L4MS - Benefits, OPIL, use cases and Open Call 2019 process
Download as PPTX, PDF0 likes170 views
The L4MS acceleration program aims to enhance factory logistics for small and medium-sized manufacturers by reducing the installation time and costs of mobile robots. It offers funding up to €250,000, technical expertise, and training to digitalize internal logistics systems using the OPIL IoT platform and a 3D factory simulation tool. By addressing common challenges in logistics automation, L4MS supports the development of flexible and responsive logistics systems that can adapt to changes in production demands.
L4MS - Benefits, OPIL, use cases and Open Call 2019 process
- 2. 2% Did you know that less than… Logistics account for up to 50% of total manufacturing costs … of small & medium-sized manufacturers use advanced technologies in Europe?
- 4. L4MS Acceleration Program aims to radically reduce the installation time and costs of mobile robots for small & medium-sized manufacturers. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 767642
- 5. Funding up to 250,000€ to develop flexible, responsive logistics system How? • L4MS offers companies funding to completely digitalize internal factory logistics using IoT platform called OPIL (Open Platform for Innovations in Logistics) together with a 3D factory simulation tool (Visual Components) • Training courses to reskill staff. L4MS Technical expertise & mentoring Business support to develop new business models and find new investment opportunities.
- 6. TECHNOLOGY FINANCE BUSINESS MENTORING TRAINING Company X L4MS Acceleration: One-stop-shop for logistics Competence centers Technology suppliersBusiness developers
- 7. Industrial IoT for logistics?
- 8. ERP MES SCADA PLC Process Industrial IoT in context of Enterprise software Data exchange is produced layer by layer
- 9. • Enterprise Software, devices and processes can “talk” to each other • A software platform – IoT platform – connects and translates Industrial IoT in context of Enterprise software
- 10. OPIL is an open IoT platform for Automated Logistics • Enterprise Software, devices and processes can “talk” to each other • A software platform – IoT platform – connects and translates OPIL = Open Platform for Innovations in Logistics Industrial IoT in context of Enterprise software
- 11. Common problems in logistic automation • Challenge 1: Resourcing • Staff capacity used in material handling • Material handling NON value adding activity • Challenge 2: Changes in production • Uncertainty regarding future demand requirements • Uncertainty in future product portfolio • Layout changes specially during growing phase • Challenge 3: Available solutions on the market • Traditionally have low adaptability • Software integration costs are high • System expansion is expensive & time consuming Not interesting from production perspective! Not interesting from economic perspective!
- 12. What is OPIL? IoT Platform to enhance communication between different factory floor elements to create a flexible and responsive logistic system. Developed by members of the L4MS Consortium. To apply to L4MS Open Call, application should address the use of OPIL and its modules.
- 13. Using OPIL and Digital Twin in L4MS? Planning phase 3D factory simulation to design layout, routes, schedules using Visual Components Execution phase - OPIL Connect devices and steer logistic operations with OPIL Continuous adaptation & reconfiguration of logistic system with lower effort
- 14. OPIL Factory Equipment & Devices Suit of Software Solutions ERP ME S PLM Sensing & Perception Task planner Human Machine Interaction ….. ….. Enterprise Applications For inventory 3D Simulation of the factory floor
- 15. Advantages & Benefits? Adaptation to new technologies Plug and Play functionality to sensors, ROS based Automated Guided Vehicles (AGV) Investment estimation Time and installation costs drastically reduced Time for system adaption drastically lower Standard interfaces Adaptation to changing production volumes Easy to include new AGVs, Human Agents, etc. Changes in Production Planning & Scheduling automatically considered € Adaptation of new layouts Design, redesign and optimize Speed & precision with Visual Components simulations
- 16. • Expensive and time consuming system´s integration • Customization is costly, solution is not flexible • Technically ineffective when requiring system´s expansion (e.g. through integrating with enterprise solutions, by adding new and more sensors, by increasing fleet) • Results often in “Vendor lock” TRADITIONAL DEPLOYMENT? BENEFITS OF L4MS & OPIL? • Flexible, responsive logistics system allowing the integration of hardware & software products from different vendors in the future • 3D model of factory layout to help deployment of mobile robots 10 faster in the future • Funding up to 250,000€ to develop flexible logistics solution with the support of L4MS engineers • Mentoring for setting-up the business case for implementing the automated logistic solution in your factory
