<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Colleges and universities are important institutions for talent cultivation, scientific and technological innovation, social service, and cultural inheritance. College logistics management is an indispensable part of the daily operation of colleges and universities, and the high and low level of college and university logistics management directly affects the strength of the overall strength of colleges and universities. This paper puts forward the optimization strategy of college logistics management from three aspects: leadership level, personnel quality, and work system. It adopts digital twin technology to realize the construction of fine management mode and, in order to effectively assess the efficiency of college logistics management, explores the level of college logistics management by constructing the FAHP model. Finally, using M College as the research object, the refined management model of college logistics based on digital twin technology is analyzed. Management system and execution have a weight value of 0.3762 among the first-level indicators, which is higher than the other two factors. The hierarchical total ranking is used to identify the factors that have a greater impact on college and university logistics efficiency in the second-level indicators. The comprehensive score of logistics management efficiency for college M is 92, which belongs to the range of excellent grades. Therefore, for the level of fine management of college logistics, the management system and execution is the key, which can be realized by strictly charging according to the regulations, sound rules and regulations and regular training of relevant managers.</p>
</abstract>

Colleges and universities are important institutions for talent cultivation, scientific and technological innovation, social service, and cultural inheritance. College logistics management is an indispensable part of the daily operation of colleges and universities, and the high and low level of college and university logistics management directly affects the strength of the overall strength of colleges and universities. This paper puts forward the optimization strategy of college logistics management from three aspects: leadership level, personnel quality, and work system. It adopts digital twin technology to realize the construction of fine management mode and, in order to effectively assess the efficiency of college logistics management, explores the level of college logistics management by constructing the FAHP model. Finally, using M College as the research object, the refined management model of college logistics based on digital twin technology is analyzed. Management system and execution have a weight value of 0.3762 among the first-level indicators, which is higher than the other two factors. The hierarchical total ranking is used to identify the factors that have a greater impact on college and university logistics efficiency in the second-level indicators. The comprehensive score of logistics management efficiency for college M is 92, which belongs to the range of excellent grades. Therefore, for the level of fine management of college logistics, the management system and execution is the key, which can be realized by strictly charging according to the regulations, sound rules and regulations and regular training of relevant managers.

Exploration of Fine Management Mode of College Logistics Based on Digital Twin Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Colleges and universities are important institutions for talent cultivation, scientific and technological innovation, social service, and cultural inheritance....

Exploration of Fine Management Mode of College Logistics Based on Digital Twin Technology

Pubblicato online: 03 giu 2024

Pagine: -

Ricevuto: 14 feb 2024

Accettato: 16 apr 2024

DOI: https://doi.org/10.2478/amns-2024-1300

Parole chiave
Triangular fuzzy number, FAHP model, Digital twin technology, Attendance refinement management

© 2024 Xiaodong Yu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploration of Fine Management Mode of College Logistics Based on Digital Twin Technology

Pubblicato online: 03 giu 2024

Pagine: -

Ricevuto: 14 feb 2024

Accettato: 16 apr 2024

DOI: https://doi.org/10.2478/amns-2024-1300

Parole chiaveTriangular fuzzy number, FAHP model, Digital twin technology, Attendance refinement management

© 2024 Xiaodong Yu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Triangular fuzzy number, FAHP model, Digital twin technology, Attendance refinement management