siemens.com/simatic-it SIMATIC IT Line Monitoring System

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1 siemens.com/simatic-it SIMATIC IT Line Monitoring System siemens.com/answers

2 SIMATIC IT Line Monitoring System Concept, Benefits and Architecture Page 2

3 Business Issue - Facts In this scenario, manufacturers are seeking ways to manage efficiently assets and operations to increase competition in business and maximize their Return on Assets (ROA) Page 3

4 The Paradigm Shift for F&B Manufacturers In the Past Shifted to Present Fixed product portfolio Rapidly changing portfolio Make to stock Make to order Few legal requirements Local market guarantees margin stability Operational visibility limited to plant Cheap energy & few environmental laws Page 4 Many Quality & Traceability obligations Global competition squeezes margins continuously Global benchmarking & continuous improvement High energy costs, & sustainability requirements

5 Plant Performance key to Business Benefits (source AMR Research) Plant Performance Business Objective Reduce Variability Highest Quality (Brand Image) Eliminate Production Waste Lowest Cost Optimize Production Costs Highest Margins Produce to Schedule Increased Agility (Product Availability) Time to First Packed Batch in Control Produce to Specs, Ability to Manage Change Conformance to GAMP, HACCP Effective New Product Development Expanded Customer Base Reduced Cost of Compliance Organizational Effectiveness Sustainable Competitive Advantage Page 5

6 Plant Performance key to Business Benefits (source AMR Research) Plant Performance Reduce Variability Eliminate Production Waste Optimize Production Costs Produce to Schedule Time to First Packed Batch in Control Produce to Specs, Ability to Manage Change Conformance to GAMP, HACCP Page 6 Organizational Effectiveness

7 Many Operational Levers must be tuned in order to Optimize Plant Performance Operational Levers Accurate Corporate Specs Transfer / Transformation of Specs to plant Adjustment of Recipe based on Raw Material Quality Correct Allocation of Recipe to Order Plant Performance Reduce Variability Eliminate Production Waste Optimize Production Costs Produce to Schedule Page 7 Well Maintained Machines Adherence to Quality Procedures Use of closed-loop SPC Inventory Control & Material Validation Time to First Packed Batch in Control Produce to Specs, Ability to Manage Change Conformance to GAMP, HACCP Organizational Effectiveness

8 There s a lot of software that can help Where to we start? In order to truly optimize plant performance, a significant set of software solutions must be deployed Genealogy Material Mgt SAP Integration Not only is this expensive for an initial investment, but it is a premature move unless the fundamentals of plant operations have been measured and the slack taken out of manufacturing Plant Scheduling Maintenance Mgt Recipe Mgt Reduce Variability Quality Mgt Page 8 Energy Mgt Material Flow Control

9 Overall Equipment Effectiveness (OEE) is a Key First Step to Continuous Improvement The KPIs generated by an OEE package deliver a wealth of actionable information with minimal effort Good indication of how well maintenance & operational procedures are coordinated Machine Performance Quality Rate Machine Availability Good indication of resource scheduling & logistics in the plant Good indicator of how well operational & quality procedures are coordinated Page 9

10 By Measuring Overall Equipment Effectiveness Machine Performance Quality Rate Machine Availability Total Production Target Production Scrap Produced Total Production Operating Time Planned Production Time Good Counter Bad Counter Status Time Model Reason Codes Page 10 Production Context

11 By Measuring Overall Equipment Effectiveness Meantime Between Material Stops Time lost Due to Material Stoppages Speed lost due to Under Utilization Guilty Machine Frequencies Meantime Between Changeovers Changeover Duration Meantime Between Failures Meantime to Repair Machine Performance Quality Rate Machine Availability Total Production Target Production Scrap Produced Total Production Operating Time Planned Production Time Good Counter Bad Counter Status Time Model Reason Codes Production Context Page 11

12 SIMATIC IT Line Monitoring System (LMS) functions and components Business Report Modular Reports KPI Editor management WinCC 7.3SE Graphical pages Production Events & Alarming management Equipment real time data / status / KPI Support for root cause analysis Production Performance Integrate data from 3 rd party Long Term Archiving OEE & SCADA Reporting Operational Reports Page 12

