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
- 4. CONNECTED WORLD Source : Cisco
- 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
- 20. KPI 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