Open Access. Powered by Scholars. Published by Universities.®

Operations Research, Systems Engineering and Industrial Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 30 of 45

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Forecasting Corn Yield With Machine Learning Ensembles, Mohsen Shahhosseini, Guiping Hu, Sotirios Archontoulis Jan 2020

Forecasting Corn Yield With Machine Learning Ensembles, Mohsen Shahhosseini, Guiping Hu, Sotirios Archontoulis

Industrial and Manufacturing Systems Engineering Publications

The emerge of new technologies to synthesize and analyze big data with high-performance computing, has increased our capacity to more accurately predict crop yields. Recent research has shown that Machine learning (ML) can provide reasonable predictions, faster, and with higher flexibility compared to simulation crop modeling. The earlier the prediction during the growing season the better, but this has not been thoroughly investigated as previous studies considered all data available to predict yields. This paper provides a machine learning based framework to forecast corn yields in three US Corn Belt states (Illinois, Indiana, and Iowa) considering complete and partial in-season ...


Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher Aug 2019

Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher

Agricultural and Biosystems Engineering Publications

Although machine learning methods have been used as an outcome prediction tool in many fields, their utilization in predicting incident outcome in occupational safety is relatively new. This study tests the performance of machine learning techniques in modeling and predicting occupational incidents severity with respect to accessible information of injured workers in agribusiness industries using workers’ compensation claims. More than 33,000 incidents within agribusiness industries in the Midwest of the United States for 2008–2016 were analyzed. The total cost of incidents was extracted and classified from workers’ compensation claims. Supervised machine learning algorithms for classification (support vector machines ...


Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable Jul 2019

Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable

Industrial and Manufacturing Systems Engineering Publications

New genotyping technologies have made large amounts of genotypic data available for plant breeders to use in their efforts to accelerate the rate of genetic gain. Genomic selection (GS) techniques allow breeders to use genotypic data to identify and select, for example, plants predicted to exhibit drought tolerance, thereby saving expensive and limited field-testing resources relative to phenotyping all plants within a population. A major limitation of existing GS approaches is the trade-off between short-term genetic gain and long-term potential. Some approaches focus on achieving short-term genetic gain at the cost of reduced genetic diversity necessary for long-term gains. In ...


Crop Yield Prediction Using Deep Neural Networks, Saeed Khaki, Lizhi Wang May 2019

Crop Yield Prediction Using Deep Neural Networks, Saeed Khaki, Lizhi Wang

Industrial and Manufacturing Systems Engineering Publications

Crop yield is a highly complex trait determined by multiple factors such as genotype, environment, and their interactions. Accurate yield prediction requires fundamental understanding of the functional relationship between yield and these interactive factors, and to reveal such relationship requires both comprehensive datasets and powerful algorithms. In the 2018 Syngenta Crop Challenge, Syngenta released several large datasets that recorded the genotype and yield performances of 2,267 maize hybrids planted in 2,247 locations between 2008 and 2016 and asked participants to predict the yield performance in 2017. As one of the winning teams, we designed a deep neural network ...


Maize Yield And Nitrate Loss Prediction With Machine Learning Algorithms, Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu, Sotirios Archontoulis Jan 2019

Maize Yield And Nitrate Loss Prediction With Machine Learning Algorithms, Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu, Sotirios Archontoulis

Industrial and Manufacturing Systems Engineering Publications

Pre-season prediction of crop production outcomes such as grain yields and N losses can provide insights to stakeholders when making decisions. Simulation models can assist in scenario planning, but their use is limited because of data requirements and long run times. Thus, there is a need for more computationally expedient approaches to scale up predictions. We evaluated the potential of five machine learning (ML) algorithms as meta-models for a cropping systems simulator (APSIM) to inform future decision-support tool development. We asked: 1) How well do ML meta-models predict maize yield and N losses using pre-season information? 2) How many data ...


