Intelligent Logistics for Intelligent Production Systems

Krajčovič, Martin; Grznár, Patrik; Fusko, Miroslav; Skokan, Radovan

doi:10.26552/com.c.2018.4.16-23

Cited by 22 publications

(19 citation statements)

References 13 publications

(11 reference statements)

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“…At the same time, the system performs robot management, route management, monitoring management, and task management on the established user management system by digitizing the warehouse environment. Handling multiple transport robots in the warehouse would reduce the labor required by the company and improve the efciency of the logistics system, the speed and precision of logistics transportation, and the competitiveness of the enterprise [16,17].…”

Section: Design Of Intelligent Logistics Management Systemmentioning

confidence: 99%

Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot

2023

Journal of Robotics

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With the rapid development of the Internet of Things (IoT), the logistics and transportation industry is booming. At the same time, with the advancement of AI technology, intelligent logistics is also gradually emerging, and the purpose of intelligent logistics is to use different types of automatic guided transport machines to replace people to handle and move products. At the same time, with the help of big data, cloud computing, artificial intelligence, sensor technology, and other technologies, we can achieve logistics automation. However, the current logistics robot creation platforms are diverse, which makes intelligent logistics robots diverse in variety and wide in application and also makes the creation and use of robots more challenging. Robot Operating System (ROS) is an open-source software platform that supports programming in multiple languages and has excellent adaptability. In addition, most of the currently used path planning focuses on a single target point, which is insufficient to support the current needs of multitasking in intelligent logistics. Therefore, this paper aimed to design an intelligent logistics management system based on ROS robot and proposed to use the A-star algorithm to calculate the shortest path of the robot so as to achieve the optimal path. In the simulation experiment, 20 ROS robots were selected and divided into two groups. In the logistics warehouse of different transportation nodes, 20 ROS robots were set up to transport goods of different weights in the experiment, and the transportation data were collected at last. The final simulation results have shown that the power consumption and response delay performance of the ROS robot are good, and the logistics transportation speed is significantly improved. In addition, compared with the traditional transportation method, the daily transportation weight of each robot is up to 310.1% and the monthly profit is up to 171%, which shows that the intelligent logistics management system designed in this paper is more efficient in logistics and transportation and can bring more profits.

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Section: Design Of Intelligent Logistics Management Systemmentioning

confidence: 99%

Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot

2023

Journal of Robotics

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“…Krajčovič et al present several steps to transform logistics systems toward logistics 4.0, whereby the development of factory management strategies from reactive to predictive and proactive approaches is described. To enable those strategies, the implementation of DT technologies is suggested [45]. These DTs can be developed and applied for all phases during a product's life cycle, which can be divided into product design, product manufacturing, and product service.…”

Section: Enabling Conceptsmentioning

confidence: 99%

State of the Art and Future Directions of Digital Twins for Production Logistics: A Systematic Literature Review

Kaiblinger

Woschank

2022

Applied Sciences

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Digital Twins (DTs) are widely discussed in the context of the Industry 4.0 paradigm as one of the main opportunities to strengthen the overall competitiveness of manufacturing enterprises. Despite a substantial scientific discussion, there is still no unified understanding regarding the constitution and subsequent usage of DTs within production logistics systems. Therefore, this paper focuses on the application of DTs in production logistics. The authors discuss common definitions, characteristics, and functionalities of DTs and outline current developments and implications from state-of-the-art implementation approaches, by using a systematic literature review. Moreover, based on the research findings, the authors evaluate a set of DT case studies, identify current research gaps, and present potential directions for future research initiatives regarding the field of production logistics in manufacturing enterprises.

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“…Due to the documentation used in the company, the team could use ready-made flow diagrams (spoiler assembly process, workstation 9.8, activities 9.8.1-9.8.24); however, this solution is only seemingly easier. As production practice shows, the analyses carried out on defect trees effectively limit the possibility of overlooking a failure in the process [16,[18][19]. By using the structure tree analysis, the team organized the hierarchy of system components and illustrated relationships by means of structural connections.…”

Section: Ndmentioning

confidence: 99%

Practical Application of the New Approach To FMEA Method according to AIAG and VDA Reference Manual

Plinta¹,

Golińska²,

Dulina³

2021

Komunikácie

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System requirements in the automotive industry are constantly evolving and being improved. Currently, the entire supply chain, related to the automotive industry, is subject to the fourth amendment to the technical automotive standard - IATF 16949: 2016 Quality management systems - Detailed requirements for the use of ISO 9001: 2015 in serial production and production of spare parts in the automotive industry. In IATF standard, there are advices called reference manuals that provide important guidance on the quality system in this industry - one of them is the FMEA manual. The new guidelines in this regard, developed jointly by AIAG and VDA, entered into force in June 2019. Presentation of the most important changes introduced, as well as presentation of a practical example of the conducted analysis is the purpose of the article.

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Intelligent Logistics for Intelligent Production Systems

Cited by 22 publications

References 13 publications

Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot

Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot

State of the Art and Future Directions of Digital Twins for Production Logistics: A Systematic Literature Review

Practical Application of the New Approach To FMEA Method according to AIAG and VDA Reference Manual

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