The project delivered a strategic digital twin of a naval shipyard, simulating work on 28 hulls from Engineering through four Production work-stages, from 2011-2049. Simulator inputs characterized events and conditions that affected yard work: pandemic, a strike, the generational wave of workforce retirements at US shipbuilders, along with government procurement problems and regular Navy design changes.

The Yard-Wide Simulator independently reproduced monthly work progress and labour-hours expended for each individual hull in each work-stage, with a median error rate of under 4%.

Risk-based analyses also demonstrated significant performance gains from various strategic shipyard investments.

This platform can quickly deliver a yard-wide digital-twin for any naval shipbuilder

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The project delivered a strategic digital twin of a naval shipyard, simulating work on 28 hulls from Engineering through four Production work-stages, from 2011-2049. Simulator inputs characterized events and conditions that affected yard work: pandemic, a strike, the generational wave of workforce retirements at US shipbuilders, along with government procurement problems and regular Navy design changes.

The Yard-Wide Simulator independently reproduced monthly work progress and labour-hours expended for each individual hull in each work-stage, with a median error rate of under 4%.

Risk-based analyses also demonstrated significant performance gains from various strategic shipyard investments.

This platform can quickly deliver a yard-wide digital-twin for any naval shipbuilder

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DAS was commissioned to develop a workforce planning model able to assess the future supply of skills into the sector. We developed a model that could  generate projections of workforce supply over the next twenty years. It enabled different approaches to increase the nuclear workforce to be explored, such as changing intakes to university, upskilling the workforce, and improving retention rates. Significantly, the model took less than five seconds to run, leading to rapid strategic insight. It also incorporated the workforce skill requirements from previously completed demand modelling. This enabled a comparison between supply and demand requirements. Our model has been used to develop nuclear skills strategy, supporting the sector to ensure they have the long-term skills to deliver critical programmes of work.

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DAS was commissioned to develop a workforce planning model able to assess the future supply of skills into the sector. We developed a model that could  generate projections of workforce supply over the next twenty years. It enabled different approaches to increase the nuclear workforce to be explored, such as changing intakes to university, upskilling the workforce, and improving retention rates. Significantly, the model took less than five seconds to run, leading to rapid strategic insight. It also incorporated the workforce skill requirements from previously completed demand modelling. This enabled a comparison between supply and demand requirements. Our model has been used to develop nuclear skills strategy, supporting the sector to ensure they have the long-term skills to deliver critical programmes of work.

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DAS took a ‘whole system’ approach to the development of the model, considering evidence-based factors found to influence nurses’ career choices, as well as stakeholder feedback. The simulation mode we  developed provided the Health Foundation with detailed workforce supply projections using different methods of attraction, retention, and development, over up to twenty years.

The model provided a tool to evaluate different long-term workforce supply strategies and could be used to enhance evidence based decision-making capabilities extensively.  The model can also anticipate future nurse supply gaps and could be used to optimise workforce planning policies for long-term sustainability. The REAL Centre has used the model to support projections of future NHS workforce supply and demand in England, up to 2030/31.

Nurse supply model: overview – The Health Foundation

NHS workforce projections 2022 – The Health Foundation

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DAS took a ‘whole system’ approach to the development of the model, considering evidence-based factors found to influence nurses’ career choices, as well as stakeholder feedback. The simulation mode we  developed provided the Health Foundation with detailed workforce supply projections using different methods of attraction, retention, and development, over up to twenty years.

The model provided a tool to evaluate different long-term workforce supply strategies and could be used to enhance evidence based decision-making capabilities extensively.  The model can also anticipate future nurse supply gaps and could be used to optimise workforce planning policies for long-term sustainability. The REAL Centre has used the model to support projections of future NHS workforce supply and demand in England, up to 2030/31.

Nurse supply model: overview – The Health Foundation

NHS workforce projections 2022 – The Health Foundation

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As part of our work, we designed and delivered a multi-agency workshop to investigate the factors that influence the level of demand for wireless technology. It was attended by senior stakeholders from across the Government.  The outputs from the workshop were used to create four credible but extreme potential future scenarios for wireless technology use.  We then quantified these scenarios by taking a technology ‘Use Case’ approach. During this, a series of sector specific Use Cases were generated, and the total demand for each use case was calculated.

The scenarios we developed provided certainty and have been used to inform government policy on future wireless connectivity investment.

Wireless 2030 – Government Report

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As part of our work, we designed and delivered a multi-agency workshop to investigate the factors that influence the level of demand for wireless technology. It was attended by senior stakeholders from across the Government.  The outputs from the workshop were used to create four credible but extreme potential future scenarios for wireless technology use.  We then quantified these scenarios by taking a technology ‘Use Case’ approach. During this, a series of sector specific Use Cases were generated, and the total demand for each use case was calculated.

The scenarios we developed provided certainty and have been used to inform government policy on future wireless connectivity investment.

Wireless 2030 – Government Report

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The analysis DAS completed provides a unique assessment of projected demand for critical materials in the UK nuclear sector, and insight to support anticipatory long-term investment in the critical materials supply chain. DAS developed and refined the demand models internally, using the anticipated installation and retirement rates of nuclear reactors.

Our study compares projected demand models against a supply chain analysis.  We applied a top-down Bill of Materials (BoM) approach, generating a value chain map of the nuclear component supply chain. We identified bottlenecks in the value chain, including capacity assessments at each stage of the supply chain, production concentration risks, comparison with future demand and geopolitical risks. The outputs of the study include a discussion on the supply issues, risks and potential mitigation strategies.

The report and its recommendations are being used to inform the UK government and UK nuclear industry of the supply risks and mitigation strategies associated with the UK’s critical material requirements for nuclear deployment and operation.

The post Critical Minerals: Supply and Demand Dependencies for UK Nuclear appeared first on DAS Ltd.

The analysis DAS completed provides a unique assessment of projected demand for critical materials in the UK nuclear sector, and insight to support anticipatory long-term investment in the critical materials supply chain. DAS developed and refined the demand models internally, using the anticipated installation and retirement rates of nuclear reactors.

Our study compares projected demand models against a supply chain analysis.  We applied a top-down Bill of Materials (BoM) approach, generating a value chain map of the nuclear component supply chain. We identified bottlenecks in the value chain, including capacity assessments at each stage of the supply chain, production concentration risks, comparison with future demand and geopolitical risks. The outputs of the study include a discussion on the supply issues, risks and potential mitigation strategies.

The report and its recommendations are being used to inform the UK government and UK nuclear industry of the supply risks and mitigation strategies associated with the UK’s critical material requirements for nuclear deployment and operation.

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