Construction Scheduling, Cost Optimisation and Management [10028]

£90.00

In an increasingly competitive environment, construction professionals must ensure that efficient schedules are kept and that costs are kept to a minimum. Presenting a groundbreaking new construction scheduling model, CONSCOM, this book provides the solution to effective construction scheduling and cost optimization. Cost Scheduling, Cost Optimization and Management presents a general mathematical formulation 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 modelled. The authors show that for any given construction duration, the CONSCOM model automatically yields the optimum construction schedule for minimum construction cost. By varying the construction duration, readers are shown how to solve the cost-duration trade-off construction cost. The model provides features desirable for repetitive projects such as highway construction and allows schedulers greater flexibility. It is particularly suitable for studying the effects of change on the construction cost. This book presents an entirely new approach to the construction scheduling problem. It provides a practical methodology which will be of great benefit to all those involved in construction scheduling and cost optimization, including construction engineers, highway engineers, transportation engineers, contractors and architects. It will also be useful for researchers, and graduates on courses in construction scheduling and planning.

Contents: Preface. Acknowledgment. About the Authors. Introduction. Overview of Neural Networks in Civil Engineering. 2.1 Introduction 2.2 Construction Engineering 2.2.1 Construction Scheduling and Management. 2.2.2 Construction Cost Estimation. 2.2.3 Resource Allocation and Scheduling. 2.2.4 Construction Litigation. 2.2.5 Other Applications of BP and Other Neural Network Models in Construction Engineering and Management. 2.3 Structural Engineering. 2.3.1 Pattern Recognition and Machine Learning in Structural Analysis and Design. 2.3.2 Design Automation and Optimization. 2.3.3 Structural System Identification. 2.3.4 Structural Condition Assessment and Monitoring. 2.3.5 Structural Control. 2.3.6 Finite Element Mesh Generation. 2.3.7 Structural Material Characterization and Modeling. 2.3.8 Parallel Neural Network Algorithms for Large-Scale Problems. 2.4 Environmental and Water Resources Engineering. 2.5 Traffic Engineering. 2.6 Highway Engineering. 2.7 Geotechnical Engineering. 2.8 Shortcomings of the BP Algorithm and Other Recent Approaches. 2.8.1 Shortcomings of the BP Algorithm. 2.8.2 Adaptive Conjugate Gradient Neural Network Algorithm. 2.8.3 Radial Basis Function Neural Networks. 2.8.4 Other Approaches. 2.9 Integrating Neural Network With Other Computing Paradigms. 2.9.1 Genetic Algorithms. 2.9.2 Fuzzy Logic. 2.9.3 Wavelets. Neural Dynamics Model and its Application to Engineering Design Optimization. 3.1 Introduction. 3.2 Design Optimization. 3.3 Minimum Weight Design of Cold-Formed Steel Beams. 3.3.1 Bending Strength Constraint. 3.3.2 Shear Strength Constraint. 3.3.3 Constraint on Combined Bending and Shear Strength. 3.3.4 Constraint on Web Crippling Strength. 3.3.5 Constraint on Combined Web Crippling and Bending Strength. 3.3.6 Deflection Constraint. 3.3.7 Constraint on Flange Curling. 3.3.8 Local Buckling Constraints. 3.4 Neural Dynamics Optimization Model. 3.5 Neural Dynamics Model for Optimization of Cold-Formed Steel Beams. 3.6 Application of the Model. 3.6.1 Example 1. Example 2. Example 3. 3.7 Global Optimum Design Curves for Hat-Shape Beams. 3.7.1 Parametric Studies and Search for Global Optima. 3.7.2 Design Curves for Hat-Shapes. 3.8 Concluding Remarks. Project Planning and Management and CPM. 4.1 Introduction. 4.2 What is a Project? 4.2.1 Definition. 4.2.2 Life Cycle. 4.2.3 Participants. 4.2.4 Attributes of a Project. 4.2.5 States of a Project. 4.2.6 Project Time and Cost. 4.3 Project Planning and Management. 4.3.1 Introduction. 4.3.2 Component Models. 4.4 Elements of Project Scheduling. 4.4.1 Tasks. 4.4.2 Work Breakdown Structure 4.4.3 Scheduling Constraints. 4.5 Graphical Display of Schedules. 4.5.1 The Need. 4.5.2 Gantt Charts. 4.5.3 Network Diagrams. 4.5.4 Linear Planning Chart. The Critical Path Method. 4.6.1 Introduction. 4.6.2 Features. 4.6.3 Parameter in the CPM Analysis. 4.6.4 Algorithm. 4.6.5 Example. A General Mathematical Formulation for Project Scheduling and Cost Optimization. 5.1 I

Construction Scheduling, Cost Optimisation and Management

Author:	Adeli, Hojjat
Date Published:	2001
Document Type:	Books
Format:	Hard Back
ISBN:	041524417X
ISBN13:	9780415244176
Pages:	352
Publisher:	Taylor & Francis Ltd

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