Chapel have specialised in the creation of digital twins that represent operating environments. We have experience of building representations of complex system-of-systems, where multi-dimensional influences can impact apparently unrelated outcomes. Our knowledge of systemic analysis techniques has allowed us to resolve complexity and derive high confidence solutions to problems that are otherwise intractable. For example,
Resolving disparate ‘intelligence’ and third-party operating models to generate threat interception information;
Building a representation of a region’s justice case handling and resolving how digital enablement, business change and automation, will impact estates demand.
Chapel’s Strategic Digital Twin & Simulation “Trialled, Proven, Effective”, Border Force, October 2019.
Simulation
Chapel offer a range of simulation services that include:
Discrete event simulation;
Probabilistic simulation;
Business process modelling;
Optimisation modelling;
Complex risk modelling.
We work with leading academics from UK universities such as London School of Economics and Cranfield to ensure we bring extensive experience to bear on the high value components of the service and ensure that we are employing the very latest innovation in techniques. Our offerings are often based on the subtle employment of ‘COTS’ products, which is how we are able to assuredly provide high quality, agile and value for money modelling services.
Benefits
These services can provide the following sort of benefits:
Transparently supports evidence based decision making and business cases;
Enables leaders to visualise solution outcomes;
Provides low cost capability for testing with no operational impact;
Enables ‘right first time’ implementations, eg, delivering ‘digital transformation’;
Promotes meaningful and VFM continuous improvement planning;
Can identify cost reductions without impairing performance;
Provides an efficiency focus on consolidation, rationalisation and modernisation;
Identifies optimal distribution of assets (Target Operating Model) to maximise performance.
Promotes better ways of working increasing efficiency and effectiveness.
Relevance
Modelling can be a means of sharpening the scope and test parameters for prototyping concepts, developing services, shaping transformation and/or making transitional improvements, which reduce costs by resolving levels of complexity and associated uncertainty;
Developing a model representing segments (and eventually the whole) of an operational environment including people, processes, technology, and data can function as a Design Authority specification against which development, implementation, transformation, transition, and continuous improvement can be managed for VFM and targeted effectiveness;
Adoption and implementation of representative models would enable a ‘Design Authority’ to control and dynamically manage development initiatives by rapidly examining ‘what if’ scenarios and provide evidence for investment decision making;
Modelling yields most benefit to programmes when adopted earlier than later, particularly as it helps avoid ill informed decision making, i.e., reduces errors and increases likelihood of better outcomes. These cost avoidance and effectiveness benefits far outweigh the cost of early ‘up stream’ modelling.