Versia – Resource Optimisation (Material and Human)
Versia
Sector: Commercial sector
Business Case
This is a human resources optimisation algorithm. Using data from plant operations, receipts, and other activities, along with human workload trends over time and considering the unique work calendars of each centre, it defines and predicts the required human profiles to meet the expected demand within specific time slots.
Objectives
Match operational resources to expected demand (operations management).
Use case
Linear optimisation algorithm.
Infrastructure
Cloud
Technology
Machine learning and deep learning
Data
Historical time series of activity by production centre. Labour restrictions per person and centre. Private datasets.
Resources
Team assigned to the project. Multidisciplinary team: IT, mathematicians/physicists, organisation engineers._x000B_MATLAB.
Difficulties and learning
Adapt the unique variability of the Cooperative’s existing shifts.
KPIs (business impact and metrics of the model)
Margin for error on the real activity recorded.
Funding
Private. Successful.
Collaborators, Partners
Own resources.
