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Operational Research

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Articles 1 - 30 of 192

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

Teleporting Through Virtual Environments: Effects Of Path Scale And Environment Scale On Spatial Updating, Jonathan W. Kelly, Alec G. Ostrander, Alex F. Lim, Lucia A. Cherep, Stephen B. Gilbert Jan 2020

Teleporting Through Virtual Environments: Effects Of Path Scale And Environment Scale On Spatial Updating, Jonathan W. Kelly, Alec G. Ostrander, Alex F. Lim, Lucia A. Cherep, Stephen B. Gilbert

Industrial and Manufacturing Systems Engineering Publications

Virtual reality systems typically allow users to physically walk and turn, but virtual environments (VEs) often exceed the available walking space. Teleporting has become a common user interface, whereby the user aims a laser pointer to indicate the desired location, and sometimes orientation, in the VE before being transported without self-motion cues. This study evaluated the influence of rotational self-motion cues on spatial updating performance when teleporting, and whether the importance of rotational cues varies across movement scale and environment scale. Participants performed a triangle completion task by teleporting along two outbound path legs before pointing to the unmarked path ...


Complementarity‐Based Selection Strategy For Genomic Selection, Saba Moeinizade, Megan Wellner, Guiping Hu, Lizhi Wang Jan 2020

Complementarity‐Based Selection Strategy For Genomic Selection, Saba Moeinizade, Megan Wellner, Guiping Hu, Lizhi Wang

Industrial and Manufacturing Systems Engineering Publications

Genomic selection is a technique that breeders use to select plant or animal individuals to mate and produce new generations of species. The conventional selection method is to select individuals that are either observed or predicted to be the best based on the assumption that parents with better phenotypes will produce better offspring. A major limitation of this method is its focus on the short‐term genetic gains at the cost of genetic diversity and long‐term growth potential. Recently, several new genomic selection methods were proposed to maximize the long‐term potential. Along this research direction, we propose a ...


Generating Partial Civil Information Model Views Using A Semantic Information Retrieval Approach, Tuyen Le, H. David Jeong, Stephen B. Gilbert, Evgeny Chukharev-Khudilaynen Jan 2020

Generating Partial Civil Information Model Views Using A Semantic Information Retrieval Approach, Tuyen Le, H. David Jeong, Stephen B. Gilbert, Evgeny Chukharev-Khudilaynen

Industrial and Manufacturing Systems Engineering Publications

Open data standards (e.g. LandXML, TransXML, CityGML) are a key to addressing the interoperability issue in exchanging civil information modeling (CIM) data throughout the project life-cycle. Since these schemas include rich sets of data types covering a wide range of assets and disciplines, model view definitions (MVDs) which define subsets of a schema are required to specify what types of data to be shared in accordance with a specific exchange scenario. The traditional procedure for generating and implementing MVDs is time-consuming and laborious as entities and attributes relevant to a particular data exchange context are manually identified by domain ...


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 ...


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 ...


Design By Taking Perspectives: How Engineers Explore Problems, Jaclyn K. Murray, Jaryn A. Studer, Shanna R. Daly, Seda Mckilligan, Colleen M. Seifert Apr 2019

Design By Taking Perspectives: How Engineers Explore Problems, Jaclyn K. Murray, Jaryn A. Studer, Shanna R. Daly, Seda Mckilligan, Colleen M. Seifert

Industrial Design Publications

Background: Problem exploration includes identifying, framing, and defining design problems and bounding problem spaces. Intentional and unintentional changes in problem understanding naturally occur as designers explore design problems to create solutions. Through problem exploration, new perspectives on the problem can emerge along with new and diverse ideas for solutions. By considering multiple problem perspectives varying in scope and focus, designers position themselves to increase their understandings of the “real” problem and engage in more diverse idea generation processes leading to an increasing variety of potential solutions.

Purpose/Hypothesis: The purpose of this study was to investigate systematic patterns in problem ...


