A workflow can have several functions, and they can be created to achieve different types of effects. Some workflows are created to ensure that no important detail is being forgotten, while other workflows are created to shorten the lead time between different steps and phases. This is where optimization comes in.
Carelessly one could say that optimization is a faster version of analysis, mapping, setting requirements and designing a workflow. The reason why it can go faster is that there is a workflow to start from. The optimization in turn only looks at two things:
- What is the desired effect and / or focus?
- What effect do we achieve with the current workflow?
Optimization comes into the picture if the analysis shows that the desired effect has not been achieved. Then we have to adapt and modify the workflow to achieve the desired effect.
We at Omnitas usually work with a combination of mapping and optimization. Some work processes are known, clear, pronounced and written down. Then we can use optimization. In all other cases, we make a full survey to ensure that no steps are missed.
