Innovation development and capability evolution for traditional machinery manufacturing enterprises based on genetic algorithm

ABSTRACT

Agricultural machinery manufacturing enterprises are the backbone forces of improving competitiveness of the agricultural machinery industry and the development of the regional economy. Therefore, exploring the energy consumption and sustainable development paths for the traditional agricultural machinery manufacturing enterprises in the manufacturing process in China has an important practical significance for promoting the transformation and upgrading of enterprises and improving competitiveness. The innovative ability of an enterprise plays important in the sustainable development of agricultural machinery manufacturing industry clusters, and the proportion of fixed assets input has a greater impact on the development scale of agricultural machinery manufacturing industry clusters.

KEYWORDS:

• Agricultural machinery manufacturing enterprises
• energy consumption
• flexible process planning
• static scheduling of flexible flow workshops
• system dynamics
• innovative ability of enterprises

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by National Natural Science Foundation of China (L1824045) and China Rail Corp Science and Technology R&D Project (N2018Z008).