Author(s)

Ziwen Lu ¹

Affiliation(s)

¹ McCourt School of Public Policy, Georgetown University, 37th and O Streets, N.W. 20057, Washington, D.C. United States

Corresponding Author

Ziwen Lu

ABSTRACT

With the development of the Internet of things technology, various industries in our country have also entered a period of rapid development, but the cultural industry is still in a stage of slow development to a certain extent. This article is based on the data of China Publishing Group Corporation's integrated supply chain in the past five years, combined with complex theories and Internet of things technology, to analyze the opposing model of the integrated supply chain. This paper takes the actual efficiency of the integrated index structure in the Internet of things technology on the uncertain data flow as the research object, and based on the Internet of things technology, studies an efficient and efficient method of query processing for the integrated supply chain on the unknown network traffic based on the opposition model. Sampling the data in the sliding window of the uncertain data stream and establishing an opposite model, converting the data stream into a parameter stream in the uncertain object probability density function; the opposite model establishes the TPL tree index structure, this algorithm is to reduce the calculation. It uses the parametric flow of the opposite model. This method first obtains the set of local clustering results at the distributed nodes, and then performs the local clustering optimization on the union of the local clustering results again to obtain the global TPL result set. The experimental results show that, compared with the unintegrated traditional enterprise supply chain integration method, this method can not only effectively model the cultural industry clustering to assist the construction of cultural industry clusters, but also can effectively prune the unintegrated parts and improve the culture, the efficiency of industrial clustering.

KEYWORDS

Complex Theory, Internet of Things Technology, Integrated Supply Chain Management, Cultural Industry Clustering

CITE THIS PAPER

Ziwen Lu, Advantages and Countermeasures of Integrating Supply Chain Management under the Internet of Things Technology on Complex Theory to Promote the Clustering of Cultural Industries. Industrial Engineering and Innovation Management (2022) Vol. 5: 15-30. DOI: http://dx.doi.org/10.23977/ieim.2022.051002.

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