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A Framework For Prioritizing Opportunities Of Improvement In The Context Of Business Excellence Model In Healthcare Organization, Alia Aldarmaki 2018 University of Central Florida

A Framework For Prioritizing Opportunities Of Improvement In The Context Of Business Excellence Model In Healthcare Organization, Alia Aldarmaki

Electronic Theses and Dissertations

In today's world, the healthcare sector is facing challenges to improve the efficiency and effectiveness of its operations. More and more improvement projects are being adopted to enhance healthcare services, making it more patient-centric, and enabling better cost control. Healthcare organizations strive to identify and carry out such improvement initiatives to sustain their businesses and gain competitive advantage. Seeking to reach a higher operational level of excellence, healthcare organizations utilize business excellence criteria to conduct assessment and identify organizational strengths and weaknesses. However, while such assessments routinely identify numerous areas for potential improvement, it is not feasible to conduct all …


Effects Of Motion Segment Simulation And Joint Positioning On Spinal Loads In Trunk Musculoskeletal Models, F. Ghezelbash, A. H. Eskandari, A. Shirazi-Adl, N. Arjmand, Z. El Ouaaid, A. Plamondon 2018 Division of Applied Mechanics, Department of Mechanical Engineering, Ecole Polytechnique

Effects Of Motion Segment Simulation And Joint Positioning On Spinal Loads In Trunk Musculoskeletal Models, F. Ghezelbash, A. H. Eskandari, A. Shirazi-Adl, N. Arjmand, Z. El Ouaaid, A. Plamondon

Études primaires

Musculoskeletal models represent spinal motion segments by spherical joints/beams with linear/nonlinear properties placed at various locations. We investigated the fidelity of these simplified models (i.e., spherical joints with/without rotational springs and beams considering nonlinear/linear properties) in predicting kinematics of the ligamentous spine in comparison with a detailed finite element (FE) model while considering various anterior-posterior joint placements. Using the simplified models with different joint offsets in a subject-specific musculoskeletal model, we computed local spinal forces during forward flexion and compared results with intradiscal pressure measurements. In comparison to the detailed FE model, linearized beam and spherical joint models failed to …


Technology Foresight: A Bibliometric Analysis To Identify Leading And Emerging Methods, Elizabeth Gibson, Tugrul U. Daim, Edwin Garces, Marina Dabic 2018 University of Colorado at Boulder

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. …


Analyzing Sensor Based Human Activity Data Using Time Series Segmentation To Determine Sleep Duration, Yogesh Deepak Lad 2018 Missouri University of Science and Technology

Analyzing Sensor Based Human Activity Data Using Time Series Segmentation To Determine Sleep Duration, Yogesh Deepak Lad

Masters Theses

"Sleep is the most important thing to rest our brain and body. A lack of sleep has adverse effects on overall personal health and may lead to a variety of health disorders. According to Data from the Center for disease control and prevention in the United States of America, there is a formidable increase in the number of people suffering from sleep disorders like insomnia, sleep apnea, hypersomnia and many more. Sleep disorders can be avoided by assessing an individual's activity over a period of time to determine the sleep pattern and duration. The sleep pattern and duration can be …


The Effect Of Task Load, Automation Reliability, And Environment Complexity On Uav Supervisory Control Performance, Sarah M. Sherwood 2018 Embry-Riddle Aeronautical University

The Effect Of Task Load, Automation Reliability, And Environment Complexity On Uav Supervisory Control Performance, Sarah M. Sherwood

Doctoral Dissertations and Master's Theses

Over the last decade, military unmanned aerial vehicles (UAVs) have experienced exponential growth and now comprise over 40% of military aircraft. However, since most military UAVs require multiple operators (usually an air vehicle operator, payload operator, and mission commander), the proliferation of UAVs has created a manpower burden within the U.S. military. Fortunately, simultaneous advances in UAV automation have enabled a switch from direct control to supervisory control; future UAV operators will no longer directly control a single UAV subsystem but, rather, will control multiple advanced, highly autonomous UAVs. However, research is needed to better understand operator performance in a …


Reflections On Teaching System Dynamics Modeling To Secondary School Students For Over 20 Years, Diana Fisher 2018 Portland State University

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

Complex Systems 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 …


Analyzing Factors Affecting Patient Satisfaction Using The Kano Model, Tejaswi Materla 2018 Missouri University of Science and Technology

Analyzing Factors Affecting Patient Satisfaction Using The Kano Model, Tejaswi Materla

