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Kinetic Mechanical Engineering, 2020, 1(4); doi: 10.38007/KME.2020.010401.

Construction Machinery Product After-sales Field Based on Data Mining

Author(s)

Prusa Petar

Corresponding Author:
Prusa Petar
Affiliation(s)

Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands

Abstract

With the development of the market economy and the rise of the service industry, the survival and development of enterprises have quietly undergone tremendous changes. With the change of consumers' consumption concept, consumers are more willing to choose enterprises with high-quality after-sales service quality while paying attention to product quality. Therefore, the quality of after-sales service has become a powerful factor for enterprises to maintain and expand market share. Therefore, this paper discusses the after-sale field (ASF) of construction machinery (CM) products relying on data mining (DM) technology. This paper analyzes the current situation and characteristics of the after-sales spare parts logistics of CM products, discusses the after-sales service of CM products based on DM technology, which should be tested and analyzed experimentally, and verifies that it is feasible to use sequence mining technology in the after-sales service of CM products.

Keywords

Data Mining, Construction Machinery, Mechanical Products, After-sales Field

Cite This Paper

Prusa Petar. Construction Machinery Product After-sales Field Based on Data Mining. Kinetic Mechanical Engineering (2020), Vol. 1, Issue 4: 1-10. https://doi.org/10.38007/KME.2020.010401.

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