Abstracts – Browse Results

Search or browse again.

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

Blismas, N, Pasquire, C and Gibb, A (2006) Benefit evaluation for off-site production in construction. Construction Management and Economics, 24(02), 121-30.

Chang, A S and Tien, C-C (2006) Quantifying uncertainty and equivocality in engineering projects. Construction Management and Economics, 24(02), 171-84.

Edwards, D J and Holt, G D (2006) Hand-arm vibration exposure from construction tools: results of a field study. Construction Management and Economics, 24(02), 209-17.

Leishman, C and Warren, F (2006) Private housing design customization through house type substitution. Construction Management and Economics, 24(02), 149-58.

Lingard, H and Francis, V (2006) Does a supportive work environment moderate the relationship between work-family conflict and burnout among construction professionals?. Construction Management and Economics, 24(02), 185-96.

Manoliadis, O, Tsolas, I and Nakou, A (2006) Sustainable construction and drivers of change in Greece: a Delphi study. Construction Management and Economics, 24(02), 113-20.

Muya, M, Price, A D F and Edum-Fotwe, F T (2006) Overview of funding for construction craft skills training in Sub-Saharan Africa: a case study of Zambia. Construction Management and Economics, 24(02), 197-208.

Shohet, I M and Paciuk, M (2006) Service life prediction of exterior cladding components under failure conditions. Construction Management and Economics, 24(02), 131-48.

Zhang, H, Li, H and Tam, C M (2006) Heuristic scheduling of resource-constrained, multiple-mode and repetitive projects. Construction Management and Economics, 24(02), 159-69.

  • Type: Journal Article
  • Keywords: Scheduling; heuristic algorithm; repetitive projects; resource-constraints; multiple modes; a combination of activities
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190500184311
  • Abstract:

    An alternative heuristic method for scheduling repetitive projects in which resources are limited and activities may be executed with multiple modes of resource demands associated with different durations is proposed. Unlike general heuristic methods that separately analyze each competing activity and schedule only one at a time, the proposed heuristic algorithm ranks possible combinations of activities every time and simultaneously schedules all activities in the selected combination leading to minimal project duration. All alternative combinations of activities in consideration of resource constraints, multiple modes and characteristics of the repetitive projects are determined through a permutation tree-based procedure. The heuristic method is implemented based on the corresponding framework. An example is presented to demonstrate the efficiency of the proposed heuristic method. The study is expected to provide an efficient heuristic methodology for solving the project scheduling problem.