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Akmam Syed Zakaria, S, Gajendran, T, Rose, T and Brewer, G (2018) Contextual, structural and behavioural factors influencing the adoption of industrialised building systems: a review. Architectural Engineering and Design Management, 14(01–02), 3–26.

Akmam Syed Zakaria, S, Gajendran, T, Skitmore, M and Brewer, G (2018) Key factors influencing the decision to adopt industrialised building systems technology in the Malaysian construction industry: an inter-project perspective. Architectural Engineering and Design Management, 14(01–02), 27–45.

Al-Bazi, A and Dawood, N (2018) Simulation-based optimisation using simulated annealing for crew allocation in the precast industry. Architectural Engineering and Design Management, 14(01–02), 109–26.

Arashpour, M, Wakefield, R, Abbasi, B, Arashpour, M and Hosseini, R (2018) Optimal process integration architectures in off-site construction: Theorizing the use of multi-skilled resources. Architectural Engineering and Design Management, 14(01–02), 46–59.

  • Type: Journal Article
  • Keywords: Fuzzy–TOPSIS theory; modular prefabrication; off-site construction; precast process optimization; planning and control;
  • ISBN/ISSN: 1745-2007
  • URL: https://doi.org/10.1080/17452007.2017.1302406
  • Abstract:
    The architecture, engineering and construction industry has long dealt with problems such as schedule and budget overruns, quality and safety issues, and low productivity. Off-site construction, which is a hybrid of manufacturing and construction, has significant potential to address industry’s endemic problems. However, off-site construction has been criticized for replicating the traditional subcontracting approach and therefore fragmented practice in the construction industry. The current research focuses on process integration and cross-training of multi-skilled resources as a solution to the aforementioned problem. To identify optimal process integration architectures for off-site construction, production data of three off-site manufacturers were analyzed by using a hybrid of fuzzy theory and the technique for order of preference by similarity to ideal solution. Findings reveal that process integration architectures transferring excess capacity from under-utilized to over-utilized resources in direct or indirect pathways are preferable in terms of satisfying decision criteria such as time and cost of cross-training, skill transferability, compliance with network logic, and safety considerations. The study contributes to the off-site construction literature by providing insight into dynamics of using multi-skilled resources. It also contributes to practice by developing a customizable and user-friendly framework for off-site production managers in order to identify the optimal process integration architecture in their own production scenarios.

Bekdik, B, Pörzgen, J, Bull, S S and Thuesen, C (2018) Modularising design processes of façades in Denmark: re-exploring the use of design structure matrix. Architectural Engineering and Design Management, 14(01–02), 95–108.

Hairstans, R and Smith, R E (2018) Offsite HUB (Scotland): establishing a collaborative regional framework for knowledge exchange in the UK. Architectural Engineering and Design Management, 14(01–02), 60–77.

Montali, J, Overend, M, Pelken, P M and Sauchelli, M (2018) Knowledge-Based Engineering in the design for manufacture of prefabricated façades: current gaps and future trends. Architectural Engineering and Design Management, 14(01–02), 78–94.

Mostafa, S and Chileshe, N (2018) Application of discrete-event simulation to investigate effects of client order behaviour on off-site manufacturing performance in Australia. Architectural Engineering and Design Management, 14(01–02), 139–57.

Ramaji, I J and Memari, A M (2018) Extending the current model view definition standards to support multi-storey modular building projects. Architectural Engineering and Design Management, 14(01–02), 158–76.

Smith, R E, Griffin, G, Rice, T and Hagehofer-Daniell, B (2018) Mass timber: evaluating construction performance. Architectural Engineering and Design Management, 14(01–02), 127–38.