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Cuervo, J C and Pheng, L S (2003) Ownership advantages/disadvantages of Singapore transnational construction corporations. Construction Management and Economics, 21(01), 81-94.

Fo, S, Marsh, x and Cockerham, G (2003) Assessing the capability of construction processes to realize building designs. Construction Management and Economics, 21(01), 7-10.

Ho, C M-F and Ng, V C-W (2003) Quantity surveyors' background and training, and their ethical concepts, conceptions and interests considerations. Construction Management and Economics, 21(01), 43-67.

Leung, M-Y and Liu, A M M (2003) Analysis of value and project goal specificity in value management. Construction Management and Economics, 21(01), 11-9.

Lingard, H (2003) The impact of individual and job characteristics on 'burnout' among civil engineers in Australia and the implications for employee turnover. Construction Management and Economics, 21(01), 69-80.

Pongpeng, J and Liston, J (2003) TenSeM: a multi-criteria and multi-decision -makers' model in tender evaluation. Construction Management and Economics, 21(01), 21-30.

Zhang, H and Tam, C M (2003) Fuzzy decision making for dynamic resource allocation. Construction Management and Economics, 21(01), 31-41.

  • Type: Journal Article
  • Keywords: resource allocation; dynamic decision making; simulation; fuzzy sets
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/0144619032000065108
  • Abstract:

    For construction activities, timely resource allocation is crucial to avoid unnecessary waiting time of resources and delay of activities, especially under the condition of limited supply of resources. Timely resource allocation, i.e. determination of an activity that has the highest priority to obtain resources at that instant, is a dynamic decision-making process dependent on real-time information during a construction process. With the consideration of operational and stochastic characteristics of construction operations and the fuzziness of multiple-decision objectives for an appropriate allocation policy (due to imprecision or subjectivity in decision criteria), a fuzzy dynamic resource allocation (FDRA) based on the fuzzy decision-making approach is developed. In order to model the timely resource allocation decisions, the FDRA is built into a discrete event simulation system with an activity scanning strategy. The benefit of FDRA on construction productivity is analysed through simulation experimentation by which comparisons among different allocation policies are made.