Riassunto analitico
This work, after an initial review of existing literature for the Make or Buy decision process inside complex organizations, is focused on the design, development and implementation of a Make or Buy process optimized for the Motorsport Industry and in particular for a F1 team. The Make or Buy workflow inside a F1 team is characterized by the very short time between the final components design and their required availability for the scheduled race weekend that make difficult to either optimize internal machinery shop and external suppliers’ availability. This work started analyzing the pre-existing Make or Buy decision process in the Visa Cash App Formula One Team in Faenza (Italy), identifying bottlenecks and process wastes and possible alternative solutions. The solution selected required the development of a software interfaced with the company ERP system and it allowed a centralized control of the process within a single department. Several tests were performed on the application developed to validate the efficacy and efficiency of the new process in terms of time to production, machine shop saturation, external procurement planning and resources utilization before its full adoption. The results certified an improvement in the time spent doing the analysis from an average of two working days to an average of three working hours while maintaining optimal production performance parameters. The study was extended to optimize raw material inventory management with the definition of optimal stock and safety stock levels to implement in the already present Consignment stock strategy adopted by the company and connecting it to the Make or Buy decision process.
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Abstract
This work, after an initial review of existing literature for the Make or Buy decision process inside complex organizations, is focused on the design, development and implementation of a Make or Buy process optimized for the Motorsport Industry and in particular for a F1 team. The Make or Buy workflow inside a F1 team is characterized by the very short time between the final components design and their required availability for the scheduled race weekend that make difficult to either optimize internal machinery shop and external suppliers’ availability. This work started analyzing the pre-existing Make or Buy decision process in the Visa Cash App Formula One Team in Faenza (Italy), identifying bottlenecks and process wastes and possible alternative solutions. The solution selected required the development of a software interfaced with the company ERP system and it allowed a centralized control of the process within a single department. Several tests were performed on the application developed to validate the efficacy and efficiency of the new process in terms of time to production, machine shop saturation, external procurement planning and resources utilization before its full adoption. The results certified an improvement in the time spent doing the analysis from an average of two working days to an average of three working hours while maintaining optimal production performance parameters. The study was extended to optimize raw material inventory management with the definition of optimal stock and safety stock levels to implement in the already present Consignment stock strategy adopted by the company and connecting it to the Make or Buy decision process.
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