Distribution System Outage Management After Extreme Weather Events, Anmar Arif Jan 2019

Distribution System Outage Management After Extreme Weather Events, Anmar Arif

Graduate Theses and Dissertations

The main topic of this dissertation is the recovery operation of distribution networks after extreme weather events. The study focuses on coordinating crews, equipment, and distribution network operations. While utilities have established protocols for recovering distribution networks, areas for continued development still exist, especially with the increase of distributed generators and controllable switches. After major weather events, one of the greatest challenges that operators face is managing the large influx of crews required to repair the damage and to reestablish normal network operations. The aim of this work is to improve current practices and provide assistance to utilities in their ...


Optimizing Ensemble Weights For Machine Learning Models: A Case Study For Housing Price Prediction, Mohsen Shahhosseini, Guiping Hu, Hieu Pham Jan 2019

Optimizing Ensemble Weights For Machine Learning Models: A Case Study For Housing Price Prediction, Mohsen Shahhosseini, Guiping Hu, Hieu Pham

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Designing ensemble learners has been recognized as one of the significant trends in the field of data knowledge especially in data science competitions. Building models that are able to outperform all individual models in terms of bias, which is the error due to the difference in the average model predictions and actual values, and variance, which is the variability of model predictions, has been the main goal of the studies in this area. An optimization model has been proposed in this paper to design ensembles that try to minimize bias and variance of predictions. Focusing on service sciences, two well-known ...


A Multi-Stage Optimization Model For Flexibility In Engineering Design, Ramin Giahi, Cameron A. Mackenzie, Chao Hu Jan 2019

A Multi-Stage Optimization Model For Flexibility In Engineering Design, Ramin Giahi, Cameron A. Mackenzie, Chao Hu

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Engineered systems often operate in uncertain environments. Understanding different environments under which a system will operate is important in engineering design. Thus, there is a need to design systems with the capability to respond to future changes. This research explores designing a hybrid renewable energy system while taking into account long-range uncertainties of 20 years. The objective is to minimize the expected cost of the hybrid renewable energy system over the next 20 years. A design solution may be flexible, which means that the design can be adapted or modified to meet different scenarios in the future. The value of ...


Vaccine Distribution Strategies Against Polio: An Analysis Of Turkey Scenario, Elif Elçin Günay, Kijung Park, Sena Aydoğan, Gül E. Okudan Kremer Jan 2019

Vaccine Distribution Strategies Against Polio: An Analysis Of Turkey Scenario, Elif Elçin Günay, Kijung Park, Sena Aydoğan, Gül E. Okudan Kremer

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

As a result of the ongoing Syrian civil war, almost 3 million refugees moved to Turkey since 2011 because of security reasons. However, the government operated refugee camps have been largely inadequate to accommodate this huge number of refugees. Therefore, almost 91% of the Syrian refugees live out of government-operated camps. According to a Turkish Disaster and Emergency Management Agency (AFAD) report, 45.4% of the children under 5 years old who live out of camps are not vaccinated against polio. This presents a serious health threat to the local population and the whole region. In order to deal with ...


Facility Location Selection For The Humanitarian Needs Of Refugees, Elif Elçin Günay, Kijung Park, Srujana Kandukuri, Gül E. Okudan Kremer Jan 2019

Facility Location Selection For The Humanitarian Needs Of Refugees, Elif Elçin Günay, Kijung Park, Srujana Kandukuri, Gül E. Okudan Kremer

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

As a result of civil war in Syria and Turkey’s open-door policy, almost 3 million refugees moved to Turkey since March 2011. The unexpected arrival of a large number of refugees within a relatively short period of time caused inadequate planning of the government-operated camps to fulfill the humanitarian needs of those affected individuals. The purpose of this study is to develop an optimization model that helps in the distribution of humanitarian aid to the refugees. The multi-objective optimization model decides on the facility locations by integrating total transportation distance minimization and covered demand maximization. Uncertainties in the supply ...


