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Industrial process plant construction estimating and man-hour analysis

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Industrial process plant construction estimating and man-hour analysis/ Kenneth Storm.
Author:	Storm, Kenneth,
Published:	Cambridge, MA :Gulf Professional Publishing, : 2019.,
Description:	1 online resource.
Notes:	Includes index.
Subject:	POLITICAL SCIENCE - Labor & Industrial Relations. -
Online resource:	https://www.sciencedirect.com/science/book/9780128186480
ISBN:	9780128200223 (electronic bk.)

Industrial process plant construction estimating and man-hour analysis
Storm, Kenneth,

Industrial process plant construction estimating and man-hour analysis[electronic resource] /Kenneth Storm. - Cambridge, MA :Gulf Professional Publishing,2019. - 1 online resource.

Includes index.

Intro; Title page; Table of Contents; Copyright; Preface; Introduction; Introduction; Labor productivity and analysis; Regression analysis and correlation; Nonrepetitive one-cycle time study and man-hour analysis; Estimating methods; Comparison of graphic analysis of data (Fig. 3); Unit quantity method; Factors affecting labor productivity and impacts of overtime; Work sampling and man hour analysis; Chapter 1: Introduction to construction statistics using Excel; Abstract; 1.1 Section introduction-Introduction to construction statistics using Excel; 1.2 Graphic analysis of data

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 projectsIdentifies quantity differences with the comparison method and eliminates impacts between proposed and previously installed equipment applicable for any complexity of design, bid and contractHelps 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

ISBN: 9780128200223 (electronic bk.)Subjects--Topical Terms:

812899
POLITICAL SCIENCE
--Labor & Industrial Relations.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: HD4901

Dewey Class. No.: 331

Industrial process plant construction estimating and man-hour analysis
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300 $a 1 online resource.
500 $a Includes index.
505 0 $a Intro; Title page; Table of Contents; Copyright; Preface; Introduction; Introduction; Labor productivity and analysis; Regression analysis and correlation; Nonrepetitive one-cycle time study and man-hour analysis; Estimating methods; Comparison of graphic analysis of data (Fig. 3); Unit quantity method; Factors affecting labor productivity and impacts of overtime; Work sampling and man hour analysis; Chapter 1: Introduction to construction statistics using Excel; Abstract; 1.1 Section introduction-Introduction to construction statistics using Excel; 1.2 Graphic analysis of data
505 8 $a 1.3 Linear regression and method of least squares1.4 Using Excel to forecast boiler tube replacement; 1.5 Correlation; 1.6 Time series; 1.7 The mean, variance and standard deviation measures of central tendency statistical formulas for the mean, variance and standard deviation; Chapter 2: Process piping; Abstract; 2.1 Section introduction-Piping schedules and tables; 2.2 Piping section general notes; 2.3 Schedule A-Oil refinery piping; 2.4 Schedule B-Diesel power plant piping; 2.5 Schedule C-Solar power plant piping; 2.6 Schedule D-Alloy and nonferrous weld factors
505 8 $a 2.7 Schedule E-Industrial plant piping2.8 Schedule K-Underground drainage piping for industrial plants; 2.9 Schedule G-Simple foundations for industrial plants; 2.10 Schedule M-Pipe supports and hangers; 2.11 Standard and line pipe-Wall thickness; Chapter 3: Oil refinery; Abstract; 3.1 Section introduction; 3.2 Stripper unit; 3.3 Stripper unit estimating data; 3.4 Stripper unit estimate; 3.5 Stripper unit-Equipment installation man-hours; Chapter 4: Waste heat boiler;Abstract; 4.1 Equipment descriptions
505 8 $a 4.2 General scope of field work required for each 400,000 lb./h waste heat boiler 400,000 lb./h membrane wall boiler with superheater scope of work-field erection4.3 400,000 lb./h waste heat boiler estimate data; 4.4 Waste heat boiler installation estimate; 4.5 Waste heat boiler-Equipment installation man-hours; 4.6 Scope of field work required for structural steel and boiler casing; 4.7 Structural steel and boiler casing estimate data; 4.8 Structural steel installation estimate; 4.9 Structural steel and boiler casing-equipment installation man hours; Chapter 5: Pulp and paper; Abstract
505 8 $a 5.1 Recovery boiler5.2 Reheat recovery boiler; 5.3 General scope of field work required for each recovery boiler sheet 1; 5.4 General scope of field work required for each recovery boiler sheet 2 scope of work-field erection; 5.5 Recovery boiler estimate data; 5.6 Recovery boiler installation estimate; 5.7 Recovery boiler installation man-hours; 5.8 General scope of field work required for each reheat recovery boiler sheet 1; 5.9 General scope of field work required for each reheat recovery boiler sheet 2; 5.10 General scope of field work required for each reheat recovery boiler sheet 3
520 $a 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 projectsIdentifies quantity differences with the comparison method and eliminates impacts between proposed and previously installed equipment applicable for any complexity of design, bid and contractHelps 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
650 7 $a POLITICAL SCIENCE $x Labor & Industrial Relations. $2 bisacsh $3 812899
650 7 $a BUSINESS & ECONOMICS $x Labor. $2 bisacsh $3 812898
650 0 $a Industrial management $x Mathematical models. $3 585592
650 0 $a Time management $x Mathematical models. $3 1343563
650 0 $a Hours of labor $x Mathematical models. $3 1343562
650 0 $a Labor time $x Mathematical models. $3 1343561
655 0 $a Electronic books. $2 local $3 554714
856 4 0 $u https://www.sciencedirect.com/science/book/9780128186480