- 18. OPIL Technical Tools • ROS (Robotic Operation System) • Provides libraries specifically developed for robot control • FIWARE Orion Context Broker (OCB): • Data distributed service • Every node of OPIL can write and read messages • The tool used by the nodes of the architecture to communicate
- 20. OPIL modules
- 21. Architecture • Software System Layer • Logistics functionality • Simulation • Cyber Physical System Layer • Middleware • Enables communication among different systems • IoT nodes • Production floor • The ones that perform logistics tasks
- 22. Goal of task planner? • Robot Fleet Management • High level fleet tasking • Optimization of logistic tasks based on specifications • Coordination of logistics workers robots/humans • Supervision of task execution
- 23. Task Planner sub-modules • Consists of 3 different sub-modules: 1) Task Supervisor monitors the execution of the task dispatched to the agents 2) Business Process Optimization decides and optimizes the tasks to be dispatched to the different agents 3) Motion Task Planning plans the motion tasks for the robot agents
- 24. Task Supervisor 1) Receives a “Task Specification” • “Task Specification”: A specification of the sought logistic task in the “Logistics Task Specification Language” • “Logistics Task Specification Language”: A programming language introduced in OPIL that is appropriate for logistics operations 2) Parses the “Task Specification” to generate the “Task Plan” for the BPO 3) Monitors the execution of the “sequence of operations” received from BPO • If the execution fails it informs the BPO to provide an alternative sequence
- 25. Task Supervisor components • TaskSchedular: • Responsible for creating and monitoring TaskManager. • Denotes a collection of one or more TaskManager. • TaskManager: • Responsible for creating and monitoring Tasks. • TaskManager has collection of one or more Tasks. • Task: • Describes a transport order that is being executed. • Has information on what will be transported, from where to which destination, how this task will be triggered.
- 26. Business Process Optimization • Determines which robots/humans where pick up items and where to drop them off • Handles on-the-fly optimization of tasks received from Task Supervisor • User provides specifications of logistics tasks: • Resources to which machines, drop-off places and pick-up places. • Minimizes logistics resources required for a given task. • Battery life, distance, types of AGVs.
- 27. Business Process Optimization Set-up through the Human-Machine-Interface in two levels: • SI have to first populate the system with predetermined tasks and resources in the system. • Factory managers can, during manufacturing operations, select which tasks have to be fulfilled when. • ERPs, or WMS can also steer the selection of predefined tasks.
- 28. Business Process Optimization 1) Receives a “Task Plan” from the Task Supervisor • “Task Plan”: A description of the sought logistic state vs the current logistic state 2) Calculates the required resources to fulfil the “Task Plan” by receiving input from the MTP 3) Calculates the “sequence of operations” that are required to fulfil the “Task Plan” 4) Optimizes 2. and 3.
- 29. Motion Task Planning • Receives start and end destinations of Robot/ Human Agent Nodes. • Computes best, shortest and/or fastest path for navigation • Handles communication with RAN (MOD.SW.RAN). • Its aware of states (current pose, position, current task) • Cost is used by the BMO to find local optimum for input scenarios. • Provides deadlock-free, (Near) optimal optimal path • Avoid loops and collisions
- 31. Human Machine Interface Enables interaction between factory users and OPIL system. Floorplan management • Upload floorplan images in png or jpg formats. Task management • Task specifications are encoded in text snippets of the task specification language Viewing robot and sensor status • Allows to view status and sensor values information. • Web application subscribes all type ‘ROBOT’ and type ‘SensorAgent’ entities. • Robots view then when notified shows robot statuses, x- and y-positions and theta value. • Sensors view show when notified sensor values in their own chart panel.
- 32. Human Machine Interface: steps • Load layout of factory • Determine locations of interest, machines, load and onloading conditions (e.g. type of manipulation between AGV and drop-off resource), types of loads, types of AGVs, expected number of travels per activity, etc • Determine different production scenarios for which the BMO will be applied. • Create lists of tasks based on scenarios.
