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Industry Solution for Automotives


marketing@orsoft.de
Tel. +49 (0)3461 54 90 0

Series Production

When it comes to manufacturing automobile suppliers have some specifications compared to other industries:

  • Manufacturing of large and small series, partly on the same mechanisms
  • extensive quantity structure
  • long-term delivery agreements combined with short term changes of demands
  • complex boundary conditions (e.g. tool availability and human resources)

In this field a functional upgrading of SAP ERP is desired, without having to be considerate of the illustration of the processes regardless whether it's series production or completion with process jobs or even a combination of both. On the surface of SCHEDULE++ this difference is only noticeable by status information. This causes only faint changes in the users handling.


For an order SCHEDULE++ plans

  • Capacity,
  • Material,
  • Human resources and
  • Tools

at the same time.


So for each manipulation of a planning situation every consequence will be detected.

planning period

[to enlarge the pictures, please click them]

SCHEDULE++ is able to accomplish rough and detailed planning at one data model at the same time. During the detailed planning the allocation of a procedure is defined for a concrete position. A shorter planning period is preferred. In a medium-term period of time capacity and manpower requirements should be determined on a summarized level, e.g. on cost centre level.

planning assistant

The planning assistant helps to push and control an automatic planning with the help of optimizing algorithms of SCHEDULE++. These control possibilities are clear and coherent and the optimization results match the user’s expectations (see picture). The available algorithms are high-performance and sturdy. That allows to plan even bigger production areas efficiently.

capacity utilization report

The evaluation of the planning results does not happen via diagram in bar charts. SCHEDULE++ has a set of further possibilities to judge a planning situation e.g. by capacity utilization reports and calculation of key performance indicators (KPI).

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