The data that is analyzed in a period of one to three years might not be completely representative. This is due to the fact that the cycle of necessary Depot Level Maintenance (DLM) per system type takes multiple years. The duration of the DLM-cycle could differ between several system types. The intention of the BU System Recovery is to equally distribute the quantity of systems per system type over the years of one DLM-cycle. Next to that, the intention is also to equally distribute the systems, that are assigned to a particular year in the cycle, over the year itself as well. However, it can be concluded that even though all the maintenance locations implemented the system before the beginning of 2014, the available data that can be extracted from the SAP M&Fsystem is not fully representative at the time of writing. The backlog at the Logistical Department of MatLogCo is discussed in Appendix L (Commercial in Confidence) and does not have consequences for all criteria during the considered period. It does however have consequences for the average annual usage and the average days in inventory. Since the demand was not satisfied for all spare parts, the overall annual usage could be lower than required. Additionally, the total amount of purchase orders most likely was lower than required as well. As a consequence, the average inventory could have been lower in the considered period. K.4 Results of data gathering The overview of the total spare part assortment of 11944 spare parts with the data of each applied characteristic was created by the staff of the S&A-Department. Of some assortments, no spare parts have been used in the considered period. To see an overview of all the considered spare part assortments, please refer to appendix H. As mentioned in Appendix L (Commercial in Confidence), around 90% of the spare part assortment consists of very slow movers and non-movers. The annual usage of these parts in general is less than one and therefore barely ‘move’ through the spare part supply chain. There are several reasons why around half of the complete assortment can be considered as a very slow mover:
Spare parts purchased for the Life Of Type (LOT); the duration of operational functionality of a particular system type until it needs to be upgraded or replaced (Acuitas Reliability Pty Ltd). After taking the system type into operation, it could take years until these parts are used; Spare parts that will only be necessary in wartime; Spare parts that barely move for several other reasons, for example because the particular parts that are installed in the operational systems that will not break down during the LOT;
Unfortunately, the data of the very slow movers could not be gathered. Next to the very slow movers, the data also consists of non-movers. These are spare parts that have become obsolete, for example because the maintenance policy has been adjusted or because the particular system type is not in use anymore. Because of that, these parts do not ‘move’ through the spare part supply chain anymore, so significant cost savings can only be achieved on holding cost. However, savings on holding cost do not have priority for the RNLA within their after-sales service supply chain. Hence, the non-movers should not be part of the spare part analysis. In Appendix L (Commercial in Confidence), the data fields that are used to gather the required data are illustrated. In total, the data of 15455 unique parts is gathered.
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