- 34. Pilot Experiment with L4MS Chemi Pharm develops, produces and sells allergen-free disinfection agents, cleaning and maintenance products, and a luxury skin care line The company was seeking to increase efficiency in manufacturing and internal logistics process before moving to a new manufacturing unit. MANUFACTURING SME Estonian Competence Center IMECC was responsible of creating a small CHEMI-factory model at IMECC testing facility. Their model was intended to demonstrate the interaction of OPIL with the AVGs and operators to fulfil the planned logistic tasks. COMPETENCE CENTER KINE Robotics helped create the Digital Twin of the CHEMI factory for designing and planning the logistic system using Automated Guided Vehicles (AGVs) KINE will define a business plan for the commercialization process. SYSTEM INTEGRATOR
- 35. • Raw materials and ready products needed to be transported from one location to another continuously. Failure to do this on time results in interrupted workflows, lowers the efficiency. • With every internal logistics movement multiple data entries were required (human error, repetitive tasks). These take unreasonable time & affect the workflow • Due to demand growth the automated logistics system needed to be highly flexible and easy to set up, such that eventual changes in layouts and logistics tasks can be adopted in short times to avoid long production stops. Main challenges
- 36. Digital Twin & Testing with IMECC During the L4MS experiment, a 3D model of the new factory was created and tested at IMECC facilities. The model has been useful in preparing for moving the manufacturing units to new a location, by performing 3D models and simulations in advance for different layouts and production scenarios
- 37. Main benefits? • Right design of logistic system before physical deployment • Automate the transporting and moving of raw materials and ready products in an efficient way • Minimize entries into IT systems and human errors • Enable the interaction between human forklift operators and AGVs • Increased reliability - unresponsive AGVs do not influence the completion of the task • Flexible logistic system that can be adapted to production demand changes at the longest effort possible 3D layout design in the new facility
- 38. “It is not about having interoperability in your mechanical processes anymore, it is much more about having data interoperability. Robots and other mechanical solutions are available; you can buy them and use them but the real value comes when they start interacting with their systems” - Kristo Timberg, COO, Chemi-Pharm
- 39. Types of Experiments? Examples for the Open Call
- 40. Example 1: Solution design a) Company does not have AGVs b) Interested exploring it as an option What you might apply for: Support for creating AGV solution proposal Simulations of Plant with integrated AGVs Support for business plan for feasibility analysis Support for getting funding for implementation ERP Suit of Software Applications Mapping, track & Trace Task planning Monitoring & User interfaces
- 41. a) Company has AGVs b) Interested improving quality, flexibility, agility What you might apply for: Get simulations of Plant with integrated AGVs Get IT support to interface OPIL to AGVs Test task planning software Test track & trace functionality Create & test monitoring cockpits Example 2: Optimization Suit of Software Applications ERP Mapping, track & Trace Task planning Monitoring & User interfaces
- 42. Using OPIL and Digital Twin in L4MS? Most ambitious projects will get funding!
- 43. OPIL Documentation OPIL documentation at readthedocs.io: https://opil-documentation.readthedocs.io OPIL on Docker Hub https://hub.docker.com/u/l4ms
- 44. OPEN CALL
- 45. Key points to address in proposals OPIL 3D Factory Simulation Application Experiments • Showcase digital twin for automated logistics design • Demonstrate overhead reduction in Automated Guided Vehicle (AGV) implementation investments • Diversity of examples for showcasing functionality • Improve based on user experience • Explore further functionality • Show the benefits of this technology • Demonstrate reduction in required resources
- 46. What L4MS program offers Support for Automated Logistics Digital Twin OPIL - IoT software environment Trainings Funding & Testing • Support design of AGV systems • Support business case creation • Support digitalization of logistic chains • Create factory simulations • Evaluate AGV solutions • Test production control rules • Connect AGV & sensors to ERP & MES • Connect AGV to task planning software • Near plug & play functionality • Company direction on technology opportunity • Managers in system implementation • Engineers on operational aspects • Up to €250K equity-free • Laboratories for testing • Channels to more financial resources
- 47. Proposal writing Fill out online template to submit proposal Get support from helpdesk@l4ms.eu Ask for feedback prior to submission Submit proposal 1st of Sept - 30th of Nov 2019. Consortium building Create a consortium of 2 or max 3 partners: Manufacturing SME + 1-2 other partners Max funding per project is 250K Max funding per partner is 100K Trouble finding a partner? Register & L4MS experts will find you a team! Recognizing your opportunities? Manufacturer Support design & testing of automated logistics systems System Integrator: Simulations and OPIL facilitate IT implementation AGV manufacturer: OPIL as standard for connecting to factory IT infrastructure IT providers: New easy to market software functionalities for factories * * Funding up to €250,000 per consortium (up to €100,000 per party. Please note that Funding will not be awarded to individual legal entities that have already received more than 100,000 Euro via open calls (FSTP) from H2020 I4MS and SAE projects)
- 48. Who can apply? • Applicant can be.. • Small & medium-sized* or MidCap manufacturer** • System Integrator (ICT or Manufacturing equipment) • Technology supplier or AGV Manufacturer • Research organization (Competence Center, Digital Innovation Hub, University) • L4MS accepts only Consortias: • Submitted by any of these entities • At least one manufacturing SMEs included • Max 3 partners & at least 1 SME! • Single submission per entity! *) SME - Less than 250 persons and which have an annual turnover not exceeding 50 million euro, and/or an annual balance sheet total not exceeding 43 million euro (European Commission) **) Mid-Cap =There is no common EU definition of MidCap companies. In the context of this Open Call, MidCaps are considered those that have between 250 and 3000 employees.
