This extensive package describes what are the common challenges smaller companies face when automating internal logistics. Industrial IoT platform OPIL can help connect different factory equipment under one platform, and with a 3D simulation tool, testing and optimizing the desired solution virtually before final investment decision. Also they key steps and FAQ's of the Open Call process for potential applicants.

1. Automating factory logistics
with L4MS

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?

3. LARGE
INVESTMENTS
€
Why?
SKILLS &
EXPERTISE
AVAILABLE
SOLUTIONS
PRODUCTIVITY
CHALLENGE

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

17. OPIL: System overview

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

30. OPIL: Human Machine
Interface

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.

33. Case Chemi-Pharm
Estonian manufacturer

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