Construction Planning by Engineer-In-Training: Quantitative Methods and Practical Cases
Edition: 1
Copyright: 2020
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$66.85 USD
Construction Planning by Engineer-In-Training: Quantitative Methods and Practical Cases provides a practical introduction to the analytical methods and decision-making tools used in modern construction planning and project management. Designed for engineering students and professionals preparing for real-world construction challenges, the book combines quantitative techniques with applied case studies to demonstrate how estimating, scheduling, cost control, resource management, and risk analysis are integrated throughout the construction process.
The text covers essential topics including construction estimating, critical path scheduling, earned value analysis, equipment and labor productivity, material handling systems, resource allocation, and uncertainty analysis through Excel-based Monte Carlo simulations. Through practical examples involving earthwork, concrete operations, reinforcing work, and project planning scenarios, readers gain experience applying engineering concepts to realistic construction problems. Additional problem sets using tools such as Revit and Civil 3D further support the development of technical skills needed for successful construction planning and engineering practice.
Chapter 1. Quantitative Methods for Estimating, Scheduling and Cost Control: Basics and Extensions
Section 1.1 Construction Estimating by Bid Factor Extension Analysis
Section 1.2 Project Time-Cost Tradeoff Analysis Based on Path Float Critical Path Method
Section 1.3 Budgeting and Earned Value for Project Control
Chapter 2. Material Handling Systems by Equipment-Dominant Crew
Section 2.1 Introduction
Section 2.2 Earthwork Volume Change
Section 2.3 Crew Production Rate
Section 2.4 Equipment Hourly Rate
Section 2.5 Earthwork Takeoff Planning in Road Construction
Section 2.6 Earthwork Takeoff Planning in Rough Grading
Section 2.7 Concrete Batching, Delivery and Placing System
Chapter 3. Piece-Together Problems by Labor-Dominant Crews
Section 3.1 Labor Productivity
Section 3.2 Labor Hourly Rate
Section 3.3 Slab Reinforcing Case
Section 3.4 Creek Deck Reinforcing Case
Section 3.5 Resource Scheduling by RACPM
Chapter 4. Analyzing “Known Unknowns” in Construction Planning: Excel-Based Monte Carlo Simulation
Section 4.1 Contingency in Bidding and Range Estimating
Section 4.2 Simplified PERT Scheduling Simulation: Path-Float Based Excel Solution
Section 4.3 Pile Installation Work Planning with Limited Bored Hole Data
Section 4.4 Planning Backup Crew Deployment and Maximizing System Productivity in Operating
Autonomous Plants
Appendices
Appendix A. Revit Problem Set
Appendix B. Civil 3D Problem Set
Ming Lu, PhD, PEng, is a Professor of Construction Engineering and Management in the Department of Civil and Environmental Engineering, University of Alberta. Dr. Lu is widely known in the academic community for contributions in developing Quantitative Methods for Simulation, Optimization and Automation for Construction Engineering and Project Management. Dr Lu has cooperated with industry on implementing research for productivity, including the optimization of the steel installation sequence and space use in the construction of the “Bird’s Nest”. Since Sept. 2010, Dr. Lu has led the continuous growth of the Construction Automation Lab at U Alberta as a unique academia-industry collaboratory for research and education. At UAlberta, Dr. Lu offers undergrad and graduate courses on Construction Estimating, Planning, and Control; Analytical Methods for Project Management; and Productivity Model and Analysis.