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© 2014 IBM Corporation
Welcome to Smarter Infrastructure Comes to YouDC Maximo and TRIRIGA User Group
© 2014 IBM Corporation 2
INTRODUCTIONS
© 2014 IBM Corporation 3
AGENDA
Time Maximo TRIRIGA
7:30-8:30 Registration/Breakfast/Networking
8:30-8:40 Welcome and Introductions
8:40-9:25 Smarter Infrastructure- General Session
Breakouts Begin
9:30-10:20 Maximo Roadmap TRIRIGA Roadmap
10:30-11:20
Better Planning and Resource Utilization with Maximo Scheduler Enabling a Mobile Workforce
11:30-12:20 TRM Rules Manager TRIRIGA Projects
12:30-1:30 Lunch/Exhibits/Support Station led by Scott Peluso- Room A&B during lunch
1:30-2:20 Maximo Reporting GIS/BIM/Mobility
2:30-3:30 Achieving Business Value- Maximo Panel Achieving Business Value- TRIRIGA Panel
3:35-4:15Mobilize Your Workforce with IBM's Next Generation Mobile
Solutions Using Metrics to Manage Organizational Change
4:15-5:00 Exhibit Space Open
© 2014 IBM Corporation 4
EXHIBITS
Maximo Enterprise Asset Management
Maximo Business Intelligence
Mobile Solutions
TRIRIGA IWMS
Support
TRM
CFI
© 2014 IBM Corporation
Smarter Infrastructure Patterns of Innovation Enabled by an Internet of ThingsPete Karns, Director, Product Management & Strategy, IBMJohn Smart, Chief Strategist, Smarter Infrastructure, IBM
DC Maximo and TRIRIGA User GroupSmarter Infrastructure Comes to You
© 2014 IBM Corporation6
Internet of information
Internet of enga gement
Internet of “things ”
INTERMITTENTLY CONNECTED DEVICES AND PEOPLE2000 2020 2010
The convergence of technology is transforming the world into an Internet of things…
© 2014 IBM Corporation7 Source: 1. Disruptive Technologies, McKinsey Global Institute, May 2013
The Internet of Things is enabling a Smarter Infrastructure
Definition1
The Internet of Things refers to the use of sensors, actuators, and data communications technology built into physical objects - from roadways to pacemakers - that enable those objects to be tracked, coordinated, or controlled across a data network or the InternetThere are three steps in Internet of Things applications: capturing data from the object (for example, simple location
data or more complex information),
aggregating that information across a data network, and
acting on that information - taking immediate action or collecting data over time to design process improvements.
© 2014 IBM Corporation8
Problems… Opportunities…
Unit 1 OfflinePosted: Apr 15, 2012 7:54 PM EDT
By Wjbf Staff,
“Unit 1 of the XYZ Electric Generating Plant will be brought back online after Nuclear plant operators responded to an issue with a water pump and took the unit offline.” Within the industry, it is known that an operational technology problem on the pump caused the issue/shutdown…
With 70 to 90 percent of the total lifetime cost of heavy equipment to be found in maintenance and repair, services offer high profit margins and predictable revenues that can protect against market volatility. As part of this evolution, manufacturers will likely continue to invest in equipment software, including field service management… and will be augmented by investment in mobile devices, machine-to-machine (M2M) communication, cloud-based information storage, and delivery and analytic applications. -
Better big data handling, easy-to-learn/use modeling tools, and a wide choice of analysis algorithms for structured and unstructured data dictate which of these 10 vendors will lead this [predictive analytics] market…. IBM needs to do a better job of reconciling its go-to-market strategy for its broad portfolio to make it less confusing. In addition, IBM needs to continue its efforts in creating predictive analytics solutions — IBM calls these blueprints — that customers can use out of the box.
The Forrester Wave™: Big DataPredictive Analytics Solutions
Operational Technology
Connectivity
Changing Business Models
Unlocking Insights from Data
One of the more intriguing implications of M2M on global industry is the potential to shift industrial equipment to a service-on-demand model, similar to cloud computing.
Effective M2M solutions need to provide the intelligence and flexibility to communicate with the broad range of industrial machinery deployed.
Industrial companies and suppliers also need advanced capabilities to remotely monitor, manage, and update these solutions from the cloud.
