Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 9 results ...

Benjaoran, V, Dawood, N and Hobbs, B (2005) Flowshop scheduling model for bespoke precast concrete production planning. Construction Management and Economics, 23(01), 93-105.

Haupt, T C, Munshi, M and Smallwood, J (2005) HIV and AIDS in South African construction: is age nothing but a number?. Construction Management and Economics, 23(01), 107-19.

Kirkham, R J (2005) Re-engineering the whole life cycle costing process. Construction Management and Economics, 23(01), 9-14.

Larsen, G D and Ballal, T M A (2005) The diffusion of innovations within a UKCI context: an explanatory framework. Construction Management and Economics, 23(01), 81-91.

Leung, M-Y, Ng, T S, Skitmore, M and Cheung, S-O (2005) Critical stressors influencing construction estimators in Hong Kong. Construction Management and Economics, 23(01), 33-44.

Mehta, R and Bridwell, L (2005) Innovative construction technology for affordable mass housing in Tanzania, East Africa. Construction Management and Economics, 23(01), 69-79.

Phua, F T T (2005) Determining the relationship between fee structure and project performance between firms: an empirical study based on institutional and task environment perspectives. Construction Management and Economics, 23(01), 45-56.

Roy, R, Low, M and Waller, J (2005) Documentation, standardization and improvement of the construction process in house building. Construction Management and Economics, 23(01), 57-67.

Tang, S L, Ying, K C, Anson, M and Lu, M (2005) RMCSIM: A simulation model of a ready-mixed concrete plant serving multiple sites using multiple truckmixers. Construction Management and Economics, 23(01), 15-31.

  • Type: Journal Article
  • Keywords: ready-mixed; concrete; plant; truckmixers; construction; sites; optimal; Monte Carlo; simulation; Hong Kong
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/0144619032000124661
  • Abstract:

    A simulation computer program named RMCSIM has been developed to simulate a whole day of activities for a concrete plant with N mixing bays, M truckmixers (with two different capacities: 5m3 and 7m3) serving S sites, where sites are at variable distances D from the plant and variable quantities Q are required by the sites in which different placing methods are used. It is developed based on a set of data which has been reported earlier in another paper (Anson et al., 2002). An optimal number of truckmixers for a particular day’s order size can be found from the results of the simulations. The optimal volume of concrete that a truckmixer carries on any one day is found to be about 27m3 in Hong Kong situations. It is also found that a two mixing bay concrete plant always provides better services than a one mixing bay plant. The mix combinations of 5m3 and 7m3 truckmixers in the fleet have no significant effect on concreting service performance. Lastly, it can be deduced that the causes of unsatisfactory concrete delivery performance are most likely due to site managers’ difficulties in precise planning rather than the scheduling at the concrete plant.