13 SIMATIC IT Line Monitoring System Level 4 Corporate Layer SIMATIC IT Intelligence Suite Level 3 Plant MES Layer 3rd Party System ms Integration Data Functionalities User Interfaces SIMATIC IT LMS Data Functionalities User Interfaces SIMATIC IT Reporting Framework Data Functionalities User Interfaces SIMATIC IT Production Management SIMATIC IT Production Suite ( Framework & Components )..... Data Functionalities User Interfaces SIMATIC IT Level 0,1,2 Plant Control Layer SIMATIC WINCC 3 rd Party 3rd Party SIMATIC S7 MCIS PLC SCADA 3rd Party Device SIT solution Siemens product 3 rd party Page 13

14 SIMATIC IT...with Production Management in Full MES Solutions Level 4 Corporate Layer SIMATIC IT Intelligence Suite Level 3 Plant MES Layer 3rd Party System ms Integration Data Functionalities User Interfaces SIMATIC IT LMS Data Functionalities User Interfaces SIMATIC IT Reporting Framework Data Functionalities User Interfaces SIMATIC IT Production Management SIMATIC IT Production Suite ( Framework & Components )..... Data Functionalities User Interfaces SIMATIC IT Level 0,1,2 Plant Control Layer SIMATIC WINCC 3 rd Party 3rd Party SIMATIC S7 MCIS PLC SCADA 3rd Party Device SIT solution Siemens product 3 rd party Page 14

15 A new approach for new MIS scenario Integrated SCADA / MIS functions WinCC 7.3SE used for GUI s design KPI and target driven production KPI analysis support Main plant challe enges... Centralized reporting and data storage Centralized monitoring High data analysis volume Large amount of stations PLC Alarms and messages analysis Automatic data collection from different LMSs Supervisor screens for entire plant monitoring Drill down to WinCC SCADA station Native scalability to full Manufacturing Intelligence Distributed data acquisition and data archiving Machine status and alarms contextualization... solv ving approach Multicultural human resource Native Localization support Potential network fail Local data buffering (distributed architecture) Page 15

16 Different scope of Scalability SIMATIC IT LMS 2.2 is targeted mainly at end customers with medium / high MIS requirements It is already prepared for upgrading MIS functionality to a full MES system Scalability over Functional Scope: from OEE, Reporting, up to complete ISA-95 FULL MES Scalability over Multiple Areas: from LMS on 1 Line, up multiple LMSs over Multiple different Lines in various Plant Areas Scalability on Visibility Levels and Data Management: from Line-Level LMS Reporting, up to Plant-Level Integrated MES Reporting, up to Enterprise-Level Manufacturing Intelligence Page 16

17 Scalability over Functional Scope Station 1 Station 2 Station... n Multiple users LMS SIMATIC IT Reporting Framework SIMATIC IT LMS SIMATIC WinCC PLC Interface Equipment 1 Equipment 2... Equipment 5 Equipment 10 Equipment 20 Equipment 50 Equipment Equipment n Page 17 Equipment Equipment scalability scalability SIMATIC IT LMS 2.2 licensing starts from 5 Equipment items up to 3.000

18 Scalability over Functional Scope ERP Interface Load-In Warehouse Mgt Primary Production Mgt Tank Farm Mgt Secondary Production Mgt SIT Reporting Framework Integrated Quality Mgt SIMATIC IT Platform SIMATIC IT Reporting Framework SIMATIC IT LMS SIMATIC WinCC PLC Interface Equipment 1 Equipment 2... Equipment n Page 18 from MIS and local SIMATIC IT Reporting Framework to a centralized SIMATIC IT full MES

19 Scalability on Visibility Levels and Data Management ERP Interface Global Dashboards and Scorecards Manufacturing Intelligence Load-In Warehouse Mgt Primary Production Mgt Tank Farm Mgt Secondary Production Mgt SIT Reporting Framework Integrated Quality Mgt SIMATIC IT Platform SIMATIC IT Reporting Framework Reporting on Multiple ISA 95 Functionality MES Integrated Reporting SIMATIC IT LMS SIMATIC WinCC PLC Interface Real Time Line Reporting LMS on OEE/Downtime and Energy Equipment 1 Equipment 2... Equipment n Page 19 Scalability: up up to to Enterprise-Level from Plant-Level Line-Level Integrated LMS Manufacturing Reporting MES Reporting Intelligence......

