42
IRUS Total
Downloads
  Altmetric

Product planning of manufactured construction products

File Description SizeFormat 
Wee-T-2019-PhD-Thesis.pdf8.74 MBAdobe PDFView/Open
Title: Product planning of manufactured construction products
Authors: Wee, Tanawan Pang Yew
Item Type: Thesis or dissertation
Abstract: The construction industry is experiencing further industrialisation to achieve greater efficiency and flexibility in the development of manufactured construction products. The development of these products poses challenges because of new complex design requirements and manufacturing processes. There is therefore a need to develop product planning methods that can effectively address these challenges. This research aims to develop product planning methods for complexity management of manufactured construction products. A framework for product planning for manufactured construction products is proposed, which involves application of methods for requirements management and modularisation. Using a reverse engineering approach, the Quality Function Deployment (QFD) method was applied to a modular plantroom to model and analyse its requirements. The plantroom QFD model facilitated a deeper understanding of requirements analysis than existing practice at the collaborating company. The QFD method was subsequently applied to a whole modular apartment building to analyse its requirements and investigate how requirements flow down across hierarchical levels. The application showed that a series of connected QFD models support requirements analysis by allowing to investigate systems structure, traceability and data analytic solutions of complex building systems. The QFD models were evaluated and validated by engineers at the collaborating company and were found to be effective at capturing and analysing requirements. QFD is a powerful requirements analysis method for manufactured construction products because it offers a more systematic, holistic and structured approach to requirements analysis than those currently adopted in the industry. The research also investigated the development and application of a multi-driver modularisation approach for manufactured construction products. The approach uses and integrates three modular tools, namely Dependency Structure Matrix, Modular Identification Matrix and Generational Variance Indexes, which support the design of flexible product systems. The approach is able to address multiple modularisation drivers and provide valuable design information.
Content Version: Open Access
Issue Date: Apr-2019
Date Awarded: Dec-2019
URI: http://hdl.handle.net/10044/1/79981
DOI: https://doi.org/10.25560/79981
Copyright Statement: Creative Commons Attribution NonCommercial Licence
Supervisor: Aurisicchio, Marco
Sponsor/Funder: Engineering and Physical Sciences Research Council
Laing O'Rourke (Firm)
Funder's Grant Number: Industrial CASE Award No 1589417
Department: Dyson School of Design Engineering
Publisher: Imperial College London
Qualification Level: Doctoral
Qualification Name: Doctor of Philosophy (PhD)
Appears in Collections:Design Engineering PhD theses