Table of contents
IT implementation in the construction organization
JENNIFER WHYTE, DINO BOUCHLAGHEM, TONY THORPEOrganizational issues are inhibiting the implementation and strategic use of information technologies (IT) in the construction sector. This paper focuses on these issues and…
How building design imperatives constrain construction productivity and quality
STEPHEN FOX, LAURENCE MARSH, GRAHAM COCKERHAMSince the early 1960s, the construction industry has been continually criticized for its low productivity and poor quality. Throughout this period, it has been widely recognized…
Model for predicting clients' contribution to project success
ENG HWEE LIM, FLORENCE YEAN YNG LINGClients' financial status, characteristics, management competency and construction experience can have significant effects upon the attainment of project success. A survey was…
Acquisition and structuring of knowledge for defect prediction in brickwork mortar
P. STEPHENSON, I. MORREY, P. VACHER, Z. AHMEDThe extent of defects within the construction sector is considerable. This not only has implications for final built products, but also impacts on remedial and repair work, time…
Managing construction supply chains: the common sense approach
ANDREW COX, PAUL IRELANDThis paper will provide an introduction to the argument that there is considerable evidence of poor thinking within the construction industry. The failure to understand the…
A model for managing the product development process in house building
CARLOS T. FORMOSO, PATRICIA TZORTZOPOULOS, RENATA LIEDTKEThe performance of the product development process has a critical influence on the efficiency and duration of building projects, as well as on the quality of the final product…
Application of simulation related techniques to construction operations
HONG ZHANG, JONATHAN J. SHI, CHI‐MING TAMThis paper presents some simulation‐oriented techniques, particularly the resource allocation point (RAP) heuristic rule, for an activity‐based construction (ABC) simulation that…
Artificial neural networks model for predicting excavator productivity
C.M. TAM, THOMAS K.L. TONG, SHARON L. TSEThis paper aims to develop a quantitative model for predicting the productivity of excavators using artificial neural networks (ANN), which is then compared with the multiple…
Modelling the satisfaction of contractors: the impact of client performance
ROBBY SOETANTO, DAVID G. PROVERBSAn assessment of the performance of UK clients on 55 ‘case projects’ as considered by contractors is presented and used to develop models of contractors' satisfaction. Principal…
ISSN:
0969-9988e-ISSN:
1365-232XISSN-L:
0969-9988Online date, start – end:
1994Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Professor Chimay Anumba