Application of the Tecnomatix Plant Simulation Program to Modelling the Handling of Ocean Containers using the AGV System

Fedorko, Gabriel; Molnár, Viktor; Vasil, Martin; Hanzl, Jiří

doi:10.17818/nm/2018/4si.12

Cited by 10 publications

(6 citation statements)

References 12 publications

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“…As the main suppliers being considered, several manufacturers involved in the development and production of such a technology were chosen. They all belong to global suppliers of warehouse and distribution transport-logistics equipment and handling devices [21]. The specifications and parameters of individual scenarios (evaluated variants) are as follows [1]:…”

Section: Application Of the Multi-criteria Decision-making Methods -Amentioning

confidence: 99%

Application of the Chosen Multi-Criteria Decision-Making Methods to Identify the Autonomous Train System Supplier

Stopka¹,

Stopková²,

Ľupták³

et al. 2020

Transport Problems

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This paper addresses an application of the specific methods of multi-criteria decision analysis to specify the appropriate supplier of an autonomous train in a certain production-distribution company. This company identifies three potential suppliers dealing with the development and purchase of autonomous train systems. In terms of the multi-criteria decision analysis, the WSA method, the Scoring method and the TOPSIS method were used to define a suitable compromise solution. To apply each method, individual suppliers were sorted depending on the appropriateness for the examined company based on relevance with all the identified criteria and their weights. The evaluation criteria include procurement cost, time of the whole autonomous train system project implementation, references from plants where such a technology has already been introduced, service department availability and battery charge time. Thereafter, the outcomes obtained using individual methods were compared to each other and the compromise supplier of the autonomous train system to be implemented in the selected company was determined.

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Section: Application Of the Multi-criteria Decision-making Methods -Amentioning

confidence: 99%

Application of the Chosen Multi-Criteria Decision-Making Methods to Identify the Autonomous Train System Supplier

Stopka¹,

Stopková²,

Ľupták³

et al. 2020

Transport Problems

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“…The program can be used at all stages related to the process and system, from planning and design, through simulation and verification, to implementation and management [20]. Plant Simulation is a good tool for modeling complex digital models of various types of systems [21].…”

Section: Tecnomatix Plant Simulationmentioning

confidence: 99%

Development and Verification of a Simulation Model of an Automated Assembly Line

Bendowska,

Zawadzki

2023

Applied Sciences

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Simulation models are integral to IT solutions built according to the Industry 4.0 concept. They are often the basis for developing digital twin solutions, which is why development environments are constantly developed and improved to meet the growing requirements of manufacturing enterprises. This work presents the development and verification of a simulation model of an automated assembly line located in the Smart Factory laboratory of the Poznań University of Technology. One of the criteria for designing the assembly process on this line is the time it takes for transport pallets to pass through individual stations. The work is a response to the need to quickly analyze the designed product assembly scenarios to choose the best one. The operation of the automated line with six assembly stations and allowing for the simultaneous transport of six pallets were considered. The main purpose of the work was to build a simulation model that would allow us to obtain assembly times close to real. The model was created using the Tecnomatix Plant Simulation 16.0 software, and verification work was carried out through a comparative analysis of the results of the simulation time of various assembly scenarios in relation to the actual operation of the line.

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“…Fedorko, Molnar, Vasil and Hanzl used discrete event simulation to model the handling of ocean containers using an AGV system (Fedorko, Molnar, Vasil, Hanzl, 2018) [16]. They also applied the Plant Simulation software for this purpose.…”

Section: Review Of the Related Literaturementioning

confidence: 99%

Application of Freely Moving AGVs in a Discrete Event Simulation Environment: A First Model

Skapinyecz

Landschützer

2022

ALS

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The use of automated guided vehicles (AGVs) in manufacturing systems has become particularly widespread in the latter period, thanks to the intensification of automation and to the adoption of the Industry 4.0 principle. Modern AGVs can also have greater autonomy then before, thanks to the advancement of the related technologies which further improve their applicability in numerous complex settings. In the Industry 4.0 principle, the use of predictive simulations in relation to manufacturing logistics systems also plays an important role, which applies to the modelling of the operation of AGVs as well. In light of these developments, the current paper introduces an initial model with the aim to demonstrate a possible approach for modelling the operation of freely moving AGVs in a discrete event simulation environment. The model is made with Plant Simulation, a widely applied discrete event simulation software. The presented approach opens the door for multiple future research avenues and could also serve as a basis for a further developed general model with wider utilization possibilities.

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Application of the Tecnomatix Plant Simulation Program to Modelling the Handling of Ocean Containers using the AGV System

Cited by 10 publications

References 12 publications

Application of the Chosen Multi-Criteria Decision-Making Methods to Identify the Autonomous Train System Supplier

Application of the Chosen Multi-Criteria Decision-Making Methods to Identify the Autonomous Train System Supplier

Development and Verification of a Simulation Model of an Automated Assembly Line

Application of Freely Moving AGVs in a Discrete Event Simulation Environment: A First Model

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