Programming And Scheduling Techniques
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Programming and Scheduling Techniques
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 Carlo simulation and PERT.
Programming and Scheduling Techniques
This second edition of Thomas Uher's and Adam Zantis' textbook maintains its focus on operational aspects of programming and scheduling of projects, providing the reader with the practical planning skills needed to be successful. Programming and Scheduling Techniques includes a comprehensive review of a range of practices used around the world. By covering a broad range of scheduling techniques this book is suitable for those planning projects in any industry, particularly in interdisciplinary or international contexts. Learning activities, step-by-step guides, and a companion website make sure no reader is left behind. Written for students studying undergraduate and postgraduate architecture, building, construction/project management, quantity surveying, property development and civil engineering programs.
Constraint-Based Scheduling
Author: Philippe Baptiste
language: en
Publisher: Springer Science & Business Media
Release Date: 2001-07-31
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between two pivotal aspects of a problem: (1) a precise definition of the constraints that define the problem to be solved and (2) the algorithms and heuristics enabling the selection of decisions to solve the problem. It is because of these capabilities that Constraint Programming is increasingly being employed as a problem-solving tool to solve scheduling problems. Hence the development of Constraint-Based Scheduling as a field of study. The aim of this book is to provide an overview of the most widely used Constraint-Based Scheduling techniques. Following the principles of Constraint Programming, the book consists of three distinct parts: The first chapter introduces the basic principles of Constraint Programming and provides a model of the constraints that are the most often encountered in scheduling problems. Chapters 2, 3, 4, and 5 are focused on the propagation of resource constraints, which usually are responsible for the "hardness" of the scheduling problem. Chapters 6, 7, and 8 are dedicated to the resolution of several scheduling problems. These examples illustrate the use and the practical efficiency of the constraint propagation methods of the previous chapters. They also show that besides constraint propagation, the exploration of the search space must be carefully designed, taking into account specific properties of the considered problem (e.g., dominance relations, symmetries, possible use of decomposition rules). Chapter 9 mentions various extensions of the model and presents promising research directions.