Operations Research, Systems Engineering and Industrial Engineering Commons^™

Evaluation Of Metaverse Integration Of Freight Fluidity Measurement Alternatives Using Fuzzy Dombi Edas Model, Muhammet Deveci, Ilgin Gokasar, Oscar Castillo, Tugrul Daim

Engineering and Technology Management Faculty Publications and Presentations

Developments in transportation systems, changes in consumerism trends, and conditions such as COVID-19 have increased both the demand and the load on freight transportation. Since various companies are transporting goods all over the world to evaluate the sustainability, speed, and resiliency of freight transportation systems, data and freight fluidity measurement systems are needed. In this study, an integrated decision-making model is proposed to advantage prioritize the freight fluidity measurement alternatives. The proposed model is composed of two main stages. In the first stage, the Dombi norms based Logarithmic Methodology of Additive Weights (LMAW) is used to find the weights of …

Technology Roadmap For Standards Of Healthcare Data Cyber Security: Influence Of Public Policy On Consumer Healthcare Cyber Security Protections, Alison Nalven, Courtney Wright, Jennifer Lynn Zeitouni, Nolan Thompson, Sara Ferdousi, Saumya Saxena

Engineering and Technology Management Student Projects

From the dot com boom to now the Internet of Things (IoT) and Machine Learning era, the evolving digital world that people live in has brought new challenges for protecting personal data and information. IoT devices, smart phones, numerous apps, and more, constantly collect personal health data with many positive intentions. However, the recent overturning of Roe vs. Wade by the United States Supreme Court has generated concerns in particular on who and how personal health data can be used by both governments and private companies with unintended consequences for users. Cyber security and regulations for protecting personal health data …

Cost Analysis For Renewable Energy At Residential Houses In Ca, Karthik Manjunath, Sara Ferdousi, Ahmed Mahdi, Navdeep Singh, Yousra Abusharekh

Engineering and Technology Management Student Projects

Solar energy has been demonstrated to be the most productive and compelling among sustainable power hotspots for home and business use. California has made a concerted effort to boost the integration of renewables into the grid. In 2020, a "solar mandate" went into effect, and in 2022, the California Energy Commission released the draft language for the 2022 building standards. The use of photovoltaic (PV) systems supports the achievement of Sustainable Development Goals (SDGs) – particularly SDG 13 in direct impact – through preserving the environment, reducing the levels of greenhouse gasses (GHGs), and accordingly reducing global warming. Therefore, the …

Financial Analysis Of Meta Platforms Inc, Anurag Yaddanapudi, Kaushik Chaudhary, Saumya Saxena

Engineering and Technology Management Student Projects

Web3.0 is the latest generation of internet, which is about decentralization and democratization, built on blockchain technology, high computer power and high-speed network. Metaverse overlaps with Web3.0 in terms of decentralization and is built on the same base technologies but talks about virtual realities and brings immersive experiences.

This study explores how the web has evolved over the years and analyzes the current market trends of Web3.0. The purpose of the study is to examine the investments made by Meta Platforms Inc. which is one of the market leaders of the Internet industry and provide an in-depth financial analysis by …

Temporary Housing Alternatives: Economic Analysis, Matt Gillispie, Swapna Kandula, Girija Patil, Juan Vasconez, Jennifer Lynn Zeitouni

Engineering and Technology Management Student Projects

In this report, we are aiming to find the best construction alternative to provide housing to the homeless community of Multnomah County in Oregon. The goal is to identify the most beneficial construction process through an economic analysis. In conjunction with existing projects such as “Safe Rest Villages” that are working on offering services and solutions, the plan is to reduce the county’s houseless population by 50% over a time period of 10 years. The analysis includes gathering data about the community, but also calculating the costs and benefits of three alternatives - 3D Printed houses, tiny homes, and prefabricated …

Additive Manufacturing Design For Affordable Housing Development, Courtney Wright, Lani Nguyen, Jordan Wearing

Engineering and Technology Management Student Projects

Recently, there has been an increasing lack of affordable homes. Since rent, prices, gas, and other utilities continue to rise, wages (especially for low-income individuals) have stayed constant throughout the country. This has caused numerous citizens to not be able to afford a home or even pay rent. This situation has caused a large surge in the homeless community, and it is estimated that approximately 37,500 individuals per day are in need of housing throughout the Pacific Northwest as of January 2020. [1] In response to this issue, our team has provided a goal to provide trendy and affordable homes …

