Analytical support for effective functioning of intelligent manufacturing and transport systems

Kripak, Marina; Palkina, Elena Sergeyevna; Seliverstov, Yaroslav A.

doi:10.1088/1757-899x/709/3/033065

Cited by 18 publications

(6 citation statements)

References 3 publications

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“…At the same time, there is a certain discreteness, inconsistency of processes and phenomena in the digitization of transport systems, which reduces the effectiveness of digital transformation of transport and can lead to increased costs, and, as a consequence, to reducing the competitiveness of domestic products in the world market. The results of the analysis of domestic and foreign literature indicate insufficient degree of elaboration of the theoretical and conceptual provisions for developing transport system management in the digital economy [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. It is also important to note the lack of justification of the need to apply certain management concepts for organizations of transport industry in the specialized literature.…”

Section: Methodsmentioning

confidence: 99%

Conceptual basis of using digital technologies for reducing transport costs in product price

Palkina

2021

E3S Web Conf.

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The article presents the conceptual foundation of integrated management of digital transformation processes in transport which plays an important role in support of industrial production and determines the prices of products. The paper substantiates the interrelated use of the following concepts in building the integrated management system for digital transport: Industry 4.0, process management, sustainable development, stakeholder influence, value-based management, lean production and risk management. Improving the theoretical basis of the digital transformation management system in transport will allow industrial enterprises to improve the efficiency of their activity, taking into account the expectations of stakeholders. Examples of practical implementation of conceptual provisions are presented. The author suggests to use the specific key performance indicators that allow to evaluate the effectiveness of the proposed integrated management system for digital transport systems based on the considered concepts. The achieved results form the scientific basis for elaboration and implementation of the economic mechanism for ensuring sustainable increasing efficiency of transport organizations, serving the industrial production and determining distribution costs in conditions of the digital economy.

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Section: Methodsmentioning

confidence: 99%

Conceptual basis of using digital technologies for reducing transport costs in product price

Palkina

2021

E3S Web Conf.

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“…Indepth discussion on the functional modules and technical foundations of each layer is also given, and the future research direction of the Industry 4.0 system is also given. At the same time, it is pointed out that intelligent manufacturing technology is a highly flexible and highly integrated way, through computer simulation of human brain analysis, judgment, and decision-making [17,18]. Unlike the computer integrated manufacturing system that emphasizes the integration of enterprise material flow and information flow, the intelligent manufacturing system emphasizes the self-organization ability of the entire manufacturing process.…”

Section: Related Workmentioning

confidence: 99%

A Construction Method of Intelligent Manufacturing System under Industry 4.0 Model

Xiao

Zeng

2021

Scientific Programming

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Starting from the current problems facing Industry 4.0, this article analyzes the changes in the macro and industrial environment that Industry 4.0 faces and explains the problems, opportunities, and strategies for the manufacturing industry in the external environment. First, the reference system of the intelligent manufacturing system, the current status, and the existing problems of industrial production management are analyzed through the investigation of the status quo of industrial production and management. This puts forward the detailed requirements of the industrial intelligent manufacturing system in the data acquisition layer, data storage layer, and analysis and decision support layer and then designs the hierarchical structure of the industrial intelligent manufacturing system. Subsequently, it adopts design methods and lists product manufacturing costs, pointing out that Industry 4.0 requires industrial transformation, and finally proposes the strategic direction of smart manufacturing in combination with the Industry 4.0 network strategy. At the same time, in view of the problems of long parameter measurement time and untimely system feedback in the existing koji-making process, an online parameter measurement method based on network optimization is proposed. On the basis of the neural network, an industrial neural network with double hidden layers and self-feedback of the output layer is proposed. Through algorithm comparison experiments, the proposed parameter prediction model based on industrial neural network has better prediction results and higher accuracy. Finally, a comparison of cost, quality, delivery time, etc., before and after the implementation of Industry 4.0 intelligent manufacturing is carried out. An intelligent solution is proposed, the implementation goal is formulated, and the implementation is gradually implemented in stages, and finally an intelligent upgrade and transformation are realized. It is shown in many aspects that intelligent manufacturing provides a powerful means for enterprises to achieve agility, virtualization, lean, integration, and collaboration, and it can bring efficiency, reliability, and safety to the manufacturing process of enterprises.

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“…Различным аспектам функционирования городского транспорта посвящено значительное число научных работ. Отметим фундаментальные исследования [1][2][3], работы, посвященные исследованию проблем развития транспортной инфраструктуры [4,5], работы, исследующие проблемы управления на транспорте [6,7]. Интересно исследование процесса развития транспортной системы Канады [8].…”

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Analysis of the Development of the Transport System of Saint Petersburg

Smirnov

2021

Mir novoj jekonomiki

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St. Petersburg is the fourth most populous city in Europe (after Moscow, Greater London and Greater Paris). Hundreds of thousands of people move daily within the urban agglomeration. Under these conditions, the effective functioning of the urban economy is impossible without a modern transport system capable of providing a solution to current and future problems of the urban economy. The work aims to analyse the effectiveness of the development of the transport system of St. Petersburg. Therefore, it is necessary to examine the main provisions of the most critical regulatory legal acts regulating the city's transport system's development, identify their advantages and disadvantages, and determine how effectively the activities outlined in them are being implemented in dynamics. The author's analysis of the two editions of the St. Petersburg transport system development program (the original edition of 2014 and the current edition of 2020) revealed negative trends, consisting of the deviation of the program indicators' actual value their planned values. Based on the results of the study, the author draws the following conclusions: when implementing the program for the development of the transport system of St. Petersburg, general principles of strategic management are not used, particularly, the effectiveness of program measures is not analysed, the reasons and factors that led to the deviation of planned indicators from the actual ones are not extended for a new period without any assessment of the results achieved; indicators of the transport system development program are constantly being adjusted downward; There is no unified management system for the development of transport infrastructure in the city, the program activities themselves are distributed among separate committees of the city administration, which harms the results of socio-economic development of the transport complex.

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Analytical support for effective functioning of intelligent manufacturing and transport systems

Cited by 18 publications

References 3 publications

Conceptual basis of using digital technologies for reducing transport costs in product price

Conceptual basis of using digital technologies for reducing transport costs in product price

A Construction Method of Intelligent Manufacturing System under Industry 4.0 Model

Analysis of the Development of the Transport System of Saint Petersburg

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