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150912s2016 sz | s |||| 0|eng d |
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|a 9783319207742
|9 978-3-319-20774-2
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|a 10.1007/978-3-319-20774-2
|2 doi
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|a 658.404
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|a Haidar, Ali D.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Construction Program Management - Decision Making and Optimization Techniques
|h [electronic resource] /
|c by Ali D. Haidar.
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a X, 183 p. 40 illus., 36 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Program Management Perspective.- Decision-making Principles -- Planning and Scheduling - A Practical and Legal Approach -- Mathematical Methods - Statistics and Forecasting.- Operations Research and Optimization Techniques.- Techniques for Intelligent Decision Support Systems.
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|a 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.
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|a Project management.
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|a Construction industry-Management.
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|a Mathematical models.
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|a Computer simulation.
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|a Project Management.
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|a Construction Management.
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|a Mathematical Modeling and Industrial Mathematics.
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|a Computer Modelling.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319207735
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|i Printed edition:
|z 9783319207759
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|i Printed edition:
|z 9783319356488
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|u https://doi.uam.elogim.com/10.1007/978-3-319-20774-2
|z Texto Completo
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|a ZDB-2-BUM
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|a ZDB-2-SXBM
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|a Business and Management (SpringerNature-41169)
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|a Business and Management (R0) (SpringerNature-43719)
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