Multi-agent optimization of the intermodal terminal main parameters by using AnyLogic simulation platform: Case study on the Ningbo-Zhoushan Port

Muravev, Dmitri; Hu, Hao; Rakhmangulov, Aleksandr; Mishkurov, Pavel

doi:10.1016/j.ijinfomgt.2020.102133

Cited by 77 publications

(35 citation statements)

References 57 publications

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“…Modern publications are devoted to the development of simulation models of transport and logistics infrastructure in the Anylogic system, which has a fairly large functionality. For example, in the article [9], a simulation model of the dynamics of systems based on agents was developed to achieve a stable state of the main parameters of intermodal terminals. But this model does not allow investigating the CCC operation as part of the logistics chain.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…The input stream is a set of vehicles arriving for service. The parameters of each order Z l are determined by the structure Z l ={Il, Т r , P, С}, l=1, 2,…., n z , (9) where I l -the identifier of the link; Т r -the moment of application order; P -vector of order parameters; С -the list of parameters for servicing the order; n z -the total number of orders.…”

Section: Simulation Model Of the Logistics Chain And Cargo Customs Complexmentioning

confidence: 99%

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Development of a simulation model of a cargo customs complex operation as a link of a logistic supply chain

Mazurenko

Kudriashov

Lebid

et al. 2021

EEJET

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The main link in the logistics supply chain is the cargo customs complex. It provides customs and logistics services to cargo owners during the export and import of goods, complex services, placement of goods in a customs warehouse and a temporary storage warehouse. To substantiate the choice of the optimal logistics supply chain and optimize the work of the cargo customs complex, it is proposed to use simulation modeling. The model of operation of the logistics chain and the cargo customs complex is presented in a general form. The proposed model is implemented in the GPSS World simulation automation package. Testing the simulation model involved checking its adequacy. Checking the adequacy of the simulation model, which showed the maximum value of the t-statistic of 1.424 with a critical value of 1.85, proved its compliance with the work of a real object. After completing the adequacy check, the simulation error was estimated, which was 3 % with an allowable 5 %, due to the presence of pseudo-random number generators in the simulation model. Thus, the simulation error is insignificant for this study. For the cargo customs complex, an example of the simulation results is given. Based on the results of simulation modeling, it is possible to determine: the optimal type of the logistics supply chain and the optimal structure of the cargo customs complex. A wide range of tasks that the proposed simulation model can solve is presented. Thus, the developed simulation model will make it possible to analyze and improve the modes of operation of the cargo customs complex. In addition, it will allow to get an informed decision regarding the use of a certain type of logistics supply chain

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Simulation Model Of the Logistics Chain And Cargo Customs Complexmentioning

confidence: 99%

Development of a simulation model of a cargo customs complex operation as a link of a logistic supply chain

Mazurenko

Kudriashov

Lebid

et al. 2021

EEJET

View full text Add to dashboard Cite

show abstract

“…Furthermore, other research has combined different simulation paradigms to solve optimization problems at different decision levels. For example, in [20], a system-dynamic model was used to optimize the main parameters of a dry port, and in [21], a combination of system-dynamic and discrete-event simulation models was used. Kastner et al [22] provide a literature overview of simulationbased optimization at container terminals.…”

Section: Literature Review On Integrated Decision Problemsmentioning

confidence: 99%

Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals

et al. 2021

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At container terminals, many cargo handling processes are interconnected and occur in parallel. Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization. During operation, many sources of disturbance and, thus, uncertainty exist. For these reasons, perfectly coordinated processes can potentially unravel. This study analyzes simulation-based optimization, an approach that considers uncertainty by means of simulation while optimizing a given objective. The developed procedure simultaneously scales the amount of utilized equipment and adjusts the selection and tuning of operational policies. Thus, the benefits of a simulation study and an integrated optimization framework are combined in a new way. Four meta-heuristics—Tree-structured Parzen Estimator, Bayesian Optimization, Simulated Annealing, and Random Search—guide the simulation-based optimization process. Thus, this study aims to determine a favorable configuration of equipment quantity and operational policies for container terminals using a small number of experiments and, simultaneously, to empirically compare the chosen meta-heuristics including the reproducibility of the optimization runs. The results show that simulation-based optimization is suitable for identifying the amount of required equipment and well-performing policies. Among the presented scenarios, no clear ranking between meta-heuristics regarding the solution quality exists. The approximated optima suggest that pooling yard trucks and a yard block assignment that is close to the quay crane are preferable.

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“…While Antonova et al (2020) analyzed passenger traffic at an underground station to examine the points of congestion, Koskela et al (2020) developed a simulation tool that allows the user to explore the effectiveness and impact of a local biorefinery in waste management. Additionally, Kuklowa's ( 2021) study proposed a highway management model in Prague, whereas Muravev et al (2021) used AnyLogic platform for optimization of the intermodal terminals on port management.…”

Section: Anylogicmentioning

confidence: 99%

Etmen-tabanlı modellemede belirme ve karmaşıklık: Güncel araştırmaların incelenmesi

Cenani

2021

Journal of Computational Design

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Agent-based systems are an important application area of artificial intelligence and are used in decision support systems. Rather than being a problem-solving tool, agent-based system is a tool for developing and testing alternative solutions according to various scenarios. In this context, agent-based modeling is a very effective method to support decision makers in emergency situations to evaluate different risk scenarios and then make decisions quickly and effectively. Moreover, agent-based modeling is a very useful method to support decision makers in situations of high complexity and uncertainty. This paper introduces current studies performed with several agent-based modeling tools and software environments such as NetLogo, AnyLogic, MATSim and Repast. Apart from these, various agent-based modeling tools exist, but these four tools have been chosen because they are still receiving software updates and being widely used in the most current studies. The aims of this study are to review these four agent-based modeling tools, present state-of-the-art research conducted with these tools and provide a reference of agent-based modeling tools for researchers who are developing decision support systems in architectural, urban and transportation design research fields. In this paper, after giving a brief definition of an agent-based system and explaining the importance of concepts such as emergence and complexity in the field of agent-based modeling, it is explained who uses the agentbased models for what purpose, when, where, why and how to use agent-based modeling through selected examples from state-of-the-art studies carried out in different research fields. Furthermore, what current studies and agent-based modeling tools teach us and how future studies can benefit from agent-based models are briefly discussed.

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Multi-agent optimization of the intermodal terminal main parameters by using AnyLogic simulation platform: Case study on the Ningbo-Zhoushan Port

Cited by 77 publications

References 57 publications

Development of a simulation model of a cargo customs complex operation as a link of a logistic supply chain

Development of a simulation model of a cargo customs complex operation as a link of a logistic supply chain

Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals

Etmen-tabanlı modellemede belirme ve karmaşıklık: Güncel araştırmaların incelenmesi

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