Pier Luigi Scotti
Integration of Scheduling Methods and Simulation in Ferrari’s Plant.
Rel. Maurizio Schenone. Politecnico di Torino, Master of science program in Mechanical Engineering, 2024
Abstract
This study examines the painting process at the Ferrari plant, with the aim of developing a vehicle sequencing solution based on the plant's specific constraints. The main objectives of the research include the analysis and mapping of the various paths a vehicle can take during the production process, the definition of weights associated with each path, model, and paint, the identification of constraints within the plant, the determination of the plant's capacity, and the drafting of an algorithm to achieve optimal vehicle sequencing. The methodology followed includes an initial phase of analysis and data collection to identify the available information necessary to solve the problem.
First, the possible vehicle paths are identified and subsequently, appropriate clusters are defined for their identification based on analyzable cases
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