© 2014 IBM Corporation9
The opportunity addresses high value challenges
Plant Manager, VP Operations, Facility Mgr,
Maintenance Director
VP Operations, CIO, VP Engineering, Maintenance Director
COO (Mayor), CFO VP Operations,
Chief Security Officer
VP Engineering, VP Products, VP Aftermarket Service
Improve time to market and life cycle warranty costs for new products
Extend useful life of asset infrastructure while increasing ‘Return on Assets’
Proactively address threats and regulations for critical infrastructure protection, and health / safety
Increase operational efficiency and agility, in part by leveraging new ‘Operational Technologies’
Operational Technology
Connectivity
Changing Business Models
Unlocking Insights from Data
© 2014 IBM Corporation10
Analyze & Optimizeinformation from across the lifecycle leveraging
insight for action
Design & Engineer applications addressing
requirements mgt and complex system design process
Managethe lifecycle of assets ensuring safe, reliable
and predictive operations
Operate infrastructure safely and securely from rollout to
production
Connect, Collect and Store
information from a range of assets and devices with range of volume, variety
and velocity
Securityintelligence and action
is critical from the device up thru industry
solutions
Value & innovation within and across the product/asset life cycleBetter outcomes driven by data, analytics, and LoB process optimization
© 2014 IBM Corporation11
Patterns are emerging within industry context
Pattern Value Statement
Operations and Maintenance Optimization
Increase productivity and reliability of assets and infrastructure without jeopardizing service quality or compliance. Reduce and more effectively utilize CAPEX and OPEX
Connected Communities Drive sustainable economic growth, and citizen centricity across operations. Enable leaders to analyze data, including social sentiment, to proactively resolve issues and opportunities and coordinate resources to operate effectively.
Product Life cycle Innovation Accelerate innovation and time to market for products by coordinating processes and information across design domains and the product life cycle
Operational Technology Utilization & Management
Enable visibility, control, and automation to effectively manage the increasingly complexity of asset infrastructure, devices and products.
Connecting Assets and M2M Connect diverse devices to a network, with two way communication, to enable process automation and feed information to business applications and analytics
Predictive Analytics and Action
Generate insights to identify and execute operational efficiencies, and opportunities for innovation, across people, processes, and infrastructure.
© 2014 IBM Corporation12
Assets/Resources/Devices
Role based Users
Delivery models ensure alignment to industry and client requirements
On Premise Hosting
Software as a Service Managed Service
© 2014 IBM Corporation13
Investing in support of requirements
2013 Accomplishments:Introduced optimization & analytics, and new mobile platform, while moving forward on key capability areas
Added optimization models to Scheduler, supporting automated labor and resource scheduling
Provided out-of-the-box KPIs, metrics, and trends Created ‘Anywhere’, built on IBM Worklight Enterprise platform Advanced TRIRIGA core capabilities and platform robustness
Released Industry focused improvements for Maximo Oil & Gas, Transportation, Asset Configuration Manager, Service Providers, and HSE
2014 Objectives:Enabling new delivery models to use new capabilities quickly, improve time to value and reduce TCO. Grow and differentiate with mobility and analytics.
Service Engage platform – a new way for clients to experience and acquire C&SI solutions
Maximo (q1) & TRIRIGA (tbd) SaaS to capture new customers / migrate ‘down level’ existing customers
Inventory Insights SaaS (q1) – optimize parts inventory to eliminate over/under stock conditions. Hybrid delivery model, no upgrade required
Advance TREES in the energy management space with advanced analytics and work order management – enabling customer to take action to reduce energy costs, and drive real estate and capital project decisions
Enable Anywhere platform beyond Work Management Adopt & embrace continuous development & delivery, including DevOps
Continue to expand our development advocate program to support our clients, Sales and BPs
Key Capability Areas
Energy & Sustainability
Work Management
Supply Chain
Service DeskIT Asset Management
Health & Safety
Asset Management
Facility & Space
Management
© 2014 IBM Corporation14
1. Enabling process and data integration within and across the life cycle
2. Managing and securing ‘operational technology’
3. Turning vast amounts of operational data into insights, and outcomes
Business value from IoT requires…
© 2014 IBM Corporation15
Applying Smarter Building Strategies for Business Efficiency
© 2014 IBM Corporation16
