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2019

Operations Research, Systems Engineering and Industrial Engineering

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Articles 1 - 30 of 64

Full-Text Articles in Engineering

Predicting The Daily Return Direction Of The Stock Market Using Hybrid Machine Learning Algorithms, X. Zhong, David Lee Enke Dec 2019

Predicting The Daily Return Direction Of The Stock Market Using Hybrid Machine Learning Algorithms, X. Zhong, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Big data analytic techniques associated with machine learning algorithms are playing an increasingly important role in various application fields, including stock market investment. However, few studies have focused on forecasting daily stock market returns, especially when using powerful machine learning techniques, such as deep neural networks (DNNs), to perform the analyses. DNNs employ various deep learning algorithms based on the combination of network structure, activation function, and model parameters, with their performance depending on the format of the data representation. This paper presents a comprehensive big data analytics process to predict the daily return direction of the SPDR S&P ...


Hedge Fund Replication Using Strategy Specific Factors, Sujit Subhash, David Lee Enke Dec 2019

Hedge Fund Replication Using Strategy Specific Factors, Sujit Subhash, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Hedge funds have traditionally served wealthy individuals and institutional investors with the promise of delivering protection of capital and uncorrelated positive returns irrespective of market direction, allowing them to better manage portfolio risk. However, the financial crisis of 2008 has heightened investor sensitivity to the high fees, illiquidity, lack of transparency, and lockup periods typically associated with hedge funds. Hedge fund replication products, or clones, seek to answer these challenges by providing daily liquidity, transparency, and immediate exposure to a desired hedge fund strategy. Nonetheless, although lowering cost and adding simplicity by using a common set of factors, traditional replication ...


Composition Of Templates For Transitional Pedipulation Behaviors, Thomas T. Topping, Vasileios Vasilopoulos, Avik De, Daniel E. Koditschek Sep 2019

Composition Of Templates For Transitional Pedipulation Behaviors, Thomas T. Topping, Vasileios Vasilopoulos, Avik De, Daniel E. Koditschek

Departmental Papers (ESE)

Abstract. We document the reliably repeatable dynamical mounting and dismounting of wheeled stools and carts, and of fixed ledges, by the Minitaur robot. Because these tasks span a range of length scales that preclude quasi-static execution, we use a hybrid dynamical systems framework to variously compose and thereby systematically reuse a small lexicon of templates (low degree of freedom behavioral primitives). The resulting behaviors comprise the key competences beyond mere locomotion required for robust implementation on a legged mobile manipulator of a simple version of the warehouseman’s problem.


Backhaul Profit Maximization Problem Instances, Yuanyuan Dong, Yulan Bai, Eli V. Olinick, Andrew Junfang Yu Aug 2019

Backhaul Profit Maximization Problem Instances, Yuanyuan Dong, Yulan Bai, Eli V. Olinick, Andrew Junfang Yu

Engineering Management, Information, and Systems Research

This archive contains data for the problem instances described in the technical report "An Empirical Study of Mixed Integer Programming Formulations of the Backhaul Profit Maximization Problem" by Yulan Bai and Eli V. Olinick.


An Empirical Study Of Mixed Integer Programming Formulations Of The Backhaul Profit Maximization Problem, Yulan Bai, Eli V. Olinick Aug 2019

An Empirical Study Of Mixed Integer Programming Formulations Of The Backhaul Profit Maximization Problem, Yulan Bai, Eli V. Olinick

Engineering Management, Information, and Systems Research

Solving an instance of the Backhaul Profit Maximization Problem (BPMP) requires simultaneously solving two problems: (1) determining how to route an empty delivery vehicle back from its current location to its depot by a scheduled arrival time, and (2) selecting a profit-maximizing subset of delivery requests between various locations on the route subject to the vehicle's capacity. We propose and test a series of enhancements to the node-arc and triples mixed integer programming formulations of BPMP found in the literature and develop a multi-criteria Composite Index Method (CIM) to evaluate the results. We find that CPLEX takes 5 to ...


