Digital Enterprise - Digitalization of the Entire Industrial Value Chain

Transcription

1 Digital Enterprise - Digitalization of the Entire Industrial Value Chain Atos Lahti17 Event siemens.com

2 DIGITAL ENTERPRISE Drivers Speed Flexibility Quality Efficiency Security DF PL DS

3 DIGITAL ENTERPRISE Integrating and Digitalizing the Entire Value Chain DF PL DS

4 PRODUCT DESIGN Design with Integrated Rich Product Information Product Design: Mechanical product design is made using integrated CAD/CAE/CAM software Value: Rich product definition is integrated into the design i.e. Bill of Material, geometry, material specs, manufacturing features, quality, tolerances etc. Embedded product information can be utilized at a later stage of the digital value chain DF PL DS

5 PRODUCT DESIGN Design with Integrated Rich Product Information Product Design: Mechanical product design is made using integrated CAD/CAE/CAM software Value: Rich product definition is integrated into the design i.e. Bill of Material, geometry, material specs, manufacturing features, quality, tolerances etc. Embedded product information can be utilized at a later stage of the digital value chain DF PL DS

6 PRODUCTION PLANNING Virtual Validation of the Production Process Process Planning: 1. Definition of the process sequences (Bill of Process) 2. Production line layout design 3. Simulation of critical process steps 4. Optimization and bottleneck elimination Value: Process is optimized and validated in the virtual world before investing in resources DF PL DS

7 PRODUCTION PLANNING Virtual Validation of the Production Process Process Planning: 1. Definition of the process sequences (Bill of Process) 2. Production line layout design 3. Simulation of critical process steps 4. Optimization and bottleneck elimination Value: Process is optimized and validated in the virtual world before investing in resources DF PL DS

8 PRODUCTION ENGINEERING Virtual System Commissioning Production Engineering: TIA Portal framework for complete automation design PLC SIM Advanced standalone software for simulating the automation system operation Value: Virtual Commissioning validates the integrated operation of the process, mechanics and the automation system 30-40% time savings in electrical engineering and PLC programming DF PL DS

9 PRODUCTION EXECUTION Monitor & Coordinate the Entire Production Process Production Execution: MES/MOM solutions Order scheduling Reporting & quality execution Order execution Value: Process transparency and traceability that covers the entire value chain Optimized efficiency & quality DF PL DS

10 SERVICES Cloud Based Analytics Feedback for the Digital Twin MindSphere IoT Ecosystem: Fast and secure data collection to the cloud MindApp analytics on the IoT platform from Siemens and Partners Value: Open standards for secure connectivity of Siemens and 3 rd party products Utilization of out-of-the-box MindApp analytics to create data driven services Feedback of operations data to nurture the digital twin DF PL DS

11 DIGITAL ENTERPRISE The Vision Comes to Life Use Simulation to achieve foresight in the Virtual World Use Smart Data Analytics to gain insight and drive continuous improvement Drive intra-company and supplier collaboration via data integration DF PL DS

12 DIGITAL ENTERPRISE Drivers Speed Flexibility Quality Efficiency Security DF PL DS

13 Plant Security Services Plant Data Services Unrestricted Siemens AG 2016 siemens.com/plant-security-services

14 Pohjolan Voima (PVO) IEC assessment to patch cyber security gaps Existing system does not meet modern cyber security standards Challenge No regular updates of routines in the old systems when new systems have been deployed Avoidance of intentional and unintentional malfunctions caused by security threats Protection against phishing of valuable information and espionage Deploy the assessment to identify security gaps and measures for risk mitigation based on IEC Solution Investigation of the system s technological cyber security properties (e.g. user and access management, operation logs, level of back-up procedures, data encryption) Analysis of cyber security processes and instructions, such as the ability to react to threats Profile Pohjolan Voima was established in 1943 and produces electricity and heat to its shareholders with hydropower and thermal power. Customer benefit Different perspective than in-house assessments through an external expert Compliance with security requirements set for the business Achieving the desired higher maturity level of Industrial Security

15 Plant Security Services Complete service portfolio aligned with Risk Management methodology Assess Security Evaluation of the current security status of an ICS environment Manage Security Comprehensive security through monitoring and proactive protection Implement Security Risk mitigation through implementation of security measures for reactive protection

16 Process Data Analytics Improving Process Effiency Unrestricted Siemens AG 2016 siemens.com/process-data-analytics

17 The challenges within the process industries only 50 % of control loops are well tuned 1) Optimized control loops save you money without new investments Control Loop Monitoring of all control loops adds value to your process control system 1) Source: Control Engineering

18 Potential negative impacts into operation Non optimized control loops generates (not limited to) Bad quality products Energy and material losses Reduced equipment availability Because the system can t reach or keep nominal process values With undesired process variations, and unnecessary operator interferences With high variability in actuators (valves, pumps, motors) to keep process set points - stiction

19 Control Perfomance Analytics A cloud-based Service Process plant with PCS 7 DCS PDA data collector Process plant with 3rd party system csv.format Secure connection SIEMENS Implementation of suggestions Transparency Quality Optimization Reports & suggestions Customer Consultants reports & expert consulting Support by process experts

20 Reference cases for Control Performance Analytics Who bought it What industry Highlight Production Manager Fiber, 50 Loops We could show that 86% of the loops where not optimized, and could detect stiction Plant Manager Pharma, 76 Loops We were able to detect why one motor had repetitive failures, causing unplanned downtime Automation Manager Chemicals, 53 Loops 71% of the control loops are in bad condition. 7 loops could not control at all.

21 Live Demo

22 We are driving the Digital Enterprise together with our customers Teemu Pajala Director Plant Data Services, Nordic Countries Tarvonsalmenkatu Espoo Phone: siemens.com Restricted Siemens AG 2016 Driving the Digital Enterprise for discrete industries