- 49. Eligible countries? • EU member countries • Overseas Countries and Territories (OCT) linked to the Member States of the European Union • Countries Associated to Horizon 2020
- 50. Funding specifications 1 • Funding up to €250K per consortium - up to €100,000 per party • Namely max. €48K for Manufacturing SME • Namely max. €98K for Tech Provider • 100% will be reimbursed for non-profit legal entity and 70% for- profit legal entity • Funding not awarded to individual legal entities that have already received more than 100,000 Euro from other Open Calls (FSTP from H2020 I4MS and SAE projects)
- 51. Funding specifications 2 • No separate file with budget estimations is required • What will be required, is information about: • Resources to be used during the Experiment (dedicated team with complimentary skills) • Requested amount of support in Euros • The proposals should make an overall estimation of the project costs considering: • Personnel • Other costs: travel, equipment, other goods and services indispensable for the experiment
- 52. What you CAN fund • Cost that are related to the project; • Personnel • Travel costs • Other services and goods • Payments will be made upon receiving and validating the agreed milestones. • Commercial purchase of machinery and equipment is not eligible (eligible purchase is for experiment purpose only)
- 53. What you CAN´T fund • Cost that are not related to the project • The same cost twice (i.e. was previously funded with another EU project) • Hardware • e.g. mobile robots or Automated Guided Vehicles See details at L4MS Frequently Asked Questions
- 54. Other criteria • Show that planning and/or executions costs are reduced • Show alignment with L4MS objectives • Most ambitious projects will get funded • Language shall be English • Mandatory to submit the applications online at www.l4ms.eu (not via email)
- 55. The Application form Proposal step-by-step
- 56. 1. l4ms.eu 2. FAQ, Guide for applicants Where to begin…
- 57. Parts of the proposal 1. Project Summary 2. Excellence 3. Impact 4. Implementation 5. List of Key Performance Indicators (KPIs) 6. Annex Short Online Form: Around 1 hr of work
- 58. Part 1: Project summary • Short project summary Max 1500 characters
- 59. Part 2: Excellence • Use case description, current situation & challenges • Address how OPIL and 3D simulations can solve the challenges • Define concrete objectives for the Experiment • Explain how the proposed solution goes beyond state of the art • Explain the innovative aspect of the proposed solution 3000 – 12,000 characters
- 60. Part 3: Impact • Analyze the market opportunity and commercial strategy • Define the value proposition of the proposed Application Experiment to the L4MS project and OPIL • Explain what would be complementary funding opportunities for the proposed solution 3000 – 12,000 characters
- 61. Part 4: Implementation • Working plan: • List and timing of tasks • Deliverables • Milestones • Risks and mitigation plans • Team: • Members of project and roles • Profiles • Resource distribution: • Demonstrate that the consortium has the necessary resources available to successfully execute the Application Experiment 3000 – 12,000 characters
- 62. Part 5: Key Performance Indicators • Main KPIs to measure the success of the proposed Application Experiment 1000 - 4000 characters
- 63. Part 6: Appendix Transversal issues •Try to determine if the project will: • Have a social impact? • Reduce carbon emissions? • Have other positive impact on environment? • Improve equal opportunities between women and men Up to 3000 characters
- 64. APPLY at l4ms.eu! Send your proposal using this link! https://www.l4ms.eu/ Deadline 30th November 13:00 CET Interested but don’t have a partner? https://l4ms- registration.fundingbox.com/ Do you have questions? helpdesk@l4ms.eu
- 65. Timeline for Application Experiments STAGE 1 STAGE 2 STAGE 3 Scale-up bootcamp Business support Technical execution Mentoring Loans... Venture Capital investment Bootcamp & pitch Technical and business proposal Match-making 2 months 8 months 11 months € 3000 € 247 000 € 1M
- 66. What L4MS offers Training to re-skill workers at your door step Matchmaking with system integrators, mobile robots manufactures & SME’s Funding up to €250,000€ State-of-the-art test environment within your region Business developers for innovative business and service models Technology expert for adopting latest logistics automation solutions Finance for scaling up the new business and service models