Healthcare Information Security Maturity Model Grande Ronde Hospital, Pallavi Agrawal, Riad Alharithi, Karthik Manjunath, Kamal Thapa, Eric Ingersoll, Sujitha Rajagopal

Engineering and Technology Management Student Projects

Technology offers significant advantages in improving the delivery of healthcare to patients. The technology creates electronic data associated with each patient. The data journey starts from the collection point, through the data warehouses that store the data, the application that processes the data, and the medium that transfers the data throughout the patient's life. Data collection starts with patients filling out web forms on a provider's website. This information is stored for the Healthcare organization in remote servers managed by developers and is shared with healthcare specialists, hospitals, labs, pharmacists, insurance providers, and billing software among many other healthcare workers. …

Model Optimization For Resource Allocation In A Consulting Firm, Riad Alharithi, Karthik Manjunath, Sara Ferdousi, Vladislav Ruchin, Jennifer Lynn Zeitouni

Engineering and Technology Management Student Projects

Assigning employees with multiple skill sets to projects at the right time has long been a challenge in professional settings. Whether it is assigning a salesperson to a product, an employee to a task, or a company to a project, many variables affect such decisions and make them taxing for managers and owners. In this project, an optimization issue observed in a team member’s workplace is being addressed.. The aim is to efficiently allocate employees to different concurrent projects. The firm's organizational structure is similar to a Project Management Office (PMO) that has an employee pool with varying skill sets …

Autonomous Farming With Uavs, Pallavi Agrawal, Karthik Manjunath, Cherokee Rawls, Sujitha Raj Rajagopal, Riad Alharithi, Kamal Thapa

Engineering and Technology Management Student Projects

As the global need for food grows, agriculture is adapting autonomous farming techniques to scale in response. One of the most useful tools are UAVs (Unmanned Autonomous Vehicles), which are providing invaluable information and assistance to farmers. In some countries, UAVs are being rapidly embraced, while in others this progress is much slower. For a number of reasons, the United States has not broadly adopted this technology in assisting agricultural practices. In this article, we focus on the challenges companies and farmers are facing in making use of UAVs and what might be done to push this technology into widespread …

Tourism Route Optimization For Portland, Oregon, Duane Murray, Mohammed Thawab, Adnan Binmahfood, Mohammed Zaid, Colin Owens

Engineering and Technology Management Student Projects

The city of Portland, Oregon has experienced an unprecedented reduction in tourism due to the COVID-19 pandemic. This reduction in tourism has had a negative impact on all businesses in the area. This paper provides a methodology and tool that can be used to help local businesses potentially gain patrons, and at the same time help visitors in maximizing their time while minimizing costs. when visiting the city after the pandemic abates. To accomplish this, first, an itinerary of selected attractions are filtered by the visitor. Next, a linear programming method using a travelling salesman problem (TSP) algorithm is implemented …

Amazon Robotic Service (Ars), Patil Girija, John Mareena, Jin Fenny, Kandula Swapna, Ketsaraporn Kaewkhiaolueang

Engineering and Technology Management Student Projects

Warehouse robots are the most effective replacement to minimize the pressure and availability of manual labor. The warehouse robots are mainly used for heavy lifting, picking up packages, transporting, and other tasks in the facility. The growing market of Internet of Things, Artificial Intelligence, and machine learning in the warehouse industry is forecasted to grow in the robots market in the near future. In order to build the final product i.e technology roadmap our team did market research, analysed competitors for the company, identified target customers, analyzed market, product and pricing strategy and at the end came up with the …

Project Management Assignment Tool Using R And Shiny, Ben Stewart, Hoseok Jung, Moses Rawar

Engineering and Technology Management Student Projects

Linear programs such as the R markdown language play an important role in helping to find an optimized solution in various fields of society. This area extends from the optimal distribution channels of coffee shops, which are closely related to our lives, to very important areas such as the deployment of military forces. Through this paper, we will try to find ways to maximize the efficiency and performance of a company by properly allocating project managers suitable for the projects performed by each company according to their capabilities and the requirements of the projects.

