Current Search: Rahal, Ahmad (x)
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- Title
- A Predictive Model To Identify Caregivers At Risk Of Musculoskeletal Disorders.
- Creator
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Ali, Abdulelah, Lee, Gene, Elshennawy, Ahmad, Rabelo, Luis, Rahal, Ahmad, University of Central Florida
- Abstract / Description
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Healthcare systems face several challenges due to the aging workforce, recruitment shortages, increasing patient acuteness, and increasing patient size and weight. The most costly, leading, and prevalent problem in the healthcare industry and nursing professions is work-related Musculoskeletal Disorders (MSDs). MSDs are common among caregivers because of the nature of their work, which requires repetitive heavy physical activity. The development of MSDs among caregivers negatively impacts the...
Show moreHealthcare systems face several challenges due to the aging workforce, recruitment shortages, increasing patient acuteness, and increasing patient size and weight. The most costly, leading, and prevalent problem in the healthcare industry and nursing professions is work-related Musculoskeletal Disorders (MSDs). MSDs are common among caregivers because of the nature of their work, which requires repetitive heavy physical activity. The development of MSDs among caregivers negatively impacts the quality of care, and incurs high costs such as worker compensation, days away from work, turnover, rehabilitation, and lower productivity. Therefore, it is essential to determine the factors that contribute to musculoskeletal disorder injuries among caregivers, in order to reduce or eliminate risks within healthcare environments which might cause such ramifications. This dissertation develops a framework to identify risk factors for MSDs and to determine which ones show significant contribution to be included in a developed predictive model. The data was obtained from caregivers who work in Saudi Arabian healthcare institutions, with 104 participating nurses to determine which risk factors would be included in the predictive model. Logistic regression analysis was used to investigate the association of the identified work related and non-work related risk factors for musculoskeletal disorders in healthcare organizations among caregivers. The development of the predictive model provides insights into risk factors which can guide the development of policies and recommendations to reduce and eliminate the development of MSDs among caregivers.
Show less - Date Issued
- 2016
- Identifier
- CFE0006065, ucf:50967
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006065
- Title
- A Framework for Assessing the Quality and Effectiveness of A National Employment System: A Case Study of Saudi Arabia.
- Creator
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Alsulami, Hemaid, Elshennawy, Ahmad, Lee, Gene, Xanthopoulos, Petros, Rahal, Ahmad, University of Central Florida
- Abstract / Description
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National employment systems have been established in several countries to tackle the unemployment dilemma between citizens while the labor market flooded by expatriates. Lack of performance measurement indices among these systems caused failure to provide jobs to citizens and caused a state of confusion and dissatisfaction among employing entities. In Saudi Arabia, unemployment rate has increased in the last few decades and have since become a very political issue for the Saudi government....
Show moreNational employment systems have been established in several countries to tackle the unemployment dilemma between citizens while the labor market flooded by expatriates. Lack of performance measurement indices among these systems caused failure to provide jobs to citizens and caused a state of confusion and dissatisfaction among employing entities. In Saudi Arabia, unemployment rate has increased in the last few decades and have since become a very political issue for the Saudi government. Compared to other countries, the problem is different since many expatriates in Saudi Arabia are already employed in their markets while citizens are seeking jobs. In Saudi Arabia, there are 1.4 million unemployed citizens and 8 million expatriates working in the Saudi labor market. In 2011, the Saudi government established a new project for boosting citizen's employment in the private sector. This project has initiated an employment system that divides organizations into four categories (or rankings) based on their performance in employing Saudi citizens' job seekers. Organizations in the Saudi private sector are allocated services from Ministry of Labor depending on their ranking in the system. Consequently, there are mixed reactions from social and economic groups toward the system's significant impact on increasing the number of national (citizen) workers in the labor market.This study develops a framework to assess the quality and effectiveness of this government employment system and how the private sector has been affected after its implementation. The framework proposes a national employment index to help government leaders manage the labor market and reduce the unemployment rate. In addition, the framework is proposing employers satisfaction index to assist in improving the cooperation betweenivgovernment and private sector. Finally, the study demonstrates the various advantages and disadvantages of this concept and proposes solutions to improve the national employment system's quality and effectiveness.
