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Utilization of Artificial Neural Networks for Construction Productivity
Artificial neural networks provide methods of processing complex data through simulations that resemble human problem solving. Groups of decision nodes are arranged in multiple layers to predict outcomes based on weighted parameters. These applications include cost estimating, productivity forecasting, energy modeling, structural analysis, collision detection, and flow calculation. Combined with earned value management, critical factors…
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Theory and Measurement in Construction Productivity
Technological advancements continue to enhance most industries including manufacturing, though labor productivity in construction has actually decreased over the past decades. There is a growing need to streamline operations to increase value and reduce costs, yet complexity and fragmentation remain as barriers to implementation. Productivity metrics and performance indexes provide analytical data but offer no…
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Lean Principles in Construction Management
The construction industry is experiencing greater client demands and higher rates of failure with rising costs, labor shortages and poor performance. Technologies brought forth by the fourth industrial revolution are beginning to shape the future of construction. Translating concepts successfully from manufacturing into construction requires technical training and stronger leadership. Human activities, environment impacts and…
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Towards Common Standards in the Construction Industry
Globalization and the fourth industrial revolution have brought a myriad of changes to processes throughout the construction sector. In a heavily regulated industry, standards must be adapted to promote innovation and technology while maintaining the common practices of traditional methods. Implementing new procedures can be time-consuming and labor-intensive, but the benefits of efficiency and cost…



