Operations Research, Systems Engineering and Industrial Engineering Commons^™

Automotive Product Assortment Planning With Consideration Of Distribution Channel Dynamics, Madagedara Maduka Rushanjalee Balasooriya

Wayne State University Dissertations

Automotive original equipment manufacturers (OEMs) are putting a lot of effort into maintaining an efficient order catalog to offer better products to their customers in maketo-stock (MTS) markets. While product “assortment planning" research grows to more effectively identify the best assortments for OEMs, the existing configurable assortment planning literature ignores a significant dimension: the impact of distribution channels, especially dealer franchise networks. Dealers face unique challenges in trying to best satisfy the choice preferences of their local consumers by balancing their limited product configuration inventory with profitability. In many predominantly MTS automotive markets such as the U.S., the reality is …

Improving Or Operations Using Machine Learning Techniques, Tannaz Khaleghi

Wayne State University Dissertations

Recently, health care related studies are being widely conducted by researchers using unique and efficient techniques to increase system profitability, quality of care, and patient satisfaction. Surgery department is considered as the hospital's engine, and cost of surgical services has a huge impact on the overall profitability of the hospital. This thesis proposes novel approaches to improve the efficiency of surgical services by using machine learning concepts.

In the first part, this research investigates the prediction of the surgery durations and Current Procedural Terminology (CPT) Codes. Accurate prediction of the surgery duration will improve the utilization of indispensable surgical resources …

Agile Research - Getting Beyond The Buzzword, Trupti Narayan Rane

Engineering Management & Systems Engineering Faculty Publications

"Oh yeah, we're an Agile shop, we gave up Waterfall years ago." - product owners, managers, or could be anyone else. You will seldom have a conversation with a product or software development team member without the agile buzzword thrown at you at the drop of a hat. It would not be an oversell to say that Agile software development has been adopted at a large scale across several big and small organizations. Clearly, Agile is an ideology that is working, which made me explore more on its applicability in research. As someone who has been in the Information Technology …

Blockchain-Based Digital Trust Mechanism: A Use Case Of Cloud Manufacturing Of Lds Syringes For Covid-19 Vaccination, Trupti Rane, Jingwei Huang

Engineering Management & Systems Engineering Faculty Publications

Trust is essential in the digital world. It is a critical task to build digital trust for the ongoing digital engineering transformation. Aiming at developing a blockchain-based digital trust mechanism for Cloud Manufacturing or Manufacturing-as-a-Service (MaaS), in this paper, we use the manufacturing of low dead space (LDS) medical syringes through Cloud Manufacturing as a motivating scenario to develop a basic framework. To meet the need of optimally saving COVID-19 vaccine doses to save more lives, the medical device manufacturing community needs to make a swift move to meet the surged need for LDS syringes. Cloud Manufacturing is a form …

Adapting The Human Factors Analysis And Classification System For Commercial Fishing Vessel Accidents, Peter Zohorsky, Holly Handley, Ronald Boring (Ed.)

Engineering Management & Systems Engineering Faculty Publications

The commercial fishing industry is frequently described as one of the most hazardous occupations in the United States. The objective, to maximize the catch, is routinely challenged by a variety of elements due to the environment, the vessel, the crew, and how they interact with each other. This study developed and evaluated a version of Wiegmann and Shappell’s (2003) Human Factors Analysis and Classification System (HFACS), specifically for commercial fishing industry vessels (HFACS-FV), using data from ten years of fatal fishing vessel accidents. For this study, the accident investigation information was converted into the HFACS-FV format by independent raters and …

A Primer On The Human Readiness Level Scale (Ansi/Hfes 400-2021), Kelly Steelman, Holly Handley, Katie Plant (Ed.), Gesa Praetorius (Ed.)

Engineering Management & Systems Engineering Faculty Publications

"The Human Readiness Level (HRL) Scale is a simple 9-level scale for evaluating, tracking, and communicating the readiness of a technology for safe and effective human use. It is modeled after the well-established Technology Readiness Level (TRL) framework that is used throughout the government and industry to communicate the maturity of a technology and to support decision making about technology acquisition. Here we (1) introduce the ANSI/HFES 400-2021 Standard that defines the HRL scale and (2) provide concrete examples of evaluation activities to support the application of HRLs in the development of automated driving systems."

