issue. Although an appraisal record from the case study company is able to select a proper raw material supplier, the cost becomes the priority when the candidate suppliers are categorized as the same level, leading to increasing potential risks, e.g., a penalty, …

Analysis Of Inventory In A Food Repackaging Company, Chutipapha Thiantravan

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research aims to evaluate the nature of business and apply a suitable inventory policy to a case study food-repackaging company. The company adopted bulk-purchasing to packaging inventory to realize the economy of scales. Because of the lacks of purchasing standard and monitoring, this inventory policy led to the overstock, deadstock, and obsolete packaging inventories as well as the fluctuation of inventory turnover rate. The further category analysis of the packaging inventories using ABC analysis reveals that special customized bags and packaging items have a long lead time due to international sourcing and high minimum order quantity (MOQ). As a …