With defence spending increasing and civil aviation passenger numbers predicted to rise, could this be the year that they put their ‘factory of the future’ strategies to the test?
Digitalisation can be leveraged not only to drive operational efficiency and asset performance but also used strategically to provide enhanced value for customers and the wider supply chain. To achieve successful digital transformation and adopt Industry 4.0 technologies, businesses need a digital transformation roadmap that helps to ensure all technologies and skills of the company are fully considered, and robust data-driven plans can be formulated to drive growth.
Digital transformation strategies are designed to manage costs, improve processes and boost operational efficiency. By having the correct data to make insightful decisions and adopt and implement the right technologies, businesses will be able to optimise productivity, modernise legacy processes and drive profitability.
We focus on assessing, adopting and integrating digital transformation across four key areas of operational management: production, quality, maintenance and the supply chain. Using our digital platform we support clients in determining their current position, identifying areas where improvements can be made and delivering valuable business intelligence. In each of these four areas, we apply operations assessment, management and execution to drive efficiencies and elevate operational performance.
We enable better business insights by seeking to enhance data quality and create more comprehensive review processes. By reviewing operational KPIs and risk management processes and combining them with enhanced business insights, we can support with strategic planning as well as specification and business case development.
We provide clients with KPI improvement plans through accurate monitoring of key technologies and data insights. At this management stage, as well as seeking to optimise processes and the use of technologies, we also seek to engage employees and stakeholders in the digital transformation process, addressing mindset challenges and any skills gaps that may be present.
By incorporating Industry 4.0 technologies combined with data migration support, solutions testing and route planning, we can enable smooth integration with mandated systems to set in motion digital transformation across the business for sustainable growth and achievement of the business’s full potential.
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The benefits of best practice
By providing businesses with a digital transformation framework, we help our clients adopt and integrate Industry 4.0 technologies, which elevate business-wide processes to achieve optimal value.
Improvement in process and production efficiency
By integrating key technologies into the business, a greater understanding of operational effectiveness is delivered through real-time KPIs and automated data collection. This understanding can be harnessed to promote improved process and production efficiency.
More efficient inventory and supply chain management
By understanding key demand drivers, we can support our clients with improved forecasting, traceability and reduced inventory. Acting upon valuable data insights, we can create better cost and time efficiencies throughout the supply chain and inventory management.
Better quality management
With accurate measurements of right first time and root cause analysis, we identify where improvements can be made for better-quality delivery and put in place key technologies and strategies to support these changes.
Ease in maintenance management
With digital technologies collecting and organising data using predictive and condition-based monitoring, businesses can learn from past experiences to avoid future failures, reduce unplanned downtime and limit repair costs.
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We share industry insights across aspects of EV Supply Chain, Battery Manufacturing and Circular economy including what businesses can do to create certainty around business growth.
Product and pricing decisions are key to survival. But how can a complex business make these decisions amidst so much uncertainty? The answer lies in data understanding.