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

Industrial Engineering Commons™

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

3,574 Full-Text Articles 4,863 Authors 4,220,326 Downloads 109 Institutions

All Articles in Industrial Engineering

Faceted Search

3,574 full-text articles. Page 64 of 135.

Efvs Effects On Pilot Performance, Michael Campbell, Nsikak Udo-Imeh, Steven J. Landry 2018 Purdue University

Efvs Effects On Pilot Performance, Michael Campbell, Nsikak Udo-Imeh, Steven J. Landry

The Summer Undergraduate Research Fellowship (SURF) Symposium

Flight tests have been conducted at Purdue University using a computer-based flying simulator in an attempt to determine and measure the effects of Enhanced Flight Vision Systems (EFVS) on the performance of pilots during landing. Knowledge of these effects could help guide future design and implementation of EFVS in modern commercial aircraft, and further increase pilots’ ability to control the aircraft in low-visibility conditions. The problem that has faced researchers in the past has revolved around the difficulty in interpreting the data which is generated by these tests. The difficulty in making a generalized conclusion based on the large amount …


Economic Model Predictive Control Design Via Nonlinear Model Identification, Laura Giuliani, Helen Durand 2018 University of Study of L’Aquila

Economic Model Predictive Control Design Via Nonlinear Model Identification, Laura Giuliani, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Increasing pushes toward next-generation/smart manufacturing motivate the development of economic model predictive control (EMPC) designs which can be practically deployed. For EMPC, the constraints, objective function, and accuracy of the state predictions would benefit from process models that describe the process physics. However, obtaining first- principles models of chemical process systems can be time-consuming or challenging such that it is preferable to develop physics-based process models automatically from process operating data. In this work, we take initial steps in this direction by suggesting that because experiments that are used to characterize first-principles models often target specific types of data, an …


Feature-Based Discretization Of A Turbine Disk For Probabilistic Risk Assessment, Michael Thomas, Jace Carter, Lloyd Matson, Tarun Goswami 2018 Wright State University - Main Campus

Feature-Based Discretization Of A Turbine Disk For Probabilistic Risk Assessment, Michael Thomas, Jace Carter, Lloyd Matson, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

There is an economic need to extend the useful life of jet engine rotors. Retirement-for-Cause (RFC) is a lifing method that allows for the continued operation of components passed traditional life limits. Under RFC, an extension of damage tolerance, components are deemed safe for a further service interval using non-destructive inspections (NDI) for crack like defe cts. As components are kept in-service beyond their designed service life it is essential that the probability of failure (POF), or risk, of continued service is known. Under current FAA rotor design certification practices the component POF is analyzed using a probabilistic framework focused …


Modeling The Innovation Ecosystem And Development Of A Dynamic Innovation Index, Henriette Schoen 2018 University of Central Florida

Modeling The Innovation Ecosystem And Development Of A Dynamic Innovation Index, Henriette Schoen

Electronic Theses and Dissertations

The topic of innovation currently generates a tremendous amount of interest around the world. Innovation is considered an essential part of the solution to creating more jobs and improving the socio-economic conditions of many countries around the globe. Innovation comes about through the existence of many interrelated solutions to socio-economic problems in an extensively interconnected network, which create value for each other. Such a complex creativity and innovation value-creating network is here called an Innovation Ecosystem (IE). The main objective of this dissertation research is to improve the current understanding of the IE by developing a simulation model that uses …


Methods For Online Feature Selection For Classification Problems, Alaleh Razmjoo 2018 University of Central Florida

Methods For Online Feature Selection For Classification Problems, Alaleh Razmjoo

Electronic Theses and Dissertations

Online learning is a growing branch of machine learning which allows all traditional data mining techniques to be applied on an online stream of data in real-time. In this dissertation, we present three efficient algorithms for feature ranking in online classification problems. Each of the methods are tailored to work well with different types of classification tasks and have different advantages. The reason for this variety of algorithms is that like other machine learning solutions, there is usually no algorithm which works well for all types of tasks. The first method, is an online sensitivity based feature ranking (SFR) which …


