THE RISK MANAGEMENT APPROACH BY APPLYING HAZARDOUS AREA CLASSIFICATION, WHICH HELPS IN IDENTIFYING THE CRITICAL ZONES IN A PHARMACEUTICAL INDUSTRY

Yudhistra Kumar A., Linga Murthy — Sat, 09 Sep 2023 00:00:00 +0000

Identifying the various critical zones in the pharmaceutical industry, various protection to the electrical instruments / equipment’s and the ingress protection enclosures class based on the international standards are presented. Collecting the flammability data based on the MSDS. Classifying the various location in the form of various zones by using different international standards. Application of various ATEX standards, Temperature class and ingress protection for the different equipment’s. In the pharmaceutical industry the zone 1, zone 2, zone 21 and zone 22 were classified as four, two, three, and two locations. The VOC concentration were highest in the clean room was 8 ppm during the monitoring. The ATEX standard Ex d, Ex e, Ex I, Ex n and Ex p were used in various zones for different instruments or electrical equipment’s. Temperature class 400 o C, T2 was highest inside the boiler. Ingress protection class of IP65, IP66 and IP67 enclosures are used for the various equipment’s.

INVERSE EXPONENTIATED EXPONENTIAL POISSON DISTRIBUTION WITH THEORY AND APPLICATIONS

Lal Babu Sah Telee, Vijay Kumar — Mon, 25 Sep 2023 00:00:00 +0000

This paper is based on new extension of the exponential distribution named “Exponentiated Exponential Poisson Inverse (IEEP) distribution”. The distribution is based on lifetime issues containing three parameters. Likelihood method is used to estimate the parameters of the distribution. Explicit expressions for reliability/survival function, the hazard rate function, reversed hazard rate, the quantile function and mode are introduced. Maximum Likelihood estimates as well as asymptotic confidence interval are obtained using theory of the Maximum likelihood. For illustration and application, a real data set is analyzed and compared with three other model of literature. Model fitted here is better compared to other models for data considered. All the graphical and computation analysis is performed using R programming.

International Journal of Engineering Science Technologies

THE RISK MANAGEMENT APPROACH BY APPLYING HAZARDOUS AREA CLASSIFICATION, WHICH HELPS IN IDENTIFYING THE CRITICAL ZONES IN A PHARMACEUTICAL INDUSTRY

INVERSE EXPONENTIATED EXPONENTIAL POISSON DISTRIBUTION WITH THEORY AND APPLICATIONS