Robotics Fundamentals and Application Identification
This course will provide the learner with the key knowledge and skills to identify and evaluate deployment opportunities for robots within their own manufacturing organisation. Generate Return on Investment Calculations and identify potential project implementation risks.
Overview
This course is only available to those currently in employment and partially funded under the Skills to Advance initiative.
Skills to Advance is a national initiative that provides upskilling and reskilling opportunities to employees in jobs undergoing change and to those currently employed in vulnerable sectors. Skills to Advance aims to equip employees with the skills they need to progress in their current role or to adapt to the changing job market. Skills to Advance helps employers identify skills needs and invest in their workforce by providing subsidised education and training to staff.
If you would like more information on this initiative, please email our Enterprise Engagement Team at skills@kwetb.ie and they would be delighted to help.
Expression of Interest
We currently don't have this course scheduled. If you are interested in undertaking this course or looking for more information, please complete the form below and a member of our Recruitment Team will be in contact:
Course Content
This course will provide the learner with the key knowledge and skills to identify and evaluate deployment opportunities for robots within their own manufacturing organisation. Generate Return on Investment Calculations and identify potential project implementation risks.
The Robotics Fundamentals and Application Identification programme is aimed at participants who wish to learn:
•How robots work
•Potential uses of robots
•How to specify the type of robot to best suit their own contexts and applications
•How to make decisions around the suitable deployment of robotics in advanced manufacturing environments.
This course will provide the learner with the key knowledge and skills to identify and evaluate deployment opportunities for robots within their own manufacturing organisation. Generate Return on Investment Calculations and identify potential project implementation risks.
•Early stage of robotic implementation and conceptualisation, consider an end user wishing to introduce robotic automation within their manufacturing process
•Students will identify “use cases” for robotics. A range of case studies will be provided from different industry sectors and across varying applications and processes.
•Study the business case for introducing automation - Cost benefit analysis, highlight both direct and indirect savings. Calculating return in investment. Understanding the non-financial arguments for example, scarcity of work force, health concerns, improved capability.
•Understand the challenges and key barriers to introducing automation. Explore the practical, financial, HR and technological barriers to implementing automation.
•Outlining the specification, a high-level solution for the identified robot application. It is important at this stage that the correct hardware is realised.
Application specific requirements on the type of robot e.g., foundry, high accuracy, clean room, palletiser etc.
Outlining the specification, the correct payload and reach for the application. Acts as early introduction of robotic simulations units
•Basic Cell design
Introduce robotic simulation unit to perform some basic layout and reach analysis.
Use of robotic simulation unit to perform Cycle time analysis – demonstration potential throughput to end user
Introduce Robot Load Calculation Software - what must be considered from a load perspective, Payload, COM location, Inertia determines if proposed end effector will be suitable – just an overview at this stage
Building on Course 1 – highlight how different option packages can be used to assist with and make possible certain applications, for example, SafeOp for manual loading apps, Conveyor Tech for working on moving workpieces, RoboTeam, Vision Tech etc.
Main assessment will require students to carry out their own industry analysis.
•Building on what was covered in Module 1 the students will carry out case study on a manufacturing setting and propose how robotics could be introduced.
•Case studies may be selected from a list of pre prepared templates or depending on uptake from end user it could be based on an actual site visit/field study.
•Field trip to sites – get buy in from a list of end users – benefit for them too, free consultancy.
•Provided with the boundary conditions and relevant data the student will identify the most suitable area for automation within the production process and support their decision by demonstrating the benefits. In addition, they will put forward a suitable robot type and model for this application, and support their decision with simulation material and other…
•Potential to be carried out as a group project.
Programme Objectives
1.To facilitate the learner to explore robotics and their uses in advanced manufacturing environments.
2.To provide the learner with the competencies to identify and evaluate the potential uses of robots in manufacturing.
3.To provide learners with the knowledge and skills to identify and evaluate deployment opportunities for robots within their own manufacturing organisations.
4.To facilitate the learner to develop specialised vocational and academic literacies to facilitate career progression.
5.To create a Minor Award in a specialised and innovative area that may have sectoral applicability.
Who Is This Programme Intended For?
The programme is intended for the following cohorts:
•Individuals who wish to change career and re-skill for career opportunities within Advanced Manufacturing
•Individuals already employed within Advanced Manufacturing at general operative level and who wish to upskill to more advanced automated cell operation
•Technicians, engineers and line managers, employed in advanced manufacturing sectors, who have a requirement to understand how robotics could be successfully utilised in their advanced manufacturing environments
•Technicians, engineers and line managers, employed in advanced manufacturing sectors, who may have robotics already deployed in their manufacturing environment that are not being used to their maximum efficiency.
•Technicians, engineers and line managers, employed in Advanced Manufacturing sectors who wish to increase their knowledge and skills in the robotics area in order to make more informed business decisions, to improve their business’ agility, to allow the business to keep up to date with the emerging knowledge in the robotics field and to allow businesses to grow own internal talent in robotics.
•Technicians, engineers and line managers, employed in advanced manufacturing sectors, who needs to develop knowledge skills and competencies in areas such as vision and sensor systems in manufacturing operations, the industrial internet of things (IIoT), cyber physical systems and automated robotics systems.
Suitability
Due to Skills to Advance (STA) funding, this course is only available to those in employment.
