Dismantling planning and control

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The dismantling planning and control (DPS), analogous to the production planning and control (PPS), represents a part of the work preparation in addition to the work planning. The DPS comprises the organizational / dispositive side of the dismantling . In particular, product recycling is in the foreground in DPS systems and concepts. Analogous to conventional PPS systems or concepts, the complex problems of operational planning and control are successively solved and so-called "substitute goals" are pursued. A positive influence on profitability is assumed due to short throughput times, high adherence to deadlines and delivery readiness , low stocks and high and even capacity utilization.

The fundamental difference between PPS and DPS results from the presence of a dual performance situation (service and producer performance) of the dismantling companies, a dual cost and income situation (costs and income on the input and output side), high uncertainty (e.g. regarding the amount of old devices) and high complexity (e.g. with regard to additional degrees of freedom due to the same old devices).

From this, three main requirements for DPS concepts can be derived:

  1. The planning process must be driven by dismantling products
  2. Old devices must be procured based on demand
  3. Uncertainty and complexity must be reduced

On the basis of the process similarities between production and dismantling and the requirement for low expenditure for the implementation and use of DPS systems, conventional PPS concepts (based on MRP II) are adapted according to the dismantling-induced requirements. Fuzzy and insecure data are removed using e.g. B. Forecasts and fuzzy analyzes are converted into quasi-deterministic data. Robust planning and anticipatory fault management reduce or lower the impact of faults. Following the approach of the successive planning concept, the dismantling planning is broken down into individual planning stages in order to reduce the complexity. Functions are z. In some cases supplemented (e.g. variant configuration), modified (e.g. secondary requirements planning) or already outsourced to external systems at the concept level (e.g. fuzzy analyzes, linear optimization).