Brings together the most commonly used scheduling techniques in the construction industry including bar chart, critical path, multiple activity chart and line of balance. Also addresses time and resource scheduling, earned value, critical chain scheduling and probability scheduling using both Monte
Construction Program Management β Decision Making and Optimization Techniques
β Scribed by Ali D. Haidar (auth.)
- Publisher
- Springer International Publishing
- Year
- 2016
- Tongue
- English
- Leaves
- 188
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Exploring complex and intelligent analytical and mathematical methods, this book examines how different approaches can be used to optimize program management in the construction industry. It presents an in-depth study of the different program management methods, ranging from simple decision-making techniques and statistics analysis to the more complex linear programming and demonstrates how knowledge-base systems and genetic algorithms can be used to optimize resources and meet time, budget and quality criteria. It addresses topics including decision-making principles, planning and scheduling, mathematical forecasting models, optimization techniques programming and artificial intelligence techniques. Providing a valuable resource for anyone managing multiple projects in the construction industry, this book is intended for civil and construction engineering students, project managers, construction managers and senior engineers.
β¦ Table of Contents
Front Matter....Pages i-x
Program Management Perspective....Pages 1-24
Decision-Making Principles....Pages 25-55
Planning and SchedulingβA Practical and Legal Approach....Pages 57-97
Mathematical MethodsβStatistics and Forecasting....Pages 99-129
Operations Research and Optimization Techniques....Pages 131-157
Techniques for Intelligent Decision Support Systems....Pages 159-183
β¦ Subjects
Project Management; Construction Management; Mathematical Modeling and Industrial Mathematics; Simulation and Modeling
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