Show less - Date Issued
- 2014
- Identifier
- CFE0005124, ucf:50674
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005124
- Title
- Internet of Things Business Modeling and Analysis using Agent-Based Simulation.
- Creator
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Basingab, Mohammed, Rabelo, Luis, Elshennawy, Ahmad, Lee, Gene, Rahal, Ahmad, University of Central Florida
- Abstract / Description
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Internet of Things (IoT) is a new vision of an integrated network covering physical objects that are able to collect and exchange data. It enables previously unconnected devices and objects to become connected using equipping devices with communication technology such as sensors and radio frequency identification tags (RFID). As technology progresses towards new paradigm such as IoT, there is a need for an approach to identify the significance of these projects. Conventional simulation...
Show moreInternet of Things (IoT) is a new vision of an integrated network covering physical objects that are able to collect and exchange data. It enables previously unconnected devices and objects to become connected using equipping devices with communication technology such as sensors and radio frequency identification tags (RFID). As technology progresses towards new paradigm such as IoT, there is a need for an approach to identify the significance of these projects. Conventional simulation modeling and data analysis approaches are not able to capture the system complexity or suffer from a lack of data needed that can help to build a prediction. Agent-based Simulation (ABM) proposes an efficient simulation scheme to capture the structure of this dimension and offer a potential solution.Two case studies were proposed in this research. The first one introduces a conceptual case study addressing the use of agent-based simulations to verify the effectiveness of the business model of IoT. The objective of the study is to assess the feasibility of such application, of the market in the city of Orlando (Florida, United States). The second case study seeks to use ABM to simulate the operational behavior of refrigeration units (7,420) in one of largest retail organizations in Saudi Arabia and assess the economic feasibility of IoT implementation by estimating the return on investment (ROI).
Show less - Date Issued
- 2017
- Identifier
- CFE0006855, ucf:51756
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006855
- Title
- A curricula assessment and improvement quantitative model for higher education: a design for six sigma methodology.
- Creator
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Halawany, Abdullah, Elshennawy, Ahmad, Lee, Gene, Rabelo, Luis, Rahal, Ahmad, University of Central Florida
- Abstract / Description
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Curricula assessment is an integrated process to assist higher education institutions in addressing the challenges in adesignated field of study and in exploring the opportunities to better educate and prepare their students for an increasinglycomplex world.Although assessment as a topic has been researched extensively, there has been a lack of quantitative tools that addressthe requirements of many of the stakeholders that may be critical to the curriculum design and assessment processes...
Show moreCurricula assessment is an integrated process to assist higher education institutions in addressing the challenges in adesignated field of study and in exploring the opportunities to better educate and prepare their students for an increasinglycomplex world.Although assessment as a topic has been researched extensively, there has been a lack of quantitative tools that addressthe requirements of many of the stakeholders that may be critical to the curriculum design and assessment processes.This research proposes the utilization of Design for Six Sigma (DFSS) to develop a quantitative model for curriculumassessment and improvement for higher education institutions. A review of the literature indicates that there is a lack ofquantitative tools that enhance the reliability and efficiency of gathering customer requirements for curriculum in highereducation environment. In addition, there is a lack of tools to translate these requirements into actual characteristics that canbe used for curriculum design and assessment purposes. The literature also indicates that curriculum assessment is one ofseveral educational processes that affect the quality of education.This research proposes a quantitative model for curriculum assessment and improvement in higher education institutions,utilizing design for six sigma methodology. The proposed model explores the use of the Kano model concept to translateneeded requirements into desirable curriculum attributes and the general concept of establishing transfer function todetermine the level at which those requirements have been satisfied. The use of the developed model can help improvestudent learning and provide curriculum stakeholders with timely feedback about the curriculum and identify areas in need ofimprovement.To validate the capability of the proposed model, an ABET accredited department of Industrial Engineering in a USuniversity was used a case study.
Show less - Date Issued
- 2014
- Identifier
- CFE0005344, ucf:50497
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005344
- Title
- ASSESSMENT FRAMEWORK FOR THE EVALUATION AND PRIORITIZATION OF UNIVERSITY TECHNOLOGIES FOR LICENSING AND COMMERCIALIZATION.
