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Christian, T and Lars, H (2011) Efficient on-site construction: learning points from a German platform for housing. Construction Innovation, 11(03), 338–55.

Jason, U and Umit, I (2011) Emerging technologies for BIM 2.0. Construction Innovation, 11(03), 252–8.

Jay Na, L and Frank, P (2011) Innovation performance of construction enterprises: An empirical assessment of the German and Singapore construction enterprises. Construction Innovation, 11(03), 282–304.

Leila, H, Zeeshan, A and Feniosky, P-M (2011) Visualizing greenhouse gas emissions from construction activities. Construction Innovation, 11(03), 356–70.

Omar, A L T and Rifat, R (2011) General framework for designing multi-use simulation modules for estimating project durations. Construction Innovation, 11(03), 321–37.

Patrick, T I L and Franky, W H W (2011) A comparative study of buildability perspectives between clients, consultants and contractors. Construction Innovation, 11(03), 305–20.

Yuan, F and Ng, S T (2011) Applying activity-based costing approach for construction logistics cost analysis. Construction Innovation, 11(03), 259–81.

  • Type: Journal Article
  • Keywords: activity-based costs; construction logistics cost; construction materials; precast component
  • ISBN/ISSN: 1471-4175
  • URL: https://doi.org/10.1108/14714171111149007
  • Abstract:
    Purpose – Construction materials take up a significant proportion of the total construction cost. Without careful planning and controlling on the flow of construction materials, it is possible that the cost of materials may increase unnecessarily. In view of that, this paper aims to examine whether the development of logistics cost analysis can help determine suitable logistics strategies for a project which involves the use of bulky components like precast concrete units. Design/methodology/approach – The cost elements incurred during the logistics process of precast components from the supplier's yard to the construction site are first identified through the activity-based costing (ABC) approach. Under each element, the resources necessary to fulfil the specific element are analysed. By representing those cost components through the cost functions, simulations can be carried out to determine the logistics cost under different logistic scenarios. Findings – Through the ABC approach, the resources consumed can be traced back to the consuming activity and subsequently to a particular cost element. More importantly, the results indicate that the simulation model can identify a logistics option which would result in the lowest logistics cost without affecting the construction schedule. Originality/value – This paper should help increase understanding of managers and planners on construction logistics activities and their related costs so as to increase their bid competitiveness and/or improve the chance of success at the construction stage by minimising the construction logistics cost.