Risk assessment of new quality productivity technology based on analytic hierarchy process and SWOT analysis

Dongping Sheng*Changzhou Institute of Technology, Changzhou, ChinaAuthor
Chenxuan SongChangzhou Institute of Technology, Changzhou, ChinaAuthor
Zhaoqing ZhuChangzhou Institute of Technology, Changzhou, ChinaAuthor
Yuantong KongChangzhou Institute of Technology, Changzhou, ChinaAuthor
Dongsheng GaoChangzhou Institute of Technology, Changzhou, ChinaAuthor
Tong FuChangzhou Institute of Technology, Changzhou, ChinaAuthor
Chun SuChangzhou Institute of Technology, Changzhou, ChinaAuthor

Keywords:

Entropy Weight Method, Analytic Hierarchy Process, Linear Programming, SWOT Analysis, S-Curve Model, Particle Swarm Optimization Algorithm

Abstract

With the continuous progress of technology, new production technologies such as artificial intelligence, big data analysis, and the Internet of Things have been widely applied in various industries, significantly improving production efficiency and product quality, and fundamentally changing traditional production and operation methods. A manufacturing enterprise needs to consider many issues when introducing new productivity technologies, such as cost, safety, and compliance. The risk assessment model using Analytic Hierarchy Process and SWOT analysis can help decision-makers conduct multi-objective screening to improve the efficiency and accuracy of strategy formulation.

When selecting new quality productivity technologies that are suitable for the existing production system of the enterprise, an evaluation system should be established, rather than blindly selecting the best performing technology from the public. For problem two, when integrating the selected artificial intelligence technologies into the current production system, the DMAIC method can be used in the design plan. For work three, after introducing new technologies, enterprises need to first use market experience to identify risks, then establish a risk matrix for visual display, and then use a risk assessment model based on SWOT analysis for comprehensive evaluation, and finally determine the corresponding risk management strategy.

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*******************Cite this Article*******************

APA:

Sheng, D., Song, C., Zhu, Z., Kong, Y., Gao, D., Fu, T., & Su, C. (2024). Risk assessment of new quality productivity technology based on analytic hierarchy process and SWOT analysis. International Scientific Technical and Economic Research, 2(3), 80–89. http://www.istaer.online/index.php/Home/article/view/No.2468

GB/T 7714-2015:

Sheng Dongping, Song Chenxuan, Zhu Zhaoqing, Kong Yuantong, Gao Dongsheng, Fu Tong, Su Chun. Risk assessment of new quality productivity technology based on analytic hierarchy process and SWOT analysis[J]. International Scientific Technical and Economic Research, 2024, 2(3): 80–89. http://www.istaer.online/index.php/Home/article/view/No.2468

MLA:

Sheng, Dongping, et al. "Risk assessment of new quality productivity technology based on analytic hierarchy process and SWOT analysis." International Scientific Technical and Economic Research, 2.3 (2024): 80-89. http://www.istaer.online/index.php/Home/article/view/No.2468

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Published

2024-09-30

Issue

Volume. 2, No. 3 (September 2024)

Section

Research Article

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This work is licensed under the Creative Commons Attribution International License (CC BY 4.0).

How to Cite

Risk assessment of new quality productivity technology based on analytic hierarchy process and SWOT analysis: ACKNOWLEDGEMENTS: This work was Supported by Special Research Project on Teaching Reform(Grant No. 30120300100-23-yb-jgkt03). (2024). International Scientific Technical and Economic Research , 7(3), 80-89. https://www.istaer.online/index.php/Home/article/view/No.2468