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Exploration of Deep Integration Development Methods between Logistics Industry and Manufacturing Industry in the Digital Economy

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DOI: 10.23977/ieim.2024.070306 | Downloads: 30 | Views: 897

Author(s)

Min Feng 1, Qi Yang 1, Xiaohua Cai 1, Hongxia Gu 1, Meizhen Xie 1

Affiliation(s)

1 Haojing College, Shaanxi University of Science and Technology, Xi'an, Shaanxi, China

Corresponding Author

Min Feng

ABSTRACT

Under the new normal, the integration of logistics and manufacturing has become an inevitable trend in industrial development. The development plan for the two industries was jointly issued by multiple ministries, including the Group Development and Reform Commission, which put forward new demands for deepening reform and opening up. Taking the integrated development of China's "two industries" as an example, an evaluation index system for the integrated development of China's logistics and manufacturing industries is established from six aspects: economic, social, ecological benefits, structural optimization, technological innovation, and open development. Secondly, the entropy method is used to weight each indicator and calculate the comprehensive evaluation indicators of the "two industries", establishing a coupling and synergy model for the degree of integration of the "two industries". Based on the measurement of the degree of integration between the two industries, taking into account the actual situation and historical background of China's economic and social development, this study aims to explore the promotion methods and policy measures for the deep integration of the two industries, with the aim of providing reference for the development of logistics and manufacturing industries in different regions of China.

KEYWORDS

Logistics Industry, Manufacturing Industry, Integrated Development, Coupling Degree Coordination Model

CITE THIS PAPER

Min Feng, Qi Yang, Xiaohua Cai, Hongxia Gu, Meizhen Xie, Exploration of Deep Integration Development Methods between Logistics Industry and Manufacturing Industry in the Digital Economy. Industrial Engineering and Innovation Management (2024) Vol. 7: 36-43. DOI: http://dx.doi.org/10.23977/ieim.2024.070306.

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