Industrial Process Plant Construction Estimating And Man-Hour Analysis

Download or read book entitled Industrial Process Plant Construction Estimating and Man-Hour Analysis by author: Kenneth Storm which was release on 22 May 2019 and published by Gulf Professional Publishing with total page 348 pages . This book available in PDF, EPUB and Kindle Format. Industrial Process Plant Construction Estimating and Man-Hour Analysis focuses on industrial process plants and enables the estimator to apply statistical applications, estimate data tables, and estimate sheets to use methods for collecting, organizing, summarizing, presenting, and analyzing historical man-hour data. The book begins with an introduction devoted to labor, productivity measurement, collection of historical data, verification of data, estimating methods, and factors affecting construction labor productivity and impacts of data. It goes on to explore construction statistics and mathematical spreadsheets, followed by detailed scopes of work ranging from coal-fired power plants to oil refineries and solar plants, among others. Man-hour schedules based on historical data collected from past installations in industrial process plants are also included as well as a detailed glossary, Excel and mathematical formulas, area and volume formulas, metric/standard conversions, and boiler man-hour tables. Industrial Process Plant Construction Estimating and Man-Hour Analysis aids industrial project managers, estimators, and engineers with the level of detail and practical utility for today’s industrial operations and is an ideal resource for those involved in engineering, technology, or construction estimation. Identify quantity differences with the comparison method and eliminate impacts between proposed and previously installed equipment Understand how to implement statistical and estimating methods, scopes of work, man-hour tables and estimate sheets to produce direct craft man-hour estimates, RFPs, and field change orders Set up and utilize Excel templates to automate statistical functions that will perform mathematical applications key to process plant construction