Industrial Process Plant Construction Estimating and Man-Hour Analysis
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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
Kenneth Storm
Kenneth Storm is currently an independent consultant for a US-based construction company, preparing construction estimates on a variety of projects such as power plants, oil refineries, petroleum industry tank farms, and compressors stations ranging in price from $500,000 to over $250 million in scope. Accumulating over 35 years of experience, he worked as a major project engineer and piping engineer for a variety of major companies. He graduated with a BS in mathematics and statistics from California State University, Chico. He is licensed and certified as a California General Engineering Contractor and a member of the American Mathematical Association.
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Industrial Process Plant Construction Estimating and Man-Hour Analysis - Kenneth Storm
India
Preface
Construction projects are divided into three sectors: building, infrastructure, and industrial construction.
Building construction: This sector is divided into residential and commercial building.
Infrastructure: Infrastructure is divided into heavy civil engineering that includes airports, bridges, dams, tunnels, highways, hydropower, water treatment, distribution, and rapid-transit systems.
Industrial construction: Industrial construction includes refineries, power generation, mills, and manufacturing plants. These projects are identified by the plant process and vary in size and complexity.
This edition of 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. As construction processes become more complex, contractors are placing a greater importance on specialized education. It is increasingly important for estimators, engineers, and construction managers to have a bachelor’s degree in a construction-related field. A strong background in mathematics and statistics is essential. Estimators are required to set up cost codes, summarize and analyze historical data and trends, and maintain labor data bases by entering and backing up data. Construction-work estimating data sets or books are used for construction analysis and cost estimating. These data sets and books need to be evaluated for accuracy, reliability, verifiability, and convenience. The construction business requires statistical methods, indexing, cost analysis, and estimating to provide detailed accurate bid proposal to handle increasing competition. Engineers and contractors use statistical methods, historical data, and man-hour tables, which are entered into the computer, that model the work of construction. The purpose of this book is to provide the reader the latest estimating and statistical methods to evaluate the accuracy and verify historical data collected from field installation of process piping and equipment in industrial process plants. The book begins with the introduction devoted to labor, productivity measurement, collection of historical data, estimating methods, and factors affecting construction labor productivity and impacts of overtime. Then, estimating is developed, and project sections for equipment are given. Engineering, contractors, and owners are concerned with statistical applications to industrial process plants and this section is provided. The book develops the principals in a systematic way, and the book is divided into 12 chapters. The first chapter is an introduction to construction statistics using Excel templates and mathematical spreadsheets. The purpose of this chapter is to provide a basic understanding of how to use Excel templates and spreadsheets specific to construction. These Excel templates and spreadsheets are used to provide a step-by-step guide for how to set up and perform a wide variety of statistical applications to industrial process plants. Chapter 2 provides the reader the man-hour schedules and tables for the installation of process piping in industrial process plants. Chapters 3–10 provide detailed scopes of work for each section and man-hour tables based on historical data collected from field erection of equipment installed in industrial process plants. Estimate sheets that itemize the equipment scope of work are set up on a computer, and historical man-hours, using the unit quantity model, calculate the direct craft man-hours. Installation man-hours are summarized, and historical man-hours are compared with estimated man-hours. Chapters 11 and 12 provide sample estimates and illustrations of statistical applications to industrial process plants. The direct craft man-hours have been verified by statistical analysis and were determined from time and measurement of craft labor for field erection of process piping, equipment, and boilers installed in process plants throughout the country. The sections' work scope, man-hour tables, and estimate sheets are applicable for all contractors, engineering firms, and process plants that install process piping, equipment, and boilers in industrial process plants. The statistical and estimating methods in this book will enable estimators and engineers to prepare comprehensive and detailed direct craft man-hour estimates, RFPs, and field change orders for the following industrial process plants: diesel, solar, and coal-fired power plants; industrial package boilers; pulp and paper plants; oil refinery; and boiler tube replacement.
Construction experience and education may vary, and we believe that the book is suitable for those working in engineering and construction. The book has been written to appeal to engineering/technology/construction estimating and management settings. The book will decrease the chance of error and allow estimators to accurately determine the actual direct craft man-hours for the complete installation of process piping, equipment, and boilers. The estimating methods in this book will enable the estimator to use the comparison method to estimate the differences between proposed and previously installed equipment and boilers, and the unit quantity method will be a final check on the estimated man-hours compared with the historical man-hours. The book does not include man-hours and cost for material, equipment usage, indirect craft, supervision, project staff, warehousing, and storage. The direct craft man-hour estimate is the basis for the estimator to obtain the project schedule and the cost for mobilization and demobilization, indirect craft, supervision, project staff, construction equipment, subcontractors, material, site general conditions, and overhead and fee. In addition, the estimator must determine all factors that will affect productivity and overtime impacts.
Review of the preface and introduction will enable the reader to understand craft labor productivity, productivity measurement, collection of historical data, estimating methods and labor factors, and loss due to labor productivity and overtime impacts
To apply the scopes of work, direct craft man-hour tables, and estimating sheets, the reader must be familiar with the following chapters entitled "Introduction and Chapters 1, 11, and 12." These chapters illustrate, with practical examples, the steps required to estimate and analyze man-hours to uncover the relationships that exist for process plant cost and labor:
(1)Introduction will enable the reader to set up cost codes and methods for collecting, organizing, summarizing, presenting, and analyzing historical man-hour data using graphic and regression analysis to verify historical data.
(2)Chapter 1 enables the reader to set up and use Excel templates and spreadsheets to automate statistical functions to perform mathematical and statistical applications to make the connection to process plant construction.
(3)Chapter 11 provides the reader the industrial process plant construction estimating process
to enable the reader to use statistical and estimating methods, scopes of work, man-hour tables, and estimate sheets to the following:
(a)Evaluate the accuracy and verify historical data collected for process piping and equipment installed in industrial process plants
(b)Provide a comprehensive and accurate method using construction statistics and estimating methods to compile detailed craft man-hour estimates for bid proposals, RFPs, and field change orders
(4)Chapter 12 provides the reader the knowledge to use construction statistics to forecast, use learning curves and time series to validate data, and prepare detailed estimates. This chapter includes practical examples of statistical applications and methods to help the reader understand the importance of man-hour analysis and estimating with the intention to point out the connection to construction. Construction statistics depends on statistical and mathematical methods and is an important part of field cost and construction man-hour analysis. The book will be a source for those engaged in estimating, forecasting, managing, and bidding projects in the industrial construction