Container Terminal Oriented Logistics Generalized Computational Complexity

被引:9
|
作者
Li, Bin [1 ]
Sun, Bing [2 ]
Yao, Wei [1 ]
He, Yuqing [1 ]
Song, Guanggang [2 ]
机构
[1] Fujian Univ Technol, Sch Transportat, Fuzhou 350118, Fujian, Peoples R China
[2] Shandong Prov Commun Planning & Design Inst, Waterway Transportat Planning & Design Branch, Jinan 250031, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Logistics; scheduling; freight containers; computational modeling; computational complexity; decision making; numerical simulation; computational logistics; logistics generalized computation for container terminal; CRANE SCHEDULING PROBLEM; BERTH ALLOCATION PROBLEM; STORAGE YARD; TRANSSHIPMENT TERMINALS; ASSIGNMENT; OPTIMIZATION; PERFORMANCE; OPERATIONS; TEMPLATE; STRATEGY;
D O I
10.1109/ACCESS.2019.2928684
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The planning and scheduling of container terminal logistics systems (CTLS) are the multiobjective and multiple strong constraints combinatorial optimization challenges under the uncertain environments, and those are provided with high goal orientation, dynamics, context-sensitivity, coupling, timeliness, and complexity. The increasingly sophisticated decision-making for CTLS is one of the most pressing problems for the programming and optimization method available. This paper discusses CTLS in terms of logistics generalized computation complexity based on computational thinking, great principles of computing, and computational lens, which three are abbreviated with 3CTGPL, and makes a definition of container terminal oriented logistics generalized computational complexity (CTO-LGCC) and container terminal logistics generalized computation comprehensive performance perspective (CTL-GCCPP) from the dimensions of time, space, communication, processor, and memory access. Both can analyze, generalize, migrate, translate, localize, modificate, and evaluate the above-complicated problems and lay solid foundations and establish a feedback improvement framework for the computational model and scheduling algorithms of the CTLS, which is an essential complement to the modeling and optimization methodology and solutions to CTLS with computational logistics. Finally, aimed at the logistics service cases for a large-scale container terminal, the simulation is designed and implemented for different scheduling algorithms, and the qualitative and quantitative comprehensive analysis is executed for the concomitant CTO-LGCC that demonstrates and verifies the feasibility and credibility of the CTO-LGCC and CTL-GCCPP from the viewpoint of the practice of container terminal decision-making support on the tactical level.
引用
收藏
页码:94737 / 94756
页数:20
相关论文
共 50 条
  • [21] Generating scenarios for simulation and optimization of container terminal logistics
    Sönke Hartmann
    OR Spectrum, 2004, 26 : 171 - 192
  • [22] Robust Design about Container Terminal Logistics System
    Li Li
    Wang Xiaodong
    Zhang Mengjie
    2009 IITA INTERNATIONAL CONFERENCE ON SERVICES SCIENCE, MANAGEMENT AND ENGINEERING, PROCEEDINGS, 2009, : 321 - 324
  • [23] Generating scenarios for simulation and optimization of container terminal logistics
    Hartmann, S
    OR SPECTRUM, 2004, 26 (02) : 171 - 192
  • [24] Management Decision on the Container Terminal Logistics Based on Witness Simulation
    Ha Jin-bing
    Wang Jia
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 7005 - 7008
  • [25] Classifying games in container terminal logistics field: A systematic review
    Nasution, Ninan Kara Gicha
    Jin, Xuefeng
    Singgih, Ivan Kristianto
    ENTERTAINMENT COMPUTING, 2022, 40
  • [26] Research of Railway Container Terminal Logistics System Modeling and Simulation
    Zeng, Ming
    Cheng, Wen-Ming
    Guo, Peng
    2016 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND CONTROL AUTOMATION (ICMECA 2016), 2016, : 287 - 293
  • [27] Object oriented model for container terminal distributed simulation
    Bielli, Maurizio
    Boulmakoul, Azedine
    Rida, Mohamed
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 175 (03) : 1731 - 1751
  • [28] AGILE SERVICE ORIENTED SHIPPING COMPANIES IN THE CONTAINER TERMINAL
    Liu, Wei
    Xu, Huan
    Zhao, Xin
    TRANSPORT, 2009, 24 (02) : 143 - 153
  • [29] SIMULATION AT A MARITIME CONTAINER TERMINAL: MODELS AND COMPUTATIONAL FRAMEWORKS
    Legato, Pasquale
    Gulli, Daniel
    Trunfio, Roberto
    22ND EUROPEAN CONFERENCE ON MODELLING AND SIMULATION, PROCEEDINGS, 2008, : 261 - +
  • [30] Computational Complexity of Generalized Golf Solitaire
    Iwamoto, Chuzo
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2015, E98D (03): : 541 - 544