- Creator
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Rahal, Ahmad, Rabelo, Luis, University of Central Florida
- Abstract / Description
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US corporations have long recognized university related scientific research as an important source of long term economic growth and technological innovation. This dynamic involvement with industry has drastically increased the university technology transfer and licensing activities, and has stretched the human and financial resources of Technology Management and Licensing Offices of many US universities. This research provides a mechanism that can aid in the complex process of properly...
Show moreUS corporations have long recognized university related scientific research as an important source of long term economic growth and technological innovation. This dynamic involvement with industry has drastically increased the university technology transfer and licensing activities, and has stretched the human and financial resources of Technology Management and Licensing Offices of many US universities. This research provides a mechanism that can aid in the complex process of properly assessing university-owned technologies and intellectual properties, to identify those with licensing and commercialization potential for the pursuit of truly important breakthrough discoveries. This research focuses on the university technology licensing and commercialization process from the perspectives of those licensing professionals whose firms' activities are engaged in licensing-in university technologies. The objectives of this research are to: 1.Identify the decision factors and licensing determinants that influence or impact the licensing and commercialization of university technologies. 2.Build and conduct a survey among those licensing professionals involved in the technology licensing process to determine the relative importance of each of the licensing determinants identified in the literature review, and their most current and up to date selection criteria for technologies they license. 3.Develop a framework to assist the University Technology Management & Transfer Office's personnel and other stakeholders in the assessment of the potential viability of the university technologies for licensing and commercialization.
Show less - Date Issued
- 2005
- Identifier
- CFE0000659, ucf:46505
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000659
- Title
- An Engineering Analytics Based Framework for Computational Advertising Systems.
- Creator
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Chen, Mengmeng, Rabelo, Luis, Lee, Gene, Keathley, Heather, Rahal, Ahmad, University of Central Florida
- Abstract / Description
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Engineering analytics is a multifaceted landscape with a diversity of analytics tools which comes from emerging fields such as big data, machine learning, and traditional operations research. Industrial engineering is capable to optimize complex process and systems using engineering analytics elements and the traditional components such as total quality management. This dissertation has proven that industrial engineering using engineering analytics can optimize the emerging area of...
Show moreEngineering analytics is a multifaceted landscape with a diversity of analytics tools which comes from emerging fields such as big data, machine learning, and traditional operations research. Industrial engineering is capable to optimize complex process and systems using engineering analytics elements and the traditional components such as total quality management. This dissertation has proven that industrial engineering using engineering analytics can optimize the emerging area of Computational Advertising. The key was to know the different fields very well and do the right selection. However, people first need to understand and be experts in the flow of the complex application of Computational Advertising and based on the characteristics of each step map the right field of Engineering analytics and traditional Industrial Engineering. Then build the apparatus and apply it to the respective problem in question.This dissertation consists of four research papers addressing the development of a framework to tame the complexity of computational advertising and improve its usage efficiency from an advertiser's viewpoint. This new framework and its respective systems architecture combine the use of support vector machines, Recurrent Neural Networks, Deep Learning Neural Networks, traditional neural networks, Game Theory/Auction Theory with Generative adversarial networks, and Web Engineering to optimize the computational advertising bidding process and achieve a higher rate of return. The system is validated with an actual case study with commercial providers such as Google AdWords and an advertiser's budget of several million dollars.
Show less - Date Issued
- 2018
- Identifier
- CFE0007319, ucf:52118
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0007319
- Title
- Using Case-Based Reasoning for Simulation Modeling in Healthcare.
- Creator
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Alshareef, Khaled, Rabelo, Luis, Elshennawy, Ahmad, Lee, Gene, Rahal, Ahmad, University of Central Florida
- Abstract / Description
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The healthcare system is always defined as a complex system. At its core, it is a system composed of people and processes and requires performance of different tasks and duties. This complexity means that the healthcare system has many stakeholders with different interests, resulting in the emergence of many problems such as increasing healthcare costs, limited resources and low utilization, limited facilities and workforce, and poor quality of services.The use of simulation techniques to aid...
