<p>This paper employs a fuzzy methodology for reliability, availability, and maintainability (RAM) analysis of milling unit in a sugar industry in Western U.P., India, in the environment of uncertainty. The fuzzy methodology has been employed to tackle the ambiguity in failure / repair data of considered unit. For this purpose, triangular fuzzy numbers (TFNs) and trapezoidal fuzzy numbers (TrFNs) both have been utilized to fuzzify failure / repair data for the very first time in sugar industry analysis. The fuzzy methodology incorporates fuzzy theory with <i>λ–τ</i> technique to estimate the key reliability parameters like, failure rate, repair time, expected number of failures (ENOF), mean time between failures (MTBF), reliability, availability and maintainability of milling unit modelled by Petri Net (PN). Further, the obtained fuzzy results have been defuzzified to assess the performance of the milling unit. The findings obtained with both types of fuzzy numbers have been compared. It is revealed that with an increase in uncertainty level, the increasing / decreasing trends of reliability parameters are same for TFNs and TrFNs. However, using TrFNs the percentage changes of reliability parameters with respect to spread expansion are slightly more than those using TFNs. Subsequently, sensitivity analysis has been carried out to examine the effect of reliability parameters on performance of considered unit. This analysis provides valuable insights for industry maintenance and operational management, enabling a more realistic understanding of the milling unit’s performance.</p>