Container terminal logistics scheduling and decision-making within the conceptual framework of computational thinking

Li, Bin

doi:10.1109/cdc.2015.7402222

Cited by 13 publications

(12 citation statements)

References 11 publications

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“…The definition of computational logistics is made demonstrably by the transferring, integration and fusion the four of computational thinking, theory of computation, computational lens and great principles of computing, which are abbreviated to 4CTTLP. For one thing, the computational thinking involves solving problems, designing systems, and understanding human behavior, by drawing on the concepts fundamental to computer science, which is vigorously advocated by Jeannette M. Wing [14], and establishes a fundamental methodology for the computational logistics whether for CTLS or the other complex logistics systems, there's been a lot of ink spilled on the computational thinking for CTLS in our previous study [3,11]. For another, the theory of computation provides the rational tools for the computer engineering in practice, which mainly consist of automata, computability and computational complexity [15].…”

Section: Computational Lens and Great Principles Of Computingmentioning

confidence: 99%

“…The container terminal is the core full duplex container transportation service hub nodes in the hierarchical and multistage logistics network all over the world. It implements and executes the positioning, mapping, transferring, routing, accessing and switching (PMT-RAS) of container logistics unit with the perspective of computational logistics that is a fundamentally different approach compared to any previous study [1,2,3]. The computational logistics is a programming, planning, scheduling and decision-making support methodology for complex logistics systems proposed by Bin Li on the 54th IEEE Conference on Decision and Control in 2015 preliminarily.…”

Section: Introductionmentioning

confidence: 99%

“…Over the past decade, we have done a lot of system modeling, algorithms design, mechanism transferring and case studies on CTLS by computational thinking [11], and some initial progress has been acquired based on the large amounts of computational experiments results, such as the elementary definition of computational logistics, the container terminal collection and distribution virtual machine architecture, and the hierarchical, parallel, heterogeneous and reconfigurable computation model of container terminal handling system [3,12,13]. Nevertheless, the methodological framework and fundamental principles of computational logistics for container terminal logistics hubs is still not described and explained systematically, especially for logistics generalized computation for container terminals (LGC-CT) pattern analysis and performance evaluation based on the actual production data at container terminals.…”

Section: Introductionmentioning

confidence: 99%

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Computational Logistics for Container Terminal Logistics Hubs Based on Computational Lens and Computing Principles

Song

2020

IEEE Access

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The volatile global shipping market puts forward the higher requirements to the container terminal logistics systems (CTLS) than ever, especially in terms of programming, planning, scheduling and decision. The computational logistics provide a systematic methodology to overcome the issues that differs from traditional approaches distinctly. This paper discusses the theoretical framework, important components and core concept of computational logistics, and then presents the container terminal logistics generalized computation design, implement, execution, analysis and evaluation hierarchy (LGC-DIE-AEH) by the integration of the computational lens and computing principles to explore the computational logistics in the field of CTLS. Subsequently, the execution performance of a quay crane farm at a regional container hub terminal in China is analyzed and evaluated by LGC-DIE-AEH. The crane performance evaluation core indicator framework (CPE-CIF) is proposed by the fusion of the design philosophy and underlying principles of computing architecture, operating system, and virtual machine by computational lens. The CPE-CIF help us to find out the advantages, disadvantages and improvement directions of quay crane farm operation. That illustrates and verifies the feasibility and credibility of LGC-DIE-AEH from the perspective of the practice of container terminal decision-making support at the tactical level.

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Section: Computational Lens and Great Principles Of Computingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Computational Logistics for Container Terminal Logistics Hubs Based on Computational Lens and Computing Principles

Song

2020

IEEE Access

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“…In order to obtain a general theoretical methodology and an engineering practice solution that both are appropriate for the PSAME in CTLS, we put forward the conception of computational logistics [13]. The computational logistics is the synthesis application of computational thinking, great principles of computing, and computational lens in the field and industry of logistics service, which was referred as 3CTGPL in our previous work [17].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Furthermore, the PSAME in CTLS have been absent a systematic methodology and engineering solution to be applicable to diverse terminal layouts, handling technologies, device configurations, task loads, and the conditions of collection and distribution. Aiming at this case, the computational logistics were proposed preliminarily by us at the 54th IEEE Conference on Decision and Control (CDC 2015) to provide a new methodology and solution to PSAME of CTLS [13]. Some original and initiatory works have been launched and developed over the past few years [14,15].…”

Section: Introductionmentioning

confidence: 99%

Container Terminal Logistics Generalized Computing Architecture and Green Initiative Computational Pattern Performance Evaluation

Song

2019

Information

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Container terminals are the typical representatives of complex supply chain logistics hubs with multiple compound attributes and multiple coupling constraints, and their operations are provided with the strong characteristics of dynamicity, nonlinearity, coupling, and complexity (DNCC). From the perspective of computational logistics, we propose the container terminal logistics generalized computing architecture (CTL-GCA) by the migration, integration, and fusion of the abstract hierarchy, design philosophy, execution mechanism, and automatic principles of computer organization, computing architecture, and operating system. The CTL-GCA is supposed to provide the problem-oriented exploration and exploitation elementary frameworks for the abstraction, automation, and analysis of green production at container terminals. The CTL-GCA is intended to construct, evaluate, and improve the solution to planning, scheduling, and decision at container terminals, which all are nondeterministic polynomial hard problems. Subsequently, the logistics generalized computational pattern recognition and performance evaluation of a practical container terminal service case study is launched by the qualitative and quantitative approach from the sustainable perspective of green production. The case study demonstrates the application, utilization, exploitation, and exploration of CTL-GCA preliminarily, and finds the unsustainable patterns of production at the container terminal. From the above, we can draw the following conclusions. For one thing, the CTL-GCA makes a definition of the abstract and automatic running architecture of logistics generalized computation for container terminals (LGC-CT), which provides an original framework for the design and implementation of control and decision mechanism and algorithm. For another, the CTL-GCA can help us to investigate the roots of DNCC thoroughly, and then the CTL-GCA makes for conducting the efficient and sustainable running pattern recognition of LGC-CT. It is supposed to provide a favorable guidance and supplement to define, design, and implement the agile, efficient, sustainable, and robust task scheduling and resource allocation for container terminals by computational logistics whether in the strategy level or the tactical one.

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A Partition Berth Allocation Scheduler Based on Resource Utilization and Load Balancing

Zhang

Liang

et al. 2016

Internet and Distributed Computing Systems

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Container terminal logistics scheduling and decision-making within the conceptual framework of computational thinking

Cited by 13 publications

References 11 publications

Computational Logistics for Container Terminal Logistics Hubs Based on Computational Lens and Computing Principles

Computational Logistics for Container Terminal Logistics Hubs Based on Computational Lens and Computing Principles

Container Terminal Logistics Generalized Computing Architecture and Green Initiative Computational Pattern Performance Evaluation

A Partition Berth Allocation Scheduler Based on Resource Utilization and Load Balancing

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