Abstracts – Browse Results
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Akbari, S, Khanzadi, M and Gholamian, M R (2018) Building a rough sets-based prediction model for classifying large-scale construction projects based on sustainable success index. Engineering, Construction and Architectural Management, 25(04), 534–58.
Bordass, B and Leaman, A (1997) Future buildings and their services. Building Research & Information, 25(04), 190–5.
Carter, K and Fortune, C (2007) Sustainable development policy perceptions and practice in the UK social housing sector. Construction Management and Economics, 25(04), 399–408.
Chan, P W and Dainty, A R J (2007) Resolving the UK construction skills crisis: a critical perspective on the research and policy agenda. Construction Management and Economics, 25(04), 375–86.
Chen, J J (1997) The impact of Chinese economic reforms upon the construction industry. Building Research & Information, 25(04), 239–45.
Friedman, A and Cammalleri, V (1997) Selection criteria for energy-efficient windows. Building Research & Information, 25(04), 234–8.
Gooding, D and Thomas, T (1997) Soilcrete blocks. Building Research & Information, 25(04), 202–9.
Hagan, E B (1997) The use of stabilized soil to enhance rural housing. Building Research & Information, 25(04), 210–7.
Harris, D J and Dudek, S J M (1997) Heat losses from suspended timber floors. Building Research & Information, 25(04), 226–33.
Ismail, Z B (2018) Improving contractor social networking on IBS infrastructure maintenance projects: a review. Engineering, Construction and Architectural Management, 25(04), 479–96.
Jha, K N and Misra, S (2007) Ranking and classification of construction coordination activities in Indian projects. Construction Management and Economics, 25(04), 409–21.
Kelly, J (2007) Making client values explicit in value management workshops. Construction Management and Economics, 25(04), 435–42.
Kindangen, J I (1997) Window and roof configurations for comfort ventilation. Building Research & Information, 25(04), 218–25.
Lam, K-C, Ning, X and Ng, T (2007) The application of the ant colony optimization algorithm to the construction site layout planning problem. Construction Management and Economics, 25(04), 359–74.
- Type: Journal Article
- Keywords: ACO algorithm; site layout; heuristic; closeness relationship
- ISBN/ISSN: 0144-6193
- URL: http://www.informaworld.com/openurl?genre=article&issn=0144%2d6193&issue=4&spage=359&volume=25
- Abstract:
A good site layout is vital to ensure the safety of the working environment, and for effective and efficient operations. Moreover, it minimizes travel distance, decreases materials handling, and avoids the obstruction of materials and plant movement. Based on studies in the manufacturing industry, the cost of materials handling could be reduced by 20-60% if an appropriate facility layout is adopted. In designing a site layout, a planner will first position the key facilities that influence the method and sequence of construction, and then assign the remaining facilities in the available space that is left over. This process is similar to the positioning of facilities in the ant colony optimization (ACO) algorithm. The general principle of the ACO algorithm is to assign facilities to a location one by one, and the occupied locations are deleted from the location scope in the next assignment. In the study, ACO algorithm is employed to resolve the construction site layout planning problem in a hypothetical medium-sized construction project. By applying fuzzy reasoning and the entropy technique, the study calculates the closeness relationship between facilities, in which the optimal site layout is affected by the mutual interaction of facilities.
Li, C Q (1997) Deterioration of concrete building structures. Building Research & Information, 25(04), 196–201.
Li, J, Yu, M and Wang, H (2018) A taxonomy of performance shaping factors for shield tunnel construction. Engineering, Construction and Architectural Management, 25(04), 574–96.
Lingard, H C, Yip, B, Rowlinson, S and Kvan, T (2007) The experience of burnout among future construction professionals: a cross-national study. Construction Management and Economics, 25(04), 345–57.
Mahjoubpour, B, Nasirzadeh, F, Mohammad Hosein Zadeh Golabchi, M, Ramezani Khajehghiasi, M and Mir, M (2018) Modeling of workers’ learning behavior in construction projects using agent-based approach. Engineering, Construction and Architectural Management, 25(04), 559–73.
Olsen, J, Lee, Z-H and Pong, W (2007) Optimal selection of concrete anchors for connection cost reduction. Construction Management and Economics, 25(04), 423–34.
Oo, B-L, Drew, D S and Lo, H P (2007) Applying a random coefficients logistic model to contractors' decision to bid. Construction Management and Economics, 25(04), 387–98.
Shahsavand, P, Marefat, A and Parchamijalal, M (2018) Causes of delays in construction industry and comparative delay analysis techniques with SCL protocol. Engineering, Construction and Architectural Management, 25(04), 497–533.