Design Thinking: An Approach With Various Perceptions, Sanne Bouwman, Jesper Voorendt, Boris Eisenbart, Seda Mckilligan Aug 2019

Design Thinking: An Approach With Various Perceptions, Sanne Bouwman, Jesper Voorendt, Boris Eisenbart, Seda Mckilligan

Industrial Design Conference Presentations, Posters and Proceedings

Design Thinking has become increasingly popular across different disciplines. However, what it exactly entails is becoming more and more vague, leading to the term being used for many different approaches and applications. This paper presents an interview study with experts on the application and training of Design Thinking in academia and industry. We find a divide with some seeing Design Thinking as a mere toolbox of methods, while others see it as an umbrella term for the mindset that determines how designers think and act. Subjects unanimously attest the approach large potential to support certain types of businesses, when applied ...


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 ...


Seven Hci Grand Challenges, Constantine Stephanidis, Gavriel Salvendy, Margherita Antona, Jessie Chen, Jianming Dong, Vincent Duffy, Xiaowen Fang, Cali Fidopiastis, Gino Fragomeni, Limin Fu, Yinni Guo, Don Harris, Andri Ioannou, Kyeong-Ah (Kate) Jeong, Shin'ichi Konomi, Heidi Kromker, Masaaki Kurosu, James Lewis, Aaron Marcus, Gabriele Meiselwitz, Abbas Moallem, Hirohiko Mori, Fiona Fui-Hoon Nah, Stavroula Ntoa, Pei-Luen Rau, Dylan Schmorrow, Keng Siau, Norbert Streitz, Wentao Wang, Sakae Yamamoto, Panayiotis Zaphiris, Jia Zhou Jul 2019

Seven Hci Grand Challenges, Constantine Stephanidis, Gavriel Salvendy, Margherita Antona, Jessie Chen, Jianming Dong, Vincent Duffy, Xiaowen Fang, Cali Fidopiastis, Gino Fragomeni, Limin Fu, Yinni Guo, Don Harris, Andri Ioannou, Kyeong-Ah (Kate) Jeong, Shin'ichi Konomi, Heidi Kromker, Masaaki Kurosu, James Lewis, Aaron Marcus, Gabriele Meiselwitz, Abbas Moallem, Hirohiko Mori, Fiona Fui-Hoon Nah, Stavroula Ntoa, Pei-Luen Rau, Dylan Schmorrow, Keng Siau, Norbert Streitz, Wentao Wang, Sakae Yamamoto, Panayiotis Zaphiris, Jia Zhou

Faculty Publications

This article aims to investigate the Grand Challenges which arise in the current and emerging landscape of rapid technological evolution towards more intelligent interactive technologies, coupled with increased and widened societal needs, as well as individual and collective expectations that HCI, as a discipline, is called upon to address. A perspective oriented to humane and social values is adopted, formulating the challenges in terms of the impact of emerging intelligent interactive technologies on human life both at the individual and societal levels. Seven Grand Challenges are identified and presented in this article: Human-Technology Symbiosis; Human-Environment Interactions; Ethics, Privacy and Security ...


Maquiladoras In Central America: An Analysis Of Workforce Schedule, Productivity And Fatigue., Jose L. Barahona Jul 2019

Maquiladoras In Central America: An Analysis Of Workforce Schedule, Productivity And Fatigue., Jose L. Barahona

Masters Theses & Specialist Projects

Textile factories or Maquiladoras are very abundant and predominant in Central American economies. However, they all do not have the same standardized work schedule or routines. Most of the Maquiladoras only follow schedules and regulations established by the current labor laws without taking into consideration many variables within their organization that could affect their overall performance. As a result, the purpose of the study is to analyze the current working structure of a textile Maquiladora and determine the most suitable schedule that will abide with the current working structure but also increase production levels, employee morale and decrease employee fatigue ...


Shoulder Muscular Fatigue From Static Posture Concurrently Reduces Cognitive Attentional Resources, Mitchell L. Stephenson, Alec G. Ostrander, Hamid Norasi, Michael C. Dorneich Jun 2019

Shoulder Muscular Fatigue From Static Posture Concurrently Reduces Cognitive Attentional Resources, Mitchell L. Stephenson, Alec G. Ostrander, Hamid Norasi, Michael C. Dorneich

Industrial and Manufacturing Systems Engineering Publications

Objective: The goal of this work is to determine whether muscular fatigue concurrently reduces cognitive attentional resources in technical tasks for healthy adults.

