Digital Asset Management Improving reliability and maintenance with proactive, smart solutions

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Digital Asset Management Improving reliability and maintenance with proactive, smart solutions Anoop Srivastava, Senior Director( Energy and Natural Resources), Industry Value Engineering, SAP ~EMEA(South) May 1, 2018

Disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. Except for your obligation to protect confidential information, this presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or any related document, or to develop or release any functionality mentioned therein. This presentation, or any related document and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this presentation is not a commitment, promise or legal obligation to deliver any material, code or functionality. This presentation is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This presentation is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this presentation, except if such damages were caused by SAP s intentional or gross negligence. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions. 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 2

Agenda 1. Asset Trends 2. SAP Solution Portfolio: Digital Asset Management (i) Asset Strategy and Performance Management (ii) Asset Intelligence Network (iii) Predictive Maintenance and Services 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 3

Asset Management Trends Transformation to digital connected assets Yesterday Standalone and isolated assets Untrusted & disparate asset information Limited analytical capabilities Reactive maintenance Disconnected systems and lifecycle Selling equipment Traditional OPEX-based planning Paper-based work instructions Optimized for physical structure Now Connected and smart digital twins Collaborative single source of truth Real time analytics with simulation Prescriptive maintenance Closed loop product and asset lifecycle Pay-per-use / Equipment-as-a-Service Asset criticality based maintenance strategy Smart work instructions with 3D visualizations Mechatronics / Software in products/assets Pay per use Digital Twins and 3D Visualization 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ CUSTOMER 84

tactical to strategic Maintenance Strategies Decide on Strategies Holistic Enterprise Asset Mgmt Maintenance strategies are getting more sophisticated Integrated Information Big Data Few Data fragmented to integrated Source: Gartner (modified) 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 85

Digital Asset Management

The digital twin transforms the collaboration between manufacturers of products and operators of assets Manufacturer Operator Design Plan Retire Product Produce Dispose Asset Acquire Service Deliver Operate Deploy 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ CUSTOMER 87

Integrated applications supporting holistic asset management Management of Change Maintenance Planning and Scheduling Asset Strategy and Performance Asset Information Governance Digital Core Digital Innovation Asset Information Collaboration Health and Safety Management Maintenance Safety and Permit to Work Maintenance Execution SAP Hybris SAP SuccessFactors Concur SAP Fieldglass SAP Ariba Internet of Things Machine Learning Big Data Modern Analytics Blockchain Data Intelligence Predictive Maintenance and Service Mobile Asset Management Environment Management Incident Management SAP HANA SAP Cloud Platform 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 8

SAP Digital Connected Assets Networked best-of-breed applications providing high end-to-end business value for key stakeholders Mode 1: System of Record Mode 2: System of Differentiation Bi-Model Architecture for a Next Generation Asset Management Maintenance Management S/4HANA Efficiently manage Core Processes in Maintenance Management Integration Predictive Maintenance & Service Asset Strategy & Performance Asset Intelligence Network SAP Leonardo IoT for Asset Management Collaboration Platform Network Digital Twin for Structural Dynamics IoT-Platform Sensor/Big Data, Prediction, ML Quarterly Innovation Cycles Mode 1 Core Maintenance Management: Corrective, emergency and preventive maintenance execution via notification and order processing in an integrated system (finance/controlling, procurement, inventory mgmt., ) Mode 2 Innovate in Asset Management: Bring technology innovation into asset management Asset Intelligence Network Collaborative asset management bringing key stakeholders (operator, OEM, service providers, ) together in a digital ecosystem solving complex execution, predictive and planning activities with centrally managed asset information Predictive Maintenance & Service Predict maintenance events to subsequently predict business processes for operational excellence (planning, procurement, scheduling, execution, ) lowering risk and improving asset availability Asset Strategy & Performance Define and plan maintenance execution strategies holistically (insight/foresight; insights form network) for improved performance Digital Twin for StructuralDynamics Model and visualize the physical structure of an asset for realtime calculation of stress and fatigue to drive predictions 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 9

