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Kalman Tiboldi
Chief Business Innovation Officer
IoT ENABLED INTELLIGENT
FLEET MANAGEMENT
TVH GROUP
> 4800 colleagues worldwide Consolidated turnover € 1,2 billion
INTERNET OF THINGS
Internet of Things is the network of physical objects that contain embedded technology to
communicate and sense or interact with their internal states or the external environment.
Source: Gartner
CONNECTED WORLD
Source : Cisco
Hardware embedded, sensors
Cloud/Big data Enterprise Software
Network Operators
Device & OS vendorsNetwork eq. providers
Industry “leaders” Public sector
Industry – demand side
DRIVING FORCES BEHIND IoT
IoT BUSINESS OPPORTUNITIES
New business
models
The IoT will help
companies create
new value streams
for customers,
speed, time to
market and
respond more
rapidly to
customer needs
Real-time
information on
mission-critical
systems
Enterprises can
capture more data
about processes
and products,
more quickly
and radically
improve
market agility
Diversification
of revenue
streams
The IoT can help
companies
monetize
additional services
on top of traditional
lines of
businesses
Global
visibility
The IoT will make it
easier for
enterprises to see
inside the business,
including tracking
from one end of the
supply chain to
other , which will
lower the cost of
doing business in
far-flung locales
Efficient,
intelligent
operations
Access to
information from
autonomous
endpoints will allow
organizations to
make on-the-fly
decisions on pricing,
logistics and sales
and support
deployment
Source: IDC
5 Ways IoT Will Create New Opportunities
SMART LOGISTICS – PART OF INDUSTRY 4.0
Smart Mobility Smart Logistics
Smart Products
Smart Grids Smart Buildings
LOGISTICS 4.0 FOR LIFT TRUCK INDUSTRY
Source: KION Group AG - 2015
FLEET MANAGEMENT – THE FUTURE IS DIGITAL
Digital technology will have a major role to play
Mobile
Real-time data
Cloud Computing
Internet Of Things
Asset tracking
Linked to overall fleet management, allows the tracking of all goods and
physical items allocated to fleet operations
MAJOR COMPONENTS OF FLEET MANAGEMENT
Operational Fleet Monitoring and Management
Real-time equipment tracking, KPI management per truck, fleet and location
Equipment dispatching
Assigning equipment to customers
Technician scheduling
Location, skill requirement, shift of work based crew scheduling
Condition based, predictive maintenance
Remotely view and manage equipment servicing
Security and safety
Equipment and driver security during operation or while stopped, recovery of stolen
vehicles
MAJOR BENEFITS OF FLEET MANAGEMENT
Reduce Operational
Cost
Increase Productivity
Improve Employee
Efficiency
Extend Life of
Equipment
Improve Driver
Safety
Better Breakdown Recovery
Ensure Regulatory
Complience
Promote Responsible
Driving
Increase Customer Satisfaction
FLEET MAINTENANCE
Correctieve
Maintenance
Performed to identify,
isolate, and rectify a
fault so that the failed
equipment, machine,
or system can be
restored to an
operational condition
Preventive
Maintenance
Schedule of planned
maintenance actions
aimed at the
prevention of
breakdowns and
failures. Preserve and
enhance equipment
reliability
Predictive
Maintenance
Techniques that help
determine the
condition of in-service
equipment in order to
predict when
maintenance should be
performed. Minimize
disruption of normal
operations, while
allowing right time
repairs.