Binder Jetting Additive Manufacturing Process Fundamentals And The Resultant Influences On Part Quality., Hadi Miyanaji 2018 University of Louisville

Binder Jetting Additive Manufacturing Process Fundamentals And The Resultant Influences On Part Quality., Hadi Miyanaji

Electronic Theses and Dissertations

Binder jetting additive manufacturing (BJ-AM) technology is a process by which a part is fabricated layer by layer through depositing liquid binder in the designated regions of each layer until the feature is complete. Due to the use of binder in geometry generation, this process possesses various advantages over the other additive manufacturing technologies including the ability to create colored objects via colored binders, lower cost, lack of heat-induced defects, and its potential capability to print a variety of materials such as metals, sands and ceramics. Although the application of the binder jetting process has been recently reported by different …


Configuring Traditional Multi-Dock, Unit-Load Warehouses, Mahmut Tutam 2018 University of Arkansas, Fayetteville

Configuring Traditional Multi-Dock, Unit-Load Warehouses, Mahmut Tutam

Graduate Theses and Dissertations

The development of expected-distance formulas for multi-dock-door, unit-load warehouse configurations is the focus of the dissertation. From formulations derived, the width-to-depth ratios minimizing expected distances are obtained for rectangle-shaped, unit-load warehouse configurations. Partitioning the storage region in the warehouse into three classes, the performance of a multi-dock-door, unit-load warehouse is studied when storage regions can be either rectangle-shaped or contour-line-shaped. Our first contribution is the development of formulas for expected distance traveled in storing and retrieving unit loads in a rectangle-shaped warehouse having multiple dock doors along one warehouse wall and storage racks aligned perpendicular to that wall. Two formulations …


Modeling And Solution Approaches For Non-Traditional Network Flow Problems With Complicating Constraints, Negin Enayaty Ahangar 2018 University of Arkansas, Fayetteville

Modeling And Solution Approaches For Non-Traditional Network Flow Problems With Complicating Constraints, Negin Enayaty Ahangar

Graduate Theses and Dissertations

In this dissertation, we model three network-based optimization problems. Chapter 2 addresses the question of what the operation plan should be for interdependent infrastructure systems in resource-constrained environments so that they collectively operate at the highest level. We develop a network-based operation model of these systems that accounts for interdependencies among them. To solve this large-scale model, a solution approach is proposed that relatively quickly generates high-quality solutions to the problem.

Chapter 3 presents a routing model for a single train within a railyard with the objective of minimizing the total length traveled by train. The difference between this problem …


Barge Prioritization, Assignment, And Scheduling During Inland Waterway Disruption Responses, Liliana Delgado-Hidalgo 2018 University of Arkansas, Fayetteville

Barge Prioritization, Assignment, And Scheduling During Inland Waterway Disruption Responses, Liliana Delgado-Hidalgo

Graduate Theses and Dissertations

Inland waterways face natural and man-made disruptions that may affect navigation and infrastructure operations leading to barge traffic disruptions and economic losses. This dissertation investigates inland waterway disruption responses to intelligently redirect disrupted barges to inland terminals and prioritize offloading while minimizing total cargo value loss. This problem is known in the literature as the cargo prioritization and terminal allocation problem (CPTAP). A previous study formulated the CPTAP as a non-linear integer programming (NLIP) model solved with a genetic algorithm (GA) approach. This dissertation contributes three new and improved approaches to solve the CPTAP.

