Construction technology of intelligent manufacturing service systems driven by industrial big data

Zhang, Wei; Wang, Xingkang; Shi, Yantao; Gu, Xinjian; Wang, Jun; Tian, Jinghong

doi:10.1360/sst-2022-0372

Cited by 1 publication

(3 citation statements)

References 16 publications

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“…More and more experts and scholars are beginning to focus on research in the field of intelligent manufacturing services. Zhang [2] believe that intelligent manufacturing services are the result of the increasing intelligence of manufacturing services in the process of deepening the application of industrial internet and artificial intelligence. Li [1] believe that intelligent manufacturing services involve harnessing, analyzing, storing, reasoning, and applying big data resources in manufacturing through the use of nextgeneration information technology.…”

Section: Literature Review 21 Intelligent Manufacturing Servicementioning

confidence: 99%

“…The former refers to intermediary services provided by service companies to manufacturing enterprises, while the latter refers to product service systems provided by manufacturing enterprises to end-users. [2] In the process of deepening the application of industrial internet and artificial intelligence, manufacturing services are becoming more intelligent, evolving into intelligent manufacturing services.…”

Section: Introductionmentioning

confidence: 99%

“…Building upon existing researches, this article wants to solve the following questions: (1) What are the risk factors of SSC in IMS? (2) How to use scientific methods to evaluate risk factors? This paper's objectives are formulated as follows: First, we identify the risk factors of smart supply chains in IMS through literature research.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Risk Factors Assessment of Smart Supply Chain in Intelligent Manufacturing Services Using DEMATEL Method With LINGUISTIC q-ROF Information

Xu,

Wang,

Feng

et al. 2024

J. Oper. Intell.

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With the rapid development of technological informatization, competition among enterprises is gradually transitioning from being "production-centered" to being "customer-centric," making service-oriented enterprises increasingly important. In addition to this, as global manufacturing advances in the process of intelligent manufacturing (IM), there is growing attention on the integration of manufacturing and the service industry, which has garnered the interest of numerous experts and scholars in the field of intelligent manufacturing services (IMS). This article combines intelligent manufacturing enterprises, intelligent service nodes, and consumers. Based on the background of intelligent manufacturing services, it collected risk factors within the smart supply chain (SSC) that connect different service nodes. These factors were evaluated by experts using a proposed linguistic q-rung orthopair fuzzy weighted averaging (Lq-ROFWA) operator in combination with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method for aggregation operations. Finally, we obtain the conclusions that the most influential factor affecting other risk factors is the inadequate identification of core customer needs; and the most important risk factor for smart supply chains oriented to intelligent manufacturing services is the leakage of customer information. After analyzing the relevant data, we will provide some theoretical and managerial implications for IM enterprises.

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Section: Literature Review 21 Intelligent Manufacturing Servicementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%