Solution Overview Engineering Systems SAP Asset Intelligence Network SAP Asset Strategy and Performance Management SAP Predictive Maintenance and Service SAP Extended Enterprise Content Management SAP Master Data Governance EAM extension IoT Foundation Mobile IoT OSI/PI MII/PCo GIS SAP Geo Enablement Framework SAP S/4HANA Digital Core Connected Assets OT Systems Other Sources 22001175SSAAPPSSEEoroarnaSnASPAaPfialifaftieliactoemcpoamnypȧAnlyṛigAhltsrirgehstesrvreedsėrved. Internal 90

SAP Asset Strategy and Performance Management ISO 55000 Asset Management System Asset Criticality Assessment Asset Performance Monitoring Maintenance Strategy Creation Life Data / Bad ActorAnalysis Maintenance Strategy Implementation SAP s Asset Strategy & Performance Management Support the asset management organization in defining, planning and monitoring the optimal maintenance strategy for physical assets by providing the required level of collaboration and integration as well as the needed data and analytics 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 11

SAP Asset Strategy and Performance Management Developing a Maintenance Strategy Manage Asset Information Manage Locations, Equipment, Groups, Systems Asset Criticality Assessment Rating assets according to criticality for the business RCM Reliability-Centered Maintenance Evaluating threats to safety, operations, and maintenance FMEA Failure Modes and Effects Analysis Analyze component failures and associated results on operations PM Review Preventive Maintenance Review Evaluate the current maintenance plans and their effectiveness Maintenance Strategy Implementation Create/Change Maintenance Plans, Task Lists Maintenance Strategy Execution Perform Inspections, Condition Monitoring, Predictive Maintenance, Asset Management Monitoring Analyze Cost and Performance 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 12

LAB Preview Asset Management Monitoring 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 13

AIN Solution Overview

SAP's approach to Asset Information Management SAP Asset Intelligence Network SAP S/4HANA or SAP ERP Consolidated processing of structured and unstructured information SAP Data Services SAP Master Data Governance, EAM Extension by Utopia SAP Extended Enterprise Content Management by OpenText SAP Information Steward SAP Visual Enterprise "SAP Asset Information Workbench by Utopia" (planned) SAP Management of Change 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 15

SAP Asset Intelligence Network Cloud-based platform for asset information exchan w g w e w.sap.com/ain Nameplate info Maintenance strategy 3D parts # / BOM Service bulletins & revs Failure modes Recalls Safety controls Process controls Service bulletin Designs and drawings Design improvements Sensor definition Licensing Operating instructions Maint instructions Safety instructions Product training Service bulletin receipt Service bulletin processed Usage information Installation information Failure / incident data Design recommendations Risks and controls Measurement documents Telemetry Manufacturer Service provider Operator 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 16

SAP Asset Intelligence Network New User Experience for the Business Users Admin Apps Business Partners Authorizations Templates Master Data Apps Models Equipment Locations Spare Parts Documents Instructions Process Apps Performance Improvement Obsolescence Report Error Code Lookup 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 17

SAP Asset Intelligence Network Sharing Model and Equipment Information Information Model Information Model Attributes Equipment Attributes Installation Information Life Cycle Information Structure and Parts Structure Spare Parts Documentation Model Documents Equipment Documents Instructions Announcements Monitoring Measuring Points Error Codes Improvement Cases Time Line 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 18

PdMS Solution Overview

SAP Predictive Maintenance and Service (PdMS) High dimensional data SOLUTION Feature construction/selection requires data scientists & domain user collaboration No labeled failure data Anomaly detection and adaptive learning through user feedback Rare failure events Failure prediction using ensemble learning Outdated models, human scale Model management, continuous learning and scoring Use case specific algorithms Extensibility and integration of new algorithms 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 20

SAP Predictive Maintenance and Service, on premise edition System and component level visualizations Logistics & Maintenance Execution Systems Explorer (fleet view) SAP Predictive Maintenance and Service Explorer Equipment Page Analysis Tools Catalog Machine Learning Engine Equipment Page SSAAPPLLeeoonnaarrddooFFoouunnddaatiotinon SSAAPPLLeeoonnaarrddoofoorrEEddggeeCComompuptuintigng Machine Data Business Data 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 21

SAP Predictive Maintenance and Service, on premise edition Explorer - Analysis Tools Catalog 3D Chart Explorer Work Orders Notifications * Health Status Overview is an example of a custom Analysis Tool built using SDK 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 22