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

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

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

Mohsen Shahhosseini

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 ...


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 ...


Mid To Late Season Weed Detection In Soybean Production Fields Using Unmanned Aerial Vehicle And Machine Learning, Arun Narenthiran Veeranampalayam Sivakumar Jul 2019

Mid To Late Season Weed Detection In Soybean Production Fields Using Unmanned Aerial Vehicle And Machine Learning, Arun Narenthiran Veeranampalayam Sivakumar

Biological Systems Engineering--Dissertations, Theses, and Student Research

Mid-late season weeds are those that escape the early season herbicide applications and those that emerge late in the season. They might not affect the crop yield, but if uncontrolled, will produce a large number of seeds causing problems in the subsequent years. In this study, high-resolution aerial imagery of mid-season weeds in soybean fields was captured using an unmanned aerial vehicle (UAV) and the performance of two different automated weed detection approaches – patch-based classification and object detection was studied for site-specific weed management. For the patch-based classification approach, several conventional machine learning models on Haralick texture features were compared ...


Challenges Of Erau’S First Suborbital Flight Aboard Blue Origin’S New Shepard M7 For The Cell Research Experiment In Microgravity (Crexim), Pedro Llanos, Kristina Andrijauskaite, Vijay V. Duraisamy, Francisco F. Pastrana, Erik Seedhouse, Sathya Gangadharan, Leonid Bunegin, Mariel Rico Jun 2019

Challenges Of Erau’S First Suborbital Flight Aboard Blue Origin’S New Shepard M7 For The Cell Research Experiment In Microgravity (Crexim), Pedro Llanos, Kristina Andrijauskaite, Vijay V. Duraisamy, Francisco F. Pastrana, Erik Seedhouse, Sathya Gangadharan, Leonid Bunegin, Mariel Rico

Pedro J. Llanos (www.AstronauticsLlanos.com)

Cell Research Experiment In Microgravity (CRExIM) was launched aboard Blue Origin’s New Shepard suborbital vehicle on Tuesday, December 12, 2017, from the West Texas Launch Site in Van Horn, Texas. One of the aims of this science experiment was to assess the effects of microgravity on murine T-cells during suborbital flight. These cells were placed in a NanoLab with a data logger that sensed the acceleration, temperature, and relative humidity during preflight, flight, and postflight operations. Some discrepancies in sensor measurement were noticed, and these errors were attributed partly to the difference in sampling rates and partly to the ...


Applications Of Optimization Modeling In Multi-Disciplinary Engineering Research, Anton F. Astner, Ekramul Haque Ehite, Yang Li, Colin Sasthav Apr 2019

Applications Of Optimization Modeling In Multi-Disciplinary Engineering Research, Anton F. Astner, Ekramul Haque Ehite, Yang Li, Colin Sasthav

Biosystems Engineering and Soil Science Publications and Other Works

Optimization modeling is the process of selection of the best solution to a design problem using predetermined constraints from a set of prospective solutions. Increased computing power has made optimization solvers readily available for business/research needs. For example, Microsoft Excel has a simple, but robust solver. Such solvers can model linear, nonlinear, and integer programming problems that are limited in size. This study shows the use of the optimization model solvers in various research contexts.


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 ...


Analysis Of User Preference With N95 And Powered Air-Purifying Respirators In A Healthcare Work Environment, Brittany Renee Carver Jan 2019

Analysis Of User Preference With N95 And Powered Air-Purifying Respirators In A Healthcare Work Environment, Brittany Renee Carver

Graduate Theses, Dissertations, and Problem Reports

For those working in the healthcare field, personal protective equipment is vital. Healthcare workers are often first responders when it comes to dealing with patients who are infected or when a disease outbreak occurs. The Occupational Safety and Health Administration (OSHA) requires all healthcare operations to provide employee protection against blood borne pathogens. With the increase of life-threatening disease outbreaks, such as SARS in 2003 and Ebola in 2014, it is of the upmost importance to make sure respirators are best suited for users and acceptable for long term use. It has been shown through previous studies that due to ...


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

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

Shweta Chopra

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 ...


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 ...