Background: Muscular fatigue is common in the workplace but often dissociated with cognitive performance. A corpus of literature demonstrates a link between muscular fatigue and cognitive function, but few investigations demonstrate that the instigation of the former degrades the latter in a way that may affect technical task completion. For example, laparoscopic surgery increases muscular fatigue, which may risk attentional capacity reduction and undermine surgical outcomes.

Method: A total of 26 healthy participants completed a dual-task cognitive ...


An Exploratory Study Of Engineering Students’ Misconceptions About Technical Communication, Cheryl Q. Li, Judy Randi, Jenna Sheffield Jun 2019

An Exploratory Study Of Engineering Students’ Misconceptions About Technical Communication, Cheryl Q. Li, Judy Randi, Jenna Sheffield

Engineering and Applied Science Education Faculty Publications

This paper reports results of a mixed methods study that examined engineering students’ acquisition of technical communication skills over time. In particular, this exploratory study aimed to identify persistent errors, lingering misconceptions, and challenges engineering students faced when they attempted to apply their knowledge and skills in new contexts. The 12 participants were drawn from engineering courses in which students were required to compose technical memoranda in response to requests for information from supervisors or clients. This integrated approach addresses content and communication in the same course. The study included a longitudinal analysis of four technical memoranda written across two ...


Eml Indices To Assess Student Learning Through Integrated E-Learning Modules, Ronald S. Harichandran, Nadiye O. Erdil, Maria-Isabel Carnasciali, Cheryl Q. Li, Aadityasinh Rana Jun 2019

Eml Indices To Assess Student Learning Through Integrated E-Learning Modules, Ronald S. Harichandran, Nadiye O. Erdil, Maria-Isabel Carnasciali, Cheryl Q. Li, Aadityasinh Rana

Engineering and Applied Science Education Faculty Publications

The University of New Haven has facilitated the development and integration of e-learning modules on entrepreneurial topics into regular engineering and computer science courses. In addition to faculty at the University of New Haven, over three years 77 faculty at 53 other universities in the US have also integrated these modules into their courses. Starting in fall 2017, rubrics were developed so that student work related to topics covered in the modules could be assessed directly by instructors. Topics covered by each module were also mapped to learning outcomes published in the KEEN Framework [1]. An Entrepreneurial Minded Learning (EML ...


Assessing The Growth In Entrepreneurial Mind-Set Acquired Through Curricular And Extra-Curricular Components, Cheryl Q. Li, Ronald S. Harichandran, Nadiye O. Erdil, Maria-Isabel Carnasciali, Jean Nocito-Gobel Jun 2019

Assessing The Growth In Entrepreneurial Mind-Set Acquired Through Curricular And Extra-Curricular Components, Cheryl Q. Li, Ronald S. Harichandran, Nadiye O. Erdil, Maria-Isabel Carnasciali, Jean Nocito-Gobel

Engineering and Applied Science Education Faculty Publications

In an effort to develop an entrepreneurial mindset in our engineering students, the University of New Haven has adopted both curricular and extra-curricular approaches. The curricular components include: 1. Several e-Learning modules covering specific entrepreneurial concepts integrated into the regular engineering and computer science curricula. Available online, each module contains readings, short videos, and self-assessment exercises. Students complete these self-paced modules outside of the classroom over a two-week period. Instructors normally engage students on the content of the module through online or in-class discussions and in-class contextual activities. 2. An elective course on business principles and entrepreneurship that incorporates four ...


”Cyberworld” As A Theme For A University-Wide First-Year Common Course, Kristen Przyborski, Frank Breitinger, Lauren Beck, Ronald S. Harichandran Jun 2019

”Cyberworld” As A Theme For A University-Wide First-Year Common Course, Kristen Przyborski, Frank Breitinger, Lauren Beck, Ronald S. Harichandran

Engineering and Applied Science Education Faculty Publications

Nowadays we all live in a cyber world and use the internet for emailing, banking, streaming video, shopping, reading news, or other activities. Given all the time people spend online, it is important that all students (regardless of their major) learn some basics about living in a cyber world, e.g., strategies for online safety, impact of artificial intelligence, digital forensics or ancestry.com. To facilitate students from many majors to learn about important issues related to the internet, eight faculty from a variety of disciplines at the University of New Haven integrated the theme of Cyber World into our ...