Techno-Economic Analysis (Tea) Of Extruded Aquafeeds, Rashid Suleiman, Kurt A. Rosentrater Jul 2018

Techno-Economic Analysis (Tea) Of Extruded Aquafeeds, Rashid Suleiman, Kurt A. Rosentrater

Agricultural and Biosystems Engineering Publications

The worldwide decline and overexploitation of ocean fisheries stocks had provided an incentive for the rapid growth of aquaculture. The aquaculture industry has been recognized as the fastest-growing food production system globally, with a 10% increase in production per year and is one of the most reliable and sustainable growth markets for manufactured feeds. Extrusion technology has been extensively used in the modern aquatic feed manufacturing, due to nutritional, physical properties improvements and cost effectiveness of feeds. Cost related to aquatic feed remains the biggest challenge, especially for small-scale producers. In order to understand costs and potential breakeven points, a ...


Using Workers’ Compensation Claims Data To Characterize Occupational Injuries In The Biofuels Industry, Sai K. Ramaswamy, Gretchen A. Mosher Mar 2018

Using Workers’ Compensation Claims Data To Characterize Occupational Injuries In The Biofuels Industry, Sai K. Ramaswamy, Gretchen A. Mosher

Agricultural and Biosystems Engineering Publications

Biofuels production is a fast growing and emerging industry. Occupational injuries are a serious problem due to their human, financial and social costs, yet little research has been published on injuries in the biofuels industry. Learning from past injuries are essential for preventing future occurrences, but the lack of injury information hinders this effort in the biofuels industry. The present study addresses this knowledge gap by utilizing data from over 900 workers’ compensation claims reported from 2008 to 2016 by ethanol and biodiesel facilities in the U.S. to characterize injury costs and severity. The total amount paid for each ...


Challenges In Technology Adoption In Indian Public Distribution System: A Quality Management Approach, Varun Chhabra, Shweta Chopra, Prashant Rajan Jan 2018

Challenges In Technology Adoption In Indian Public Distribution System: A Quality Management Approach, Varun Chhabra, Shweta Chopra, Prashant Rajan

Agricultural and Biosystems Engineering Publications

Information and communication technologies are being used by various countries to provide faster and transparent services to their citizens through e-government initiatives. A large population in developing countries remain deprived of these services due to lack of skills, training and infrastructure. Local community intermediaries with necessary skills are employed to provide these services to beneficiaries. The purpose of this study was to identify and prioritise the challenges faced by intermediaries in adopting e-government technology. Quality management tools of list reduction, affinity diagram and Pareto chart were used for this purpose. Utilising quality management tools is an unconventional approach to problem ...


Design And Field Evaluation Of A Ground Robot For High-Throughput Phenotyping Of Energy Sorghum, Sierra N. Young, Erkan Kayacan, Joshua Peschel Jan 2018

Design And Field Evaluation Of A Ground Robot For High-Throughput Phenotyping Of Energy Sorghum, Sierra N. Young, Erkan Kayacan, Joshua Peschel

Agricultural and Biosystems Engineering Publications

This article describes the design and field evaluation of a low-cost, high-throughput phenotyping robot for energy sorghum for use in biofuel production. High-throughput phenotyping approaches have been used in isolated growth chambers or greenhouses, but there is a growing need for field-based, precision agriculture techniques to measure large quantities of plants at high spatial and temporal resolutions throughout a growing season. A low-cost, tracked mobile robot was developed to collect phenotypic data for individual plants and tested on two separate energy sorghum fields in Central Illinois during summer 2016. Stereo imaging techniques determined plant height, and a depth sensor measured ...


Evaluating The Effectiveness Of Graduated Stress Exposure In Virtual Spaceflight Hazard Training, Tor T. Finseth, Nir Keren, Michael C. Dorneich, Warren D. Franke, Clayton C. Anderson, Mack C. Shelley Ii Jan 2018

Evaluating The Effectiveness Of Graduated Stress Exposure In Virtual Spaceflight Hazard Training, Tor T. Finseth, Nir Keren, Michael C. Dorneich, Warren D. Franke, Clayton C. Anderson, Mack C. Shelley Ii

Industrial and Manufacturing Systems Engineering Publications

Psychological and physiological stress experienced by astronauts can pose risks to mission success. In clinical settings, gradually increasing stressors help patients develop resilience. It is unclear whether graduated stress exposure can affect responses to acute stressors during spaceflight. This study evaluated psychophysiological responses to potentially catastrophic spaceflight operation, with and without graduated stress exposure, using a virtual reality environment. Twenty healthy participants were tasked with locating a fire on a virtual International Space Station (VR-ISS). After orientation, the treatment group (n = 10) practiced searching for a fire while exposed to a low-level stressor (light smoke), while the control group (n ...