Optimizing The Design Of Planting Experiments For Agricultural Crops, Ashley Swift Jan 2019

Optimizing The Design Of Planting Experiments For Agricultural Crops, Ashley Swift

Graduate Theses and Dissertations

In commercial breeding, new genotypes are constantly being created and need to be tested to understand how a specific seed will perform in its target locations. A major constraint is that a genotype needs to go through multiple years of testing before it can be commercialized. With the volume of new genotypes that are constantly being enhanced, it is unrealistic to test every genotype in every target environment. Here, a methodology has been created that considers the fact that there are limited resources, whether it be limited space or a limited number of each genotype available in a single planting ...


Solving Arc Routing Problems For Winter Road Maintenance Operations, Luning Zhang Jan 2019

Solving Arc Routing Problems For Winter Road Maintenance Operations, Luning Zhang

Graduate Theses and Dissertations

For winter road maintenance, a fleet of snowplow trucks is operated by government agencies to remove snow and ice on roadways and spread materials for anti-icing, de-icing, or increasing friction. Winter road maintenance is essential for providing safe and efficient service for road users (Usman et al., 2010). It is also costly due to the high cost of equipment, crew, and materials. Optimizing winter road maintenance operations could result in significant cost savings, improved safety and mobility, and reduced environmental and social impacts (Salazar-Aguilar et al., 2012).

The first topic in this study focuses on designing routes for winter maintenance ...


Simulating Severe Supply Chain Disruptions With Multiple Suppliers And Firms, Kevin Korniejczuk Jan 2019

Simulating Severe Supply Chain Disruptions With Multiple Suppliers And Firms, Kevin Korniejczuk

Creative Components

Global supply chains are susceptible to disruptions. Disruptions in one part of the world can lead to supply chain problems for companies around the world. This creative component analyzes a model of severe supply chain disruptions where several suppliers encounter inoperable facilities, resulting in potential shortages for firms which purchase from those suppliers. All entities within the model are able to choose strategic initiatives to maintain operations. If an entity’s facility is closed because of a disruptive event, the entity can choose to move production to an alternate facility. If an entity’s facility is undamaged, the entity can ...


Engineering Economic Valuation Of Ready-Made Design For Transportation Vehicles, Zhuoyi Zhao, John Jackman, K. Jo Min Jan 2019

Engineering Economic Valuation Of Ready-Made Design For Transportation Vehicles, Zhuoyi Zhao, John Jackman, K. Jo Min

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Nowadays, transportation vehicles are upfront equipped with fuel saving devices such as winglets in airplanes so as to reduce fuel consumption. By ready-made design, we mean this approaching of equipping upfront on transportation vehicles. In this article, under the reasonable assumption that the fuel cost is volatile and follows a geometric Brownian motion (GBM) process, we use the theory of stochastic optimal control (1) to determine the threshold of fuel cost to decommission such a transportation vehicle, and (2) to determine the engineering economic valuation of such a design. For the threshold and the valuation, we proceed to obtain the ...


Logistic Depot Planning Under Repair And Maintenance Cost Uncertainties Under Changing Climate, Zhuoyi Zhao, John Jackman, K. Jo Min Jan 2019

Logistic Depot Planning Under Repair And Maintenance Cost Uncertainties Under Changing Climate, Zhuoyi Zhao, John Jackman, K. Jo Min

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

With the changing climates, numerous broadly defined logistical depots ranging from air and sea ports to bus and train stations all suffer from volatile repair and maintenance costs that are fluctuating and on average increasing over time. At the same time, human-made (i.e., typically governments) policies often influences the repair and maintenance costs as well (e.g., the environmentally friendly disposal policies for the repair and maintenance components). Under these circumstances, we first construct stochastic control models based on binomial lattices when the repair and maintenance costs are following geometric Brownian motion processes while the human-made policies follow Poisson ...