Assessing An Online Engineering Ethics Module From Experiential Learning Perspective, Gokhan Egilmez, Philip Viscomi, Maria-Isabel Carnasciali Jun 2019

Assessing An Online Engineering Ethics Module From Experiential Learning Perspective, Gokhan Egilmez, Philip Viscomi, Maria-Isabel Carnasciali

Engineering and Applied Science Education Faculty Publications

Today, engineers play a crucial role in the direction of technology, research, social wellbeing, and economic growth, thus the lives of people. An engineer’s professional responsibility for complying with ethical standards and conduct is essential to the needs and requirements of individuals, organizations, and the society. Educating the future engineering workforce and establishing effective and timely policies that ensure engineering professional’s compliance with requirements are two important pillars of sustaining the ethical knowledge and practice in engineering profession. In this study, the researchers focused on investigating the learning effectiveness of an online ethics module developed for and implemented ...


Motivating Students For Learning Using Scaffolding And A Variety Of Assignments, Nadiye O. Erdil Jun 2019

Motivating Students For Learning Using Scaffolding And A Variety Of Assignments, Nadiye O. Erdil

Engineering and Applied Science Education Faculty Publications

This paper discusses the impacts of various course assignments and activities that were used to increase student motivation and learning. The courses selected for the study are Quality Analysis and Design of Experiments courses, which are offered as required courses in the industrial engineering graduate program at the University of New Haven. The assignments and activities include term project, term paper, homework, in-class exercises, quizzes, exams, library training and factory visit. In an earlier pilot study in the Quality Analysis course, scaffolding -an instructional strategy that enables students to build on prior experience and knowledge as they work towards mastering ...


Systematizing Gibsonian Affordances In Robotics: An Empirical, Generative Approach Derived From Case Studies In Legged Locomotion, Sonia F. Roberts, Lisa J. Miracchi, Daniel E. Koditschek May 2019

Systematizing Gibsonian Affordances In Robotics: An Empirical, Generative Approach Derived From Case Studies In Legged Locomotion, Sonia F. Roberts, Lisa J. Miracchi, Daniel E. Koditschek

Departmental Papers (ESE)

A Gibsonian theory of affordances commits to direct perception and the mutuality of the agent-environment system. We argue that there already exists a research program in robotics which incorporates Gibsonian affordances. Controllers under this research program use information perceived directly from the environment with little or no further processing, and implicitly respect the indivisibility of the agentenvironment system. Research investigating the relationships between environmental and robot properties can be used to design reactive controllers that provably allow robots to take advantage of these affordances. We lay out key features of our empirical, generative Gibsonian approach and both show how it ...


Mechanical And Virtual Compliance For Robot Locomotion In A Compliant World, Sonia F. Roberts, Daniel E. Koditschek May 2019

Mechanical And Virtual Compliance For Robot Locomotion In A Compliant World, Sonia F. Roberts, Daniel E. Koditschek

Departmental Papers (ESE)

This abstract was accepted to the Robot Design and Customization workshop at ICRA 2019.

For more information: Kod*lab.


Rapid In Situ Characterization Of Soil Erodibility With A Field Deployable Robot, Feifei Qian, Dylan Lee, George Nikolich, Daniel E. Koditschek, Douglas J. Jerolmack May 2019

Rapid In Situ Characterization Of Soil Erodibility With A Field Deployable Robot, Feifei Qian, Dylan Lee, George Nikolich, Daniel E. Koditschek, Douglas J. Jerolmack

Departmental Papers (ESE)

Predicting the susceptibility of soil to wind erosion is difficult because it is a multivariate function of grain size, soil moisture, compaction, and biological growth. Erosive agents like plowing and grazing also differ in mechanism from entrainment by fluid shear; it is unclear if and how erosion thresholds for each process are related. Here we demonstrate the potential to rapidly assemble empirical maps of erodibility while also examining what controls it, using a novel “plowing” test of surface-soil shear resistance (𝜏r) performed by a semi-autonomous robot. Field work at White Sands National Monument, New Mexico, United States, examined gradients ...


