Hazard Identification & Quantitative Risk Assessment in Manufacturing Industries

Hazard Identification & Quantitative Risk Assessment in Manufacturing Industries

Munshi Jarvik Nileshkumar1, Dr. Sandeep Yadav2, Prof. Nishant Kushwaha3

Department of Fire Technology & Safety Engineering1,2,3

School of Engineering and Technology1,2,3

Vikrant University, Gwalior (M.P)1,2,3

ABSTRACT: Ensuring safety in industries is critical to avoid catastrophic events. There are a number of statistical distributions that are fundamental to the work of reliability. In this work, we will apply the theory of the Weibull distribution to the collected event data. The Weibull distribution is used to perform safety analyzes because details of events derived from historical data are used to predict patterns followed by future events and past events. The Weibull distribution is often used in reliability work to insert error data because it is flexible enough to handle decreasing, constant, and increasing failure rates. Probability is represented by the area under the density function curve, which is calculated as an integral, and thus the median of the continuous distribution is the point on the real number line, where exactly half of the area lies to the left. The method of continuous probability distribution is the point where the probability density function reaches its maximum value.

Keywords: Industrial Safety, Reliability, Weibull distribution, safety analysis