A Value-Focused Thinking Approach To Measuring Community Resilience, Rohit Suresh Jan 2019

A Value-Focused Thinking Approach To Measuring Community Resilience, Rohit Suresh

Graduate Theses and Dissertations

Community resilience is an important component of long- term planning for a town or a city. Resilience generally refers to the ability of a system or a community to withstand a disruption and to recover from a disruption, but specific definitions and measures for resilience can vary widely from researcher to research or from discipline to discipline. Community resilience is often measured using a set of indicators based on census, socioeconomic, and community organizational data, but little research has attempted to assess how closely these measures correlate with a community’s ability to withstand or recover from a disruption. Engineering ...


An Agent-Based Approach To Modeling Sustainable Sociotechnical Systems, Anuj Mittal Jan 2019

An Agent-Based Approach To Modeling Sustainable Sociotechnical Systems, Anuj Mittal

Graduate Theses and Dissertations

A gradual evolution in the food and energy sectors towards decentralized decision-making is requiring participant organizations to consider new approaches to the design of policies and processes. Increasing consumer preference for food sourced from small-scale regional farmers has led to changing logistics requirements. Similarly, as consumers have become conscious of the impacts of climate change on the environment, they have begun to adopt renewable sources to meet their energy needs. Moreover, the emergence of new technologies has enabled consumers to generate their own energy. Such shifts in decision-making power to consumers necessitates the consideration of their perspectives and preferences when ...


Improving Plant Disease Recognition With Generative Adversarial Network Under Limited Training Set, Luning Bi Jan 2019

Improving Plant Disease Recognition With Generative Adversarial Network Under Limited Training Set, Luning Bi

Graduate Theses and Dissertations

This thesis introduces a generative adversarial network (GAN) based method to classify diseased images using a limited training set. A general introduction of machine learning applications in the agriculture domain is provided. The issue of plant disease recognition has been investigated in this thesis.

First, the successful applications of convolutional neural networks (CNNs) to plant disease classification have been reviewed. It is found out that most of the methods are built under the assumption that there is enough training set. The issue of limited training data is overlooked. Thus, the over-fitting problem caused by a limited training set is discussed ...


Evaluating The Reliability, Coverage, And Added Value Of Crowdsourced Traffic Incident Reports From Waze, Mostafa Amin-Naseri, Pranamesh Chakraborty, Anuj Sharma, Stephen B. Gilbert, Mingyi Hong Dec 2018

Evaluating The Reliability, Coverage, And Added Value Of Crowdsourced Traffic Incident Reports From Waze, Mostafa Amin-Naseri, Pranamesh Chakraborty, Anuj Sharma, Stephen B. Gilbert, Mingyi Hong

Civil, Construction and Environmental Engineering Publications

Traffic managers strive to have the most accurate information on road conditions, normally by using sensors and cameras, to act effectively in response to incidents. The prevalence of crowdsourced traffic information that has become available to traffic managers brings hope and yet raises important questions about the proper strategy for allocating resources to monitoring methods. Although many researchers have indicated the potential value in crowdsourced data, it is crucial to quantitatively explore its validity and coverage as a new source of data. This research studied crowdsourced data from a smartphone navigation application called Waze to identify the characteristics of this ...


Statistical Reliability Of Wind Power Scenarios And Stochastic Unit Commitment Cost, Didem Sari, Sarah M. Ryan Nov 2018

Statistical Reliability Of Wind Power Scenarios And Stochastic Unit Commitment Cost, Didem Sari, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

Probabilistic wind power scenarios constitute a crucial input for stochastic day-ahead unit commitment in power systems with deep penetration of wind generation. To minimize the cost of implemented solutions, the scenario time series of wind power amounts available should accurately represent the stochastic process for available wind power as it is estimated on the day ahead. The high computational demands of stochastic programming motivate a search for ways to evaluate scenarios without extensively simulating the stochastic unit commitment procedure. The statistical reliability of wind power scenario sets can be assessed by approaches extended from ensemble forecast verification. We examine the ...


