Impact of forecasting changes by planner on the forecasting accuracy – Royal Netherlands Air Force
|Company Name / Department||
Royal Netherlands Air Force
Mark van Someren
|Optional remote work||Yes, possible. Preferred at least 3 days at RNLAF. Possibility to combine after each other and stay on Airbase.|
|Travel expenses (own account or reimbursed by the company)||Reimbursed by company|
|Housing arranged by company||Possibility to stay on Airbase|
|Housing expenses (how much per month, own account or subsidized by the company)||Subsidized by company|
|Internship compensation||€700-750 per month|
February 1, 2024
Royal Netherlands Air Force (RNLAF) consists of multiple commands. Every command is responsible for their own task. The Air Support Command (ASC) in Hoogerheide is responsible for the support of the operational commands. Within the ASC, there is a department responsible for the sustainment of weapon systems. Every weapon system support team consists of people with multi-disciplinary background (Financial, Logistics, Ops, Purchasing, Technical)
The sustainment of the weapon systems of the RNLAF is costly. Many Line Replaceable Units (LRU) of the weapon systems of the RNLAF are expensive and therefore repaired (internally/externally) if broken. The RNLAF uses commercial software to propose inventory levels for their LRUs. The inventory levels are based on desired service level, lead times (repair turnaround times), and sometimes uncertainty. These inventory levels can vary on a monthly base. The RNLAF sends LRUs to repair stations internally or externally (commercial companies) based on the proposed inventory levels.
The asset manager (planner) of RNLAF updates the system on a monthly base with manual corrections which is time consuming. The RNLAF is interested if these manual changes results in a higher forecasting accuracy.
Furthermore, the RNLAF is interested in other possible changes that improve forecasting accuracy.
Goals of the project:
Validate how much improvement planner changes has on the forecast accuracy.
If possible, propose ways to improve forecast accuracy
Recommendations to improve forecasting accuracy
Essential student knowledge:
- Inventory management
- Data analysis
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