There are two goals I always focus on with manufacturing processes that go hand and hand with each other. Increasing and stabilizing predictability of outcomes within our processes - by increasing predictability, we have a better understanding of what's happening in our processes from day-to-day, making tweaks and improvements to our systems much more digestible to further increase quality and scale. The second goal is to reduce operator burden of manual tasks that prevent them from being to focus on value-add critical tasks. This doesn't always mean automation. Typically for us, it's removing processes that transfer material manually or adjusting equipment constantly for the condition of run parameters. The more we remove these wasteful tasks the better value-add efficiency we can create for our operations team.
The future I envision for the manufacturing business includes becoming a data-driven, highly automated, and sustainable enterprise. This involves leveraging technologies like AI, IoT, and advanced analytics to optimise operations, improve decision-making, and create new customer experiences. The goal is to achieve greater flexibility, agility, and speed while maintaining efficiency and resilience in the face of challenges like supply chain disruptions and climate change. The business will not only enhance its competitiveness but also contribute positively to the environment and society. A key goal we're working towards is to implement a fully automated production line by the end of 2025, aiming to increase production capacity by 40% while simultaneously reducing our carbon footprint by 20%. This goal aligns with our broader vision of becoming a model for responsible and efficient manufacturing practices, ensuring we meet both operational demands and environmental responsibilities.