Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1109/SMC.2019.8913852guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
research-article

Parallel Loading and Unloading: Smart Technology towards Intelligent Logistics

Published: 01 October 2019 Publication History

Abstract

The ACP theory plays an important role in modeling and controlling complex, uncertain systems. Parallel loading and unloading is the specific application of parallel theory in the field of parcel handling. This paper proposes the basic framework of the parallel loading and unloading system. Under this framework, the physical loading and unloading process is described by constructing a artificial loading and unloading system. On this basis, the artificial system predicts the best loading and unloading solution through computational experiments. The physical loading and unloading system executes the solution from the artificial system. Finally, the parallel execution builds a bridge between the physical system and the artificial system. The parallel system will be updated and optimized continuously. Parallel loading and unloading is one smart technology toward intelligent logistics, which provides a new methodology for parcel handling technology.

References

[1]
Xinyan Zhang, Yu Zhang, Shaomei Wang, et al. Virtual Reality-based Simulation Modeling Technology for Container Terminal Handling System[J]. Journal of Wuhan University of Technology(Transportation Science & Engineering), 2001, 25(4):470–473.
[2]
Jihong He. Application Status and Prospect of Automatic Container Terminal Handling Technology System[J]. Port and Waterway Engineering 2018(6):199–203.
[3]
Lanfranco Anzani, Onorio Anzani. System for the automatic loading and/or unloading of products>. US Patent 6,357,985, 2002.
[4]
Wang F Y. Parallel system approach and management and control of complex systems.[J]. Control and Decision, 2004, 19(5): 485–489.
[5]
Wang F Y. Artificial Society, Computational Experiments,| Parallel Systems – Discussion on Computational Research of Complex Socioeconomic Systems.[J]. Complex systems and complexity science, 2004, 1(4): 25–35.
[6]
Li Li, Yinlun Lin, Dongpu Cao, etc. Parallel learning — A new theoretical framework for machine learning [J]. Journal of Automatica Sinica, 2017, 43(1):1–8.
[7]
Wang F Y. Parallel control and management for intelligent transportation systems: concepts, architectures, and applications [J]. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(3): 630–638.
[8]
Wang F Y. Toward a paradigm shift in social computing: the ACP approach. IEEE Intelligent Systems, 2007, 22(5):65–67.
[9]
Wang F Y. Computational experimental methods and complex system behavior analysis and decision evaluation.[J]. Journal of System Simulation, 2004, 16(5):893–897.
[10]
Wang F Y. Parallel control: Data driven computational control method [J]. Journal of Automatica Sinica, 2013, 39(4): 293–302.
[11]
Wang F Y. Research on Dynamic Netizen Group Based on Social Computing and Parallel System [J]. Journal of University of Shanghai for Science and Technology, 2011, 33(1): 8–17.
[12]
Wang F Y. Software-defined system and knowledge automation: Parallel sublimation from Newton to Merton [J]. Journal of Automatica Sinica, 2015, 41(1): 293–302.
[13]
Wang F Y. Parallel material: From virtual materials to software-defined smart materials [R]. QAII Technical Report, 2015.
[14]
Wei Duan, Zhidong Cao, Xiaogang Qiu, etc. Semantic Modeling of Artificial Society in Parallel Emergency Management System [J]. System Engineering Theory and Practice, 2012, 32(5):1010–1017.
[15]
Tianxiang Bai, Shuai Wang, Zhen Shen, etc. Parallel Robots and Parallel Unmanned Systems: Frames, Structures, Processes, Platforms and Applications [J]. Journal of Automatica Sinica, 2017, 43(2): 161–175.
[16]
Kunfeng Wang, Chao Gou, Wang F Y. Parallel Vision: ACP-based intelligent visual computing method [J]. Journal of Automatica Sinica, 2016, 42(10): 1490–1500.
[17]
Wang F Y. The basic framework of social signal processing and analysis: From social sensor network to computational dialectical analysis [J]. Chinese Science: Information Science, 2013, 43(12): 1598–1611.
[18]
Wang F Y. The future development of robots: From industrial automation to knowledge automation [J]. Science and Technology Guide, 2015, 33(21): 39–44.
[19]
Yong Yuan, Wang F Y. Development Status and Prospects of Blockchain Technology [J]. Journal of Automatica Sinica, 2016, 42(4):481–494.
[20]
Shuo Liu, Shuai Wang, Huanzhang Fu, etc. Software-defined crime scene analysis process and its knowledge automation solution [J]. Pattern Recognition and Artificial Intelligence, 2016, 29(10):876–883.
[21]
Yuling Hu, Wang F Y, Xiwei Liu. Research on Personnel Evacuation Strategy in High-rise Building Fire Based on ACP Method [J]. Journal of Automatica Sinica, 2014, 40(2):185–196.
[22]
Yi Zhang, Yiping Feng, Gang Rong. Production execution system and technical transformation of intelligent manufacturing [J]. Information and Control, 2017, 464(4): 452–461.
[23]
Wang F Y, Zhang J, Wei Q, Li L. PDP: parallel dynamic programming [J]. IEEE/CAA Journal of Automatica Sinica, 2017, 4(1): 1–5.
[24]
Zhang N, Wang F Y, Zhu F H, Zhao D B, Tang S M. DynaCAS: computational experiments and decision support for ITS [J]. IEEE Intelligent Systems, 2008, 23(6): 19–23.
[25]
Mengzhen Kang, Wang F Y. From Parallel Plants to Smart Plants: Intelligent Control and Management for Plant Growth[J]. IEEE/CAA JOURNAL OF AUTOMATICA SINICA, 2017, 4(2):161–166.
[26]
Echelmeyer, W., A. Kirchheim, and E. Wellbrock, Robotics-Logistics: Challenges for Automation of Logistic Processes, in 2008 IEEE International Conference on Automation and Logistics. 2008: Qingdao. p. 2099–2103.
[27]
Stoyanov, T., et al., No More Heavy Lifting: Robotic Solutions to the Container Unloading Problem. IEEE Robotics & Automation Magazine, 2016. 23(4): p. 94–106.
[28]
Mojtahedzadeh, R., Safe Robotic Manipulation to Extract Objects from Piles: From 3D Perception to Object Selection. 2016, Ebro university.
[29]
K kelhaus, M. and A. Huber DHL Trend Research Robotics in Logistics. 2016.
[30]
TEUN. TEUN takes a load off your hands. 2017; Available from:http://www.teun.com/en
[31]
Robotics, U. Random Box Moving Universal Robotics. 2017; Available from: http://www.universalrobotics.com/random-box-mover
[32]
Wynright, Wynright. 2017; Available from: https://www.wynright.com/

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
October 2019
4424 pages

Publisher

IEEE Press

Publication History

Published: 01 October 2019

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 04 Oct 2024

Other Metrics

Citations

View Options

View options

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media