Time Intellegence by XIMES

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From Status Quo to Optimum:
The features of [OPA]

The Operating Hours Assistant [OPA] is aimed at helping you to display the status quo – as a table, shift diagram or blue cover graph. In the second step, the software helps to analyse the quantitative and qualitative demand of working times and to visualise it as a red defined graph.

Finally, considering the frame requirements within the defined parameters (e.g. allowed length of shifts), the [OPA] will suggest possible working time models until one optimised model is found.

The [OPA] is made up of three building blocks:

1. Building Set: General

The General building set contains building blocks for very simple calculations. Neither qualifications, nor changing annual distribution of work volume are taken into consideration. Additional building sets are extensions of the General building set.

  • Calculation of substitute personnel demand
  • Definition of demand
  • Cover of demand with duties and staffing levels
  • Calculation of workforce requirements for the Cover building block


2. Building Set: Qualifications

With this building set, which allows consideration of qualifications, you can calculate if the current workforce is sufficient or where you might have to face high or low cover for various requirement profiles or employees with multiple qualifications.

  • How should the demand for different qualifications and activities be defined?
  • How should weekly working times and qualifications of existing employees be described?
  • How can high and low cover situations be avoided?
  • How can different activities be taken into consideration?
  • How do individual solutions compare against each other?


3. Building Set: Annual Planning

The Annual Planning building set enables you, for instance, to produce detailed models for the period of one year, which take changing working volume as well as the changing bank holiday calendar into consideration.

  • Event calendar
  • Shift models and service hours
  • Time balances and production unit costs


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