Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 14 results ...

Arbulu, R J, Tommelein, I D, Walsh, K D and Hershauer, J C (2003) Value stream analysis of a re-engineered construction supply chain. Building Research & Information, 31(02), 161–71.

Ballard, G (2003) Lean project management. Building Research & Information, 31(02), 119–33.

Barlow, J, Childerhouse, P, Gann, D, Hong-Minh, S, Naim, M and Ozaki, R (2003) Choice and delivery in housebuilding: lessons from Japan for UK housebuilders. Building Research & Information, 31(02), 134–45.

Bygballe, L E, Håkansson, H and Jahre, M (2013) A critical discussion of models for conceptualizing the economic logic of construction. Construction Management and Economics, 31(02), 104-18.

Chang, C-Y (2013) A critical review of the application of TCE in the interpretation of risk allocation in PPP contracts. Construction Management and Economics, 31(02), 99-103.

Courtney, R and Winch, G M (2003) Re-engineering construction: the role of research and implementation. Building Research & Information, 31(02), 172–8.

Gerth, R, Boqvist, A, Bjelkemyr, M and Lindberg, B (2013) Design for construction: utilizing production experiences in development. Construction Management and Economics, 31(02), 135-50.

  • Type: Journal Article
  • Keywords: constructability; design for construction; feedback; lean construction; residential
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446193.2012.756142
  • Abstract:
    The design process has a significant impact on the performance and profitability of a housing project. Therefore, decisions made during the design process should take into consideration knowledge and experience from other processes in previously accomplished projects, specifically from the production phase. How to capture and use production experience in housing has not gained enough interest, possibly leading to sub-optimal improvements during the construction process. This motivates research on how onsite production experience from similar previous projects can be captured and used to improve constructability without risking customer values. Based on the concept of constructability, "design for manufacturing and assembly" and the theory of waste, the method "design for construction" (DFC) has been developed. The four-step model complements the conventional construction process, and consists of the following steps: (1) specify customer values and similar previous projects; (2) identify onsite waste and cost drivers in previous projects; (3) develop criteria to evaluate constructability; and (4) evaluate constructability of the design. The DFC method is exemplified and tested through a case study, in which it was shown that the method facilitated identification of all problems that were considered in the investigated project. The method also highlighted other project obstacles that potentially could have been solved to improve constructability.

Gibb, A G F and Isack, F (2003) Re-engineering through pre-assembly: client expectations and drivers. Building Research & Information, 31(02), 146–60.

Gottlieb, S C and Haugbølle, K (2013) Contradictions and collaboration: partnering in-between systems of production, values and interests. Construction Management and Economics, 31(02), 119-34.

Green, S D and May, S (2003) Re-engineering construction: going against the grain. Building Research & Information, 31(02), 97–106.

Menches, C L and Chen, J (2013) Using ecological momentary assessment to understand a construction worker's daily disruptions and decisions. Construction Management and Economics, 31(02), 180-94.

Murphy, R (2013) Strategic planning in construction professional service firms: a study of Irish QS practices. Construction Management and Economics, 31(02), 151-66.

Phua, F T T (2013) Construction management research at the individual level of analysis: current status, gaps and future directions. Construction Management and Economics, 31(02), 167-79.

Winch, G M (2003) Integrated life-cycle analysis. Building Research & Information, 31(02), 107–18.