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A Prediction-Based Study Of Lean Methodologies In Hospital Emergency Departments

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This study analyzes the various applications of Lean Methodologies in emergency departments (ED) from the years 2005 through 2010. These data were then used to create a predictive model that hospitals can use to assess the benefits of using lean within their ED. Metrics studied include 1) rate of patients…

This study analyzes the various applications of Lean Methodologies in emergency departments (ED) from the years 2005 through 2010. These data were then used to create a predictive model that hospitals can use to assess the benefits of using lean within their ED. Metrics studied include 1) rate of patients that left the ED without being seen 2) length of stay and 3) overall patient satisfaction. These metrics were extracted from published studies and used to create a linear regression model, which could be applied to an ED to predict its status after implementing a lean project. After developing these formulas, they were applied to the ED of fictional hospital T-1 in order to predict benefit. After determining the approximate values for the post-lean metrics, an estimate of the financial benefit was developed in conjunction with a financial executive at Chandler Regional Medical Center, in Chandler, Arizona.
ContributorsBither, Ryan David (Author) / Riley, William (Thesis director) / Bricker, Tim (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
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An Analysis of Craft Labor Productivity

Description
Productivity in the construction industry is an essential measure of production efficiency and economic progress, quantified by craft laborers' time spent directly adding value to a project. In order to better understand craft labor productivity as an aspect of lean construction, an activity analysis was conducted at the Arizona State…

Productivity in the construction industry is an essential measure of production efficiency and economic progress, quantified by craft laborers' time spent directly adding value to a project. In order to better understand craft labor productivity as an aspect of lean construction, an activity analysis was conducted at the Arizona State University Palo Verde Main engineering dormitory construction site in December of 2016. The objective of this analysis on craft labor productivity in construction projects was to gather data regarding the efficiency of craft labor workers, make conclusions about the effects of time of day and other site-specific factors on labor productivity, as well as suggest improvements to implement in the construction process. Analysis suggests that supporting tasks, such as traveling or materials handling, constitute the majority of craft labors' efforts on the job site with the highest percentages occurring at the beginning and end of the work day. Direct work and delays were approximately equal at about 20% each hour with the highest peak occurring at lunchtime between 10:00 am and 11:00 am. The top suggestion to improve construction productivity would be to perform an extensive site utilization analysis due to the confined nature of this job site. Despite the limitations of an activity analysis to provide a complete prospective of all the factors that can affect craft labor productivity as well as the small number of days of data acquisition, this analysis provides a basic overview of the productivity at the Palo Verde Main construction site. Through this research, construction managers can more effectively generate site plans and schedules to increase labor productivity.
ContributorsFord, Emily Lucile (Author) / Grau, David (Thesis director) / Chong, Oswald (Committee member) / Civil, Environmental and Sustainable Engineering Programs (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12