- 67. L4MS Open Call APPLY at http://l4ms.eu 1st Sept – 30th Nov 2019
- 68. Industry association Competence center Infrastructure Satellite node Expertise VTT TTU IMEC LRA TRDA OR IML PRODINTECH MANUVAL POLIMI ICENT HTEC CERTH CUT L4MS Network
- 69. Thank you! H2020 Innovation Action - This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 767642 Project Coordinator @L4MS_Eu L4MS http://l4ms.eu @L4MS_Eu L4MS http://l4ms.eu Twitter: @L4MS_Eu Linkedin: L4MS Slideshare: slideshare.net/L4MS Youtube: L4 MS http://l4ms.eu
Editor's Notes
- #3: L4MS Acceleration Program aims to help European manufacturing industry to adapt new technologies faster & cheaper.
- #6: L4MS Acceleration Program aims to help European manufacturing industry to adapt new technologies faster & cheaper.
- #7: This “one‐stop‐shop” for logistic automation will gather all the services offered by the partners.
- #13: L4MS Acceleration Program aims to help European manufacturing industry to adapt new technologies faster & cheaper.
- #15: This requires explanation.
- #33: L4MS Acceleration Program aims to help European manufacturing industry to adapt new technologies faster & cheaper.
- #41: This slide explains an example of a Company’s challenge case for the Company
- #45: Hybrid (human-robot) and interactive logistics systems: The intra-logistics systems today are either manual or automated at least with respect to task. The AGVs does not know about the manual performed tasks and can only do their pre-defined tasks. This makes the investment of an AGV system highly risky for SMEs strongly relying on manual workers. By including easy to use graphical interfaces and connected task assignments and monitoring over the OPIL, it becomes possible for manual and automated vehicles to share task information and perform tasks in a collaborative manner. The perception and dynamic planning services of the OPIL also makes it possible for the AGVs (with safety certified sensors) to operate in a workspace shared with human workers and manual transports. The evaluation will not only cover the system functionality but also the usability and productivity compared to a completely manual system. Highly configurable (multi-vendor) logistics systems: The automated intra logistic systems on the market today consist of a fleet of AGVs from one vendor specifically configured for one well defined and very structured operation environment. This leads to a vendor lock, costly reconfigurations and limited scalability. This experiment will focus on developing interfaces for plug & play integration of multi-vendor AGVs into OPIL for creating highly heterogeneous fleets of AGVs. An automatic registration process will make the new AGVs a part of the OPIL ready to perform assigned tasks. Through the plug and play capability, it should be possible to increase the overall logistics capacity by adding AGVs to an already operating fleet. Involvement of system integrators in this topic is highly valuable. Fully autonomous logistics systems: The unloading and loading operations of the logistics chain are mostly performed manually (last mile problem). Due to continuous requirement of manual work, these operations can make the partial logistics automation economically infeasible. The loading/unloading tasks are very complex non-rigid and nonstatic operations. Their automation demands special context-awareness abilities and capability to interact with a changing environment. Although generic solutions require significant research and advancements in many technologies, specific solutions for a wide range of production tasks can be developed. This experiment requires the implementation of innovative material handling and perception tools to fully automate the logistics chain including the loading and unloading operations
- #67: Firstly, each selected experiment will receive up to €3.000 equity-free for its initial funding stage and will enter the Application Experiments (AE) Definition phase where L4MS will carefully select entrepreneur on residence and CEO on residence for each experiment. The AEs will have two months to develop their Technical Proposal and an Outline Business Plan. During the next stage 12 most promising experiments will be selected for up to €247.000 equity free funding. Selected experiments will enter the execution phase where they will receive, along the 6-month full technical, financial and business support from L4MS partners to develop the experiments proposed. The best in class experiments will pass to the Scale Up phase.
- #69: LOGOS