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Optimization and Control Methods in Industrial Engineering and Construction

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Cover of 'Optimization and Control Methods in Industrial Engineering and Construction'

Table of Contents

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    Book Overview
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    Chapter 1 Optimization and Control Methods in Industrial Engineering and Construction
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    Chapter 2 Optimization and Control Methods in Industrial Engineering and Construction
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    Chapter 3 A Linearly-Growing Conversion from the Set Splitting Problem to the Directed Hamiltonian Cycle Problem
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    Chapter 4 Optimum Confidence Interval Analysis in Two-Factor Mixed Model with a Concomitant Variable for Gauge Study
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    Chapter 5 Optimization of Engineering Survey Monitoring Networks
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    Chapter 6 Distributed Fault Detection Using Consensus of Markov Chains
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    Chapter 7 Engineering Optimization Approaches of Nonferrous Metallurgical Processes
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    Chapter 8 Development of Neural Network Based Traffic Flow Predictors Using Pre-processed Data
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    Chapter 9 Economic Scheduling of CCHP Systems Considering the Tradable Green Certificates
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    Chapter 10 Optimizations in Project Scheduling: A State-of-Art Survey
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    Chapter 11 Lean and Agile Construction Project Management: As a Way of Reducing Environmental Footprint of the Construction Industry
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    Chapter 12 Managing Construction Projects in Hong Kong: Analysis of Dynamic Implications of Industrial Improvement Strategies
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    Chapter 13 Dynamic Project Management: An Application of System Dynamics in Construction Engineering and Management
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    Chapter 14 A Lean Framework for Production Control in Complex and Constrained Construction Projects ( $$\mathrm{PC}^{4}\mathrm{P}$$ PC 4 P )
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    Chapter 15 Optimization in the Development of Target Contracts
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Citations

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Title
Optimization and Control Methods in Industrial Engineering and Construction
Published by
Springer Netherlands, January 2014
DOI 10.1007/978-94-017-8044-5
ISBNs
978-9-40-178043-8, 978-9-40-178044-5
Editors

Xu, Honglei, Wang, Xiangyu

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 4%
Other 2 3%
Student > Postgraduate 2 3%
Researcher 2 3%
Professor 1 1%
Other 1 1%
Unknown 58 84%
Readers by discipline Count As %
Engineering 7 10%
Business, Management and Accounting 1 1%
Mathematics 1 1%
Materials Science 1 1%
Decision Sciences 1 1%
Other 0 0%
Unknown 58 84%