Guidelines For Improving Plant Reliability Through Data Collection And Analysis
Center For Chemical Process Safety, AIChE StaffBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
Written by reliability data experts, the book gives plant managers and supervisors the guidance they need to collect, and use with confidence, process equipment reliability data for risk-based decisions. Focusing on the process industries, it provides the protocol and techniques to collect and organize high quality plant performance, maintenance, and repair data from your own operations, and includes methods and examples on how the data can be converted into useful information for engineering, maintenance, safety, and loss prevention. This data can be used for: facility reliability/availability assessments; making decisions on the need for redundant systems; improving equipment designs; selecting the best equipment for specific tasks; estimating required work force; benchmarking current efforts both frequency and time; integrating predictive and preventive maintenance effort; integrating shutdowns with production needs; quantifying risks; and minimizing human reliability issues.
Synopsis
Written by reliability data experts, the book gives plant managers and supervisors the guidance they need to collect, and use with confidence, process equipment reliability data for risk-based decisions. Focusing on the process industries, it provides the protocol and techniques to collect and organize high quality plant performance, maintenance, and repair data from your own operations, and includes methods and examples on how the data can be converted into useful information for engineering, maintenance, safety, and loss prevention. This data can be used for: facility reliability/availability assessments; making decisions on the need for redundant systems; improving equipment designs; selecting the best equipment for specific tasks; estimating required work force; benchmarking current efforts both frequency and time; integrating predictive and preventive maintenance effort; integrating shutdowns with production needs; quantifying risks; and minimizing human reliability issues.
Booknews
With the objective of laying the foundation for an industry-wide Plant and Equipment Reliability Database, the Center for Chemical Process Safety demonstrates through examples that data needs are driven by value-added risk and other analyses. Following an overview of the CCPS database's purpose, basic operating concepts and terminology, chapters encompass its structure, applications, and quality assurance issues. Appends guidelines for data collection and submission, sample pick lists for data fields, and a procedure for developing system-level taxonomies. Sponsoring companies and their representatives are listed. Members' discount price is $108. Annotation c. by Book News, Inc., Portland, Or.