The Role Of Criticality Of Gene Regulatory Networks On Emergent Properties Of Biological Systems, Hyobin Kim May 2018

The Role Of Criticality Of Gene Regulatory Networks On Emergent Properties Of Biological Systems, Hyobin Kim

Graduate Dissertations and Theses

The relationship between criticality of gene regulatory networks (GRNs) and dynamics of GRNs at a single cell level has been vigorously studied. However, the relationship between the criticality of GRNs and properties of multicellular organisms at a higher level has not been fully explored. Here we aim at revealing potential roles of the criticality of GRNs at a multicellular and hierarchical level, using a random Boolean network as a GRN. We perform three studies. Firstly, we propose a GRN-based morphogenetic model, and delve into the role of the criticality of GRNs in morphogenesis at a multicellular level. Secondly, we include ...


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

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

Shweta Chopra

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 ...


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 ...


2d Pattern Development Of Cycle Wear From 3d Human Body Scan Data, Hyun Jeong Park, Wolhee Do Jan 2018

2d Pattern Development Of Cycle Wear From 3d Human Body Scan Data, Hyun Jeong Park, Wolhee Do

International Textile and Apparel Association (ITAA) Annual Conference Proceedings

The purpose of this study is to develop cycling shorts considering the lower body surface changes in male high school cyclists according to their cycling postures. In this method, a male high school cyclist who wears "M" size was selected and the 3D human body scan was performed. In the case of cycling, the lower body posture was shown at various angles by the bending of the body and the rotation of the leg (Cha, 2013). Therefore, the postures of the waist and the knee were set to 145° and 90° in this study. The human body scan was performed ...


The Rhetoric Of Science Education And Technology, Iwasan D. Kejawa Jan 2018

The Rhetoric Of Science Education And Technology, Iwasan D. Kejawa

CSE Journal Articles

Nearly thousands of science experiments are performed both on humans and animals every year in the United States (Gregory, 1999). Does Science enormously play a role in the well-beings of individual in the society? Research has found that science education is through motivation and satisfying the needs of humans. The scientific world is part of an elongated human development. This can be substantiated with the use and evolution of TECHNOLOGY and SCIENCE (Minton, 2004). Education of the entities that comprise the need to achieve the goal of TECHNOLOGY and SCIENCE which are important issues of today. Research has shown that ...


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

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 ...


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 ...


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 ...


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 ...


A Current State Analysis Of Preventive Control Requirements And Traceability Infrastructure In Small U.S. Food Facilities, Quin Schultz Jan 2018

A Current State Analysis Of Preventive Control Requirements And Traceability Infrastructure In Small U.S. Food Facilities, Quin Schultz

Graduate Theses and Dissertations

In 2011, the U.S. government enacted the Food Safety Modernization Act (FSMA). The goal of the new legislation was to reduce the 48 million people per year in the U.S. who are affected by food borne illnesses through the requirement of preventive controls in food supply chains. Compliance dates for small food businesses started in 2017, when the new preventive control measures were required to be implemented. This research focuses on understanding the current state of FSMA preventive control requirements in relationship to small food facilities. Also, an assessment of the traceability infrastructure within small food facilities was ...


Extrinsic And Intrinsic Control Of Integrative Processes In Neural Systems, Anirban Nandi Dec 2017

Extrinsic And Intrinsic Control Of Integrative Processes In Neural Systems, Anirban Nandi

Engineering and Applied Science Theses & Dissertations

At the simplest dynamical level, neurons can be understood as integrators. That is, neurons accumulate excitation from afferent neurons until, eventually, a threshold is reached and they produce a spike. Here, we consider the control of integrative processes in neural circuits in two contexts. First, we consider the problem of extrinsic neurocontrol, or modulating the spiking activity of neural circuits using stimulation, as is desired in a wide range of neural engineering applications. From a control-theoretic standpoint, such a problem presents several interesting nuances, including discontinuity in the dynamics due to the spiking process, and the technological limitations associated with ...


