Welcome to Better Factory trainings!

This section will allow you to better understand our project, learn about our challenges and get to know RAMP Marketplace and APPS.
Our team also aims at providing the necessary training contents to support the adoption of skills for deploying the Better Factory technologies and effectively implementing cyber-physical systems and collaborative robotic technologies to maximize agility in production for the personalization of products through agile manufacturing.

Onboarding to the project Better Factory

What is Better Factory?

What is the Expression of Interest?

How to apply to our Open Call?

Onboarding on RAMP

RAMP (Robotics and Automation Marketplace) is a free and open IoT platform (FIWARE) running on state-of-the-art servers, with access to cloud storage and computing, enabling connection with robots, sensors, cameras, AR/VR, and other equipment.

During the lifetime of the Better Factory initiative, RAMP will provide a 3D simulation tool to create Digital Twin for virtual testing, a co-creation space for teams to collaborate online, among other digital services.

In addition, RAMP is a one-stop-shop for Manufacturing SMEs looking to find technologies and services such as:
(1) access to experts and infrastructure from regional Digital Innovation Hubs (DIHs)
(2) access to finance
(3) advanced training to reskill workers
(4) legal and business advice.

How to get started with RAMP as a KTE?

How to create a tender on RAMP?

RAMP Docker Registry

Introduction to APPS

APPS (Advance Production Planning and Scheduling) is a combination of software services grouped per package, and hardware infrastructure for the optimization of waste, energy and resources, something that in the modern tech terminology is referred to as Lean-Agile Production, where technologies such as 3D-printing and in general Additive Manufacturing are introduced to create novel materials more efficiently (less energy), with a lower cost, better properties, and less waste.

APPS has been divided into 4 main packages:
(1) Logistics automation and optimization
(2) Production reconfiguration
(3) Cognitive HRI
(4) Resource optimization

Technology solutions offered by Better Factory: APPS

Logistics and automation library

The Logistics automation and optimization module optimizes routes, agents, and material flows in production. 

Logistics Library

The objective of the Logistics library is to provide an easy deployable suite of applications for rapid development of complete logistics solutions, including components for for task scheduling, path planning, automatic factory layout generation and navigation.

Logistics Library Workshop





Person Detection & Tracking

Tracking of workers in shared space

Person detection tracking

Agent Optimization

The objective of the Agent Optimization package is to compute the optimal number of agnets (AGVs, humans, etc.) for material transport.

Agent Optimization

Temporal Heatmap of Human Occupancy

The objective of the package is to create the temporal heatmaps that show for each square meter, and each one hour of each workday, the rate of human occupancy.

Temporal Heat Maps

Real-Time Locating System

Positional Data Acquisition

Production reconfiguration

The production reconfiguration refers to the reconfiguration of the production line and the tasks of the automated and human actors (equipment, robots, workers) in the production floor, to produce different variants / personalization of a product.

Advanced Plant Modelling (APM) & 3D Digital Twin

Create Physical Area

Create Physical Area with Map

Add a new rack to the Catalogue with STEP

Add a new workstation to the catalogue

Complementary video of the documentation

Implant objects on the physical area

Add a new rack to the Catalogue

Add a new equipment to the catalogue

Add a new production line to the catalogue

KTEs Webinar on Advanced Plant Model

How to create CAD Model

Manufacturing Process Management System

The Camunda Platform Manual

Manufacturing Process Management System

Cognitive HRI

The cognitive HRI module supports Human Machine Collaboration (HMC) aiming at combining human flexibility with repeatability of automated factory entities, such as cobots, for improving working conditions while pursuing better performances. 

COMPLEMANT experiment: an effective implementation of the HORSE Human-Cobot collaboration

Resource Optimization

The cognitive HRI module supports Human Machine Collaboration (HMC) aiming at combining human flexibility with repeatability of automated factory entities, such as cobots, for improving working conditions while pursuing better performances. 

Process Optimization

The objective of Process Optimisation is to perform process quality and efficiency optimisation using nonlinear model predictive control. The system learns the dynamics of the production process, an then it can predict the process output quality metrics given the current values for the control parameters.

The user can also make simulated predictions about the key quality indicators with alternative control parameter values, so as to seek for better control. Moreover, the system can also find optimal control values given the desired output quality and optimisation constraints, and can thus be used as an advisory tool for the operator or as an autonomous closed-loop controller.

Process Optimization