Evaluating The Scalability Of The Sonication Method Of Graphene Oxide Synthesis, Evan Dexter May 2019

Evaluating The Scalability Of The Sonication Method Of Graphene Oxide Synthesis, Evan Dexter

Honors Program Projects

Graphene is a new material that was first isolated in 2004, and consists of one to a few atomic layers of carbon in a lattice sheet structure. Graphene has high tensile strength, high surface area, very low electrical resistance, and various other special properties that make it an excellent material for use in emerging technologies in the categories of electrical components, energy systems, and high strength applications. The production scale of graphene sheets and its variations is currently limited to laboratory use, with increasing research being conducted toward the development of manufacturing techniques of the material. We conducted experiments to ...


Vision Sensor Based Action Recognition For Improving Efficiency And Quality Under The Environment Of Industry 4.0, Zipeng Wang, Ruwen Qin, Jihong Yan, Chaozhong Guo May 2019

Vision Sensor Based Action Recognition For Improving Efficiency And Quality Under The Environment Of Industry 4.0, Zipeng Wang, Ruwen Qin, Jihong Yan, Chaozhong Guo

Engineering Management and Systems Engineering Faculty Research & Creative Works

In the environment of industry 4.0, human beings are still an important influencing factor of efficiency and quality which are the core of product life cycle management. Hence, monitoring and analyzing humans' actions are essential. This paper proposes a vision sensor based method to evaluate the accuracy of operators' actions. Each action of operators is recognized in real time by a Convolutional Neural Network (CNN) based classification model in which hierarchical clustering is introduced to minimize the effects of action uncertainty. Warnings are triggered when incorrect actions occur in real time and applications of action analysis of workers on ...


Mitigating Energy Loss In A Robot Hopping On A Physically Emulated Dissipative Substrate, Sonia F. Roberts, Daniel E. Koditschek May 2019

Mitigating Energy Loss In A Robot Hopping On A Physically Emulated Dissipative Substrate, Sonia F. Roberts, Daniel E. Koditschek

Departmental Papers (ESE)

We work with geoscientists studying erosion and desertification to improve the spatial and temporal resolution of their data collection over long transects in difficult realworld environments such as deserts. The Minitaur robot, which can run quickly over uneven terrain and use a single leg to measure relevant ground properties such as stiffness, is an attractive scout robot candidate for inclusion in a heterogeneous team in collaboration with a heavily geared, sensor-laden RHex. However, Minitaur is challenged by long-distance locomotion on sand dunes. Previous simulation results suggested that the energetic cost of transport can be mitigated by programming a virtual damping ...


Nutrient Storage Cover, Nick Jamison, Cole Reighard, Andy Russ, Shweta Chopra, Jacek A. Koziel Apr 2019

Nutrient Storage Cover, Nick Jamison, Cole Reighard, Andy Russ, Shweta Chopra, Jacek A. Koziel

TSM 416 Technology Capstone Projects

Smithfield Hog Production has several processing facilities across the state of Iowa along with numerous contract finishing farms where producers grow their pigs. The hog manure on these sites is pumped into a slurry store for storage. A slurry store is a 1.2-million-gallon round tank that is 18-feet-tall and 120-foot diameter. Since the slurry store is open to the weather, it accumulates rain, snow, and other types of precipitation.

While evaporation generally equals precipitation, there are some years where precipitation is greater than evaporation. The result is a reduction in manure holding capacity and additional cost to hog production ...


An Aco-Inspired, Probabilistic, Greedy Approach To The Drone Traveling Salesman Problem, Jessica Houseknecht Apr 2019

An Aco-Inspired, Probabilistic, Greedy Approach To The Drone Traveling Salesman Problem, Jessica Houseknecht

Senior Honors Theses

In recent years, major companies have done research on using drones for parcel delivery. Research has shown that this can result in significant savings, which has led to the formulation of various truck and drone routing and scheduling optimization problems. This paper explains and analyzes a new approach to the Drone Traveling Salesman Problem (DTSP) based on ant colony optimization (ACO).

The ACO-based approach has an acceptance policy that maximizes the usage of the drone. The results reveal that the pheromone causes the algorithm to converge quickly to the best solution. The algorithm performs comparably to the MIP model, CP ...


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.