Classification Of Rest And Active Periods In Actigraphy Data Using Pca, Isaac W. Muns, Yogesh Lad, Ivan G. Guardiola, Matthew S. Thimgan Nov 2017

Classification Of Rest And Active Periods In Actigraphy Data Using Pca, Isaac W. Muns, Yogesh Lad, Ivan G. Guardiola, Matthew S. Thimgan

Engineering Management and Systems Engineering Faculty Research & Creative Works

In this paper we highlight a clustering algorithm for the purpose of identifying sleep and wake periods directly from actigraphy signals. The paper makes use of statistical Principal Component Analysis to identify periods of rest and activity. The aim of the proposed methodology is to develop a quick and efficient method to determine the sleep duration of an individual. In addition, a robust method that can identify sleep periods in the accelerometer data when duration, time of day varies by individual. A selected group of 10 individual's sensor data consisting of actigraphy from an accelerometer (3-axis), near body temperature ...


Predictive Power And Validity Of Connectome Predictive Modeling: A Replication And Extension, Michael Wang, Joaquin Goni, Enrico Amico Aug 2017

Predictive Power And Validity Of Connectome Predictive Modeling: A Replication And Extension, Michael Wang, Joaquin Goni, Enrico Amico

The Summer Undergraduate Research Fellowship (SURF) Symposium

Neuroimaging, particularly functional magnetic resonance imaging (fMRI), is a rapidly growing research area and has applications ranging from disease classification to understanding neural development. With new advancements in imaging technology, researchers must employ new techniques to accommodate the influx of high resolution data sets. Here, we replicate a new technique: connectome-based predictive modeling (CPM), which constructs a linear predictive model of brain connectivity and behavior. CPM’s advantages over classic machine learning techniques include its relative ease of implementation and transparency compared to “black box” opaqueness and complexity. Is this method efficient, powerful, and reliable in the prediction of behavioral ...


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 ...


Establishment Of Innovative Shared Departments To Advance Interdisciplinary Education, Ronald S. Harichandran, Brian Kench, Summer Mcgee, Michael A. Collura, Jean Nocito-Gobel, Charles David Skipton Jun 2017

Establishment Of Innovative Shared Departments To Advance Interdisciplinary Education, Ronald S. Harichandran, Brian Kench, Summer Mcgee, Michael A. Collura, Jean Nocito-Gobel, Charles David Skipton

Engineering and Applied Science Education Faculty Publications

More and more universities are pursuing interdisciplinary academic activities that span across department and college boundaries. Administrative structures to facilitate such programs are difficult to establish within traditional university frameworks consisting of disciplinary departments and colleges. Often interdisciplinary programs are housed in a traditional disciplinary department or college, or in a standalone center reporting to a college dean or the provost. The difficulty of these structures is obtaining broad buy-in from faculty across departments and having disciplinary degree programs include interdisciplinary coursework.

To overcome the difficulties described above, an innovative shared department structure that fosters collaborations to advance interdisciplinary education ...


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 ...


Developing Sustainable Rice Production Through Image Classification, Parker R. Fitzgerald May 2017

Developing Sustainable Rice Production Through Image Classification, Parker R. Fitzgerald

Industrial Engineering Undergraduate Honors Theses

The agricultural industry’s continued success is critical to our future. However, many agricultural practices—specifically rice farming—are currently based on unsustainable methods. The processes used in rice farming consume water at an unsupportable rate, and, consequently, are serious contributors to rising emission levels. Several alternative growing methods have been introduced, and one of the most promising candidates is Alternative Wetting and Drying (AWD). An obstacle encountered by proponents of these methods comes in implementation. Studies have shown AWD is more successful in fields with higher leveling precision. The research in this study works to create a stepping stone ...


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 Apr 2017

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

Richard T. Stone

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 ...


Chocolate Bar Wrapping Machine, Austin M. Hoff, Daniel R. Trepke, Caleb B. Krichbuam Jan 2017

Chocolate Bar Wrapping Machine, Austin M. Hoff, Daniel R. Trepke, Caleb B. Krichbuam

Williams Honors College, Honors Research Projects

Gilbert Chocolates has proposed to manufacture a machine to wrap chocolate bars. This machine is intended to replace two people wrapping the chocolate bars by hand, which is a time consuming method. This is especially apparent between October and January when the workers are working long hours in preparation for the Christmas rush of customers. Currently wrapping a bar takes about a minute and Gilbert Chocolates wants this time reduced down to 20-30 seconds. The budget for this project is set at $1000, and is being funded by the company. This machine needs to fit in a cubic foot of ...