Open Access. Powered by Scholars. Published by Universities.®
Operations Research, Systems Engineering and Industrial Engineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- Internet of things (3)
- Blockchain technology (2)
- #afcec (1)
- #climate (1)
- 5S (1)
-
- Agent based modeling (1)
- Algorithms (1)
- Big data (1)
- Blockchains (1)
- Classification (1)
- Communication (1)
- Conservation areas (1)
- Contingency planning (1)
- Data analysis (1)
- Decentralized network (1)
- Decision making (1)
- Disaster management (1)
- Disaster supply chain model (1)
- Disaster supply network (1)
- Disasters (1)
- Diseases (1)
- Dynamic voltage frequency scaling (1)
- Emergency (1)
- Emergency management (1)
- Emergency preparedness (1)
- Engineering (1)
- Engineering-- industrial (1)
- Epidemics (1)
- Exposure data (1)
- Geographic information systems (1)
Articles 1 - 8 of 8
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Lean Six Sigma Body Of Knowledge For Healthcare Industry Administrators: Implementation Of Lessons Learned In Applied Engineering, Mohammed Ali
Technology Faculty Publications and Presentations
The purpose of this paper is to propose a Lean Six Sigma (LSS) course curriculum for healthcare administration and management majors. It identifies the relevant opportunities and challenges for the application of LSS within the healthcare industry. The paper also discusses the cultural changes necessary to provide an appropriate climate for its long-term success. This work contains a comprehensive description of the body of knowledge in LSS, which were successful in applied engineering. Additionally, the paper describes how LSS may be applied in the hospital setting to improve processes in patient-care services. Upon successful completion of the course, the healthcare …
An Ioe Blockchain-Based Network Knowledge Management Model For Resilient Disaster Frameworks, Amir Javadpour, Farinaz Sabz Ali Pour, Arun Kumar Sangaiah, Weizhe Zhang, Forough Ja'far, Ashish Singh
An Ioe Blockchain-Based Network Knowledge Management Model For Resilient Disaster Frameworks, Amir Javadpour, Farinaz Sabz Ali Pour, Arun Kumar Sangaiah, Weizhe Zhang, Forough Ja'far, Ashish Singh
Engineering Management & Systems Engineering Faculty Publications
The disaster area is a constantly changing environment, which can make it challenging to distribute supplies effectively. The lack of accurate information about the required goods and potential bottlenecks in the distribution process can be detrimental. The success of a response network is dependent on collaboration, coordination, sovereignty, and equal distribution of relief resources. To facilitate these interactions and improve knowledge of supply chain operations, a reliable and dynamic logistic system is essential. This study proposes the integration of blockchain technology, the Internet of Things (IoT), and the Internet of Everything (IoE) into the disaster management structure. The proposed disaster …
A Unified Health Information System Framework For Connecting Data, People, Devices, And Systems, Wu He, Justin Zuopeng Zhang, Huanmei Wu, Wenzhuo Li, Sachin Shetty
A Unified Health Information System Framework For Connecting Data, People, Devices, And Systems, Wu He, Justin Zuopeng Zhang, Huanmei Wu, Wenzhuo Li, Sachin Shetty
Information Technology & Decision Sciences Faculty Publications
The COVID-19 pandemic has heightened the necessity for pervasive data and system interoperability to manage healthcare information and knowledge. There is an urgent need to better understand the role of interoperability in improving the societal responses to the pandemic. This paper explores data and system interoperability, a very specific area that could contribute to fighting COVID-19. Specifically, the authors propose a unified health information system framework to connect data, systems, and devices to increase interoperability and manage healthcare information and knowledge. A blockchain-based solution is also provided as a recommendation for improving the data and system interoperability in healthcare.
A Simulation–Optimization Framework For Post-Disaster Allocation Of Mental Health Resources, Stephen Cunningham, Steven J. Schuldt, Christopher M. Chini, Justin D. Delorit
A Simulation–Optimization Framework For Post-Disaster Allocation Of Mental Health Resources, Stephen Cunningham, Steven J. Schuldt, Christopher M. Chini, Justin D. Delorit
Faculty Publications
Extreme events, such as natural or human-caused disasters, cause mental health stress in affected communities. While the severity of these outcomes varies based on socioeconomic standing, age group, and degree of exposure, disaster planners can mitigate potential stress-induced mental health outcomes by assessing the capacity and scalability of early, intermediate, and long-term treatment interventions by social workers and psychologists. However, local and state authorities are typically underfunded, understaffed, and have ongoing health and social service obligations that constrain mitigation and response activities. In this research, a resource assignment framework is developed as a coupled-state transition and linear optimization model that …
Uri And Its Students: A Contract For The Provision Of A Safe Environment, Danielle Joan Beatrice
Uri And Its Students: A Contract For The Provision Of A Safe Environment, Danielle Joan Beatrice
Senior Honors Projects
DANIELLE BEATRICE (English; Philosophy; Business) URI and Its Students: A Contract for the Provision of a Safe Environment
Sponsor: Judith Swift (Communication Studies, Coastal Institute)
When students begin to attend college, they expect to be consumed with busy schedules, heavy workloads, and an exciting social life. Students do not anticipate being in dangerous situations. However, this does not mean that such situations do not occur. Therefore, it is essential to teach students to be active participants in educating themselves and their peers regarding prevention and response to emergency situations. My Honors Project aims to increase the awareness of safety-related issues …
A Blockchain-Enabled Model To Enhance Disaster Aids Network Resilience, Farinaz Sabz Ali Pour, Paul Niculescu-Mizil Gheorghe
A Blockchain-Enabled Model To Enhance Disaster Aids Network Resilience, Farinaz Sabz Ali Pour, Paul Niculescu-Mizil Gheorghe
Engineering Management & Systems Engineering Faculty Publications
The disaster area is a true dynamic environment. Lack of accurate information from the affected area create several challenges in distributing the supplies. The success of a disaster response network is based on collaboration, coordination, sovereignty, and equality in relief distribution. Therefore, a trust-based dynamic communication system is required to facilitate the interactions, enhance the knowledge for the relief operation, prioritize, and coordinate the goods distribution. One of the promising innovative technologies is blockchain technology which enables transparent, secure, and real-time information exchange and automation through smart contracts in a distributed technological ecosystem. This study aims to analyze the application …
Application Of Mounting Personal Pid Voc Sensors To Small Unmanned Aircraft Systems To Aid First Responders, Cheri Marcham
Application Of Mounting Personal Pid Voc Sensors To Small Unmanned Aircraft Systems To Aid First Responders, Cheri Marcham
Publications
Small Unmanned Aerial Systems in Emergency Response
- Current sUAS Uses
- Search and rescue
- Thermal imaging
- Evaluating structural stability
- Spread of wildfires
- Storm damage
Disaster Damage Categorization Applying Satellite Images And Machine Learning Algorithm, Farinaz Sabz Ali Pour, Adrian Gheorghe
Disaster Damage Categorization Applying Satellite Images And Machine Learning Algorithm, Farinaz Sabz Ali Pour, Adrian Gheorghe
Engineering Management & Systems Engineering Faculty Publications
Special information has a significant role in disaster management. Land cover mapping can detect short- and long-term changes and monitor the vulnerable habitats. It is an effective evaluation to be included in the disaster management system to protect the conservation areas. The critical visual and statistical information presented to the decision-makers can help in mitigation or adaption before crossing a threshold. This paper aims to contribute in the academic and the practice aspects by offering a potential solution to enhance the disaster data source effectiveness. The key research question that the authors try to answer in this paper is how …