Toilet Alarms: A Novel Application Of Latrine Sensors And Machine Learning For Optimizing Sanitation Services In Informal Settlements, Phillip Nicholas Turman-Bryant, Taylor Sharpe, Corey L. Nagel, Lauren Stover, Evan A. Thomas

Systems Engineering Faculty Publications and Presentations

The cost-effectiveness and reliability of waste collection services in informal settlements can be difficult to optimize given the geospatial and temporal variability of latrine use. Daily servicing to avoid overflow events is inefficient, but dynamic scheduling of latrine servicing could reduce costs by providing just-in-time servicing for latrines. This study used cellular-connected motion sensors and machine learning to dynamically predict when daily latrine servicing could be skipped with a low risk of overflow. Sensors monitored daily latrine activity, and enumerators collected solid and liquid waste weight data. Given the complex relationship between latrine use and the need for servicing, an …

Optimization Model For Project Manager Assignments, Neeti Verma, Poonam Ganoskar, Pallavi Gusain, Thanvi Vemulapally, Sai Kalyan, Bala Krishnamoorthy, Sai Kalyan Krishna Gali

Engineering and Technology Management Student Projects

The main objective of every project in an organization is to maximize its profit. This maximization of profit can be achieved through proper allocation of project managers to projects in an organization. But assigning a project to a project manager is still considered a difficult issue and is not yet fully addressed in the literature. However, in high-tech industries various project assignment methodologies are used to assign project managers to multiple projects and reassignment during new-product development projects. The aim of the optimization model created in this project is to develop a framework for project assignments to project managers including …

Paints-R-Us Term Project, Tyler Campbell, Skye Gilbreth, Michael Oluwole, Elijah Raffo, Brad Unruh

Engineering and Technology Management Student Projects

This project will consider a linear product mix optimization problem for a fictional paint company, Paints-R-Us. Paints-R-Us is a wholesale paint manufacturer located in the Pacific Northwest. The Global Production Manager, Steve Brush, has been tasked with maximizing Paints-R-Us’s profit in the upcoming quarter. Steve Brush oversees the global production plan, and in collaboration with the production planners will develop a production plan which optimizes the profits that Paints-R-Us can create in the quarter accounting for the following criteria:

• Demand in the given quarter for each of the 5 paint types that Paints-R-Us produces • The warehousing storage capacity …

Managing Healthcare Data Assets As A Complex Adaptive System, Katie Clifton

Systems Science Friday Noon Seminar Series

A major project is underway to develop a shared platform for data and analytics in a highly federated healthcare delivery organization. In the status quo data environment, analysts have integrated information from various domains — medical records, claims, membership — to produce a multitude of reports and analysis. Duplicative, mis-aligned, and siloed datasets were created as an unintended consequence.

One objective of the project is to produce outcomes (reports, analysis) that are more standardized and efficient than the status quo without sacrificing adaptability. Standards and practices are being intentionally developed as a mechanism for this emerging system to achieve more …

Iot And Digitization Will Reconnect System Engineering And Science, John Blyler

Systems Science Friday Noon Seminar Series

The fully connected world is quickly becoming a reality. Architects and developers of this new world must understand both the hardware and software basics of IoT and IIoT systems as well as the proven way to deal with the complexities of the integration of sensors, processors, wireless connectivity, edge to cloud networks, data partitioning and processing, AI, machine language, digital threads and twins, and much more. Such complexity can only be handled with a systems-of-systems (SoS) engineering approach.

But while systems engineering may hold many of the solutions to IoT challenges, systems engineering must evolve from its traditional role. Some …

A Preliminary Strategic Framework For Enhancing The Sustainability Of International Technology Transfer: The Case Of Libya, Rafaa Ibrahim Khalifa, Maoloud Dabab, Husam Barham

Engineering and Technology Management Faculty Publications and Presentations

International Technology Transfer (ITT) has played a crucial role not only in the industrial growth of developing countries but also in enhancing the competitiveness of their enterprises in the global market. Libya is a North African country that is currently shifting from a strictly petroleum/mineral based economy to a broad-based economy competing with distinct advantages through selecting, planning, and adopting the right technology for the domestic market. This significant transition requires strategic access to global technology transfer. In this paper, a preliminary strategic framework is designed to enhance the sustainability of the ITT process from international donators to the Country …

Technological Cooperation Network In Biotechnology Analysis Of Patents With Brazil As The Priority Country, Cristiano Goncalves Pereira, Rodrigo Ribeiro Da Silva, Joao Ricardo Lavoie, Geciane Silveira Porto