Conduction Maize Drying For Emerging African Communities, Todd Van Dyke, Brett Olson, Jacob Titmus, Michael Shippy, Shweta Chopra, Jacek A. Koziel Apr 2019

Conduction Maize Drying For Emerging African Communities, Todd Van Dyke, Brett Olson, Jacob Titmus, Michael Shippy, Shweta Chopra, Jacek A. Koziel

TSM 416 Technology Capstone Projects

Currently, in emerging African Communities, they are putting their maize out on mats to be dried under the sun. They are having problems with animals and humans stealing their produce along with maize weevils destroying their crops. Our objective is to create a mobile and efficient system that can dry grain on a need basis. It also needs to be made from materials that are easily obtained in these communities. The product will not be able to utilize electricity or gas to the main source of fuel will be fire. This is not the first time that this problem is ...


Cardinal Ig: Keying Process, Jacob Raveling, Benjamin Shaver, Mary Gail Knutson, Shweta Chopra, Jacek A. Koziel Apr 2019

Cardinal Ig: Keying Process, Jacob Raveling, Benjamin Shaver, Mary Gail Knutson, Shweta Chopra, Jacek A. Koziel

TSM 416 Technology Capstone Projects

The current process for setting guide keys into aluminum extrusions is performed manually. It is a tedious and unergonomic process. The team needs to evaluate the process for improvement or replacement.

The keying process is done by hand. Each key has to be placed in a channel one by one. Then keys are secured into the channels by using a wooden block which is smashed against the keys. This process is taking too much time, and it is hard on the employee’s hands. When attempting to secure the keys in the channels, a hole begins to wear into their ...


Process Improvement For Material Breakdown, Kirshanthi Ganesa Moorthy, Michael Patten, Matthew Klug, Steven Brousseau, Shweta Chopra, Jacek A. Koziel Apr 2019

Process Improvement For Material Breakdown, Kirshanthi Ganesa Moorthy, Michael Patten, Matthew Klug, Steven Brousseau, Shweta Chopra, Jacek A. Koziel

TSM 416 Technology Capstone Projects

  • Cardinal Glass Industries is a management-owned S-Corporation. They develop residential glass for windows and doors. Cardinal Glass has around 6000 employees in 37 locations across the United States and two research centers located in Wisconsin and Minnesota. Their goal is to design and fabricate the most advanced residential glass products in the industry.
  • The problem that they are facing right now is maximizing the efficiency of cutting down foam blocks and sponge material. The foam blocks are used during the key-in process while the sponge material is used for wiping excess glue off the glass.


Cost Analysis Of Swine Manure Separation, Lucas Meyer, Mason Moeller, Todd Muell, Shweta Chopra, Jacek A. Koziel Apr 2019

Cost Analysis Of Swine Manure Separation, Lucas Meyer, Mason Moeller, Todd Muell, Shweta Chopra, Jacek A. Koziel

TSM 416 Technology Capstone Projects

Smithfield Foods Inc. was founded in 1936 by Joseph W. Luter and his son Joseph W. Luter, Jr., with the name Smithfield Packing Company. The company name was later changed to Smithfield Foods in 1974. Smithfield Foods Inc. is quite proud of their guiding principles (Responsibility, Operational Excellence & Innovation) and this small excerpt defines their company as a whole, “We will seek fresh ideas in all aspects of business, including ways to work smarter, serve customers better, and make Smithfield a better company.” (Smithfield Foods, 2019).

The issue that we worked on was how swine producers want to decrease the inefficiency of hauling raw manure slurry and increase manure application systems by separating solids and liquids produced in a typical shallow pit barn with an external manure storage system. There is a moderate amount of research that has been done on swine manure separation, but quite a bit of it is outdated. The current application of raw manure slurry is altogether expensive and inefficient by the traditional method of transporting the manure by large tanks, while post-separated manure could be transported further distances more efficiently. The increasing manure application possibilities and transporting regulations have been a large part of the project in the context of the future of swine production.

Given the elements of the project:

  • Minimal research has been completed on current swine manure separation methods
  • Manure separation is expensive, and its feasibility is all dependent on a producer's budget and the overall size of their operation
  • Multiple costs associated with implementing a separation method (Solid & liquid storage, separation equipment, additional labor, etc.)

It is critical for producers/growers to comprehend the true benefits of implementing a separation method at this time before future regulations become required. The cost analysis tool will give producers the capability to view several costs associated with a particular separation method. When adopting a separation method, there two important benefits; higher efficiency of transporting manure farther distance and the cost-effectiveness increase tremendously.