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Budget and Capacity Planning
ORion-PI® Workforce@Logistics not only allows the operational planning of your workforce but also considers long-term planning scenarios. The solution thus responds to the increasing importance of strategic budget and capacity planning issues.
Budget and capacity planning with ORion-PI® includes:
- Scenarios for long-term assignment of your workforce capacities
- Productivity development
- Calculation of the demand of temporary workers
- Computation of optimal working time models
- Demand forecasts, overall or within the budget frame
- Evaluation for controlling reports
- Long-term vacation planning
- Scenarios considering vacation time and sickness percentages
- Development of qualifications
Budget and capacity planning with ORion-PI® is based on forecasted demands. Derived from historic data they form the base for future planning issues, together with planned sales figures.
ORion-PI® forecasts the staff availability in the future and matches the results with the predicted personnel demand. In the process the software considers qualification profiles and possible bottlenecks. Where required it can even initiate further trainings, help to identify optimal shift models or evaluate how to best balance permanent and temporary workers per period.
Budget and capacity planning with ORion-PI® allows the simulation of planning scenarios in order to analyze the productivity development, to control the throughput or to simulate working time models. All relevant data can be modified interactively. The graphical and tabular representation of changes in the plan and its effects on the rest of the process chain provide for invaluable transparency. The quick comparison of alternative panning scenarios now is possible.
Furthermore, ORion-PI® allows the generation of reports for strategic controlling issues. In addition to the analysis of single cost centers you can also create overviews of the development of qualifications. All of these are meant to support strategic decision-making, can be saved and compared with alternative scenarios.
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