Quantum Computing and Machine Learning for Efficiency of Maritime Container Port Operations-Reference-Cited by-同舟云学术

Quantum Computing and Machine Learning for Efficiency of Maritime Container Port Operations

Published:2022-04-28 Issue: Volume: Page:
ISSN:
Container-title:2022 Systems and Information Engineering Design Symposium (SIEDS)
language:
Short-container-title:

Author:

Hamdy Ibrahim H.¹,St. John Maxwell J.¹,Jennings Sidney W.¹,Magalhaes Tiago R.¹,Roberts James H.¹,Polmateer Thomas L.¹,Manasco Mark C.²,Williams Joi Y.³,Hendrickson Daniel C.⁴,Eddy Timothy L.¹,Loose Davis C.¹,Chowdhury Mashrur⁵,Lambert James H.¹

Affiliation:

1. University of Virginia,Department of Engineering Systems and the Environment,Charlottesville,VA,USA

2. Commonwealth Center for Advanced Logistics Systems,Petersburg,VA,USA

3. Virginia State University,Petersburg,VA,USA

4. Port of Virginia,Norfolk,VA,USA

5. Clemson University,Clemson,SC,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9799287/9799289/09799399.pdf?arnumber=9799399

Reference24 articles.

1. Governance mode for port congestion mitigation: A transaction cost perspective

2. Using discrete-event simulation to compare congestion management initiatives at a port terminal

3. Port congestion spreads across more U.S. import gateways;berger;The Wall Street Journal,2022

4. When will the supply-chain strains finally ease?;o'neal;The Wall Street Journal,2021

5. The great supply chain disruption;goodman;The New York Times,2021

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