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Waste Reduction in Precast Construction

Using Lean and Shared Mental Models

  • Book
  • © 2021

Overview

  • Presents the implementation of lean principles using shared mental models for precast construction in Singapore
  • Demonstrates low wastage of materials, time, and effort throughout the precast construction process with effective lean implementation
  • Includes practical case studies with true accounts of real-life practices and experiences of construction contractors

Part of the book series: Management in the Built Environment (MABUEN)

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Table of contents (9 chapters)

Keywords

About this book

This book presents the adaptation of lean principles to the precast construction industry to eliminate or minimize construction wastes, by modeling the precast construction process influencing manpower requirements. This is done using the shared mental models theory to understand how the lean principles enable people to work together to complete the tasks and work together effectively as a team throughout the entire precast construction process from the design, production and logistics to installation stages. Besides the theoretical concepts, this proposed book also presents the practical aspects faced by contractors through the conduct of questionnaire surveys to understand how the implementation of lean principles and shared mental models will affect the occurrence of construction wastes and hence the changes in the total man days used during the precast construction process. This book also presents a neural network model for developing leading indicators that classify precast construction projects in accordance with the manpower changes achieved through the construct of lean principles and shared mental models. This is to help the construction industry to predict the risk of low construction productivity and enable effective lean implementation to optimize the manpower effort required.

Authors and Affiliations

  • Department of Building, National University of Singapore, Singapore, Singapore

    Joy Ong, Low Sui Pheng

About the authors

Joy Ong is a Project Manager involved with the design development and project management of building infrastructures. She graduated with a Bachelor of Science (Project and Facilities Management) degree with First Class Honors from the National University of Singapore in 2013. She further obtained a Master of Science (Project Management) degree from the National University of Singapore in 2016 as well as a Doctor of Philosophy (Building) degree from the National University of Singapore in 2020. She is a winner of the International Innovation Research Award from the Chartered Institute of Building.


Low Sui Pheng is a Professor of Building in the School of Design and Environment, National University of Singapore, where he has previously served as Director, Head and Vice‐Dean. He teaches construction project management and has published, researched and consulted extensively both in Singapore and overseas. A Fellow of the Chartered Institute of Building, he holds a Higher Doctorate D.Sc. (Civil Engineering) degree from the University of Birmingham and a Ph.D. degree from the University College London.


Bibliographic Information

  • Book Title: Waste Reduction in Precast Construction

  • Book Subtitle: Using Lean and Shared Mental Models

  • Authors: Joy Ong, Low Sui Pheng

  • Series Title: Management in the Built Environment

  • DOI: https://doi.org/10.1007/978-981-15-8799-3

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

  • Hardcover ISBN: 978-981-15-8798-6Published: 14 October 2020

  • Softcover ISBN: 978-981-15-8801-3Published: 15 October 2021

  • eBook ISBN: 978-981-15-8799-3Published: 13 October 2020

  • Series ISSN: 2522-0047

  • Series E-ISSN: 2522-0055

  • Edition Number: 1

  • Number of Pages: XVI, 250

  • Number of Illustrations: 15 b/w illustrations, 21 illustrations in colour

  • Topics: Construction Management, Project Management, Waste Management/Waste Technology, Industrial and Production Engineering

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