|Table of Contents|

“Data element ×” empowers manufacturing industry:theoretical logic and implementation path(PDF)

《长安大学学报（社科版）》[ISSN:1671-6248/CN:61-1391/C]

Issue:
2024年02期
Page:
54-70
Research Field:
经济学·“数据要素×”研究
Publishing date:
2024-04-20

Info

Title:
“Data element ×” empowers manufacturing industry:theoretical logic and implementation path
Author(s):
LI Yongjian1; 2
(1. Institute of Financial Strategy, Chinese Academy of Social Sciences, Beijing 100006, China; 2. School of Applied Economics, Chinese Academy of Social Sciences, Beijing 102488, China)
Keywords:
“data element ×; ”;  the multiplier effect of data elements;  manufacturing;  digitization;  data ecology;  industrial Internet;  data culture;  data security
PACS:
F49; F424
DOI:
-
Abstract:
The application potential of data elements in industrial manufacturing is vast. The “Data Element ×” Three-Year Action Plan(2024—2026)identifies industrial manufacturing as a key area to leverage the multiplier effect of data elements. Drawing from the digitization theory, industrial Internet theory, data ecology theory, data-driven decision-making theory, and business model innovation theory, it elucidates how the multiplier effect of data elements can be played out in manufacturing. Empowering the manufacturing industry entails a comprehensive integration of data elements across various stages, including R&D, manufacturing, and service capabilities, as well as leveraging simulation, optimization, control, prediction, and other dimensions. Policy-wise, fostering a robust data culture and facilitating interoperability, sharing, and reuse is imperative. Additionally, there is a need to augment R&D investments in foundational technologies pertinent to manufacturing data and to develop versatile tools conducive to data development in manufacturing. Enhancing computing power, algorithms, storage, and allied infrastructure to synergize with data elements is essential, as is nurturing a sound ecosystem involving data brokers, merchants, and transaction service entities. Establishing a robust national manufacturing data center and refining classification systems for public, enterprise, and personal data at national, local, industrial, and organizational levels are vital steps. Strengthening security standards for manufacturing data, guiding, and encouraging self-discipline among social organizations such as industry associations to enhance data security are also crucial for fortifying data security systems.

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Last Update: 2024-04-20