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Arboleda, C A and Abraham, D M (2004) Fatalities in Trenching Operations—Analysis Using Models of Accident Causation. Journal of Construction Engineering and Management, 130(02), 273–80.

Barker, R, Childerhouse, P, Naim, M, Masat, J and Wilson, D (2004) Potential of Total Cycle Time Compression in Construction: Focus on Program Development and Design. Journal of Construction Engineering and Management, 130(02), 177–87.

Chan, A P C, Chan, D W M, Chiang, Y H, Tang, B S, Chan, E H W and Ho, K S K (2004) Exploring Critical Success Factors for Partnering in Construction Projects. Journal of Construction Engineering and Management, 130(02), 188–98.

Choi, H, Cho, H and Seo, J W (2004) Risk Assessment Methodology for Underground Construction Projects. Journal of Construction Engineering and Management, 130(02), 258–72.

Hadikusumo, B H W and Rowlinson, S (2004) Capturing Safety Knowledge Using Design-for-Safety-Process Tool. Journal of Construction Engineering and Management, 130(02), 281–9.

Hegazy, T, Elhakeem, A and Elbeltagi, E (2004) Distributed Scheduling Model for Infrastructure Networks. Journal of Construction Engineering and Management, 130(02), 160–7.

Jeong, H S, Abraham, D M and Lew, J J (2004) Evaluation of an Emerging Market in Subsurface Utility Engineering. Journal of Construction Engineering and Management, 130(02), 225–34.

Lingard, H (2004) Work and Family Sources of Burnout in the Australian Engineering Profession: Comparison of Respondents in Dual- and Single-Earner Couples, Parents, and Nonparents. Journal of Construction Engineering and Management, 130(02), 290–8.

Lu, M and Anson, M (2004) Establish Concrete Placing Rates Using Quality Control Records from Hong Kong Building Construction Projects. Journal of Construction Engineering and Management, 130(02), 216–24.

Sacks, R, Eastman, C M and Lee, G (2004) Process Model Perspectives on Management and Engineering Procedures in the Precast/Prestressed Concrete Industry. Journal of Construction Engineering and Management, 130(02), 206–15.

Shohet, I M and Perelstein, E (2004) Decision Support Model for the Allocation of Resources in Rehabilitation Projects. Journal of Construction Engineering and Management, 130(02), 249–57.

  • Type: Journal Article
  • Keywords: Rehabilitation; Maintenance; Buildings; Dynamic programming; Performance evaluation; resource allocation; maintenance engineering; management; performance evaluation; building; construction; civil engineering; cost optimal control;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:2(249)
  • Abstract:
    Maintenance management is becoming increasingly important in the building industry. Some of the reasons for this trend are: The large variety of uses for which buildings are constructed, the increase in the number of tall buildings, the increased use of electro-mechanical systems in buildings, and the higher performance of buildings. Because the financial resources for the maintenance of buildings and infrastructures are always limited, there is a need to find ways to allocate them among the various projects suggested for rehabilitation, renovation, and upgrading of existing buildings. The model developed in the present research to solve the problem of resource allocation is implemented in two stages, namely: (1) elimination of unfeasible solutions and (2) identification of five solution configurations that are close to the optimum. The model may be implemented in either of two ways: (1) maximization of benefits while adhering to a fixed budget or (2) minimization of costs while putting the emphasis on the performance of the buildings. The first approach is suitable for organizations interested in reducing the costs of maintenance. The second approach is suitable for organizations that wish to achieve the highest performance possible. The model developed was tested in a computer decision support system. The resultant solutions were evaluated using a large number of representative cases. The development of the model was finalized after subjecting it to sensitivity analyses. In this way, the effects of variations in conditions on the overall performance and costs were examined.

Stewart, J, Minchin, R E, Jaselskis, E J, Dayal, V and Smith, G (2004) Potential Construction Applications for Thermoset Composite Scrap Material. Journal of Construction Engineering and Management, 130(02), 199–205.

Zhang, X (2004) Concessionaire Selection: Methods and Criteria. Journal of Construction Engineering and Management, 130(02), 235–44.

Zheng, D X M, Ng, S T and Kumaraswamy, M M (2004) Applying a Genetic Algorithm-Based Multiobjective Approach for Time-Cost Optimization. Journal of Construction Engineering and Management, 130(02), 168–76.

Zwick, D C and Miller, K R (2004) Project Buyout. Journal of Construction Engineering and Management, 130(02), 245–8.