The first approach is a decomposition …


Digital Design Of Intralogistics Systems: Flexible And Agile Solutions To Short-Cyclic Fluctuations, Christoph Pott, Anike Murrenhoff, Moritz Wernecke, Philipp-Akira Burger 2018 Fraunhofer Institute for Material Flow and Logistics

Digital Design Of Intralogistics Systems: Flexible And Agile Solutions To Short-Cyclic Fluctuations, Christoph Pott, Anike Murrenhoff, Moritz Wernecke, Philipp-Akira Burger

International Material Handling Research Colloquium

Poster 20


Urban Parcel Logistics Hub And Network Design: The Impact Of Modularity And Hyperconnectivity, Benoit Montreuil, Shannon Buckley, Louis Faugere, Reem Khir, Shahab Derhami 2018 Georgia Institute of Technology

Urban Parcel Logistics Hub And Network Design: The Impact Of Modularity And Hyperconnectivity, Benoit Montreuil, Shannon Buckley, Louis Faugere, Reem Khir, Shahab Derhami

International Material Handling Research Colloquium

Poster 27


Integrated Intermodal Network Design With Nonlinear Inter-Hub Movement Costs, Mohammad Ghane-Ezabadi, Hector A. Vergara 2018 Dynamic Ideas

Integrated Intermodal Network Design With Nonlinear Inter-Hub Movement Costs, Mohammad Ghane-Ezabadi, Hector A. Vergara

International Material Handling Research Colloquium

Poster 11


On The Unique Features And Benefits Of On-Demand Distribution Models, Jennifer Pazour, Kaan Unnu 2018 Rensselaer Polytechnic Institute

On The Unique Features And Benefits Of On-Demand Distribution Models, Jennifer Pazour, Kaan Unnu

International Material Handling Research Colloquium

Poster 6


Minimizing The Variance Of Fulfillment Cycle Time In A Central Fill Pharmacy: Why And How, Mohamed El Tonbari, Leon McGinnis 2018 Georgia Institute of Technology

Minimizing The Variance Of Fulfillment Cycle Time In A Central Fill Pharmacy: Why And How, Mohamed El Tonbari, Leon Mcginnis

International Material Handling Research Colloquium

Poster 31


Dynamic Batching For Order Picking In Warehouses, Jelmer Pier van der Gaast, Bolor Jargalsaikhan, Kees Jan Roodbergen 2018 University of Groningen

Dynamic Batching For Order Picking In Warehouses, Jelmer Pier Van Der Gaast, Bolor Jargalsaikhan, Kees Jan Roodbergen

International Material Handling Research Colloquium

Poster 26


Shuttle-Based Storage And Retrieval Systems With Robotic Order-Picking Shuttle Carrier, Tone Lerher 2018 University of Maribor, Slovenia

Shuttle-Based Storage And Retrieval Systems With Robotic Order-Picking Shuttle Carrier, Tone Lerher

International Material Handling Research Colloquium

Poster 12


Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis 2018 Virginia Tech

Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis

International Material Handling Research Colloquium

Poster 30


Data-Based Nonlinear Model Identification In Economic Model Predictive Control, Laura Giuliani, Helen Durand 2018 University of Study of L’Aquila

Data-Based Nonlinear Model Identification In Economic Model Predictive Control, Laura Giuliani, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Many chemical/petrochemical processes in industry are not completely modeled from a first-principles perspective because of the complexity of the underlying physico-chemical phenomena and the cost of obtaining more accurate, physically relevant models. System identification methods have been utilized successfully for developing empirical, though not necessarily physical, models for advanced model-based control designs such as model predictive control (MPC) for decades. However, a fairly recent development in MPC is economic model predictive control (EMPC), which is an MPC formulated with an economics-based objective function that may operate a process in a dynamic (i.e., off steady-state) fashion, in which case the details …


A Performance Calculator For Shuttle-Based Storage And Retrieval System Design, Banu Yetkin Ekren, Anil Akpumar, Tone Lerher 2018 Yasar University

A Performance Calculator For Shuttle-Based Storage And Retrieval System Design, Banu Yetkin Ekren, Anil Akpumar, Tone Lerher

International Material Handling Research Colloquium

Poster 28


A Framework For Modeling Material Handling With Decentralized Control, Kevin Gue, Kai Furmans 2018 University of Louisville

A Framework For Modeling Material Handling With Decentralized Control, Kevin Gue, Kai Furmans

International Material Handling Research Colloquium

Poster 23


Digital Commons powered by bepress