The Dynamics of Manufacturing Value Chain Climbing System under MPL Framework: Modeling and Simulation Based on Intelligent Transformation

Jiazi Zhou, Xin Wen and Juan L. G. Guirao

Discrete Dynamics in Nature and Society, 2022, vol. 2022, 1-12

Abstract: Taking intelligent manufacturing pilot enterprises such as the verification sample, this paper uses system dynamics modeling and system simulation methods to analyze the influencing factors and climbing modes of their value chain climbing system under the intelligent transformation. The results show that (1) the value chain climbing system under the intelligent transformation is divided into the original chain climbing layer, cross-chain horizontal climbing layer, and new chain vertical climbing layer; (2) intelligence level, technological innovation level, market share, green development, and government investment all positively impact the value increase. Increased technological innovation level can effectively promote the rise of the value chain from the original chain climbing level to the cross-chain horizontal climbing level. The increase in market scale can effectively promote the rise of the value chain from the cross-chain horizontal climbing level to the new chain vertical climbing level. Green development has a significant impact when enterprises climb to the high end of the value chain; (3) with the deepening of intelligent transformation, the value chain system rises in an orderly, layer by layer manner.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:4574183

DOI: 10.1155/2022/4574183

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