Conditions Under Which Adjustability Lowers The Cost Of A Robust Linear Program, Ali Haddad-Sisakht, Sarah M. Ryan Oct 2018

Conditions Under Which Adjustability Lowers The Cost Of A Robust Linear Program, Ali Haddad-Sisakht, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

The adjustable robust counterpart (ARC) of an uncertain linear program extends the robust counterpart (RC) by allowing some decision variables to adjust to the realizations of some uncertain parameters. The ARC may produce a less conservative and costly solution than the RC does but cases are known in which it does not. While the literature documents some examples of cost savings provided by adjustability (particularly affine adjustability), it is not straightforward to determine in advance whether they will materialize. The affine adjustable robust counterpart, while having a tractable structure, still may be much larger than the original problem. We establish ...


Strategies To Redefine The Problem Exploration Space For Design Innovation, Seda Mckilligan, Samantha L. Creeger Sep 2018

Strategies To Redefine The Problem Exploration Space For Design Innovation, Seda Mckilligan, Samantha L. Creeger

Industrial Design Conference Presentations, Posters and Proceedings

Designers are used to solving problems that are given to them, leading them to focus on creating feasible solutions rather than exploring novel perspectives on the presented problems. Creative innovations in problem understanding may lead directly to more innovation solutions. Although problem exploration has been identified as a key process in design thinking, how designers restructure and reframe the problem is not fully examined. The present work aimed to understand how designers intentionally explore variants of problems on the way to solutions. Through an empirical study industrial design students, we documented a high degree of variation in the problem perspectives ...


Feedback Design Considerations For Intelligent Team Tutoring Systems, Jamiahus Walton, Alec Ostrander, Kaitlyn M. Ouverson, Stephen B. Gilbert, Michael C. Dorneich, Eliot H. Winer, Anne Sinatra Sep 2018

Feedback Design Considerations For Intelligent Team Tutoring Systems, Jamiahus Walton, Alec Ostrander, Kaitlyn M. Ouverson, Stephen B. Gilbert, Michael C. Dorneich, Eliot H. Winer, Anne Sinatra

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Challenges arise when developing a computer-based Intelligent Team Tutoring System (ITTS) that attempts to deliver feedback to teams as effectively as a human tutor. The purpose of this current work is to outline elements of feedback that should be considered when designing feedback for an ITTS. The authors present the results of a study that consisted of 32 participants grouped into 16 teams of two. Each team conducted a surveillance task where they received individual or team feedback. Feedback content was written using either the bald (direct feedback; no need for interpretation) or off-record (general feedback; interpretation needed) etiquette strategy ...


Developing An Optimized Ui For Traffic Incident Managers, Andrina Helgerson, Jamiahus Walton, Celia Loya, Christopher Kawell, Katherine Atwell, Quinn Monaghan, Lakshay Ahuja, Hesham Galal Hassan, Stephen B. Gilbert, Anuj Sharma Sep 2018

Developing An Optimized Ui For Traffic Incident Managers, Andrina Helgerson, Jamiahus Walton, Celia Loya, Christopher Kawell, Katherine Atwell, Quinn Monaghan, Lakshay Ahuja, Hesham Galal Hassan, Stephen B. Gilbert, Anuj Sharma

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Traffic Incident Managers (TIMs) coordinate first responders and help resolve traffic-related incidents. Currently, some use over fifteen different software applications with unique functionalities across three monitors to manage incidents, leading to redundant data entry, unnecessary task switching, and delayed responses. 40 hours of TIMs’ screens were recorded during their normal work hours at the Iowa Department of Transportation (DoT). The resulting task analysis from these videos greatly influenced the design of a simplified, web-based, user interface (UI) prototype. The new UI offers a 42.9% reduction in the steps required to manage an incident by combining the functionality of the ...


