Manufacturing data Management under "Industry 4.0"

Manufacturing industry is the pillar industry of China's national economy, the leading sector of economic growth and the basis of economic transformation.

From the perspective of enterprise information management, China's manufacturing enterprises informatization level is relatively low, integrated application restricts the enterprise's business capability, resulting in extensive manufacturing reform slow, supply chain, industrial structure is unreasonable, resulting in overcapacity.

Modern manufacturing requires orders from enterprises - supply - The value chain of the flow of information, Dunan Environment as a representative of modern manufacturing, in the information construction has achieved considerable development, Enterprise Informatization Department ERP/SCM/CRM /mes

However, the correlation between these information systems is not enough, the management of the group cannot intuitively grasp the operation State of the enterprise through the data information, and can not simply and effectively observe the reaction caused by a strategy change. Managers of different processes at the grassroots level will not be able to make production and operation adjustments in real time based on visual data: for example, production managers can monitor productivity and plan capacity and optimize resources from key performance indicators (KPIs) such as production time, capacity utilization and resourceutilization. Quality Management Manager can improve product quality through defect analysis, and senior management can improve ROI by more effective control of cost and expense analysis.

These troubles also to a certain extent, the Shield security Environmental Enterprise informatization of the last kilometer forward weakness.

Facing challenges

1, the enterprise's various information systems are independent of each other, the data are not linked, but from the whole enterprise angle of shield security, is interconnected, managers in the decision-making must also use the aggregate data from the system, the traditional practice is from the system when down, with Excel Summary, Low efficiency and error prone.

2, more data, less information. The information in the current report is too singular to form a comprehensive understanding of the entire business process. Managers must take five or six reports, unable to perform dynamic multidimensional Analysis, perspective analysis, or take the assigned model operations, to get decision information.

3, the enterprise chain is extremely long, the reaction in the BI application, each chain node data relations can get through, provides the real-time monitoring and the early warning, guarantees the material supply, the production line work, the quality inspection, the sale and the logistics distribution circulation good writing.

Data management solutions:

1 , consolidate data, classify management by Business topic

The Business intelligence solution Finebi supports multiple data source connections, common relational databases, JNDI,ODBC data sources, program data sources, and SAP series data warehousing tools. And through the ETL tool, the data cleaning operations, add columns, row and column conversion, read data field escape, and then extracted to the Data Warehouse Finecube, and can set the full amount of cube, increment, real-time update and so on.

Collated data is managed according to business topics, read data associations, and prepare data better for business services.

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2 , provide fully visual report output, OLAP Multidimensional Analysis, to help business units to save costs, optimize production line management

finebi The analysis of the container and dashboard into one, in the analysis of the container, The analysis of the Dunan environment requires only the flexibility to select queries, filters, chart controls, and drag data columns to quickly generate reports. And can add calculation indicators, formula indicators, add drag-and-Drop data column fields, to achieve drilling, linkage, dimensional analysis, and set up early warning conditions.

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  2 optimize line management

Finebi analysis of the container and dashboard into one, in the analysis of the container, the analysis of the environment of Dunan only need to flexibly select query, filter, chart control, drag data column can quickly generate reports. And can add calculation indicators, formula indicators, add drag-and-Drop data column fields, to achieve drilling, linkage, dimensional analysis, and set up early warning conditions.

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Optimize line Management

Decision makers at different processes in the plant have access to real-time data and access to different reports. Production managers can monitor productivity and plan capacity and optimize resources from key performance indicators such as production time, capacity utilization and resource utilization; Quality Management Manager can improve product quality through product defect analysis, and senior management can improve ROI by more effective control of cost and expense analysis.

Manufacturing data Management under Industry 4.0