scholarly journals Deep research on big data index analysis method in intelligent manufacturing industry

2021 ◽  
Vol 1884 (1) ◽  
pp. 012001
Author(s):  
YuXiang Song
Keyword(s):  
Big Data ◽  
Manufacturing Industry ◽  
Intelligent Manufacturing ◽  
Analysis Method ◽  
Index Analysis

Research on Evaluation of Intelligent Manufacturing Capability and Layout Superiority of Supply Chain by Big Data Analysis

2022 ◽  
Vol 30 (7) ◽  
pp. 0-0
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Manufacturing Industry ◽  
Cost Model ◽  
Intelligent Manufacturing ◽  
Research On Evaluation ◽  
Manufacturing Capability ◽  
Enterprise Collaboration ◽  
Manufacturing Mode ◽  
Internet Of Things Technology

With the rise of cloud computing, big data and Internet of Things technology, intelligent manufacturing is leading the transformation of manufacturing mode and industrial upgrading of manufacturing industry, becoming the commanding point of a new round of global manufacturing competition. Based on the literature review of intelligent manufacturing and intelligent supply chain, a total factor production cost model for intelligent manufacturing and its formal expression are proposed. Based on the analysis of the model, 12 first-level indicators and 29 second-level indicators of production line, workshop/factory, enterprise and enterprise collaboration are proposed to evaluate the intelligent manufacturing capability of supply chain. This article also further studies the layout superiority and spatial agglomeration characteristics of intelligent manufacturing supply chain, providing useful reference and support for enterprises and policy makers in the decision-making.

scholarly journals Research on Pump Product Intelligent Fault Diagnosis System Based on Dig Data

2021 ◽  
Vol 2121 (1) ◽  
pp. 012024
Author(s):  
Yimei Xu ◽  
Xiaoqing Xu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Fault Diagnosis ◽  
Manufacturing Industry ◽  
Big Data Analysis ◽  
Identification Accuracy ◽  
Analysis Method ◽  
Data Analysis Method ◽  
Diagnosis Method ◽  
Fault Diagnosis System

Abstract With the integration of information technology and manufacturing industry and the improvement of equipment monitoring data and computer computing ability, equipment fault diagnosis has entered the era of “big data”. Using big data analysis method for fault diagnosis, the fault diagnosis model can learn its own characteristics and complete fault identification, so that the fault diagnosis is more intelligent and automatic on the basis of high identification accuracy. This paper mainly studies the application of fault diagnosis method and big data analysis method in pump product fault diagnosis.

scholarly journals Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Haifei Yu ◽  
Songjian Han ◽  
Dongsheng Yang ◽  
Zhiyong Wang ◽  
Wei Feng
Keyword(s):  
Big Data ◽  
Manufacturing Industry ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Intelligent Manufacturing ◽  
Future Research ◽  
Cloud Platform ◽  
Actual Problem ◽  
Shop Scheduling ◽  
Digital Twin

The concept of digital twinning has become a hot topic in the manufacturing industry in recent years. The emerging digital twin technology is an intelligent technology that makes full use of multimodels, big data, and interdisciplinary knowledge, which provides some new approaches for the field of the intelligent manufacturing industry. The job shop scheduling problem has been an important research field in the discrete manufacturing industry. Digital twin technology is adopted to solve the problem of job shop scheduling, which provides the possibility for the intelligent development of workshops. Based on digital twin technology and combined with the actual problem of production line scheduling, we propose a new intelligent scheduling platform to solve the shop scheduling problems above. Meanwhile, based on the prediction and diagnosis of multisource dynamic interference in the workshop production process by big data analysis technology, the corresponding interference strategy is formulated in advance by the scheduling cloud platform. The model simulation experiment of intelligent dispatching cloud platform was carried out, and some enterprises in intelligent manufacturing workshop were taken as examples to verify the superiority of the dispatching cloud platform. Finally, we look forward to the future research direction of intelligent manufacturing based on digital twin technology.

scholarly journals Design of Intelligent Manufacturing Big Data Cloud Service Platform

