Department of Industrial and Manufacturing Systems Engineering (MU)
Industrial and Manufacturing Systems Engineering is a blending of natural sciences, engineering science, mathematics, business administration, computers, and management. This fusion of diverse skills allows industrial engineers to design and implement what are called socio-technical systems — complex combinations of people and technology brought together to solve problems. With its diversity, industrial engineering is used in a wide variety of areas in both manufacturing and service areas.
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Predictive analytics within the collegiate wrestling recruitment process
(University of Missouri--Columbia, 2024)In this study, we dive into the world of sports analytics, specifically focusing on wrestling. By harnessing data-driven insights, we aim to revolutionize student-athlete recruitment and development. The research focuses ... -
Multi-objective decision-making in solid waste management including social sustainability consideration
(University of Missouri--Columbia, 2024)Waste management is a critical sector that needs to coordinate its activities with outcomes that impact society. Multi-criteria decision-making methods for waste management have been widely considered using environmental ... -
AI-driven techniques for enhanced efficiency in psychiatry clinical scheduling
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 12/1/2024] In recent times, psychiatry clinics are constantly facing late patient arrivals. Patient unpunctuality significantly affects the use of resources and patient waiting times, among other quality ... -
Collaborative human-robot order picking system : algorithms for task allocation and routing in complex environments
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 8/1/2024] Order picking, which involves retrieving items from storage locations for an internal or external customer, is a core function in warehouses and accounts for up to 65 percent of the total operating ... -
Assessing strategies for achieving environmentally sustainable food systems using robust optimization
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] With growing populations and affluence, many organizations predict that food demand will increase, which presents considerable challenges to achieving economic, environmental, and social ... -
Material and volunteer convergence in developing a disaster resource portfolio
(University of Missouri--Columbia, 2023)[EMBARGOED UNTIL 5/1/2024] Disaster relief operations have been conducted by humanitarian agencies for decades, yet the problem of material and volunteer convergence still exists today. The massive influx of unsolicited ... -
Predicting student performance in an augmented reality learning environment using eye-tracking data
(University of Missouri--Columbia, 2023)This paper investigates the use of eye-tracking data as a predictor of student performance in an augmented reality (AR) learning environment. 33 undergraduate students enrolled in an ergonomics course at the University of ... -
A rare event classification in the advanced manufacturing system: focused on imbalanced datasets
(University of Missouri--Columbia, 2022)In many industrial applications, classification tasks are often associated with imbalanced class labels in training datasets. Imbalanced datasets can severely affect the accuracy of class predictions, and thus they need ... -
Fatigue-recovery simulation model to analyze the impact of nursing activities on fatigue level in an intensive care unit
(University of Missouri--Columbia, 2022)Although nursing is physically and mentally strenuous, not many studies have been done yet to find the impact of the key groups of tasks on nurses' average fatigue level and workflow. So, this study aims to understand the ... -
Hybrid truck-drone systems for last-mile delivery logistics
(University of Missouri--Columbia, 2022)With growing consumer demand and expectations, companies are attempting to achieve cost-efficient and faster delivery operations. The integration of autonomous vehicles, such as aerial and ground drones, in the last-mile ... -
Improving cardiac care delivery using predictive and prescriptive analytics
(University of Missouri--Columbia, 2022)Endured by the growing prevalence of cardiovascular diseases (CVDs), the demand for cardiac care services has increased. On the other hand, the supply of cardiologists is expected to be insufficient to meet this growing ... -
Impact of woody biomass production and biopower generation on US forests
(University of Missouri--Columbia, 2022)This dissertation presents a study of environmental impact of woody biomass production and consumption on the eastern US forests. The first part is concerned with the impact of the exponential growth in trading of US ... -
A study on emerging transportation services based on efficient network design and operation
(University of Missouri--Columbia, 2021)Rapid growth in modern technologies has provided new tools for flexible and convenient transportation to the public. These new avenues for commuting would enable promoting non-driving modes of conveyance while shifting the ... -
Platelet inventory management in blood supply chain under demand and supply uncertainty
(University of Missouri--Columbia, 2021)Supply chain management of blood and its products are of paramount importance in medical treatment due to its perishable nature, uncertain demand, and lack of auxiliary substitutes. For example, the Red Blood Cells (RBC's) ... -
Using metacognitive monitoring feedback to improve student learning in augmented reality environments
(University of Missouri--Columbia, 2020)This research aims to use metacognitive monitoring feedback to improve student learning performance in an augmented reality environment. In this study, Microsoft HoloLens, a prominent augmented reality device and independent ... -
Assessing costs and environmental impacts of municipal food waste treatment options in Columbia, Missouri : a decision support tool integrating life cycle analysis and robust optimization
(University of Missouri--Columbia, 2021)Many municipal governments currently have goals in place to align with global efforts and policy to reduce greenhouse gas (GHGs) emissions and take advantage of waste as a resource for renewable energy and nutrients. To ... -
An optimization model to address overcrowding in emergency departments using patient transfer : [data]
(2021)Supplementary material and data for the article: Zeynab Oveysi, Ronald G. McGarvey, Kangwon Seo, "An Optimization Model to Address Overcrowding in Emergency Departments Using Patient Transfer", Advances in Operations ... -
An optimization model to address overcrowding in emergency departments using patient transfer
(Hindawi, 2021)Overcrowding of emergency departments (EDs) is a problem that affected many hospitals especially during the response to emergency situations such as pandemics or disasters. Transferring nonemergency patients is one approach ... -
Measuring efficiency of federally qualified health centers : a multi model approach using data envelopment analysis (DEA) & latent class analysis (LCA)
(University of Missouri--Columbia, 2021)There are 1300 federally qualified health centers (FQHCs) in the United States providing the health care to underserved and uninsured population. These FQHCs serve the patients irrespective of their ability to pay. Using ... -
Prediction of lithium-ion battery capacity by functional monitoring data using functional principal component analysis
(University of Missouri--Columbia, 2020)Lithium-ion batteries have been a promising energy storage technology for applications such as electronics, automobiles, and smart grids over the years. Extensive research was conducted to improve the prediction of the ...