An Analysis Of Video Games Using The Dimensions Of Human-Agent Interaction, Güliz Tokadli, Kaitlyn M. Ouverson, Chase Meusel, Austin Garcia, Stephen B. Gilbert, Michael C. Dorneich Sep 2018

An Analysis Of Video Games Using The Dimensions Of Human-Agent Interaction, Güliz Tokadli, Kaitlyn M. Ouverson, Chase Meusel, Austin Garcia, Stephen B. Gilbert, Michael C. Dorneich

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Designers of human-agent interaction techniques may benefit from an analysis of existing video games that include aspects of human-agent teaming. Many popular multi-player video games have been designed to integrate multiple human and computer agents in pursuit of a common objective and can serve as a testbed to explore novel interaction methods in human-agent teams. A guiding framework of human-agent interaction was created to bridge best practices between video game and real-world domains. The framework was used to analyze games on five main dimensions: 1) Levels of Automation, 2) Levels of Interaction, 3) Control Mode, 4) Teaming, and 5) Interaction ...


The Impact Of Scientific Management Principles On Food Hub, Richard T. Stone, Colten Fales, Dean Jose, Thomas M. Schnieders, Caroline Krejci, Zhonglun Wang, Drew Schweiger, Christopher Hernandez Sep 2018

The Impact Of Scientific Management Principles On Food Hub, Richard T. Stone, Colten Fales, Dean Jose, Thomas M. Schnieders, Caroline Krejci, Zhonglun Wang, Drew Schweiger, Christopher Hernandez

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Food hubs have seen substantial growth in the past few decades but the overall operational efficiency and effectiveness is a concern for the managers of these facilities. The experiment designed consisted of 60 participants divided into four treatment groups that simulated tasks completed at food hubs. The experiment designed was a 2x2 factorial design and each treatment group had five teams with three members. The treatment groups had all combinations of the two independent variables ‘training’ and ‘process improvement’ and the impact these factors made on time to pack (TP), time to stack (TS), number of errors while stacking (ES ...


Vastus And Patellar Protection With Range Of Motion Pad – Advanced Personal Protective Equipment For The Lower Body, Richard T. Stone, Brandon Moeller, Thomas M. Schnieders, Ahmad Mumani Sep 2018

Vastus And Patellar Protection With Range Of Motion Pad – Advanced Personal Protective Equipment For The Lower Body, Richard T. Stone, Brandon Moeller, Thomas M. Schnieders, Ahmad Mumani

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The standard knee pad is considered the most ineffective personal protective equipment in the American football player’s uniform. This study quantitatively and qualitatively assesses personal protective equipment for the lower body for U.S. football players against the VAPPR Pad (Vastus And Patellar Protection with Range of motion), the next iteration of lower body protection. The study consisted of player surveys, material drop testing, and Performance Drill testing including broad-jump, L-drill, pro-agility, and gait analysis with 138 participants in the initial survey and 25 men in the physical testing. Results of the Performance Drill Testing proved that unpadded players ...


Ergonomic Analysis Of Modern Day Kitchen Knives, Richard T. Stone, Olivia Janusz, Thomas M. Schnieders Sep 2018

Ergonomic Analysis Of Modern Day Kitchen Knives, Richard T. Stone, Olivia Janusz, Thomas M. Schnieders

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The focus of this study was on how different knife characteristics affect the consumer’s ability to slice vegetables. The aim of this study was to investigate if there is a difference in cutting between a chef knife and a santoku knife, a ceramic knife and a stainless-steel knife, and a sharp and dull knife in terms of muscle activation, body part discomfort, time, and slice performance. The results show for the consumer that knife characteristics do not affect the user’s performance.


Ranking Importance Of Exoskeleton Design Aspects, Thomas M. Schnieders, Richard T. Stone Sep 2018

Ranking Importance Of Exoskeleton Design Aspects, Thomas M. Schnieders, Richard T. Stone

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The objective of this research project was to determine what a conglomerate of professionals consider as the most important metrics to consider when designing an exoskeleton for training. Over 400 researchers, engineers, and scientists were polled in a ranked order survey covering more than 50 different aspects in engineering design. These aspects were identified from a cogent literature review for consideration. While there are a slew of papers covering the results of exoskeleton designs as posture support mechanisms, rehabilitation mechanisms, tools to assist or replace body functions, and human performance augmentation, few cover what aspects were considered in the engineering ...