Improve the Long Term Planning Process at NXP
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NXP is a global semiconductor company creating solutions that enable secure connections for a smarter world.
Each year, NXP makes a long term (five year) capacity requirement plan for its production lines. The long term plan specifies per year how many hours are required for each type of machine in its production lines. This is important for long term decisions, such as procurement of machines, as well as financial forecasts that are used for strategic decisions.
Currently, the plan, following the LTP process, is created by estimating the number of products of each type that NXP expects to sell in the next five years. Each of these products is associated with a production process that specifies the types and capacities of machines that are required to produce the process. Consequently, capacity requirements can be calculated by ‘multiplying’ the number of products of each type with the associated machine capacities.
The described LTP process is a manual process with respect to data feed and the calculations, using excel as a tool. Combined with the high number of types and the fact that the LTP process is executed by various people it gives a lot of manual effort and high risks of making mistakes. NXP aims to improve this process, to make it more automated, robust and to limit the risk of errors.
Research Goal and Questions
Against this background, the goal of the project is to:
“improve the LTP process in relation with relevance, effort and automation.”
In particular, we aim to answer the following research questions:
- Describe the process
- What is common practice in the (Semiconductor) Industry
- Relevance of the process steps
- Re-design based on characteristics
- Automate were possible & limit manual effort
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