20 SIMATIC IT Line Monitoring System Features and Benefits Page 20

21 Manufacturing Information System: Main Functions Visual representation of manufacturing plant status in real time (WinCC 7.3SE and WinCC Web Navigator) Fat and web clients are supported for SCADA/MIS information OEE KPIs for individual machines or larger lines Shift Calendar integration Reporting functionalities done using Microsoft standard products Key Benefits: Increase production plant availability View the status of the entire production plant Identify weak spots in the production system Availability of detailed pre configured graphical pages, KPI s and reports about the production plant Dramatically reduce effort and risks in MIS projects Page 21

22 Overall Equipment Effectiveness Optimized production at any time Calculation of all standard & custom KPIs Downtime Management and Analysis support Line Operator production monitoring and manual data input Active and corrective actions (MES integration) Line Supervisor in time analysis Data contextualization with the MES production data Root Cause Analysis at line level Shop floor and ERP integration (MES integration) Page 22 High Availability, Performances, and Quality the everyday targets in our plants

23 Overall Equipment Effectiveness: Configuration Equipment Model Definition Time Model Declaration Machine State List States & Levels Reason Tree Counters / Design Speed Standard and Custom KPIs algorithms Equipment Attributes Management: Counters Acquisition Page 23 Easy and flexible engineering phases

24 Overall Equipment Effectiveness: Monitoring and Management Out of the box web operator screens Touch Screen interface Short term performance check State declaration Unknown stoppage justification Production control compared with targets and actual state visualization Plant / Line / Equipment navigation Equipment runtime status Page 24 Production monitoring with dedicated graphical components

25 Overall Equipment Effectiveness: Analysis Downtime Management detailed information about equipment states can be displayed and updated Downtime Analysis exploring the causes that have generated a production breakdown Production Counter Analysis current production can be compared with theoretical production On-the-fly OEE calculation line or equipment OEE calculation for hour, shift, or daily analysis Page 25 A contextualized analysis against manufacturing events

26 Overall Equipment Effectiveness: Benefit Providing decision support based on real time information Reducing downtime and rate losses by increasing / maximizing asset utilization Optimizing product quality grading process Improving operational cost control to increase plant reliability, optimize equipment utilization and maximize energy and labor efficiency Reducing maintenance costs by increasing plant availability and maintenance efficiency and by optimizing planning activities Improving economic Return on Investments (ROI) Page 26 SIMATIC IT LMS 2.2: the key component in your productivity toolbox!

27 Reporting Framework: Data Model views The Data Model Views will allow Operational Reports to access historical data as well as real time data Operational Reports Analysis Layer Reporting Services Reporting Builder MS Excel Business Layer Data Model views Operational Reports are predefined reports that can be used as building blocks to develop more complex reports. Physical Data Model Page 27 Data Model Views consist Scalability: of a set of virtual tables that expose SIMATIC... up to IT from Plant-Level data Line-Level with a a Integrated specific, LMS library Reporting MES oriented, Reporting... semantic...

28 Reporting Framework: Data Model views The Report Parts, already organized and structured in specific entities (Downtime info, algorithm, shifts, etc.), can be used to create custom reports with a standard Drag & Drop action and quickly parameterized Different levels( Production Manager, Maintenance manager, Plant Managers, etc.) can easily generate different reports based on different analysis requirements Page 28 Scalability: Personalized Reports for all users in the Plant... up to from Plant-Level Line-Level Integrated LMS Reporting MES Reporting......

29 Reporting Framework: Analytical Model (Manufacturing Intelligence) The Analytical Model collects measures from the Business Model Views and exposes manufacturing KPIs The Business Model collects most relevant business info from the Data Model and expose them for Business Reporting. Business Reports Providing tools to create visual summaries of the data to alert decision makers and call attention to the most important information of the moment Analysis Layer Analysis Layer Business Model views Business Layer Analysis Tools allows users to perform Scorecards and Dashboards Analysis Tools Provide appropriate analytics that enable users to analyze data across sources and especially across production sites Automate the transfer of the collected data from the plantfloor up to business systems Operational Reports Operational Reporting means detail reports providing constantly updated information. Operational Reports are used by personnel responsible for plant/line operations Data Model views Physical Data Model Page 29 Integration of analytical tools and visualization Scalability: tools makes it possible to monitor data in real time and inform... up appropriate to from Plant-Level Line-Level decision-makers Integrated LMS Reporting MES case Reporting of... non-conforming... accident