Machine Learning In Requirements Elicitation: A Literature Review, Cheligeer Cheligeer, Jingwei Huang, Guosong Wu, Nadia Bhuiyan, Yuan Xu, Yong Zeng

Engineering Management & Systems Engineering Faculty Publications

A growing trend in requirements elicitation is the use of machine learning (ML) techniques to automate the cumbersome requirement handling process. This literature review summarizes and analyzes studies that incorporate ML and natural language processing (NLP) into demand elicitation. We answer the following research questions: (1) What requirement elicitation activities are supported by ML? (2) What data sources are used to build ML-based requirement solutions? (3) What technologies, algorithms, and tools are used to build ML-based requirement elicitation? (4) How to construct an ML-based requirements elicitation method? (5) What are the available tools to support ML-based requirements elicitation methodology? Keywords …

Theorizing The Initial Response Of Countries In Bringing Covid-19 Pandemic Under Control: The Effect Of Change Readiness Of Countries, M. Mahdi Moeini Gharagozloo, Farinaz Sabz Ali Pour, Chen Chen, Mozhgan Moeini Gharagozloo

Engineering Management & Systems Engineering Faculty Publications

Pandemic crises can bring the biggest and deepest shocks to countries around the world. In the first quarter of 2020, a global pandemic named “COVID-19” spread all over the world and not only took so many lives and created so much fear but also brought a tremendous financial pain as a result of shutting down economies to fight with this unknown contagious virus. This paper examines how countries’ change readiness enables them to bring the spread of an international crisis under control. We propose that higher levels of change readiness would help countries to cope with risks and uncertainties generated …

Acute Coronary Syndrome Prediction: A Data-Driven Machine Learning Modeling Approach In Emergency Care, Joshua Oluwatobiloba Emakhu

Wayne State University Dissertations

Healthcare facilities are faced with significant challenges all year round, with patients presenting to the emergency department (ED) with different health issues. Of these challenges, heart disease seems to be an outlier. With heart disease being the primary cause of mortality and morbidity in both developed and developing countries, clinical concerns for acute coronary syndrome (ACS) are one of emergency medicine’s most common patient encounters. Of the three sub-categories of ACS, non-ST-segment elevation myocardial infarction (NSTEMI) has a long-term impact on the well-being of patients if left untreated. Previous efforts in hospital management have applied machine learning algorithms in differentiating …

Learning And Decision Making In Social Media Networks, Zhecheng Qiang

Electronic Theses and Dissertations, 2020-2023

Social media is a virtual community where users share news, ideas, interests, and information. Learning the information diffusion dynamics and making decisions correspondingly, e.g., selecting the seed nodes to maximize the influence, have been widely applied to the areas of viral marketing and cyber security. In this dissertation, we study the problem of learning diffusion process, i.e., infection prediction, in social media networks utilizing both feature-based machine learning methods and mathematical model-based methods. For feature-based machine learning methods, the neighborhood information is treated as an important feature together with user profile and content similarity features. For model-based methods, two distinctive …

Decoding Task-Based Fmri Data Using Graph Neural Networks, Considering Individual Differences, Maham Saeidi

Electronic Theses and Dissertations, 2020-2023

Functional magnetic resonance imaging (fMRI) is a non-invasive technology that provides high spatial resolution in determining the human brain's responses and measures regional brain activity through metabolic changes in blood oxygen consumption associated with neural activity. Task fMRI provides an opportunity to analyze the working mechanisms of the human brain during specific task performance. Over the past several years, a variety of computational methods have been proposed to decode task fMRI data that can identify brain regions associated with different task stimulations. Despite the advances made by these methods, several limitations exist due to graph representations and graph embeddings transferred …

Complex Quantum Contagion: A Quantum-Like Approach For The Analysis Of Co-Evolutionary Dynamics Of Social Contagion, Ece Mutlu

Electronic Theses and Dissertations, 2020-2023

Modeling the dynamics of social contagion processes has recently attracted a substantial amount of interest from researchers due to its wide applicability in network science, multi-agent systems, information science, and marketing. Unlike in biological spreading, the existence of a reinforcement effect in social contagion necessitates considering the complexity of individuals in the systems. Although many studies acknowledged the heterogeneity of the individuals in their adoption of information (or behavior), there are no studies that take into account the individuals' uncertainty during their decision-making despite its theoretical and experimental evidence in behavioral economics, decision science, cognitive science, or multi-agent systems. This …

A Contingent Approach To Studying Technical Programs In The Public Aerospace Industry, Laura Segarra

Electronic Theses and Dissertations, 2020-2023

Bibliometric evaluation of the literature indicates that a unified theory of program management does not yet exist. The vastly different definitions and implementations of programs across organizations and industries indicate that program management as an organizational concept is not well understood. As researchers have tried to make sense of various perspectives and definitions, it becomes clear that different kinds of programs exist, and further attention to their context is needed. While relationships between structural and environmental variables have been extensively researched in organizational studies, studies in program management are scant, lack incorporation of environmental variables relevant to programs and projects, …

An Exploratory Assessment Of Small Group Performance Leveraging Motion Dynamics With Optical Flow, Joshua Desantiago

