Building Digital Twins with 3-Cubed: Information and Metrics
Digital twins are becoming increasingly popular among operations leaders and solution architects who want to optimize their company's operations. In this blog post, we will dive into the process of building digital twins with 3-Cubed, a comprehensive framework that helps in understanding the information and metrics needed for this purpose.
Digital twins, they are essentially virtual replicas of physical assets, systems, and processes, used for simulation, analysis, and optimization. Building a digital twin of your operations can provide valuable insights into areas for improvement and allow for faster, more informed decision making.
Building a digital twin of your company's operations seems like a complex process, but with 3-Cubed, it can be much easier. The process information and metrics required to create your digital twin are comprehensive, but they are also the bare minimum that you need to define all the elements of your operations. All the information is readily available in digital format, documentation, or even in people's heads. You don't need accounting-level accuracy, just good enough information. 3-Cubed provides all the libraries, machine learning support and validation algorithms to support you as you create a comprehensive model of your operations, covering all the PROFIT elements.
The Information Required
Process Map: Cross-functional process map at level 3, including teams, start/end activities, decisions, and arrows
Outcome: Identification of end activities representing rejections
Teams: Details on teams, including location, work hours, shift length, and team size
Product: Output of each activity, determining input for next activity and activity volume
Volume: Number of times each activity is performed, volume of preceding activity is next activity's volume
Average Handle Time (AHT): Time taken to perform activity once
Wait periods: Wait times between activities, typically between different teams, expressed as delays, times of day, end/start of day
Deadlines: Timing requirements for completing tasks, absolute or relative deadlines
Systems and Applications: Software used for each activity
Forms and Modes: Forms and mode of document movement (digital, paper, image, phone, video)
Rules and Competency: Forms elements defining calculations, guidelines, templates, policies and classified as Fact, Computation, or Judgement
Controls and Objectives: Goals to ensure process quality and compliance, control activities selected to meet objectives
NVA activities: Identification of non-value-adding activities (routing, reporting, recording)
Salaries: Average salary paid to each team
Seat cost: Average seat cost per location
This information is then used to compute 360° cost, control and client experience metrics.
Metrics Computed
Cost Metrics
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Client Metrics
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Control Metrics
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Conclusion
While the process information and metrics required to build a digital twin may seem like a lot, 3-Cubed provides libraries and machine learning support, particularly for the qualitative elements such as products, forms, business rules, competency, control objectives, and NVA. The time taken to build the model is a fraction of the time taken to do this exercise with multiple transformation tools and techniques. Get started today and optimize your operations with the power of a digital twin!