Three New Approaches To Genomic Selection, Lizhi Wang, Guodong Zhu, Will Johnson, Mriga Kher Jan 2018

Three New Approaches To Genomic Selection, Lizhi Wang, Guodong Zhu, Will Johnson, Mriga Kher

Industrial and Manufacturing Systems Engineering Publications

Conventional genomic selection approaches use breeding values to evaluate individual plants or animals and to make selection decisions. Multiple variants of breeding values and selection approaches have been proposed, but they suffer two major limitations. First, selection decisions are not responsive to changes in time and resource availability. Second, selection decisions are not coordinated with related decisions such as mating and resource allocation. We present three new genomic selection approaches that attempt to address these two limitations, which were designed by engineering students in a class project at Iowa State University. Compared with previous approaches using the same data set ...


Let’S Stop Treating Our Youth Like Dummies, William E. Field, Yuan-Hsin Cheng, Roger Tormoehlen, Robert Aherin, Charles V. Schwab, Daniel Neenan, Matthew Roberts Jan 2018

Let’S Stop Treating Our Youth Like Dummies, William E. Field, Yuan-Hsin Cheng, Roger Tormoehlen, Robert Aherin, Charles V. Schwab, Daniel Neenan, Matthew Roberts

Agricultural and Biosystems Engineering Publications

At a recent training event to evaluate various types of rescue devices and strategies to extricate victims from partial entrapment in free-flowing grain, a group of volunteer high school students were invited to participate as test subjects. For each test, two youth were equipped with full-body harnesses and lifelines, asked to stand on the grain surface in a semi-trailer load of dry corn, and then allowed to be drawn into the grain as the bottom discharge gate under each youth was opened. Both “victims” were drawn into the grain at either end of the trailer at the same time, each ...


Estimating Passive Stress Acting On A Grain Entrapment Victim’S Chest, Salah F. Issa, Carl Wassgren, Charles V. Schwab, Richard Stroshine, William E. Field Jan 2018

Estimating Passive Stress Acting On A Grain Entrapment Victim’S Chest, Salah F. Issa, Carl Wassgren, Charles V. Schwab, Richard Stroshine, William E. Field

Agricultural and Biosystems Engineering Publications

Grain entrapments remain a major concern in the grain industry, with 1,100 incidents documented since the 1970s. One particular concern is the ability of a victim to breathe while entrapped in grain. Anecdotal reports suggest that victims struggle to breathe when entrapped in grain to a depth that covers their chests, yet some evidence indicates that victims should be able to breathe normally as long as their airways are not blocked regardless of depth. The hypothesis for this discrepancy is that previously published experiments measured an active stress state in the grain, while a person breathing also experiences a ...


Prediction Of Extraction Forces For Entrapment Victim In Common Grain Storage Conditions, Charles V. Schwab, Pamela J. Schwab, Lauren E. Schwab Jan 2018

Prediction Of Extraction Forces For Entrapment Victim In Common Grain Storage Conditions, Charles V. Schwab, Pamela J. Schwab, Lauren E. Schwab

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

One contributor to agriculture’s high death rate is confined space fatalities caused by entrapment in granular materials. Over 1,000 grain-related fatalities have been documented by researchers in 43 states, and those states with the largest grain storage capacities have been shown to experience a proportionally large number of the suffocation fatalities. Several researchers have measured extraction forces in specific conditions, but a reference standard for estimating the extraction forces for a grain suffocation victim in common conditions is needed. A prediction model for estimating extraction forces was developed using the principle of boundary shear, an approximation of human ...


Utilizing Multivariate Analysis For Assessing Student Learning Through Effective College-Industry Partnerships, Caleb Burns, Shweta Chopra, Mack C. Shelley Ii, Gretchen A. Mosher Jan 2018

Utilizing Multivariate Analysis For Assessing Student Learning Through Effective College-Industry Partnerships, Caleb Burns, Shweta Chopra, Mack C. Shelley Ii, Gretchen A. Mosher

Political Science Publications

There is no doubt that college–industry collaborations are vital to the success of undergraduate students with engineering and technology majors. This collaboration provides students with an opportunity to bridge the gap between classroom education and real-world experience. Inviting industry representatives to engage in the classroom and involving students with professional organizations, student field trips, virtual plant tours, and industry-focused final projects are ways in which an instructor can incorporate student–industry engagement into their course. During their undergraduate degree program, students are required to participate in an internship program where they gain substantial industry engagement and opportunities to learn ...


