Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 15 results ...

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.

  • Type: Journal Article
  • Keywords: Computer applications; Construction management; Algorithms; Optimization; Scheduling; Infrastructure; Cost control; scheduling; construction; management; cost optimal control; resource allocation; planning; civil engineering;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:2(160)
  • Abstract:
    This paper presents an innovative model for scheduling, resource planning, and cost optimization of large construction and/or maintenance programs that involve multiple distributed sites. The proposed distributed scheduling model (DSM) employs an information system to store data related to various work sites, activities’ optional construction methods, and available resources. The DSM also incorporates a scheduling algorithm that is resource focused, and maintains crew work continuity under any sequence of distributed sites. To minimize cost and meet project time and resource constraints, the DSM uses genetic algorithms to determine the optimum set of construction methods and the optimum routing order among sites. Details of the DSM formulation are presented in this paper and the benefits to municipalities and contractors are outlined.

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.

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.