Construction Scheduling, Cost Optimization and Management,9780415244176

Construction Scheduling, Cost Optimization and Management

by ;
Edition: 1st
ISBN13: 9780415244176
ISBN10: 041524417X
Format: Hardcover
Pub. Date: 2001-03-15
Publisher(s): CRC Press
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Summary

Presents a general mathematical formula for the scheduling of construction projects. Using this formula, repetitive and non-repetitive tasks, work continuity considerations, multiple-crew strategies, and the effects of varying job conditions on the performance of a crew can be modeled. It provides a practical methodology which will be of great benefit to all those involved in construction scheduling and cost optimization.

Author Biography

Hojjat Adeli is Professor of Civil and Environmental Engineering and Geodetic Science at The Ohio State University Asim Karim is a Research Associate at The Ohio State University

Table of Contents

Contents iii
Preface xi
Acknowledgment xiii
About the Authors xiv
Introduction
1(6)
Overview of Neural Networks in Civil Engineering
7(38)
Introduction
7(2)
Construction Engineering
9(4)
Construction Scheduling and Management
9(1)
Construction Cost Estimation
10(1)
Resource Allocation and Scheduling
11(1)
Construction Litigation
12(1)
Other Applications of BP and Other Neural Network Models in Construction Engineering and Management
12(1)
Structural Engineering
13(17)
Pattern Recognition and Machine Learning in Structural Analysis and Design
13(6)
Design Automation and Optimization
19(4)
Structural System Identification
23(1)
Structural Condition Assessment and Monitoring
23(3)
Structural Control
26(1)
Finite Element Mesh Generation
27(1)
Structural Material Characterization and Modeling
28(1)
Parallel Neural Network Algorithms for Large-Scale Problems
29(1)
Environmental and Water Resources Engineering
30(2)
Traffic Engineering
32(2)
Highway Engineering
34(1)
Geotechnical Engineering
35(1)
Shortcomings of the BP Algorithm and Other Recent Approaches
36(3)
Shortcomings of the BP Algorithm
36(1)
Adaptive Conjugate Gradient Neural Network Algorithm
37(1)
Radial Basis Function Neural Networks
37(1)
Other Approaches
38(1)
Integrating Neural Network With Other Computing Paradigms
39(6)
Genetic Algorithms
39(1)
Fuzzy Logic
40(2)
Wavelets
42(3)
Neural Dynamics Model and its Application to Engineering Design Optimization
45(50)
Introduction
45(1)
Cold-Formed Steel Design Optimization
46(1)
Minimum Weight Design of Cold-Formed Steel Beams
47(13)
Bending Strength Constraint
50(5)
Shear Strength Constraint
55(1)
Constraint on Combined Bending and Shear Strength
55(1)
Constraint on Web Crippling Strength
56(1)
Constraint on Combined Web Crippling and Bending Strength
57(1)
Deflection Constraint
57(1)
Constraint on Flange Curling
58(1)
Local Buckling Constraints
59(1)
Neural Dynamics Optimization Model
60(4)
Neural Dynamics Model for Optimization of Cold-Formed Steel Beams
64(5)
Application of the Model
69(10)
Example 1
70(3)
Example 2
73(3)
Example 3
76(3)
Global Optimum Design Curves for Hat-Shaped Beams
79(13)
Parametric Studies and Search for Global Optima
80(3)
Design Curves for Hat-Shapes
83(9)
Concluding Remarks
92(3)
Project Planning and Management and CPM
95(44)
Introduction
95(3)
What is a Project?
98(9)
Definition
98(2)
Life Cycle
100(2)
Participants
102(1)
Attributes of a Project
103(1)
States of a Project
104(1)
Project Time and Cost
105(2)
Project Planning and Management
107(4)
Introduction
107(1)
Component Models
108(3)
Elements of Project Scheduling
111(8)
Tasks
112(1)
Work Breakdown Structure
113(4)
Scheduling Constraints
117(2)
Graphical Display of Schedules
119(20)
The Need
119(1)
Gantt Charts
120(1)
Network Diagrams
121(3)
Linear Planning Chart
124(2)
The Critical Path Method
126(1)
Introduction
126(2)
Features
128(1)
Parameter in the CPM Analysis
129(2)
Algorithm
131(3)
Example
134(5)
A General Mathematical Formulation for Project Scheduling and Cost Optimization
139(16)
Introduction
139(4)
Cost-Duration Relationship of a Project
143(2)
Formulation of the Scheduling Optimization Problem
145(8)
Breakdown the Work into Tasks, Crews, and Segments
147(1)
Specify the Internal Logic of Repetitive Tasks
147(2)
Specify the External Logic of Repetitive and Non-Repetitive Tasks
149(4)
Conclusion
153(2)
Neural Dynamics Cost Optimization Model for Construction Projects
155(22)
Introduction
155(1)
Formulation of the Neural Dynamics Construction Cost Optimization Model
155(4)
Topological Characteristics
159(4)
Illustrative Example
163(11)
General Description
163(2)
Cost-Duration Relationship
165(1)
Scheduling Logic
165(7)
Solution of the Problem
172(2)
Conclusion
174(3)
Object-Oriented Information Model for Construction Project Management
177(28)
Introduction
177(1)
Change Order Management
178(1)
Owner's Role in Construction Project Management
179(2)
Object-Oriented Methodology and Construction Engineering
181(4)
An Object-Based Information Model for Construction Scheduling, Cost Optimization, and Change Order Management
185(1)
Software Reuse Techniques: Components, Design Patterns, and Frameworks
186(6)
Development Environment
192(4)
An Application Architecture for the Construction Domain
196(5)
Brief Description of Classes in Figure 7.6
201(4)
The CONSCOM Framework
205(32)
Introduction
205(1)
The CONSCOM Framework
206(21)
Introduction
206(2)
Object Model
208(3)
Model Description
211(16)
Conclusion
227(2)
Brief Description of Classes in the CONSCOM Framework (Figures 8.1-8.9)
229(3)
Brief Description of the Attributes and Operations Shown in Figures 8.3-8.9
232(5)
Attributes
232(1)
Operations
233(4)
A New Generation Software for Construction Scheduling and Management
237(24)
Introduction
237(1)
Integrated Construction Scheduling and Cost Management
237(2)
Features of CONSCOM
239(2)
Integrated Management Environment
241(3)
User Interface Characteristics
244(10)
Example - Retaining Wall Project
254(5)
Concluding Remarks
259(2)
Regularization Neural Network Model for Construction Cost Estimation
261(28)
Introduction
261(2)
Estimation, Learning and Noisy Curve Fitting
263(5)
Regularization Networks
268(4)
Determination of Weights of Regularization Network
272(2)
Proper Generalization and Estimation by Cross-Validation
274(2)
Input and Output Normalization
276(3)
Application
279(5)
Example 1
280(4)
Example 2
284(1)
Conclusion
284(5)
Bibliography 289(26)
Subject Index 315

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