Workforce Planner is the algorithmic engine for the automatic processing of work shifts and the assignment of services to company staff.

Workforce Planner is an indispensable tool in all those realities that need to guarantee a continuous service to the end customer (demand) by satisfying the contractual rules of the employees, balancing the work between people and ensuring that the staff always carry out tasks for which they are skilled.

Workforce Planner assigns resources with the most suitable skills to carry out the job correctly; it is possible to classify and cross-reference staff skills and information on the needs to be met, thus improving productivity and the quality of the service provided.

Thanks to Workforce Planner’s high flexibility and wealth of functions, it is possible to draw up different work plans according to specific company needs, including the strict satisfaction of employees’ contractual constraints (such as the number of hours per week, the maximum number of consecutive days worked, etc.), the homogeneous treatment of work allocation between people, the service to be provided for company activities, etc.

Workforce Planner is based on the principle that the working hours assigned to employees on different days of the planning period “guide” the assignment of tasks (difference with the Activity Planner algorithmic engine).

Workforce Planner can be easily integrated with the IT platforms of partners who develop systems for managing human resources (attendance/absence, HR management, etc.) and represents an important added value in providing customers with a complete solution for organising company personnel.

The algorithmic engine of Workforce Planner has been developed using meta-heuristic techniques belonging to the paradigm known as “local search“; local search allows a drastic reduction in resolution times, compared to the exhaustive techniques proposed in the scientific literature. With local search, valid and applicable solutions can be derived automatically and in reasonable time.