Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Order picking (5)
- Warehouse (4)
- Warehouses (4)
- Batching (3)
- Machine learning (3)
-
- Warehousing (3)
- Facility layout design (2)
- Genetic algorithm (2)
- Logistics (2)
- Material handling (2)
- Material handling systems (2)
- Performance (2)
- Physical Internet (2)
- Warehouse design (2)
- 3PL (1)
- AI technology (1)
- Abstract Unit-Load (1)
- Academics (1)
- Adaptability (1)
- Adaptable Material Handling Systems (1)
- Amazon robotics challenge (1)
- Analytical modelling (1)
- Analytics (1)
- Android (1)
- Application programming interface (1)
- Architecture (1)
- Architecture Design (1)
- Artificial Intelligence (1)
- Association rule (1)
- Automated Guided Vehicle System; Dwell Point Location; Mixed Integer Linear Programming Model; Genetic Algorithm. (1)
- Publication Year
- Publication
- Publication Type
Articles 1 - 30 of 216
Full-Text Articles in Business
A Study On The Incentives And Barriers For The Adoption Of Electric Vehicles In South Alabama, Marianne Loes, Daniela Wolter Ferreira Touma, Jennifer C. Zoghby
A Study On The Incentives And Barriers For The Adoption Of Electric Vehicles In South Alabama, Marianne Loes, Daniela Wolter Ferreira Touma, Jennifer C. Zoghby
Association of Marketing Theory and Practice Proceedings 2024
ABSTRACT
Through a series of public policy incentives and consumer demand, more electric vehicles are being sold nationwide than ever before. Although electric vehicles (EVs) are being adopted nationwide by many consumers in recent years, car-buyers across South Alabama have not followed the trend. This research considers different stakeholders in the complex consumer buying process of car purchases, and it uses the extant technology adoption models to assess the public policy incentives, as well as statewide roadblocks, to EV adoption.
Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun
Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun
Electronic Theses and Dissertations
Data science plays a crucial role in enabling organizations to optimize data-driven opportunities within financial risk management. It involves identifying, assessing, and mitigating risks, ultimately safeguarding investments, reducing uncertainty, ensuring regulatory compliance, enhancing decision-making, and fostering long-term sustainability. This thesis explores three facets of Data Science projects: enhancing customer understanding, fraud prevention, and predictive analysis, with the goal of improving existing tools and enabling more informed decision-making. The first project examined leveraged big data technologies, such as Hadoop and Spark, to enhance financial risk management by accurately predicting loan defaulters and their repayment likelihood. In the second project, we investigated …
Cloud-Based Machine Learning And Sentiment Analysis, Emmanuel C. Opara
Cloud-Based Machine Learning And Sentiment Analysis, Emmanuel C. Opara
Electronic Theses and Dissertations
The role of a Data Scientist is becoming increasingly ubiquitous as companies and institutions see the need to gain additional insights and information from data to make better decisions to improve the quality-of-service delivery to customers. This thesis document contains three aspects of data science projects aimed at improving tools and techniques used in analyzing and evaluating data. The first research study involved the use of a standard cybersecurity dataset and cloud-based auto-machine learning algorithms were applied to detect vulnerabilities in the network traffic data. The performance of the algorithms was measured and compared using standard evaluation metrics. The second …
Deepfakes Generated By Generative Adversarial Networks, Olympia A. Paul
Deepfakes Generated By Generative Adversarial Networks, Olympia A. Paul
Honors College Theses
