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Genetic algorithm for construction space management

  • Construction Management
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

Poor usage of space at construction sites is one of the leading causes of decreased productivity in the construction industry; however, it is manageable, and some instances preventable. This study focuses on how to efficiently manage space for constructi on materials on high-rise buildings in congested urban areas where space for materials around the building footprint is not available. The construction materials layout plan provides a logical order and priority for space planning decisions with reasonable costs. Genetic Algorithm (GA) modeling assumptions are made in order to properly allocate space for materials that will result in lower computational costs and increased in productivity.

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References

  • Ahuja, L.N. and Nandakumar, V. (1984). “Enhancing Reliability of Project Duration Forecasts.”American Association of Cost Engineers Transactions, E.6.1–E.6.12.

  • Emad, E., Tarek, H., Abdel, H.H., and Adel, E. (2001). “Schedule-dependent evolution of site layout planning.”Construction Management and Economics, Vol. 19, pp. 689–697.

    Article  Google Scholar 

  • Gero, J.S. and Kazakov, V.A. (1997). “Learning and re-using information in space layout planning problems using genetic engineering.”Artificial Intelligence in Engineering, Vol. 11, No. 3, pp. 329–334.

    Article  Google Scholar 

  • Kuntz, K. (1994). “A Construction Crew Evaluation Model.” Computer Integrated Construction Research Program, Department of Architectural Engineering, Pennsylvania State University, University Park, PA.

    Google Scholar 

  • Li, H. and Love, P.E.D. (2000). “Genetic search for solving construction site-level unequal-area facility layout problems.”Automation in Construction, Vol. 9, No. 2, pp. 217–226.

    Article  Google Scholar 

  • Lin, K.L. and Haas, C.T. (1996) “An interactive planning environment for critical operations.”Journal of Construction Engineering and Management-Asce, Vol. 122, No. 3, pp. 212–222.

    Article  Google Scholar 

  • Oglesby, C.H., Parker, H.W., and Howell, G.A. (1989).Productivity Improvement in Construction, Mc Graw-Hill Inc., New York, N.Y.

    Google Scholar 

  • Philip, M.I., Mahadevan, N., and Varghese, K. (1997). “Optimization of construction site layout—A genetic algorithm approach.”Proceedings of the Fourth Congress held in conjunction with A/E/E SYSTEMS'97, New York, pp. 710–717.

  • Rad, P. (1980). “Analysis of working space congestion from scheduling data.”American Association of Cost Engineers Transactions, F.4.1–F.4.5

  • Riley, D.R. (1994).Modeling the space behavior of construction activities, Pennsylvania State University, University Park, PA.

    Google Scholar 

  • Sanders, S.R., Thomas, H.R., and Smith, G.R. (1989). “An Analysis of factors affecting labor productivity in masonry construction.” PTI #9003, Pennsylvania State University, University Park, PA.

    Google Scholar 

  • Tam, C.M., Tong, T.K.L., Leung, A.W.T., and Chiu, G.W.C. (2002). “Site layout planning using nonstructural fuzzy decision support system.”Journal of Construction Engineering and Management-Asce, Vol. 128, No. 3, pp. 220–231.

    Article  Google Scholar 

  • Thabet, W.Y. and Beliveau, Y.J. (1997). “SCaRC: Space-constrained resource-constrained scheduling system.”Journal of Computing in Civil Engineering, Vol. 11, No. 1, pp. 48–59.

    Article  Google Scholar 

  • Tommelein, I.D., Levitt, R.E., Hayes-Roth, B., and Confrey, T. (1991). “SightPlan experiments: Altemate strategies for site layout design.”Journal of Computing in Civil Engineering, Vol. 5, No. 1, pp. 41–63.

    Article  Google Scholar 

  • Tommelein, I.D. and Zouein, P.P. (1993). “Interactive Dynamic Layout Planning.”Journal of Construction Engineering and Management-Asce, Vol. 119, No. 2, pp. 266–287.

    Article  Google Scholar 

  • Yeh, I.C. (1995). “Construction-Site Layout Using Annealed Neural-Network.”Journal of Computing in Civil Engineering, Vol. 9, No. 3, pp. 201–208.

    Article  Google Scholar 

  • Zouein, P.P., Harmanani, H., and Hajar, A. (2002). “Genetic algorithm for solving site layout problem with unequal-size and constrained facilities.”Journal of Computing in Civil Engineering, Vol. 16, No. 2, pp. 143–151.

    Article  Google Scholar 

  • Zouein, P.P. and Tommelein, I.D. (2001). “Improvement algorithm for limited space scheduling.”Journal of Construction Engineering and Management-Asce, Vol. 127, No. 2, pp. 116–124.

    Article  Google Scholar 

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Correspondence to Hyoun-Seung Jang.

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Jang, HS. Genetic algorithm for construction space management. KSCE J Civ Eng 8, 365–369 (2004). https://doi.org/10.1007/BF02829160

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  • DOI: https://doi.org/10.1007/BF02829160

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