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[Audio] Evolving Lean The “Lean Coaching” program has been delivered through Callaghan Innovation for the last 10 years and before that by N-Z-T-E for over 7 years. The content format and delivery have not substantially evolved over that period. The journey begins with an optional one-day workshop focused on understanding Lean philosophy and identifying non-value-adding activities. Following this businesses select a Lean coaching partner to work with over a 12-month period. The coaches integrate Lean practices into business processes while guiding employees through the necessary cultural changes. To support businesses in adopting Lean Callaghan Innovation currently provides funding for 40% of the coaching costs up to a maximum of $20 000. After 17 years it is now the right time to evolve the Lean program to better meet the needs of businesses for the next 10 years as we move into the era of IoT automation robotics big data and AI..
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[Audio] Traditional Lean is a well-established methodology with well documented benefits however with the ever-increasing ease of access and decreasing cost of IoT sensors data acquisition automation robotics and A-I agents a convergence is occurring between Lean and what is coined as Industry 4.0 (I4.0). These technologies offer the potential of significant productivity gains for all businesses. However deploying I4.0 technologies within a Lean methodology framework and the cultural changes Lean brings significantly amplifies those potential gains with industry pundits suggesting productivity gains of 40% are possible. However integrating Lean and I4.0 is not an easy task with many barriers to overcome: High initial investment cost Lack of available infrastructure Lack of skilled workforce Lack of coordination in supply chain Lack of understanding of Industry 4.0 Lack of standardisation Lack of training on Lean Lack of database management system Lack of available data for data analytics Lack of top management commitment Risk of security breaches Resistance to change Lack of consultants in the field Lack of clarity among different functional groups Risk of disruption Those in Blue are key barriers..