Engineering and Technology Management Faculty Publications and Presentations

Purpose – The establishment of partnerships between companies, government and universities aims to enhance innovation and the technological development of institutions. The biotechnology sector has grown in recent years mainly driven by its cooperative business model. Compared to other countries, this sector is slowly advancing in Brazil, with delays in science, technology and innovation, especially in the private sector. This paper aims to examine, through social network analysis, the collaborative networks between institutions that filed patents in biotechnology – medicinal preparations from plants – whose inventions had Brazil as the priority country. Design/methodology/approach – The study of technological cooperation using …

Teen Driver System Modeling: A Tool For Policy Analysis, Celestin Missikpode, Corrine Peek-Asa, Daniel V. Mcgehee, James Torner, Wayne Wakeland, Robert Wallace

Systems Science Faculty Publications and Presentations

Background: Motor vehicle crashes remain the leading cause of teen deaths in spite of preventive efforts. Prevention strategies could be advanced through new analytic approaches that allow us to better conceptualize the complex processes underlying teen crash risk. This may help policymakers design appropriate interventions and evaluate their impacts.

Methods: System Dynamics methodology was used as a new way of representing factors involved in the underlying process of teen crash risk. Systems dynamics modeling is relatively new to public health analytics and is a promising tool to examine relative influence of multiple interacting factors in predicting a health …

Exploring Adoption Of Augmented Reality Smart Glasses: Applications In The Medical Industry, Nuri A. Basoglu, Muge Goken, Marina Dabic, Dilek Ozdemir Gungor, Tugrul U. Daim

Engineering and Technology Management Faculty Publications and Presentations

This study explores the use of augmented reality smart glasses (ARSGs) by physicians and their adoption of these products in the Turkish medical industry. Google Glass was used as a demonstrative example for the introduction of ARSGs. We proposed an exploratory model based on the technology acceptance model by Davis. Exogenous factors in the model were defined by performing semi-structured in-depth interviews, along with the use of an expert panel in addition to the technology adoption literature. The framework was tested by means of a field study, data was collected via an Internet survey, and path analysis was used. The …

Shift Scheduling Optimization For Psu Library, Aayushi Gupta, Anju Babu, Lipishree Vrushabhendra, Shivani Purwar, Shravankumar Doosa

Engineering and Technology Management Student Projects

Scheduling is important in any business as it creates an order and flow ensuring that all the tasks are covered at appropriate times. According to experts, scheduling determines the economics of a job, the quality of the team, and the skill-building and motivation of professionals doing the work. Therefore, it is essential to have optimized staff schedules to meet the requirements of staff availability, tasks coverage, shift equity and staff preferences. Though staff scheduling is of such prime importance, it is mostly implemented in traditional ways of manually creating spreadsheets and web calendars proving to be laborious and often leaving …

Minimizing Commute Distance For Small Groups: A Linear Programming Approach, Kevin Payne, Kritika Kumari, Levi Huddleston, Rabi Hassan

Engineering and Technology Management Student Projects

This paper aims to minimize total drive time between members and their respective group leader. Given a limit on group size and days available, how can a formulation of a group occur such that the sum of the total drive time is minimized. To accomplish this task a Linear Program (LP) is implemented that includes three sets of binary decisions variables summing to 4100 variables and a variety of constraints summing between 4200 and 4341 depending on the constraints enforced. For 200 members and 15 leaders the minimized average commuting time was found to be between 4.99 and 5.36 minutes …

Reflections On Teaching System Dynamics Modeling To Secondary School Students For Over 20 Years, Diana Fisher

Systems Science Faculty Publications and Presentations

This paper contains the description of a successful system dynamics (SD) modeling approach used for almost a quarter-century in secondary schools, both in algebra classes and in a year-long SD modeling course. Secondary school students have demonstrated an ability to build original models from the news, write technical papers explaining their models, and present a newfound understanding of dynamic feedback behavior to an audience. The educational learning theory and instructional methods used for both the algebra and modeling courses are detailed, with examples. Successful student SD modeling experiences suggest the SD approach can expand the sophistication of topics that secondary …

Technology Foresight: A Bibliometric Analysis To Identify Leading And Emerging Methods, Elizabeth Gibson, Tugrul U. Daim, Edwin Garces, Marina Dabic