Electronic Theses and Dissertations, 2020-2023

Understanding team behaviors and dynamics are important to better understand and foster better teamwork. The goal of this master's thesis was to contribute to understanding and assessing teamwork in small group research, by analyzing motion dynamics and team performance with non-contact sensing and computational assessment. This thesis's goal is to conduct an exploratory analysis of motion dynamics on teamwork data to understand current limitations in data gathering approaches and provide a methodology to automatically categorize, label, and code team metrics from multi-modal data. We created a coding schema that analyzed different teamwork datasets. We then produced a taxonomy of the …

An Experimental Investigation Of Creativity In Relation To Extracurricular Activity And Gpa In Undergraduate Engineering Students, Maria Gonzalez

Electronic Theses and Dissertations, 2020-2023

Measuring creativity for engineering is paramount; previous research has shown that creativity diminishes as students advance through college. This study intends to find possible predictors for creativity in these students. These predictors include GPA, Hobbies, and Extracurriculars while using the Test of Creativity Thinking – Drawing Production (TCT-DP) as a benchmark for creativity. Participants were Junior and Senior year engineering students in Spring 2021. All eligible study participants were provided a TCT-DP and survey to complete. Individual creative ability was assessed from the resulting TCT-DP using a 13 categorical scoring matrix by independently trained evaluators using the scoring guidelines. The …

A Literature Review On Combining Heuristics And Exact Algorithms In Combinatorial Optimization, Hesamoddin Tahami, Hengameh Fakhravar

Engineering Management & Systems Engineering Faculty Publications

There are several approaches for solving hard optimization problems. Mathematical programming techniques such as (integer) linear programming-based methods and metaheuristic approaches are two extremely effective streams for combinatorial problems. Different research streams, more or less in isolation from one another, created these two. Only several years ago, many scholars noticed the advantages and enormous potential of building hybrids of combining mathematical programming methodologies and metaheuristics. In reality, many problems can be solved much better by exploiting synergies between these approaches than by “pure” classical algorithms. The key question is how to integrate mathematical programming methods and metaheuristics to achieve such …

System And Risk Analysis Of Cloud Manufacturing System, Trupti Narayan Rane

Engineering Management & Systems Engineering Faculty Publications

The Cloud manufacturing(C-Mfg) system involves remote distributed manufacturing resources and capabilities collaborating as a single virtual entity. The system receives orders for custom products and provides manufacturing as a service to the end customers. The primary activities of the system, among others, are transaction control, resource allocation and monitoring, distributed manufacturing, quality control, and delivery of consignments to the customers. The actual manufacturing is done by a network of third-party partner manufacturers providing the services to end customers, helping them with cost reduction, shorter time-to-market, and enabling efficient collaboration between manufacturers in the CMfg network. This paper aims to deep …

Humans And The Core Partition: An Agent-Based Modeling Experiment, Andrew J. Collins, Sheida Etemadidavan

Engineering Management & Systems Engineering Faculty Publications

Although strategic coalition formation is traditionally modeled using cooperative game theory, behavioral game theorists have repeatedly shown that outcomes predicted by game theory are different from those generated by actual human behavior. To further explore these differences, in a cooperative game theory context, we experiment to compare the outcomes resulting from human participants’ behavior to those generated by a cooperative game theory solution mechanism called the core partition. Our experiment uses an interactive simulation of a glove game, a particular type of cooperative game, to collect the participant’s decision choices and their resultant outcomes. Two different glove games are considered, …

Transdermal Drug Delivery Systems: Analysis Of Adhesion Failure, Zachary Brooks, Tushar Goswami, Amy Neidhard-Doll, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

The most critical component of the TDDS is the adhesive, which is responsible for the safety, efficacy and quality of the patch. For drug delivery to successfully occur, the patch must adhere to the surface of the contact area. If a patch has inadequate adhesion, it is likely to fall off before the entire delivery period has been satisfied, leading to risks for the patient and others who may encounter the patch. Despite the critical concerns associated with the adhesive properties of the patches, the adhesion quality and failure mechanisms have not been fully studied. If certain molecules encounter the …

Retrospective Evaluation And Framework Development Of Bone Anisotropic Material Behavior Compared With Elastic, Elastic-Plastic, And Hyper-Elastic Properties, Farah Hamandi, James T. Tsatalis, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

The main motivation for studying damage in bone tissue is to better understand how damage develops in the bone tissue and how it progresses. Such knowledge may help in the surgical aspects of joint replacement, fracture fixation or establishing the fracture tolerance of bones to prevent injury. Currently, there are no standards that create a realistic bone model with anisotropic material properties, although several protocols have been suggested. This study seeks to retrospectively evaluate the damage of bone tissue with respect to patient demography including age, gender, race, body mass index (BMI), height, and weight, and their role in causing …