2018 ◽  
Vol 153 ◽  
pp. 08005
Author(s):  
Danlin Cai ◽  
Mingyu Chen ◽  
Daxin zhu ◽  
Junjie Liu
Keyword(s):  
Big Data ◽  
Manufacturing Industry ◽  
Process Management ◽  
Cloud Service ◽  
Intelligent Manufacturing ◽  
Manufacturing Industries ◽  
Ecological Environment ◽  
Industrial Big Data ◽  
Cloud Service Platform ◽  
Big Data Technology

With the coming of the intelligent manufacturing, the technology and application of industrial big data will be popular in the future. The productivity, competitiveness and innovation of the manufacturing industries will be improved through the integrated innovation of big data technology and industries. Besides, products, production process, management, services, new form and new models will be more intellectualized. They will support the transformation and upgrading of manufacturing industry and the construction of an open, shared and collaborative ecological environment for intelligent manufacturing industry.

A Big-data Study of YouTube Comments to Classify Customer Journey Decisions - Proposing a New Exploratory Analysis Method -

2019 ◽  
Vol 16 ◽  
pp. 57-89
Author(s):  
Seonwoo Kim ◽  
Heewoong Ahn ◽  
Yoona Jang ◽  
Minye Hong ◽  
Minji Seo ◽  
...  
Keyword(s):  
Big Data ◽  
Exploratory Analysis ◽  
Analysis Method ◽  
Customer Journey

St. Petersburg industrial policy: Determining the factors of structural changes in industry through Shift-Share Analysis

2020 ◽  
Vol 18 (5) ◽  
pp. 909-939
Author(s):  
M.V. Dement'ev
Keyword(s):  
Industrial Policy ◽  
Structural Transformation ◽  
Mechanical Engineering ◽  
Manufacturing Industry ◽  
Structural Changes ◽  
Analysis Method ◽  
Factor Analyses ◽  
Further Development ◽  
Positive Results

Subject. This article examines the theoretical and practical aspects of the implementation of industrial policy and the structural transformation of the manufacturing industry in St. Petersburg. Objectives. The article aims to justify the priority of the industry-based approach to industrial policy in St. Petersburg and determine its effectiveness by highlighting the factors of structural transformation of the city's manufacturing industry using the Shift-Share Analysis method. Methods. For the study, I used logical, statistical, and factor analyses. Results. Based on shift-share analysis, the study highlights positive results of industrial policy in the development of certain industries in St. Petersburg, as well as those industries that require further development of urban industrial policy. Conclusions. Despite the fact that the industry of St. Petersburg as a whole has become more stable, problems in the development of mechanical engineering and production of computers, electronic and optical products have not yet been solved.

scholarly journals Distribution characteristics of typical geological relics in the Western Sichuan Plateau

2020 ◽  
Vol 12 (1) ◽  
pp. 307-323
Author(s):  
Qizhong Wang ◽  
Zhongquan Li ◽  
Yuan Yin ◽  
Shuang Yang ◽  
Wei Long ◽  
...  
Keyword(s):  
Geological Heritage ◽  
Tibet Plateau ◽  
Analysis Method ◽  
Western Sichuan ◽  
Distribution Rules ◽  
Index Analysis ◽  
External Forces ◽  
Qinghai Tibet Plateau ◽  
First Time ◽  
Tectonic Movements

AbstractThe Western Sichuan Plateau (WSP), located in the eastern margin of the Qinghai–Tibet Plateau, is the most strongly deformed region of the continental crust in China. Frequent tectonic movements shape the unique topography and landform of the WSP and have also produced abundant geological heritage resources. Based on the existing geological heritage survey data in Sichuan Province, the nearest index analysis method of employing a regional spatial point model was used to reveal the distribution rules and the genetic mechanism of typical geological relics in the WSP for the first time. Results indicate that the formation and distribution of geological relics in the WSP are generally controlled by tectonic movement and supplemented by the comprehensive action of external forces such as flowing water. Their distribution shows a condensed spatial distribution pattern and extends along the strike of a fault zone and river strike strip. Finally, based on the characteristics of geological relics in the WSP, some suggestions on the protection and development of regional geological relics were put forward.

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