۱- Motivation

۲- Flow of materials and components

۳- Logistics simulation

۴- Maintenance management plan

۵- Summary and conclusions

References

Abstract

The DEMO Oriented NEutron Source (DONES) is the dedicated facility for testing and enabling of the qualification for different materials to be utilized in the future fusion reactor DEMO. The neutron irradiation damages not only the material samples to be tested but also impacts the plant hardware in and around the Test Cell which makes regular maintenance mandatory.
In order to keep the plant availability high, a short as possible downtime for maintenance is the overarching goal. Logistics helps enabling this with analyzing the flow of parts and components with special emphasis on the building layout, suggest improvements and optimization potentials. Transportation processes are then modelled and simulated to find an optimum. Taking into account warehouse locations and spare part policy, realization may lead to an optimum Availability-to-Cost-Ratio from the logistics point of view.
In this paper an overview on the different methods of logistics optimization, the individual approaches and goals as well as on their interdependencies is given. Input and output data, boundary conditions, description of the process of integration complement the paper.

Motivation

Due to very high neutron flux in dedicated areas (over 1e10n/cm²/ s) [1] and Gamma irradiation matter that is used in the TC (Test Cell) and also in some of the related systems as e.g. Accelerator System, Lithium Loop is deeply impacted and damaged in its structural integrity. Extrapolating this excerpt, it is evident that preventive and predictive maintenance activities must be scheduled regularly for the entire facility to avoid critical failures during the neutron irradiation tests. In order to keep the availability high [2], the overarching goal is a short as possible downtime. Firstly the Flow of Material has to be carefully analyzed considering all related boundary conditions of parts and components like sizes, shapes, weights and etc. with the aim for an optimum plant layout. Secondly the transportation processes have to be modelled and subsequently simulated in order to find an optimum arrangement. Thirdly the previous results are taken into account in order to design a maintenance management plan described herein by the two example aspects of finding an optimum warehouse location and optimum spare part policy. The latter helps e.g. avoiding stock-outs by optimizing aspects of safety stock level, reorder points, replenishment processes and etc. These three major aspects are enlightened herein and concluded in an integrated manner that may lead to an optimum Availability-to-CostRatio from the logistics point of view.