E-Book, Englisch, 348 Seiten, Format (B × H): 152 mm x 229 mm
Storm Industrial Process Plant Construction Estimating and Man-Hour Analysis
1. Auflage 2019
ISBN: 978-0-12-820022-3
Verlag: William Andrew Publishing
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 348 Seiten, Format (B × H): 152 mm x 229 mm
ISBN: 978-0-12-820022-3
Verlag: William Andrew Publishing
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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 that are followed by detailed scopes of work, ranging from coal-fired power plants, to oil refineries and solar plants, among others.
This book will aid industrial project managers, estimators and engineers with the level of detail and practical utility for today's industrial operations. It is an ideal resource for those involved in engineering, technology and construction estimation.
- Teachers users how to use day-to day worksheets to estimate equipment and piping for all process plants and power plant projects
- Identifies quantity differences with the comparison method and eliminates impacts between proposed and previously installed equipment applicable for any complexity of design, bid and contract
- Helps users 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
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Introduction to Construction Statistics Using Excel 2. Process Piping 3. Oil Refinery 4. Waste Heat Boiler 5. Pulp and Paper 6. Industrial Package Boilers 7. Diesel Power Plant 8. Coal-Fired Power Plant 9. Solar Power Plant 10. Boiler Tube Replacement 11. Sample Estimates 12. Statistical Applications to Construction