Sara Raimondi
Scalable Integration of Machine Vision Systems in FMCG Lines. A study on Lead Time, Planned Downtime and Capital Optimization.
Rel. Daniela Maffiodo, Alexander Lutzow. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Meccanica, 2025
Abstract
In the fast-paced world of Fast-Moving Consumer Goods (FMCG) manufacturing, minimizing planned downtime and optimizing lead time are critical for maintaining high productivity and operational efficiency. With the growing adoption of machine vision systems, their increasing performance capabilities, and the significant reduction in associated costs, these technologies have become the preferred solution for quality control across production lines. Today, almost every quality check is conducted using machine vision systems and the benefits of using these systems over manual inspection are evident: machine vision systems offer higher speed, repeatability, and objectivity, as well as the ability to operate continuously without fatigue. However, the implementation of such systems often necessitates planned downtime, which is challenging to schedule in the highly dynamic FMCG environment.
Furthermore, the setup and integration phases can be critical bottlenecks, potentially affecting the entire system’s lead time
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