Virtual Operator Models For Off-Highway Machine Virtual Prototyping, Yu Du, Michael C. Dorneich, Brian L. Steward Jul 2017

Virtual Operator Models For Off-Highway Machine Virtual Prototyping, Yu Du, Michael C. Dorneich, Brian L. Steward

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

Increasing demands on the world‘s resources require the design of off-highway machines that provide greater functionality and productivity along with greater efficiency. Model-based or virtual design provides a means for achieving these design improvements with reduced time and costs. However, virtual design is often limited by the fidelity with which human operators are modeled. A greater understanding of how highly skilled operators obtain high machine performance and productivity can inform machine development and advance agricultural and construction machine automation technology. This research investigated how machine operator expertise, strategies, and decision-making can be integrated into operator models that simulate authentic ...


Assessing The Validity Of Facilitated-Volunteered Geographic Information: Comparisons Of Expert And Novice Ratings, Kelly Kalvelage, Michael C. Dorneich, Christopher Seeger, Gregory Welk, Stephen B. Gilbert, Jon Moon, Imad Jafir, Phyllis Brown May 2017

Assessing The Validity Of Facilitated-Volunteered Geographic Information: Comparisons Of Expert And Novice Ratings, Kelly Kalvelage, Michael C. Dorneich, Christopher Seeger, Gregory Welk, Stephen B. Gilbert, Jon Moon, Imad Jafir, Phyllis Brown

Industrial and Manufacturing Systems Engineering Publications

Facilitated-voluntary geographic information (f-VGI) is a promising method to enable systematic collection of data from residents about their physical and social environment. The method capitalizes on ubiquitous mobile smartphones to empower collection of geospatially-referenced data. It is important to evaluate the validity of user-generated content for use in research or program planning. The purpose of this study was to test whether the aggregated environmental (“bikeability”) ratings from novice community residents converges with ratings from experts using a robust research-based, paper audit-tool (the established Pedestrian Environment Data Scan (PEDS) tool). Equivalence testing statistically showed overall agreement between the composite ratings of ...


Likelihood Of Entanglement When Materials Are Dropped Vertically Onto A Rotating Pto Knuckle, Charles V. Schwab, Isaac J. Rempe Jan 2017

Likelihood Of Entanglement When Materials Are Dropped Vertically Onto A Rotating Pto Knuckle, Charles V. Schwab, Isaac J. Rempe

Agricultural and Biosystems Engineering Publications

Power take-off (PTO) is a common method of transferring power from a tractor to a towed piece of machinery. The PTO is also a well-documented cause of severe and often permanent disabling injuries to farm operators. The physical conditions that cause entanglements are not well established. Several studies have explored the parameters of PTO entanglements as materials have been drawn across a rotating PTO knuckle to test for entanglement probability. The objective of this study was to determine probability of entanglement when materials are dropped vertically onto a PTO knuckle spinning at 540 rpm. A total of 360 randomized trials ...


Systematic Design For Trait Introgression Projects, John N. Cameron, Ye Han, Lizhi Wang, William D. Beavis Jan 2017

Systematic Design For Trait Introgression Projects, John N. Cameron, Ye Han, Lizhi Wang, William D. Beavis

Industrial and Manufacturing Systems Engineering Publications

We demonstrate an innovative approach for designing Trait Introgression (TI) projects based on optimization principles from Operations Research. If the designs of TI projects are based on clear and measurable objectives, they can be translated into mathematical models with decision variables and constraints that can be translated into Pareto optimality plots associated with any arbitrary selection strategy. The Pareto plots can be used to make rational decisions concerning the trade-offs between maximizing the probability of success while minimizing costs and time. The systematic rigor associated with a cost, time and probability of success (CTP) framework is well suited to designing ...