SMART LIFT TRUCKS
GPS
Engine data
Fuel
Camera
Speed & Accelerometer
Temperature Mast Tilt Angle
Tyre pressure Battery
Proximity sensor
Load presence
Mast & steering
sensor
Heavy load
position
Oil condition
IoT-ENABLED SERVICE ECOSYSTEM
Your equipment tells you
precisely what kind of service it
needs, where, why, and
what its estimated life time will
be without that service
Predictive,
condition-based
Maintenance
Allocate and plan
maintenance
tasks according to the
anticipated,
measured or calculated
condition of a component,
device or system
Remote monitoring and
self optimizing
Sense Raw data is collected from hundred or thousands of sensors,
locally processed or transmitted wireless to remote monitoring
Decide
Analyse the data, take decisions locally or through remote
analytical services. Private and public data are combined
using cloud –based services
Act Adapt and optimize the performance of the process locally or
take actions to replace the part causing problems
INTELLIGENT SPARE PARTS
Predictive
Maintenance
Self diagnostics identify
failing components
resulting in automated
parts ordering
Spare parts supplier
OEM Manufacturer
3D printing factory
Ref. #
Service orchestrator
Embedded sensors
Real time, condition based monitoring
Part identification and direct ordering
Classical or additive manufacturing
TVH HETEROGENEOUS FLEET
LIFT TRUCKS ACCESS EQUIPMENT SERVICE CARS
RENTAL DELIVERY TRUCKS
COMPANY CARSTRACTORS
CONNECTED TVH EQUIPMENT
Business
Intelligence
Predictive Model
Development
Product
Engineering
Gateway
Local
Analytics &
Decision
Service
Engineer
Data Streaming Data Warehouse
Edge Platform Enterprise
Pentaho Data Analytics & Event Processing
Decision Management Data Visualization Device Management
External data services
Fleet
Management
Service
Management
FLEET MONITORING & MANAGEMENT
FIELD SERVICE MANAGEMENT
KPI MANAGEMENT
MAJOR BENEFITS
Moving from Two-Step to One-Step Maintenance
Increasing the availability of equipment, optimize
the usage and reduce the operational cost
Empowering Equipment Maintenance
Combining Human Intelligence with Machine
Learning
Allowing the development of a new business model
Offering Lifting Capacity as a Service
Improve driver safety and promote responsible driving
ONE SIZE DOES NOT FIT ALL
Data Transfer Rate Mbps
 BTLE Bluetooth Low Energy
 LoRa Low power, Long Range
 LTE Long-Term Evolution
 LTE-M Long-Term Evolution Mobile
 NFC Near Field Communication
Choose the right wireless communication technology
 LTE, WiFi - Predictive maintenance
 LoRa – Asset tracking
 BTLE – Local data transfer
Multi-Interface Gateway with Edge Analytics Capability
CAN-Bus data transmission
rate : 1 Mbps
SOM=Share Of Market Source: LoRa Alliance
IoT - SOURCE OF BIG DATA
The massive scale and highly dynamic nature of the IoT, the huge
amounts of data streamed from the physical world, and new
communication patterns demand novel programming, content delivery, and
network management.
IoT generates large quantities of data that need to
be processed and analyzed in real time
Data aggregation and processing at the Edge.
Relevant data is forwarded to central site for
additional processing
The Value comes from the Information that’s hardest to manage
In Maintenance Mode a
lift truck generates more
than 3 MB / min through
CAN-bus
IoT & PREDICTIVE ANALYTICS
Raw Data
Collection
Edge Data
Filtering
Real-Time
Data Analysis
Exploratory
Data Analysis
Predictive
Modelling
Integrate into
Operations
Iterate
Signal Analysis
Event Analysis
Root Cause Analysis
Sensor value distribution analysis
Linear regression …
Event Tracking & Filtering
Event Correlation
Event Aggregations …
PREDICTIVE
ENGINE
CONNECTED EQUIPMENT ECOSYSTEM
Connected
Equipment
Ecosystem
Geospatial
Services
Location
Geo-fencing
Service
Company
Service and
Asset
Management
Equipment
Sensor based
information
Social
Media
Customer
experience
Customer
User profile
Events
from the
local
environment
 Single, integrated view of equipment condition
 Real-time, personalized alerts
 Predictive capabilities e.g. maintenance
and service issues
Extended Capability
Outcomes
 Superior customer service
 Profitable aftermarket services & products