Deployment (On-Premise, Hosted, Cloud, SAAS)
Workplace Applications
Proactive, KPIs, Predictive Analysis, Security, StorageBig Data & Analytics Platform & Infrastructure
Workforce Services
BIG DataIntegration Platform and Services
Tririga SCCD – ITReal EstateProject Space Reservations
Workplace OperationsEnergy ManagementSustainability
Service DeskService CatalogChangeConfiguration
ReleaseIT AssetProcurementLicense
MetersBMS Sensors
Systems, Security, Storage, AppsMobile Platform
Self HelpRequest ManagementMeeting/Workspace Bookings
NewsWorkplace Locator
Security
MaximoEquipmentWorkInventoryPurchasing
ResourcesSchedulerHealth SafetyFleet
IBM’s Blueprint for Smarter Workplace
© 2014 IBM Corporation17
Leveraging the IoT for tracking real time space usage
Leveraging WIFI to track usage
© 2014 IBM Corporation18
Applying Smarter Building Strategies for Energy Efficiency
© 2014 IBM Corporation19
The 4 Tier Stack for Energy Optimization…when full stack implemented, energy savings can reach double digit percentages annually
Building HVAC and other management systems
Sensors / Instrumentation
Data Collected from Sensors
Analytics and Rules applied to Data
Endpoints
Middleware
Big Data
Analytics
© 2014 IBM Corporation20
The objective to make IBM’s buildings smarter was based on a few fundamental thoughts…
Our buildings are talking to us, but we can’t hear them
We can meter almost every subsystem in a building
We have software capability to aggregate big data from disparate sources
If we could integrate our software with these subsystems, we could display data in a way that could drive higher levels of efficiency
© 2014 IBM Corporation21
Smarter Buildings solutions employ big data analytics to generate continuous improvement
© 2014 IBM Corporation22
IBM implementation savings results
© 2014 IBM Corporation23
IBM RESO generated cost savings of 12 percent
23 percent of savings Simultaneous heating and cooling
16 percent Equipment in manual override mode
13 percent Cooling when cold outside
12 percent Cooling valve leaking
10 percent Heating valve leaking
9 percent Temperature sensor drift
5 percent Excessive loading of VFDs
Note: Remaining 12 percent of savings generated by other operating conditions
© 2014 IBM Corporation24
TRIRIGA Real Estate Environmental Sustainability Impact Manager Energy Optimization & Analytics Enhancements
TRIRIGA
Analytics
Enhanced Energy Reporting • New energy reports for imported data• Utility to move energy data to TREES log files for
long term trend reporting
Integrated Analytics & Operations Management• Predefined fact tables to store energy data • Workflows to execute analytics on energy data• 40 pre-defined rules for AHUs and chillers• Work requests initiated by analytics or alerts received
from remote systems• Ability to de-duplicate external alarms
Data Collection by 3rd Party: Building Management Systems (BMS)MetersData management systems
AlertsData
The information on the new product is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information on the new product is for informational purposes only and may not be incorporated into any contract. The information on the new product is not a commitment, promise, or legal obligation to deliver any material, code or functionality. The development, release, and timing of any features or functionality described for our products remains at our sole discretion.
Integration Toolkit• Getting started guide• Documentation on how to extend the TRIRIGA data
model, import data into TRIRIGA energy fact tables and write rules
• Documentation on how to use external alerts to launch TRIRIGA work requests
• documentation on how to de-duplicate alerts
© 2014 IBM Corporation25
1.Benefits
2.Enabling process and data integration within and across the life cycle
3.Managing and securing ‘operational technology’
4.Turning vast amounts of operational data into insights, and outcomes
Source: IBM proprietary analysis from aggregate client data Source: IBM proprietary analysis from aggregate client data
Maturity Stage 0 Stage 1 Stage 2 Stage 3Maturity Stage 0 Stage 1 Stage 2 Stage 3
BasicBasic Smarter WorkplaceSmarter WorkplaceComponentComponent
MinimalMinimal
IBM Smarter Workplace Maturity Model
© 2014 IBM Corporation26
The world is changing and becoming smarter, which brings significant opportunity – to those who adopt, manage, and change
Digital technologies (sensors and other monitoring instruments) are being embedded into every object, system and process.
All the data generated by digital technology is providing intelligence to help us do things better, improving our responsiveness and our ability to predict and optimize for future events.
INTELLIGENT
INSTRUMENTED
INTERCONNECTED
In the globalized, networked world, people, systems, objects and processes are connected, and they are communicating with one another in entirely new ways.
© 2014 IBM Corporation27 © 2014 IBM Corporation27