Show moreThe healthcare system is always defined as a complex system. At its core, it is a system composed of people and processes and requires performance of different tasks and duties. This complexity means that the healthcare system has many stakeholders with different interests, resulting in the emergence of many problems such as increasing healthcare costs, limited resources and low utilization, limited facilities and workforce, and poor quality of services.The use of simulation techniques to aid in solving healthcare problems is not new, but it has increased in recent years. This application faces many challenges, including a lack of real data, complicated healthcare decision making processes, low stakeholder involvement, and the working environment in the healthcare field.The objective of this research is to study the utilization of case-based reasoning in simulation modeling in the healthcare sector. This utilization would increase the involvement of stakeholders in the analysis process of the simulation modeling. This involvement would help in reducing the time needed to build the simulation model and facilitate the implementation of results and recommendations. The use of case-based reasoning will minimize the required efforts by automating the process of finding solutions. This automation uses the knowledge in the previously solved problems to develop new solutions. Thus, people could utilize the simulation modeling with little knowledge about simulation and the working environment in the healthcare field.In this study, a number of simulation cases from the healthcare field have been collected to develop the case-base. After that, an indexing system was created to store these cases in the case-base. This system defined a set of attributes for each simulation case. After that, two retrieval approaches were used as retrieval engines. These approaches are K nearest neighbors and induction tree. The validation procedure started by selecting a case study from the healthcare literature and implementing the proposed method in this study. Finally, healthcare experts were consulted to validate the results of this study.
Show less - Date Issued
- 2016
- Identifier
- CFE0006831, ucf:51769
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006831
- Title
- A Framework for Quantifying and Managing Overcrowding in Healthcare Facilities.
- Creator
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Albar, Abdulrahman, Elshennawy, Ahmad, Rabelo, Luis, Lee, Gene, Rahal, Ahmad, University of Central Florida
- Abstract / Description
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Emergency Departments (EDs) represent a crucial component of any healthcare infrastructure. In today's world, healthcare systems face growing challenges in delivering efficient and time-sensitive emergency care services to communities. Overcrowding within EDs represents one of the most significant challenges for healthcare quality that adversely impacts clinical outcomes, patient safety, and overall satisfaction. Research in this area has resulted in creating several ED crowding indices, such...
Show moreEmergency Departments (EDs) represent a crucial component of any healthcare infrastructure. In today's world, healthcare systems face growing challenges in delivering efficient and time-sensitive emergency care services to communities. Overcrowding within EDs represents one of the most significant challenges for healthcare quality that adversely impacts clinical outcomes, patient safety, and overall satisfaction. Research in this area has resulted in creating several ED crowding indices, such as National Emergency Department Overcrowding Scale (NEDOCS) and Emergency Department Work Index (EDWIN) that have been developed to provide measures aimed at mitigating overcrowding. Recently, efforts made by researchers to examine the validity and reproducibility of these indices have shown that they are not reliable in accurately assessing overcrowding in regions beyond their original design settings. The shortcomings of such indices stem from their reliance upon the perspective and feedback of only clinical staff and the exclusion of other stakeholders. These limited perspectives introduce bias in the results of ED overcrowding indices. This study starts with confirming the inaccuracy of such crowding indices through examining their validity within a new healthcare system. To overcome the shortcomings of previous indices, the study presents a novel framework for quantifying and managing overcrowding based on emulating human reasoning in overcrowding perception. The framework of the proposed study takes into consideration emergency operational and clinical factors such as patient demand, patient complexity, staffing level, clinician workload, and boarding status when defining the crowding level. The hierarchical fuzzy logic approach is utilized to accomplish the goals of this framework by combining a diverse pool of healthcare expert perspectives while addressing the complexity of the overcrowding issue. The innovative design of the developed framework reduces bias in the assessment of ED crowding by developing a knowledge-base from the perspectives of multiple experts, and allows for its implementation in a variety of healthcare settings. Statistical analysis of results indicate that the developed index outperform previous indices in reflecting expert subjective assessments of overcrowding.
Show less - Date Issued
- 2016
- Identifier
- CFE0006521, ucf:51378
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0006521