 Improved, interactive user experience
 Integrated equipment data available to 3rd parties
 Improved quality and functionality of future products
Moving from reactive to a proactive company
IoT – A NEW PARADIGM
IoT is here to stay, rapidly
connecting the physical world to
Internet
IoT is inevitable, affecting every
industry, every company, every job,
every person
For businesses, IoT requires a
mindset shift because it will
create and capture value differently
Products can addresses needs in a
predictive manner, leveraging data
and frequent updates
IoT is both driver of new products
cycles and another leg of cost
efficiencies
IoT will create new winners long
before losers find out they've losing
www.tvh.com kalman.tiboldi@tvh.com
Thank You

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IoT enabled intelligent fleet management

  • 1. Kalman Tiboldi Chief Business Innovation Officer IoT ENABLED INTELLIGENT FLEET MANAGEMENT
  • 2. TVH GROUP > 4800 colleagues worldwide Consolidated turnover € 1,2 billion
  • 3. INTERNET OF THINGS Internet of Things is the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment. Source: Gartner
  • 5. Hardware embedded, sensors Cloud/Big data Enterprise Software Network Operators Device & OS vendorsNetwork eq. providers Industry “leaders” Public sector Industry – demand side DRIVING FORCES BEHIND IoT
  • 6. IoT BUSINESS OPPORTUNITIES New business models The IoT will help companies create new value streams for customers, speed, time to market and respond more rapidly to customer needs Real-time information on mission-critical systems Enterprises can capture more data about processes and products, more quickly and radically improve market agility Diversification of revenue streams The IoT can help companies monetize additional services on top of traditional lines of businesses Global visibility The IoT will make it easier for enterprises to see inside the business, including tracking from one end of the supply chain to other , which will lower the cost of doing business in far-flung locales Efficient, intelligent operations Access to information from autonomous endpoints will allow organizations to make on-the-fly decisions on pricing, logistics and sales and support deployment Source: IDC 5 Ways IoT Will Create New Opportunities
  • 7. SMART LOGISTICS – PART OF INDUSTRY 4.0 Smart Mobility Smart Logistics Smart Products Smart Grids Smart Buildings
  • 8. LOGISTICS 4.0 FOR LIFT TRUCK INDUSTRY Source: KION Group AG - 2015
  • 9. FLEET MANAGEMENT – THE FUTURE IS DIGITAL Digital technology will have a major role to play Mobile Real-time data Cloud Computing Internet Of Things
  • 10. Asset tracking Linked to overall fleet management, allows the tracking of all goods and physical items allocated to fleet operations MAJOR COMPONENTS OF FLEET MANAGEMENT Operational Fleet Monitoring and Management Real-time equipment tracking, KPI management per truck, fleet and location Equipment dispatching Assigning equipment to customers Technician scheduling Location, skill requirement, shift of work based crew scheduling Condition based, predictive maintenance Remotely view and manage equipment servicing Security and safety Equipment and driver security during operation or while stopped, recovery of stolen vehicles
  • 11. MAJOR BENEFITS OF FLEET MANAGEMENT Reduce Operational Cost Increase Productivity Improve Employee Efficiency Extend Life of Equipment Improve Driver Safety Better Breakdown Recovery Ensure Regulatory Complience Promote Responsible Driving Increase Customer Satisfaction
  • 12. FLEET MAINTENANCE Correctieve Maintenance Performed to identify, isolate, and rectify a fault so that the failed equipment, machine, or system can be restored to an operational condition Preventive Maintenance Schedule of planned maintenance actions aimed at the prevention of breakdowns and failures. Preserve and enhance equipment reliability Predictive Maintenance Techniques that help determine the condition of in-service equipment in order to predict when maintenance should be performed. Minimize disruption of normal operations, while allowing right time repairs.
