This programme is essential for
anyone involved in the
maintenance process from entry
level operators to engineers and
team leads. For entry level and new hire operators and
technicians the systematic problem solving,
and collaboration skills will help them
become effective team members and to
troubleshoot basic maintenance issues.
Through hands-on practice with real manufacturing scenarios, learners will apply proven Lean and Six Sigma methodologies while building a strong foundation in process capability, statistical process monitoring, Gauge R&R studies, and calibration.
This course will prepare learners to become sought after lead techs who can use powerful tools to analyse production metrics in a data rich environment as part of a team and bring proposed solutions to production managers. Learning tools which will enable repeated, varied, and guided practice will prove to the learner that application of the process will yield concrete results. Software simulators will be made available to allow the learner to engage in further autonomous practice between classroom sessions.
Though no specific qualification is required participants should have production experience. Competence in written and spoken English is essential. International students whose first language is not English are required to have an appropriate score in an approved examination in English language. We accept an IELTS test score of 6 or equivalent. Please contact us if you would like to discuss.
At the end of the course the participants will be able to:
Lead and deliver data-driven process-improvement projects on automated systems.
Write excellent problem statements, draw effective block diagrams, escalate and communicate effectively across the manufacturing team.
Describe using block diagrams the inter-dependence and relationships of the sub-systems that make up a system and how to utilise these diagrams to assist process improvement and team communication.
Apply process improvement tools to improve Overall Equipment Effectiveness. Implement DMAIC projects, collating and presenting relevant metrics. Lead groups in problem analysis and representation techniques.
Become effective participants in continuous improvement projects.
Through hands-on practice with real manufacturing scenarios, learners will apply proven Lean and Six Sigma methodologies while building a strong foundation in process capability, statistical process monitoring, Gauge R&R studies, and calibration.
This course will prepare learners to become sought after lead techs who can use powerful tools to analyse production metrics in a data rich environment as part of a team and bring proposed solutions to production managers. Learning tools which will enable repeated, varied, and guided practice will prove to the learner that application of the process will yield concrete results. Software simulators will be made available to allow the learner to engage in further autonomous practice between classroom sessions.
Though no specific qualification is required participants should have production experience. Competence in written and spoken English is essential. International students whose first language is not English are required to have an appropriate score in an approved examination in English language. We accept an IELTS test score of 6 or equivalent. Please contact us if you would like to discuss.
At the end of the course the participants will be able to:
Lead and deliver data-driven process-improvement projects on automated systems.
Write excellent problem statements, draw effective block diagrams, escalate and communicate effectively across the manufacturing team.
Describe using block diagrams the inter-dependence and relationships of the sub-systems that make up a system and how to utilise these diagrams to assist process improvement and team communication.
Apply process improvement tools to improve Overall Equipment Effectiveness. Implement DMAIC projects, collating and presenting relevant metrics. Lead groups in problem analysis and representation techniques.
Become effective participants in continuous improvement projects.