Doctoral Dissertations

"Customer needs associated with the healthcare sector are constantly evolving with the technological advancements, rising costs, and shifts in patient demographics. Challenges associated with understanding patient needs impact the quality of care and life, safety, and satisfaction. The objective of this research was to develop a methodology to collect and analyze the needs associated with healthcare units that differ based on the type of care and services and patient perceptions over time. The proposed methodology provides insights into the voice of the customer through visualization of the relationship between the performance of quality attributes and customer satisfaction. Cronbach's alpha is …


An Investigation Of The Economic Order Quantity Model With Quantity Discounts Under An Environmental Objective, Tiffanie Marie Toles 2018 Missouri University of Science and Technology

An Investigation Of The Economic Order Quantity Model With Quantity Discounts Under An Environmental Objective, Tiffanie Marie Toles

Masters Theses

"In a sustainable supply chain, retailers are the direct link between customers and products. Retailers play an important role by relaying feedback such as customer satisfaction, inventory improvement, or product improvement to the other key players in a supply chain. Their overall goal is to reduce supply chain costs, such as the cost of ordering product, transporting product, or holding product in inventory. Other costs associated in a supply chain can include environmental and operations costs. It is important to consider these costs due to the impact environmental operations play in the role of how sustainable a supply chain can …


Computational Intelligence Methods For Predicting Fetal Outcomes From Heart Rate Patterns, Vinayaka Nagendra Harikishan Gude Divya Sampath 2018 Missouri University of Science and Technology

Computational Intelligence Methods For Predicting Fetal Outcomes From Heart Rate Patterns, Vinayaka Nagendra Harikishan Gude Divya Sampath

Masters Theses

"In this thesis, methods for evaluating the fetal state are compared to make predictions based on Cardiotocography (CTG) data. The first part of this research is the development of an algorithm to extract features from the CTG data. A feature extraction algorithm is presented that is capable of extracting most of the features in the SISPORTO software package as well as late and variable decelerations. The resulting features are used for classification based on both U.S. National Institutes of Health (NIH) categories and umbilical cord pH data. The first experiment uses the features to classify the results into three different …


Transmission Line Inspection Using Suspended Robot: Cost Effective Analysis And Operational Routing Identification, Balaji Rathinam Nagarajan 2018 Missouri University of Science and Technology

Transmission Line Inspection Using Suspended Robot: Cost Effective Analysis And Operational Routing Identification, Balaji Rathinam Nagarajan

Masters Theses

"High voltage transmission lines form a crucial part of the energy infrastructure of a country. Effective maintenance is required to maintain its reliability and reduce the probability of the occurrence of the outage. Conventionally, the routine inspection of the transmission line was conducted by linemen with the assistance of hot stick and helicopter, which is considered dangerous, time-consuming, and expensive.

In this thesis, we focus on the initial study of seeking the state of the art robotics technology to by largely replace human beings in transmission line inspection. The existing robotics technologies that are interested by utility companies, as well …


Evaluating Microgrid Effectiveness In Transitioning Energy Portfolios, Jacob Marshal Hale 2018 Missouri University of Science and Technology

Evaluating Microgrid Effectiveness In Transitioning Energy Portfolios, Jacob Marshal Hale

Masters Theses

"Microgrid energy systems have emerged as a potential solution to rising greenhouse gas emissions from dependence on fossil fuels. This research provides a framework for evaluating the utility of microgrids. Three key findings are presented: use of a state-of-the-art matrix (SAM) analysis to identify gaps in key research areas that inhibit wide-spread microgrid adoption, development of a system dynamics (SD) model, and a cost benefit analysis case study to evaluate microgrid feasibility in partially meeting the energy demand of a building. Governments play a central role in developing clean energy strategies. A SAM was developed to determine if key microgrid …


การเพิ่มระดับการยอมรับเทเลเมติกส์สำหรับการประกันภัยรถยนต์ในประเทศไทย, พีระวิช คงเมือง 2018 คณะวิศวกรรมศาสตร์

การเพิ่มระดับการยอมรับเทเลเมติกส์สำหรับการประกันภัยรถยนต์ในประเทศไทย, พีระวิช คงเมือง

Chulalongkorn University Theses and Dissertations (Chula ETD)

