Construction Scheduling, Cost Optimization

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.

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

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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Construction Scheduling, Cost Optimization and Management

Summary

Author Biography

Table of Contents

Supplemental Materials

FREE SHIPPING

Rent More, Save More! Use code: BBRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

Construction Scheduling, Cost Optimization and Management

Summary

Author Biography

Table of Contents

Supplemental Materials

Digital License