Expert Day. Benjamin Abraham. Manufacturing IT Migration. Business Development & Sales

Transcription

1 Expert Day Manufacturing IT Migration Benjamin Abraham Business Development & Sales Business development and enabling for Manufacturing Operations Management Branch experience in discrete industry - semiconductor, electronics, automotive Key Account Management in Semiconductor Industry Partner Management with SYSTEMA product partners

2 Big Data - reporting and analysis for future demands Benjamin Abraham, Senior Manager, benjamin.abraham@systemagmbh.de

3 AGENDA What are Big Data in manufacturing Consolidation of heterogeneous database landscapes In-memory computing & predictive analysis Examples

4 The times are changing Finding gold in manufacturing operations Kalgoorlie Super Pit, Australien 2009 (3.8 km x 1.5 km x 600m)

5 In-memory computing and big data Technology that allows the processing of massive quantities of real time data in the main memory of the server to provide immediate results from analyses and transactions Big Data Metrology data Quality data Material movements Tracking data Equipment data Process data

6 Future reporting demands Collection of big amounts of production relevant data Real time analysis and decisions can increase the efficiency and benefit significant Optimizing KPIs and producing quality Ad hoc analysis with the free choice of analysis parameters for complex correlations Standard SQL databases are to slow and system consuming for complex ad hoc analysis

7 The reporting reality Legacy systems are reaching end-of-life Complex system landscapes with highly customized solutions -> high TCO DWH solutions for big data doesn t support real time and ad hoc analysis Custom interfaces between (ETL) data bases and reporting app

8 The Reporting reality ERP Mes Reporting Production Reporting QM Reporting ERP Reporting Engineering Reporting Tracking - DB MES-DB QM-DB Process-DB EI Scada Worker Paper

9 Reporting Consolidation Standardization of business process Standardization of business process scenarios Top management commitment/support Calculation models for E10, OEE, cpk Harmonization of IT landscapes (reporting) Open Reporting platform (data sources) Scheduled reporting, Ad-hoc, mobile Affordable TCO Big data in memory computing High speed data acquisition In-Memory calculation Online Reporting and ad-hoc analysis

10 BObj as fully integrated BI Platform SAP Business Objects Predefined & Customer defined report templates, multi-site Universes SAP ME SAP ERP ODS BW Access MSSQL Oracle

11 Business Objects Intelligence Platform Dashboards BO Explorer Web Intelligence Mobile Reporting Alarm notification Dynamic Exception handling

12 Data acquisition for SAP HANA Data acquisition (event driven, parallel processing) Connecting of numerous sensors, equipments and data bases with out of the Box interfaces Databases: MAXDB, SAP HANA, MSSQL, ORACLE Connecting via TCP/IP, JSON, AtomXML,. Web service calls Implementing new interfaces is supported Data preprocessing Temporary intermediate storage Data aggregation Calculation of correlations for multiple input signals Data preselect based on criteria's Event notification

13 Data acquisition for SAP HANA Reporting Analytics Sybase Event Stream Processor Massive parallel data capture, Industrie 4.0 SAP LT Real time data replication, asynchronous Real time response

14 Real time data processing SAP HANA In memory and column oriented Application server Parallel optimized calculation No HDD Bottleneck HDD Fast calculation Optimized Algorithms PAL (predictive analysis library) BFL (business function library) R-Statistic functions Optimized Data models and view Attribute, Analytic and Calculation Views

15 HANA Development environment

16 Examples for the usage of HANA On-Line SPC Fast reaction to production impacts On-Line OEE and KPI s Early warning, corrective actions Detailed technical analysis on big data Predictive Maintenance und Forecasts Connect mobile tools for reporting und analysis Calculation of VDMA-Benchmarks

17 Example Forecasting with HANA

18 you When will take advantage of in-memory computing and a comprehensive real-time reporting?