Engineering and Technology Management Faculty Publications and Presentations

Foresight studies provide essential information used by the government, industry and academia for technology planning and knowledge expansion. They are complicated, resource-intensive, and quite expensive. The approach, methods, and techniques must be carefully identified and selected. Despite the global importance of foresight activities, there are no frameworks to help one develop and plan a proper foresight study. This paper begins Keywords: technology foresight; strategic foresight; adaptive foresight; Social Network Analysis (SNA); bibliometric tools; data mining; text mining. to close this gap by analyzing and comparing different schools of thought and updating the literature with the most current tools and methods. …

Optimizing Student Workforce Scheduling At Psu Office Of Information Technology (Oit), Agam Ebramsyah, Aishwarya Joy, Cody Miller, Jake Stevens, Priyanka Patil

Engineering and Technology Management Student Projects

A significant challenge for businesses of any size, is generating a work schedule that ensures adequate personnel coverage to ensure all aspects of the business are properly staffed, while preventing waste produced from having an excess number of employees working at a given time. The decision to manually create spreadsheets and work schedules that take into account availability, staffing requirements, and cost efficiency can become overwhelming and labor intensive. For Portland State University's Office of Information Technology (OIT), there is a significant challenge in scheduling student workers, while ensuring staffing requirements are met, student work hour restrictions are observed, and …

Organics To You - Optimization Of Produce Bins, Rassaniya Lerdphayakkarat, Chuan Chieh Lu, Jon Roschke, Juliana Suzuki, Jessie Truong

Engineering and Technology Management Student Projects

Organics to You (www.organicstoyou.org ) is a produce delivery company that focuses on bringing organic local food from local farms straight to the homes, schools, and businesses of its clients. Each week a "Small Bin" is created using different varieties of local produce from various farms. Customers receive a bin that contains 12-14 varieties of produce with 2-6 "servings" of each variety (e.g., 1 melon, 4 apples, 1 head of lettuce, 2 lbs potatoes, etc).

Our objective is to optimize the contents of the “Small Bin”. The decision we want to make is how much of each variety do …

Technology Trajectory Mapping Using Data Envelopment Analysis: The Ex-Ante Use Of Disruptive Innovation Theory On Flat Panel Technologies, Dong-Joon Lim, Timothy R. Anderson

Engineering and Technology Management Faculty Publications and Presentations

In this paper, we propose a technology trajectory mapping approach using Data Envelopment Analysis (DEA) that scrutinizes technology progress patterns from multidimensional perspectives. Literature reviews on technology trajectory mappings have revealed that it is imperative to identify key performance measures that can represent different value propositions and then apply them to the investigation of technology systems in order to capture indications of the future disruption. The proposed approach provides a flexibility not only to take multiple characteristics of technology systems into account but also to deal with various tradeoffs among technology attributes by imposing weight restrictions in the DEA model. …

A Framework For Technology Transfer Potential Assessment, Judith Estep, Tugrul U. Daim

Engineering and Technology Management Faculty Publications and Presentations

This paper is motivated by a need to move research into application, specifically in the utility industry. There are many challenges facing the industry: an aging infrastructure, a growing population, and aggressive energy efficiency targets are just a few examples. Many technologies exist or are in development but the rate at which they are being adopted is slow. Despite a clear need to apply research results to the utility industry, a cursory review of how research proposals are evaluated within the utility industry confirms that technology transfer is only peripherally addressed. In addition, there is no mechanism to quantitatively assess …

Managing The Ethical And Risk Implications Of Rapid Advances In Artificial Intelligence: A Literature Review, Taylor Meek, Husam Barham, Nader Beltaif, Amani Kaadoor, Tanzila Akhter

Engineering and Technology Management Faculty Publications and Presentations

The development of emergent technologies carries with it ethical issues and risks. We review ways to better manage the ethical issues and risks of one emerging technology: Artificial Intelligence (AI). Depending on how AI's development is managed, it may have beneficial and/or deleterious effects. The processing capacity of Tianhe-2, the world's fastest supercomputer, by some measures, exceeds the processing capacity of a single human brain. but at a prohibitive processing/power consumption ratio and physical size. Given the current pace of AI R&D activities, some estimates in the literature suggest that the technology could become capable of self-determination and super intelligence …