เทเลเมติกส์เป็นเทคโนโลยีใหม่ในอุตสาหกรรมประกันภัยรถยนต์ในประเทศไทย ถือกำเนิดจากความต้องการเปลี่ยนแปลงพฤติกรรมของผู้ขับขี่ให้มีความปลอดภัย ซึ่งยังไม่ได้รับการยอมรับจากลูกค้ามากนัก ผู้วิจัยจึงได้ทำการสำรวจความต้องการของลูกค้าและปัญหาการใช้งาน จากนั้นได้ทำการศึกษาทฤษฎีและงานวิจัยที่เกี่ยวข้องกับการยอมรับนวัตกรรมและเทคโนโลยี เพื่อศึกษาปัจจัยการยอมรับเทเลเมติกส์ โดยทำการวิจัยตามกระบวนการพัฒนานวัตกรรม 5D เพื่อตอบสนองความต้องการของลูกค้าอย่างมีประสิทธิภาพ การวิเคราะห์ข้อมูลและทดสอบสมมติฐาน พบว่า 2 ปัจจัยคือ สภาพสิ่งอำนวยความสะดวกในการใช้งาน และแรงจูงใจภายนอก ส่งผลต่อความตั้งใจในการใช้งาน จากนั้นใช้เทคนิคการแปลงความต้องการเชิงคุณภาพในการออกแบบแนวคิดผลิตภัณฑ์ และนำผลการศึกษาที่ได้มาใช้ในการพัฒนาเทเลเมติกส์ในครั้งนี้ ผู้วิจัยได้ทำการวิเคราะห์สถานการณ์ในปัจจุบัน โดยใช้ทฤษฎีการแพร่กระจายนวัตกรรมและศึกษาข้อกำหนดทางกฎหมายในเรื่องค่าเบี้ยประกันภัยรถยนต์ ทำให้ผู้วิจัยได้ตัดสินใจนำเทคโนโลยี Beacon เข้ามาใช้ร่วมกับแอพพลิเคชั่นเทเลเมติกส์ ซึ่งสอดคล้องกับปัจจัยการยอมรับด้านสภาพสิ่งอำนวยความสะดวกในการใช้งาน ผลการประเมินความคิดเห็นของผู้ทดลองใช้งาน 39 คน พบว่า ความตั้งใจในการใช้งาน ค่าเฉลี่ยอยู่ 3.01 ส่วนเบี่ยงเบนมาตรฐาน 0.95 เมื่อทดสอบสมมติฐานก่อนพัฒนาและหลังพัฒนา สรุปได้ว่า มีความแตกต่างอย่างมีนัยสำคัญทางสถิติที่ระดับความเชื่อมั่น 95%


Contribution Of Physical Internet Containers To Mitigate The Risk Of Cargo Theft, Yanyan Yang, Eric Ballot, Miguel Gaston Cedillo-Campos 2018 Mines ParisTech, PSL

Contribution Of Physical Internet Containers To Mitigate The Risk Of Cargo Theft, Yanyan Yang, Eric Ballot, Miguel Gaston Cedillo-Campos

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

Different from current dedicated goods distribution solutions, the goods in the Physical Internet are encapsulated in modular dimensioned standard easy-to-interlock smart containers in an open interconnected logistic system. This paper aims to study the performance of the application of this cross-chain innovative packaging solution, especially its potential against cargo theft risks. To attain this, both qualitative and quantitative studies are carried out. With a scenario-based cost-justification model, different case studies are examined. Results suggest that through the modularity and standardization, the application of Physical Internet Containers will significantly improve the logistics performance and reduce cargo theft risks.


A Framework For Modeling Material Handling With Decentralized Control, Kai Furmans, Kevin R. Gue 2018 Institute for Material Handling and Logistics, Karlsruhe Institute of Technology

A Framework For Modeling Material Handling With Decentralized Control, Kai Furmans, Kevin R. Gue

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

Despite decades of research in material handling, the academic community still has no accepted way of describing material handling requirements in a way that machines and algorithms can process them. Such a “way of describing” requires a language with which to describe requirements, objects, relationships between objects, and so on. We propose a modeling framework that differs from existing research in two ways: First, we address material handling modeling from the bottom up rather than from the top down, meaning we define a set of elementary functions and then combine them into processes and more complex relationships that allow us …


Pull-Driven Order Fulfillment In Distribution Centers, Dima Nazzal, Shankar Shanmugasundaram, Sung Kim, Russell D. Meller 2018 Fortna Inc.