Utility Of Baroreflex Sensitivity As A Marker Of Stress, Amanda A. Anderson, Nir Keren, Andrew Lilja, Kevin Godby, Stephen B. Gilbert, Warren D. Franke Jun 2016

Utility Of Baroreflex Sensitivity As A Marker Of Stress, Amanda A. Anderson, Nir Keren, Andrew Lilja, Kevin Godby, Stephen B. Gilbert, Warren D. Franke

Industrial and Manufacturing Systems Engineering Publications

Presently, adaptive systems use various cognitive and cardiovascular measures to evaluate the functional state of the operator. One marker that has been largely ignored as an assessment tool is baroreflex sensitivity (BRS). This study examined the extent to which BRS changed in response to acute psychological and physical stressors. A total of 20 participants underwent 6-min exposures to a psychological stressor and a physical stressor. Baroreceptor sensitivity, blood pressure, heart rate, heart rate variability, stroke volume, cardiac output, mean blood pressure, total peripheral resistance, left ventricular ejection time, and pre-ejection period were continuously measured at rest and throughout the testing ...


Analysis Of Food Hub Commerce And Participation Using Agent-Based Modeling: Integrating Financial And Social Drivers, Caroline C. Krejci, Richard Stone, Michael Dorneich, Stephen B. Gilbert Feb 2016

Analysis Of Food Hub Commerce And Participation Using Agent-Based Modeling: Integrating Financial And Social Drivers, Caroline C. Krejci, Richard Stone, Michael Dorneich, Stephen B. Gilbert

Industrial and Manufacturing Systems Engineering Publications

Objective: Factors influencing long-term viability of an intermediated regional food supply network (food hub) were modeled using agent-based modeling techniques informed by interview data gathered from food hub participants.

Background: Previous analyses of food hub dynamics focused primarily on financial drivers rather than social factors and have not used mathematical models.

Method: Based on qualitative and quantitative data gathered from 22 customers and 11 vendors at a midwestern food hub, an agent-based model (ABM) was created with distinct consumer personas characterizing the range of consumer priorities. A comparison study determined if the ABM behaved differently than a model based on ...


Evaluating The Value Of Dynamic Terrain Simulation On Training Quality, Stephen B. Gilbert, Nir Keren, Eliot H. Winer, Warren D. Franke, Kevin Godby, Anastacia Macallister, Chloe Mcpherson, Julio De La Cruz, Applied Research Associates Jan 2016

Evaluating The Value Of Dynamic Terrain Simulation On Training Quality, Stephen B. Gilbert, Nir Keren, Eliot H. Winer, Warren D. Franke, Kevin Godby, Anastacia Macallister, Chloe Mcpherson, Julio De La Cruz, Applied Research Associates

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Warfighters perform a variety of civilian duties, such as construction. For example, in Iraq, from 2004-2011, the US Army carried out over 5,000 construction projects. Training warfighters on heavy construction equipment is a timeconsuming task that contrasts with shrinking military budgets. Simulation-based training offers improved training for fewer resources. Simulators can decrease time to task proficiency by up to 90%.

Identifying the pertinent features needed for a construction equipment trainer is challenging. For example, a critical skill is identifying different soil types. Lifting too much soil can damage equipment while not taking enough can cause significant delays. An experimental ...


A Design Framework For Off-Road Equipment Automation, Brian L. Steward, Lie Tang, Shufeng Han Jan 2015

A Design Framework For Off-Road Equipment Automation, Brian L. Steward, Lie Tang, Shufeng Han

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

Design frameworks can be helpful in the development of complex systems needed to automate machines. Designing autonomous off-road machinery requires having the means for managing the complexity of multiple interacting systems. A design framework, consisting of four technical layers, is presented. These layers are (1) machine architecture, (2) machine awareness, (3) machine control, and (4) machine behavior. Examples of technology advanced in development efforts of autonomous, robotic platforms for agricultural applications are provided. Linkages were made to applications in the construction machinery sector. Similarities between agricultural and construction automation exist in each of the technical layers.


Development Of A Quality Decision-Making Scenario To Measure How Employees Handle Out-Of-Condition Grain, Gretchen A. Mosher, Nir Keren, Charles R. Hurburgh Jr. Jan 2013

Development Of A Quality Decision-Making Scenario To Measure How Employees Handle Out-Of-Condition Grain, Gretchen A. Mosher, Nir Keren, Charles R. Hurburgh Jr.