30 Manufacturing Intelligence Scorecards & Dashboards Operators, team leaders, production managers Functionality: Collects data from the plant in real-time and integrates it with business and financials KPI calculation, rollup and drilldown Covers all portfolio elements (Production, Quality, Assets, Inventory, Utilities, etc) Provides several levels of reporting: Analytics Excel Export Business Benefits Scalability from the Single Site to the Enterprise Access to corporate data, reports and KPIs via various devices Enables Continuous Improvement in the plant Provides rollup and benchmarking capabilities Page 30 SIMATIC IT Intelligence Suite provides to End Users simple but powerful views on their domain of responsibility

31 SCADA / MIS solutions: SIMATIC IT CAB Portal, Web Navigator for WinCC 7.3SE Web client SCADA / MIS compliant with Microsoft Internet Explorer standards WinCC 7.3SE screens integrated inside the SIMATIC IT CAB Portal Out of-the-box screens for OEE Analysis Drill down to SCADA screens from MIS pages Key Benefits: TCO reduction SCADA / MIS application hosted in the same client machine Easy to deploy graphical interfaces Shorten Time To Market Improve adaptability to change Page 31

32 SCADA / MIS applications: New graphical objects for WinCC 7.3SE Adding a new object through WinCC Explorer, Plant model data are easily browsed and configured. Each object shows its configuration parameters in a WinCC 7.3SE standard way. These MIS functionality can be added to a SCADA graphical page. Through WinCC 7.3SE Runtime all new objects are easily embedded. This allows to have a unique front end completely integrated, with the same look & feel. Page 32 WinCC Explorer as unique front end to configure your screens

33 Centralized Configuration: Engineering New integrated engineering environment Object oriented template based approach Easy to configure custom Equipment Models Catalog Supported XML/Excel configuration for large size projects Key Benefits: Support for the end user autonomous application parameterization (e.g. modification of plant structure adding new Equipments) Allows you to build an easily maintained plant model Reduce development mistakes and risks Extended application reusability in different projects Page 33

34 Alarms & Production Messages: Management and Monitoring Association of Alarms & Production Messages with machines status Support for root cause analysis Down Time justification extended to root cause alarm Graphical user interface for Alarm statistical analysis Centralized monitoring of active Alarms Key Benefits: Empowered root cause analysis extended to equipment subcomponents Centralized Alarms Reporting Easily configuration of machine state calculation logics Page 34

35 SIMATIC IT Line Monitoring System Technical information Page 35

36 Line monitoring and controlling WinCC integration Main Functionalities: Visual representation of the production line status via WinCC screens Real Time data monitoring integrated with KPIs and historical data visualization through seamless navigation between SIMATIC IT pages and WinCC screens (by means of WEB Navigator) Data collected locally are sent to the centralized Server for global reporting, data analisys and long term archiving Key Benefits: View the status of the production line Identify weak spots in the production system Increase the availability of the production line Obtain statistical reports about the production line Line ramp-up phase support Native integration with SIMATIC IT Intelligence Suite Page 36

37 Line monitoring and controlling Drill down from Supervisor screens Main Functionalities: CAB pages are accessible from the WEB clients at plant level so to provide an high level view on the production line including production data, KPIs and alarm monitoring By clicking on the plant area affected by the problem, the operator can drill down and drill through until reaching the WinCC screens (locally installed on the line PCs) WinCC screens are in read-only mode so to prevent any unauthorized operation at line level Key Benefits: Full monitoring of the production system according to top-down approach No overload of line PCs because the monitoring data are accessed from the centralized system No need to duplicate detailed screens available on the line PCs Any detail level accessible when necessary Page 37

38 Line monitoring and controlling with CAB Portal screens Main Functionalities: Calculation of standard and custom KPIs Downtime Management and analysis support Integration with LMS Message management Key Benefits: Decision support system based on real time information Operational cost improvement thanks to high plant reliability, equipment utilization optimization Improved ROI Page 38

39 LMS Modeling concept main driving factors Simplify the configuration activities Common and consistent data model Object oriented configuration paradigm Unified configuration environment Enforcement of referential integrity checks Automatic Process image (RTDS) configuration Support project specific customization Data model extension Massive data import through unified XML/Excel files Easy implementation of simple configuration environments oriented to the Customer Support RT configuration update Page 39