Pull-Driven Order Fulfillment In Distribution Centers, Dima Nazzal, Shankar Shanmugasundaram, Sung Kim, Russell D. Meller

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

One of the challenges facing e-commerce fulfillment is the rigidity of the wave management system that often dictates a fixed batch size that must be processed before the next wave of orders is released. As a result, operation managers usually push multiple waves, which lead to accumulation at bottleneck resources, and poor synchronization at sortation engines. We demonstrate the power of operating an order fulfillment engine using the “pull” paradigm. We hypothesize that a pull-driven order fulfillment can meet the same throughput requirements achieved by the push-driven wave-based order fulfillment, but with higher speed, higher service levels, more level resource …


A Motion Capture System Framework For The Study Of Human Manufacturing Repetitive Motions, Francis Mendez, David Wierschem, Jesus Jimenez 2018 Texas State University - San Marcos

A Motion Capture System Framework For The Study Of Human Manufacturing Repetitive Motions, Francis Mendez, David Wierschem, Jesus Jimenez

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

Our research proposes a framework to obtain and analyze real time data concerning the dynamic and natural motion of individuals in manufacturing-like processes that involve human labor. The framework that we propose consists of five main components: a tracking system, a system of sensors, a processor that collects time series data, data processing and discovery module, and an alert or reporting component. Using motion capture cameras, data is collected on a variety of human subjects performing simulated labor-intensive manufacturing operations. This data is analyzed for identification of actual and optimal activity motions. This project has significant potential impact for contribution …


Digital Design Of Intralogistics Systems: Flexible And Agile Solution To Short-Cyclic Fluctuations, Anike Murrenhoff, Christoph Pott, Moritz Wernecke, Philipp-Akira Burger 2018 Fraunhofer Institute for Material Flow and Logistics

Digital Design Of Intralogistics Systems: Flexible And Agile Solution To Short-Cyclic Fluctuations, Anike Murrenhoff, Christoph Pott, Moritz Wernecke, Philipp-Akira Burger

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

In times of fast-paced, fluctuating and individual markets, intralogistics systems, such as warehouses, have to adapt to the resulting volatile performance demands dynamically. Hybrid systems, in which humans and machines work together efficiently and communicate in socio-technical networks, can be the answer to manage these high-frequency markets. Hybrid systems of the future need to adapt frequently and permanent change becomes the “new normal”. A one-time planning of warehousing systems upon first installation becomes obsolete. This results in the question of how to design and implement processes for future logistics systems in an agile way in order to exploit the flexibility …


Home Inventory Management And Last-Mile Logistics, Bhagyalakshmi V. Shrikrishna, Bharat Kulkarni, Michael G. Kay 2018 North Carolina State University at Raleigh

Home Inventory Management And Last-Mile Logistics, Bhagyalakshmi V. Shrikrishna, Bharat Kulkarni, Michael G. Kay

15th IMHRC Proceedings (Savannah, Georgia. USA – 2018)

A study of the functioning of last-mile logistics in home inventory management is described. Different patterns of the household consumptions are studied and assumed in the interim. These consumption patterns then form the automatic grocery ordering system leading to what we would refer as a “home inventory management system.” In the futuristic world. This paper focuses on the impact of driverless delivery vehicles and drone delivery to satisfy the demand of the customers in a future scenario where orders are placed automatically by a home inventory management system.


Augmenting Incident Command System For Improved Emergency Response, Meenakshi Nagarajan 2018 Wright State University

Augmenting Incident Command System For Improved Emergency Response, Meenakshi Nagarajan

Browse all Theses and Dissertations

Incident Command System provides a framework for commanders to manage an incident. However, maintaining good situation awareness in an emergency situation is often challenging to the Incident Commander. Stress may result in task fixation which may cause the commander to miss critical information and can eventually lead to poor decisions. The proposed augmented decision support system, with an integrated knowledge base, enhances the commander's decision making and situation awareness by presenting the information that may have been missed. The system has been evaluated to investigate its utility in chemical hazard scenarios. The system was used by experienced Incident Commanders to …


Two Essays On Whole Farm Modeling And Crop Marketing In Western Kentucky, Benjamin A. Martin 2018 University of Kentucky

Two Essays On Whole Farm Modeling And Crop Marketing In Western Kentucky, Benjamin A. Martin

Theses and Dissertations--Agricultural Economics

This thesis is composed of two essays that investigate whole farm planning and crop marketing in western Kentucky. In the first essay, contracting decisions between food corn producers and a mill are analyzed to observe factors affecting the bushel amount farmers contract. Unbalanced panel data containing seven years’ worth of pricing and contract information are used with a fixed-effects model to generate parameter estimates and quantify their effect on bushels contracted. It was found that contract attributes, market condition, and relationship-specific assets had a significant effect on producers’ food corn contracting decisions. The second essay utilizes mixed-integer programming to optimize …


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