This book presents recent advances in optimization and control methods with applications to industrial engineering and construction management. It consists of 15 chapters authored by recognized experts in a variety of fields including control and operation research, industrial engineering and project management. Topics include numerical methods in unconstrained optimization, robust optimal control problems, set splitting problems, optimum confidence interval analysis, a monitoring networks optimization survey, distributed fault detection, nonferrous industrial optimization approaches, neural networks in traffic flows, economic scheduling of CCHP systems, a project scheduling optimization survey, lean and agile construction project management, practical construction projects in Hong Kong, dynamic project management, production control in PC4P and target contracts optimization.
The book offers a valuable reference work for scientists, engineers, researchers and practitioners in industrial engineering and construction management.
Surveying advances in optimization and control methods with applications to industrial engineering and construction management, this book covers lean and agile construction project management, set splitting problems, distributed fault detection and more.
Preface
Robustness of Convergence Proofs in Numerical Methods in Unconstrained Optimization
Robust Optimal Control of Continuous Linear Quadratic System Subject to Disturbances
A?Linearly-Growing Conversion from the Set Splitting Problem to the Directed Hamiltonian Cycle Problem
Optimum Confidence Interval Analysis in Two-factor Mixed Model with a Concomitant Variable for Gauge Study
Optimization of Engineering Survey Monitoring Networks?
Distributed Fault Detection Using Consensus of Markov Chains
Engineering Optimizatil3‹
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