40 LMS Modeling concept Key concepts Common equipment structure meta-model Plant structure containing the hierarchical list of equipment Any common characteristic of equipment instances can be grouped in equipment models Configuration data are grouped according to their function Configuration data related to a given characteristic of the equipment model are grouped together (e.g. Configuration of production counters, Process value archiving parameters, ) Equipment instances configuration is created on the basis of the configuration data defined in the associated equipment models Further equipment instance specific configuration data can be added at any moment Data Preprocessing functions can be associated to the Process values Equipment models and Data Preprocessing functions are grouped in Libraries which can be easily reused in different projects Page 40

41 LMS Modeling Logical configuration model Project Plant Structure Eqpm Model Library DE method Library OEE General Registry Equipment Instance OEE Reason Tree OEE STT Eqpm Model Process Value Custom Attribute DE method Process Value Instances OEE Algorithms DE method parameter Data mapping Page 41 Alarm Registry Data archiving configuration (PPA) Alarm & messages configuration OEE Config (CNT, DTM, DSP) NOTE: Inherits configuration from the correspoding Equipment Model

42 LMS Modeling Definition of Equipment models Each equipment model describes the common characteristics of a given type of equipments Equipment Models are grouped in Libraries The Eqpm. Models belonging to the same library share some common characteristics Eqpm Model Library Equipment models OEE Station model OEE Machine model Machine_Status: scalar Counters[0]: Good Counters[1]: Scrap Counters[2]: Total Cycle_time[0]: design Cycle_time[1]: actual Alarms[]: Boolean Machine_Status: scalar Counters[0]: Total Alarms[]: Boolean DE method: AlarmToStatus() DE method: BoolAlarmDetection() AlarmToStatus() param: Priority: int DE Function: AlarmToStatus2() DE Function: BoolAlarmDetection() Page 42

43 LMS Full configuration generation Full configuration generation: The plant model contains the equipment list Each eqpm is associated the one or more Eqpm models Full Plant model configuration is generated merging the configuration data defined in the Equipment models with the Plant model Equipment models: OEE Station model Plant Structure Eqpm. Model Library Equipment models: OEE Machine model Config. merge OEE Station model OEE Machine model Common configuration tool Configuration data for connecting equipments data and functions to the control layer Common configuration data Page 43

44 LMS Configuration syncronization One configuration point Config. data synchronization Configuration data integrity XML configuration files Compatible with Excel Extensible structure a LMS Common Engineering GUI SHC Config. data Maintenance Config. data Common Configuration data RTDS Config. data TAGs configuration OPC client config. Equipm. config Reason tree Detailed machine model Charts configuration Reports OEE Config. data TAGs config. (for trends) PPA Config. data PPA Plant Model DE Config. data BPM Parameters for automatic generation of DE tasks: Message generation Equipm. Status calculation Thresholds evaluation Virtual Units (equipments) Messagies Config. Page 44

45 LMS Modeling Configuration data management The configuration data are accessible via: Configuration GUI Small projects, configuration review, limited modification to existing configuration Massive configuration data import tool XML/Excel files imported by LMS Page 45

46 LMS What s new comparing with previous 2.0 version 1/6: Centralized configurator New look & feel according to Microsoft Office standards (enhanced usability) Performance enhancements support of up to 3000 Equipment OEE relevant Integration of PPA tags configuration (model based and Equipment instance based) Integration of data mapping configuration (model based and Equipment instance based) Integration of DE function configuration (parameter binding) Integration of Production Modeler attributes configuration Integration of LMS status control functionality Extension of OEE configuration: Write Back and Control calculation refresh rate, Equipment position order, UOM browsing, Scheduled algorithms Support for Equipment deletion Support for Equipment model libraries import/export Direct access to the configuration on LMS DB (Equipment Model mode) Multiple OEE equipment models associated to the same equipment instance Plant structure import via file (incremental import supported) Export of LMS plant model to production Modeler (upscaling scenario support ) Enhanced diagnostic in order to detect configuration errors Page 46

47 LMS What s new comparing with previous 2.0 version 2/6: Data Engine Support of explicit association of C functions to Process Values Support for OEE raw data generation (custom C code required) Support for PPA Context data generation (custom C code required) Support of process variables not mapped in RTDS Support of global C variables Support of user defined events generation Enhanced support for custom alarm management logics (less custom code necessary) Support of drill-down navigation in the Plant Model from C functions Page 47