Agricultural and Biosystems Engineering Publications

Quality management systems have been shown to improve inventory management, increase internal efficiencies, and enhance the ability of businesses to meet customer specifications, but little work has explored the role of employee decisions in the success of such systems. This work used the methodology of process-tracing to examine the decision-making process of grain elevator employees (n=164) as they determined how to handle out-of-condition corn. Employees overwhelmingly chose to either follow management orders or to make a non-choice rather than to make a decision which would preserve the quality of the grain. Employees equally emphasized decision-making dimensions of storage risk ...


Evaluating Program Outcomes Via Decision Making Simulations, Steven A. Freeman, Nir Keren Nov 2012

Evaluating Program Outcomes Via Decision Making Simulations, Steven A. Freeman, Nir Keren

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

Decision making-based methodology was proposed for evaluating program outcomes. The methodology was tested to measure the effect of safety enhancing curriculum on Safety Awareness, one of the 15 competencies ABE is using in program outcome evaluations. The results indicated a significant increase in safety awareness and shift in cognitive processes following implementation of the curriculum. Since ABE measures competencies via supervisory evaluation of graduates, the authors examine the opportunity of developing a longitudinal study for measuring the magnitude of impact of curriculum on outcomes at the workplace.


Factors Considered In The Development Of Curricular Content In Engineering Technology For Diverse Audiences, Gretchen A. Mosher, Chad M. Laux Nov 2012

Factors Considered In The Development Of Curricular Content In Engineering Technology For Diverse Audiences, Gretchen A. Mosher, Chad M. Laux

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

Supply chains which handle and process bulk materials such as food ingredients and food stuffs have unique needs and challenges. Bulk material supply chains are characterized by the aggregation of large, homogeneous lots of product intended for a wide spectrum of end uses. Transportation and storage functions are also completed within a large-scale system, which add complexity to the management of these types of supply chains (Thakur & Hurburgh, 2009). Uncertainty and risk management are especially challenging.

The systems approach of engineering technology offers strategies for managing operations, risk and uncertainty in bulk materials supply chains. Furthermore, engineering technology graduates often ...


Measurement Of Quality-Based Risks In The Bulk Material Supply Chain, Gretchen A. Mosher Nov 2012

Measurement Of Quality-Based Risks In The Bulk Material Supply Chain, Gretchen A. Mosher

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

The audience will learn about the process used to identify, quantify, and evaluation quality risks in the bulk material supply chain. Use of the process map will be discussed from a quality management perspective. Implications for industrial practice will be shared.


What We Have Learned About Experience, Time Pressure, And Difficult Tradeoffs From Experiments With Firefighters In Virtual Reality, Nir Keren Nov 2012

What We Have Learned About Experience, Time Pressure, And Difficult Tradeoffs From Experiments With Firefighters In Virtual Reality, Nir Keren

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

In general, attendees will learn that experience does not guarantee faster and more accurate decisions. Furthermore, experienced firefighters demonstrated higher level of threat‐related stress than inexperienced firefighters.


Mapping Potential Foodsheds In Iowa: A System Optimization Modeling Approach, Guiping Hu, Randy Boeckenstedt, Lizhi Wang, Susan W. Arendt Jan 2012

Mapping Potential Foodsheds In Iowa: A System Optimization Modeling Approach, Guiping Hu, Randy Boeckenstedt, Lizhi Wang, Susan W. Arendt

Leopold Center Completed Grant Reports

Linear programming tools are used to gauge regional potential for local diversified agriculture required to meet the dietary needs of the population.


Analysis Of Safety Decision-Making Data Using Event Tree Analysis, Gretchen A. Mosher, Nir Keren Nov 2011

Analysis Of Safety Decision-Making Data Using Event Tree Analysis, Gretchen A. Mosher, Nir Keren

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

Predicting and analyzing employee safety decision-making is an important component of managing safety in the workplace. This presentation will discuss the process of transforming existing safety decisionmaking data into an event tree pathway. Event tree analysis methodology is utilized to identify contributing factors in complex systems, illustrate interrelationships of the causes of specified events, and to quantify probabilities of occurrence for each pathway of events. Once pathways are constructed and probabilities for each are estimated, safety decision paths with the highest probabilities can be targeted for educational intervention. Thus, the use of safety decision-making data with event tree analysis has ...