  • 13. SMART LIFT TRUCKS GPS Engine data Fuel Camera Speed & Accelerometer Temperature Mast Tilt Angle Tyre pressure Battery Proximity sensor Load presence Mast & steering sensor Heavy load position Oil condition
  • 14. IoT-ENABLED SERVICE ECOSYSTEM Your equipment tells you precisely what kind of service it needs, where, why, and what its estimated life time will be without that service Predictive, condition-based Maintenance Allocate and plan maintenance tasks according to the anticipated, measured or calculated condition of a component, device or system Remote monitoring and self optimizing Sense Raw data is collected from hundred or thousands of sensors, locally processed or transmitted wireless to remote monitoring Decide Analyse the data, take decisions locally or through remote analytical services. Private and public data are combined using cloud –based services Act Adapt and optimize the performance of the process locally or take actions to replace the part causing problems
  • 15. INTELLIGENT SPARE PARTS Predictive Maintenance Self diagnostics identify failing components resulting in automated parts ordering Spare parts supplier OEM Manufacturer 3D printing factory Ref. # Service orchestrator Embedded sensors Real time, condition based monitoring Part identification and direct ordering Classical or additive manufacturing
  • 16. TVH HETEROGENEOUS FLEET LIFT TRUCKS ACCESS EQUIPMENT SERVICE CARS RENTAL DELIVERY TRUCKS COMPANY CARSTRACTORS
  • 17. CONNECTED TVH EQUIPMENT Business Intelligence Predictive Model Development Product Engineering Gateway Local Analytics & Decision Service Engineer Data Streaming Data Warehouse Edge Platform Enterprise Pentaho Data Analytics & Event Processing Decision Management Data Visualization Device Management External data services Fleet Management Service Management
  • 18. FLEET MONITORING & MANAGEMENT
  • 21. MAJOR BENEFITS Moving from Two-Step to One-Step Maintenance Increasing the availability of equipment, optimize the usage and reduce the operational cost Empowering Equipment Maintenance Combining Human Intelligence with Machine Learning Allowing the development of a new business model Offering Lifting Capacity as a Service Improve driver safety and promote responsible driving
  • 22. ONE SIZE DOES NOT FIT ALL Data Transfer Rate Mbps  BTLE Bluetooth Low Energy  LoRa Low power, Long Range  LTE Long-Term Evolution  LTE-M Long-Term Evolution Mobile  NFC Near Field Communication Choose the right wireless communication technology  LTE, WiFi - Predictive maintenance  LoRa – Asset tracking  BTLE – Local data transfer Multi-Interface Gateway with Edge Analytics Capability CAN-Bus data transmission rate : 1 Mbps SOM=Share Of Market Source: LoRa Alliance
  • 23. IoT - SOURCE OF BIG DATA The massive scale and highly dynamic nature of the IoT, the huge amounts of data streamed from the physical world, and new communication patterns demand novel programming, content delivery, and network management. IoT generates large quantities of data that need to be processed and analyzed in real time Data aggregation and processing at the Edge. Relevant data is forwarded to central site for additional processing The Value comes from the Information that’s hardest to manage In Maintenance Mode a lift truck generates more than 3 MB / min through CAN-bus
  • 24. IoT & PREDICTIVE ANALYTICS Raw Data Collection Edge Data Filtering Real-Time Data Analysis Exploratory Data Analysis Predictive Modelling Integrate into Operations Iterate Signal Analysis Event Analysis Root Cause Analysis Sensor value distribution analysis Linear regression … Event Tracking & Filtering Event Correlation Event Aggregations … PREDICTIVE ENGINE
  • 25. CONNECTED EQUIPMENT ECOSYSTEM Connected Equipment Ecosystem Geospatial Services Location Geo-fencing Service Company Service and Asset Management Equipment Sensor based information Social Media Customer experience Customer User profile Events from the local environment  Single, integrated view of equipment condition  Real-time, personalized alerts  Predictive capabilities e.g. maintenance and service issues Extended Capability Outcomes  Superior customer service  Profitable aftermarket services & products  Improved, interactive user experience  Integrated equipment data available to 3rd parties  Improved quality and functionality of future products Moving from reactive to a proactive company
  • 26. IoT – A NEW PARADIGM IoT is here to stay, rapidly connecting the physical world to Internet IoT is inevitable, affecting every industry, every company, every job, every person For businesses, IoT requires a mindset shift because it will create and capture value differently Products can addresses needs in a predictive manner, leveraging data and frequent updates IoT is both driver of new products cycles and another leg of cost efficiencies IoT will create new winners long before losers find out they've losing