48 LMS What s new comparing with previous 2.0 version 3/6: Alarm and message Management Support of logical and physical data deletion of alarm descriptions Support of custom programmatic logics for configuration of alarm registry (public APIs) Support of very high number of configured alarms (up to , 2 languages, 80 char lenght) Support of high number of Active alarms viewers distributed on the network Alarm Graphical Controls Support of connection to multiple LMS instances from the same WinCC screen Public scriptable APIs for programmatic interaction with the graphical controls from WinCC script Support for configuration of visible columns and related order Custom filters support on Active alarm viewer Miscellaneous Configuration import and synchronization Performance enhancements for proper support of huge configurations PPA enhanced thresholds management (support of 2 and 4 thresholds both static and dynamic) PPA Trend Viewer support of 4 thresholds (both static and dynamic) Page 48

49 LMS What s new comparing with previous 2.0 version 4/6: WinCC integration Support of both WinCC 7.2 and 7.3SE Automatic configuration of PV acquired by Data Manager (RTDS data mapping + DM external tags) Support of OEE Write backs on array Support of Write back for any PV (e.g. For PV calculated by DE functions) Support of user defined logic for generation of Data manager tag name Optimized data mapping for PV acquired by Data Manager (on Advise management, Array of Scalar) Support of on data change trigger of DE functions for PV acquired by Data Manager Page 49

50 LMS What s new comparing with previous 2.0 version 5/6: WinCC integration Control calculation dedicated to OEE graphical controls (reduced load on OEE Server) RT caching of control calculation and current status for OEE graphical controls KPI calculation update in case of working shift disabling/enabling Current equipment status evaluated in any OEE calculation which involves machine state Configurable cycle time for control calculation and write back Shift Calendars breaks processed as dedicated time categories Support of new data types for custom fields (Short and Float) Automatic conversion of Cycle time in speed (direct acquisition of cycle time data) Support for direct OEE raw data input via Data Engine Support for calculations which involve very huge raw data quantities (optimized memory usage) High performance enhancements in data archive and KPI calculation thanks to several improvements: Refactoring of data archive and data retrieving subsystems Refactoring of calculation engine Optimized recalculation of OEE KPI invalidated by modification to archived OEE raw data Page 50

51 LMS What s new comparing with previous 2.0 version 6/6: WinCC Graphical Controls Support of connection to multiple LMS instances from the same WinCC screen New control for connection status diagnostic Integration of standard colors and font pickers in all widgets Public scriptable APIs for OEE KPIs data access from WinCC scripts Public scriptable APIs for access in RD/WR mode to DTM record from WinCC scripts (Justification) Support for Alarm justification management New control for CTR records Public scriptable APIs for access in read / write mode to CTR record from WinCC scripts New control for Induced Downtime records Run time performance enhancements Public scriptable APIs for access and filter Equipment Tree Control Extension of time interval to the previous shifts (with limitation on the max number of shifts in the past) 5+1 Languages support Page 51

52 LMS 2.2 main limitations Engineering features: Some OEE registry data still to be configured in OEE: Reason tree, State Transition Tables Custom Algorithms Charts The equipment instances cannot be associated to equipment models belonging to different libraries Equipment instance configuration cannot be extended adding PVs not defined in the associated equipment models No equipment renaming support (the equipment must be replaced with another one) No one click procedure for managing Backup and Restore of a complete LMS project (included CAB screens) Some documented manual steps must be executed Page 52

53 SIMATIC IT LMS and SIMATIC IT Production Suite Line Monitoring System Production Suite Reporting Framework LMS 2.2 V6.7SP1 HFC2 2.2 SP2 Operating System Data Base Web Browser MS Windows Server 2008 R2 SP1, 2012 R2, 7 and 8 (64 bit (versions) MS SQL Server 2012 Microsoft Internet Explorer 8, 9, 10 and 11 (only in Enterprise Mode) Page 53

54 Business Use Cases LMS 2.2 New Configuration Paradigm LMS 2.2 Classic Configuration Paradigm Brand new project Version upgrade of existing project from SIT 6.5 * Upgrade of existing project from LMS2.0 * Project needs rework Page 54

55 Thank you for your attention! For more information, please, visit our website: For more information, please contact: siemens.com/answers Page 55