Deep learning is a type of Artificial Intelligence (AI) that mimics the workings of the human brain in processing data such as speech recognition, visual object recognition, object detection, language translation, and making decisions. A Generative adversarial network (GAN) is a special type of deep learning, designed by Goodfellow et al. (2014), which is what we call convolution neural networks (CNN). How a GAN works is that when given a training set, they can generate new data with the same information as the training set, and this is often what we refer to as deep fakes. CNN takes an input …
Urban Parcel Logistics Hub And Network Design: The Impact Of Modularity And Hyperconnectivity, Benoit Montreuil, Shannon Buckley, Louis Faugere, Reem Khir, Shahab Derhami
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
Shuttle-Based Storage And Retrieval Systems With Robotic Order-Picking Shuttle Carrier, Tone Lerher
Shuttle-Based Storage And Retrieval Systems With Robotic Order-Picking Shuttle Carrier, Tone Lerher
International Material Handling Research Colloquium
Poster 12
Minimizing The Variance Of Fulfillment Cycle Time In A Central Fill Pharmacy: Why And How, Mohamed El Tonbari, Leon Mcginnis
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
On The Unique Features And Benefits Of On-Demand Distribution Models, Jennifer Pazour, Kaan Unnu
On The Unique Features And Benefits Of On-Demand Distribution Models, Jennifer Pazour, Kaan Unnu
International Material Handling Research Colloquium
Poster 6
Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis
Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis
International Material Handling Research Colloquium
Poster 30
Dynamic Batching For Order Picking In Warehouses, Jelmer Pier Van Der Gaast, Bolor Jargalsaikhan, Kees Jan Roodbergen
Dynamic Batching For Order Picking In Warehouses, Jelmer Pier Van Der Gaast, Bolor Jargalsaikhan, Kees Jan Roodbergen
International Material Handling Research Colloquium
Poster 26
Digital Design Of Intralogistics Systems: Flexible And Agile Solutions To Short-Cyclic Fluctuations, Christoph Pott, Anike Murrenhoff, Moritz Wernecke, Philipp-Akira Burger
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
Integrated Intermodal Network Design With Nonlinear Inter-Hub Movement Costs, Mohammad Ghane-Ezabadi, Hector A. Vergara
Integrated Intermodal Network Design With Nonlinear Inter-Hub Movement Costs, Mohammad Ghane-Ezabadi, Hector A. Vergara
International Material Handling Research Colloquium
Poster 11
Contribution Of Physical Internet Containers To Mitigate The Risk Of Cargo Theft, Yanyan Yang, Eric Ballot, Miguel Gaston Cedillo-Campos
Contribution Of Physical Internet Containers To Mitigate The Risk Of Cargo Theft, Yanyan Yang, Eric Ballot, Miguel Gaston Cedillo-Campos
International Material Handling Research Colloquium
Poster 24
Batching And Sequencing In Bucket Brigade Systems With Heterogeneous Items, Yossi Bukchin, Eran Hanany, Eugene Khmelnitsky
Batching And Sequencing In Bucket Brigade Systems With Heterogeneous Items, Yossi Bukchin, Eran Hanany, Eugene Khmelnitsky
International Material Handling Research Colloquium
Poster 9
A Framework For Modeling Material Handling With Decentralized Control, Kevin Gue, Kai Furmans
A Framework For Modeling Material Handling With Decentralized Control, Kevin Gue, Kai Furmans
International Material Handling Research Colloquium
Poster 23
A Performance Calculator For Shuttle-Based Storage And Retrieval System Design, Banu Yetkin Ekren, Anil Akpumar, Tone Lerher
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 Measurement Tool For Circular Economy Practices: A Case Study In Pallet Supply Chains, Maria Grazia Gnoni, Andres L. Carrano, Fabiana Tornese, Jennifer Pazour, Brian K. Thorn
A Measurement Tool For Circular Economy Practices: A Case Study In Pallet Supply Chains, Maria Grazia Gnoni, Andres L. Carrano, Fabiana Tornese, Jennifer Pazour, Brian K. Thorn
International Material Handling Research Colloquium
Poster 7
An Integrated Network Modeling Framework For Analysis Of Multi-Line Order Pick Systems, Debjit Roy, Vishal Bansal
