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Recommendations to Improve Spare Parts Forecasting for New Model

Kumar, Vikash (2023)

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Kumar, Vikash
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023051110091
Tiivistelmä
The objective of the thesis is to provide a final recommendation to improve the spare parts forecasting process for the new model of heavy off-highway equipment. The case company has been facing challenges in the availability of spare parts for the new models in the aftermarket business, especially at service contract sites. The thesis has been focused on the spare parts forecasting process for the service contract sites.

The research approach of this study is design research, and the study includes four stages. The first stage is a current state analysis to gather the strengths and weaknesses of the current state of the spare parts forecasting process for the new model. The second stage is a literature review of the existing knowledge and best practices based on the identified weaknesses and compiled into the conceptual framework. The third stage is a co-creation effort of the initial recommendations for spare parts forecasting, utilizing the outcomes from the previous stage. The fourth and last stage is a validation round of the initial recommendations by the senior management and stakeholders, who provide feedback to finalize the spare parts forecasting recommendations.

All weaknesses in the current state analysis were categorized into four different sections: spare parts classification, spare parts life calculation, annual maintenance plan, and performance measures. The initial recommendations in each section have the potential to improve the whole process of spare parts forecasting and spare parts availability for the new models in the service contract.

The stakeholders from different businesses and divisions were involved in the final evaluation and validation of the initial recommendations. These stakeholders are also responsible for the implementation of the recommended actions in each section. The outcome of the study, the recommended actions in each section, and their implementation will allow for improved spare parts forecasting for the new model. It will improve spare parts availability and increase machine availability at the service contract sites for the new models.
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