Modeling and Analysis of Container Terminal Logistics System by Extended Generalized Stochastic Petri Nets

Zhang, F.A. Hailin; Jiang, Sumxin

doi:10.1109/soli.2006.328990

Cited by 5 publications

(6 citation statements)

References 8 publications

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“…They found that the obtained results were desirable. To deal with the BAP and QCSP, Song et al [28] provided a Bi-Level Programming (BLP) to deal with the two problems. At the upper level a GA was used to deal with the BAP and at the lower level a Branch and Bound (B & B) approach was proposed to deal with the QCSP.…”

Section: Studies Focusing On Simultaneous Problemsmentioning

confidence: 99%

“…task_token ("ship 9",0,container (7,50,45)). task_token ("ship 9",0,container (9,28,35)). task_token ("ship 9",0,container (11,50,45)).…”

Section: Appendix Amentioning

confidence: 99%

“…The branch and bound (B & B) approach has been applied towards QCSP [23]. Timed Petri net (PN) has been used to deal with QCSP [26], and stochastic PNs have been applied for the modeling and analysis of the activities of human operations [27] and logistic systems [28] for a container terminal. Decision support systems (DSSs) have been used to solve both BAP and QCAP [2], and as a tool for decision making [3,29].…”

Section: Introductionmentioning

confidence: 99%

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Modeling and Solving the Three Seaside Operational Problems Using an Object-Oriented and Timed Predicate/Transition Net

et al. 2017

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Container terminals (CTs) play an essential role in the global transportation system. To deal with growing container shipments, a CT needs to better solve the three essential seaside operational problems; berth allocation problem (BAP), quay crane assignment problem (QCAP), and quay crane scheduling problem (QCSP), which affect the performance of a CT considerably. In past studies, the three seaside operational problems have often been solved individually or partially, which is likely to result in poor overall system performance. However, solving the three seaside operational problems simultaneously is in fact a very complicated task. In this research, we dealt with the three seaside operational problems at the same time by using a novel high-level Petri net, termed an Object-Oriented and Timed Predicate/Transition Net (OOTPr/Tr net). After defining the three seaside operational problems formally, we integrated them as a three-level framework that was further transformed into an OOTPr/Tr net model. Then, using the Prolog programming language, we implemented this model as a simulation tool to find the best solution based on the various combinations of heuristic rules used.

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Section: Studies Focusing On Simultaneous Problemsmentioning

confidence: 99%

“…task_token ("ship 9",0,container (7,50,45)). task_token ("ship 9",0,container (9,28,35)). task_token ("ship 9",0,container (11,50,45)).…”

Section: Appendix Amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling and Solving the Three Seaside Operational Problems Using an Object-Oriented and Timed Predicate/Transition Net

et al. 2017

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“…Our use of PNs is further motivated by the past successful applications to logistics [28] and to activities optimization in the CT [29]- [31]. On the other hand, PNs are also applied for scheduling transport vehicles in an automatic materialhandling environment of a manufacturing system [32].…”

Section: Literature Review On Intermodal Container Terminals a Lmentioning

confidence: 99%

“…This common interpretation allows us to build up a GSPN [48], which is useful to evaluate the performance of the modeled processes and which has been already used in logistic applications [28], [29]. This class of PNs is defined as GSPN = (P, T I ∪ T E , A, W, M 0 , FIR), which comes from PN when T is partitioned in a set T I of immediate transitions (sharp bars) and a set T E of timed exponential transitions (thick bars).…”

Section: A Notations and Assumptionsmentioning

confidence: 99%

A Generalized Stochastic Petri Net Approach for Modeling Activities of Human Operators in Intermodal Container Terminals

Maione

Mangini

Ottomanelli

2016

IEEE Trans. Automat. Sci. Eng.

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This paper proposes a Petri net (PN) representation of the activities performed by the key human operators for unloading/loading containers in an intermodal maritime container terminal (CT) with a low level of automation. These processes are the core of the export, import, and transshipment cycles executed in the terminal. The aim of this paper is to consider both the human component and the material handling resources, e.g., cranes and transporters, by defining an accurate model, which describes how to coordinate humans and use the system resources necessary for serving mother or feeder ships. The developed generalized stochastic PN-based model is of limited complexity and represents a complete, unambiguous, and readable model of the target process before coding it in the target simulation tool. The modular integrated model is tested and validated by the simulation of typical and perturbed scenarios of the Taranto CT, a real terminal that is taken as a case study for its complexity and similarity to CTs with multiple transport modes.Note to Practitioners-This paper proposes a new perspective for modeling, simulating, and controlling container terminals (CTs). Usually, the participation of human operators to the unloading/loading processes is neglected. However, a bad behavior of human operator can significantly modify the CT performances. Moreover, a few CTs are characterized by a low or partial level of automation. Then, the cooperation between the humans and the material handling equipment is important for executing several key tasks with efficiency (with respect to the deadlines), safety, and sustainability for humans. The complexity arising from a human-in-the-loop system demands for more accurate models that can reduce prediction errors and avoid unnecessary extra-equipment costs. Therefore, we propose an approach to explicitly consider the roles and main functions performed by a typical team of specialized operators. To verify the model accuracy and validate it, we simulate both standard and perturbed conditions of the Taranto CT. Given that the operators are usually assigned well-established tasks, the approach can be useful: 1) to improve the employment of humans and their supervisory activity; 2) to identify critical or faulty situations that involve operators or are caused by their errors and anomalous behaviors, thereby to improve safety and protect the handling equipment (e.g., by identifying delays and message losses in Manuscript operators' communication); and 3) to increase automation, by reassigning tasks from humans to automatic equipment.

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Sensitivity analysis of the performances of seaport container terminals

Febbraro

Sacco

2013

2013 International Conference on Control, Decision and Information Technologies (CoDIT)

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In the last decades, the continuous growth of the containerized freight transportation has led to a fast development of container terminals, that, as a consequence, need keeping the handling equipment efficient and tech-nologically advanced. In this framework, the investments for enhancing the handling throughput, and for reducing the management costs, have to be carefully planned. The present paper provides a model for decision support in finding the best kinds, and numbers, of resources via of a global sensitivity analysis approach. In particular, the proposed methodology points out those elements of the handling system whose performance variabilities influence the global performance of the seaport terminal the most

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Modeling and Analysis of Container Terminal Logistics System by Extended Generalized Stochastic Petri Nets

Cited by 5 publications

References 8 publications

Modeling and Solving the Three Seaside Operational Problems Using an Object-Oriented and Timed Predicate/Transition Net

Modeling and Solving the Three Seaside Operational Problems Using an Object-Oriented and Timed Predicate/Transition Net

A Generalized Stochastic Petri Net Approach for Modeling Activities of Human Operators in Intermodal Container Terminals

Sensitivity analysis of the performances of seaport container terminals

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