An Integrated Network Modeling Framework For Analysis Of Multi-Line Order Pick Systems, Debjit Roy, Vishal Bansal
International Material Handling Research Colloquium
Poster 16
Panel Session #2: Ecom Fulfillment And The Physical Internet: Some Motivation And A Persistent Challenge, Benoit Montreuil, Russell D. Meller, Eric Ballot
Panel Session #2: Ecom Fulfillment And The Physical Internet: Some Motivation And A Persistent Challenge, Benoit Montreuil, Russell D. Meller, Eric Ballot
International Material Handling Research Colloquium
Panel Session 2
Panelists: Benoit Montreuil, Russell Meller, and Eric Ballot
Moderator: Kimberly Ellis
Scalable Heuristic For Locating Distribution Centers On Real Road Networks, Saeed Ghanbartehrani, J. David Porter
Scalable Heuristic For Locating Distribution Centers On Real Road Networks, Saeed Ghanbartehrani, J. David Porter
International Material Handling Research Colloquium
Poster 13
A Space-Syntax Analysis Of The Relationship Between Function And Form In Facility Layout, Alejandro Teran-Somohano, Alice E. Smith
A Space-Syntax Analysis Of The Relationship Between Function And Form In Facility Layout, Alejandro Teran-Somohano, Alice E. Smith
International Material Handling Research Colloquium
Poster 1
A Design Methodology To Optimize Supply Chain Network Performance, Dheeraporn Nippaya, J. David Porter
A Design Methodology To Optimize Supply Chain Network Performance, Dheeraporn Nippaya, J. David Porter
International Material Handling Research Colloquium
Poster 5
Service Flow Networks For Functional Design Of Distribution Centers, Michael Schmidt, Detlef A. Spee, Michael Ten Hompel
Service Flow Networks For Functional Design Of Distribution Centers, Michael Schmidt, Detlef A. Spee, Michael Ten Hompel
International Material Handling Research Colloquium
Poster 15
Optimization Of A Fast-Pick Area In Cosmetics Distribution Center, Mario C. Velez-Gallego, Alice E. Smith
Optimization Of A Fast-Pick Area In Cosmetics Distribution Center, Mario C. Velez-Gallego, Alice E. Smith
International Material Handling Research Colloquium
Poster 18
Synthetic Order Generator For Picking Data, Mohammadnaser Ansari, Jeffrey S. Smith, Behnam Rasoolian
Synthetic Order Generator For Picking Data, Mohammadnaser Ansari, Jeffrey S. Smith, Behnam Rasoolian
International Material Handling Research Colloquium
Poster 4
Progress In Autonomous Picking As Demonstrated By The Amazon Robotics Challenge, Dominik Colling, Jonathan Dziedzitz, Kai Furmans, Patric Hopfgarten, Kai Markert
Progress In Autonomous Picking As Demonstrated By The Amazon Robotics Challenge, Dominik Colling, Jonathan Dziedzitz, Kai Furmans, Patric Hopfgarten, Kai Markert
International Material Handling Research Colloquium
Poster 17
Pull-Driven Order Fulfillment In Distribution Centers, Dima Nazzal, Shankar Shanmugasundaram, Sung Kim, Russell D. Meller
Pull-Driven Order Fulfillment In Distribution Centers, Dima Nazzal, Shankar Shanmugasundaram, Sung Kim, Russell D. Meller
International Material Handling Research Colloquium
Poster 22
Keynote: The Small World Of Material Handling Rearch, Parag J. Siddique, Kevin Gue, Md Salahuddin Ayuby
Keynote: The Small World Of Material Handling Rearch, Parag J. Siddique, Kevin Gue, Md Salahuddin Ayuby
International Material Handling Research Colloquium
Keynote Address
Panel Session #1: Production Logistics In The Industrie 4.0 Era, Kai Furmans, Fabio Sgarbossa, Tone Lerher
Panel Session #1: Production Logistics In The Industrie 4.0 Era, Kai Furmans, Fabio Sgarbossa, Tone Lerher
International Material Handling Research Colloquium
Panel Session 1
Panelists: Kai Furmans, Fabio Sgarbosse, Tone Lehrer
Moderator: David Porter
A Practical Collaborative Material Handling Strategy For Cross-Docks, Hector J. Carlo, Stephanie Santiago-Montano
A Practical Collaborative Material Handling Strategy For Cross-Docks, Hector J. Carlo, Stephanie Santiago-Montano
International Material Handling Research Colloquium
Poster 8