Models are used for resource utilization. The aim is to efficiently use resources- which includes people and skills- to achieve macro goals, reduce costs and much more.
Resource Modeling is a great tool for decision-making. It has helped companies save millions of dollars.
Further being discussed is a hypothetical case study regarding the same.
What can resource modeling do?
The initial set up for migrated process is a big challenge because the skill type of the human resource as well as how many employees will be needed is a tough question to answer.
Lean Six Sigma tools are vital for process stabilization and performance improvement.
Key questions that resource modeling answers are-
- What are the expected constraints and outcomes?
- Which is the resource that should be deployed?
- Are the influencing factors interrelated?
- How can maximum capacity be ensured?
- On what basis should the human resource be deployed- skill, geography, etc.?
- How can cost effectiveness be maximized?
Server migration across the globe requires resource modeling. The goal, in the case of this example, was to keep the output time under 60 seconds.
The team daily recorded data for the output time and some independent variables through brainstorming. The information was collected at 3 different locations.
The first step for building the model was to identify a relevant variable.
The second step was to understand the relationship between output time and input variables using tools like box plot and scatter diagram.
Stepwise regression was used to shed out unrelated variables and hold onto important variables.
The reduced set of variables included- number of client and their location, life of the hardware and human resource deployed.
A suitable model was built around the same.
In short the resource model helped in planning and determining the resources required to operate smoothly and gain desired results.