A Decision Making System for Construction Temporary Facilities Layout Planning in Large-Scale Construction Projects
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Water AT, Protection BW (2013) Construction facilities and temporary controls. The University of Massachusetts Amherst will be posting all addenda to the procurement web site 1990
Chau KW, Anson M (2002) A knowledge-based system for construction site level facilities layout. Developments in applied artificial intelligence. Springer, Berlin Heidelberg, pp 393–402
Ning X, Lam KC, Lam MCK (2011) A decision-making system for construction site layout planning. Autom Constr 20(4):459–473
Cheng MY, O’Connor JT (1996) ArcSite: enhanced GIS for construction site layout. J Constr Eng Manag 122(4):329–336
Elbeltagi E, Hegazy T (2001) A hybrid AL-based system for site layout planning in construction. Comput Aided Civil Infrastruct Eng 16(2):79–93
Zhang H, Wang JY (2008) Particle swarm optimization for construction site unequal-area layout. J Constr Eng Manag 134(9):739–748
El-Rayes K, Khalafallah A (2005) Trade-off between safety and cost in planning construction site layouts. J Constr Eng Manag 131(11):1186–1195
Cheng MY, O’Connor JT (1994) Site layout of construction temporary facilities using an enhanced-geographic information system (GIS). Autom Constr 3(1):11–19
Osman HM, Georgy ME, Ibrahim ME (2003) A hybrid CAD-based construction site layout planning system using genetic algorithms. Autom Constr 12(6):749–764
Sanad HM, Ammar MA, Ibrahim ME (2008) Optimal construction site layout considering safety and environmental aspects. J Constr Eng Manag 134(7):536–544
Samdani SA, Bhakal L, Singh AK (2006) Site layout of temporary construction facilities using ant colony optimization. In: Los Angeles Section International Committee 4th International Engineering and Construction Conference
Dweiri F, Meier FA (1996) Application of fuzzy decision-making in facilities layout planning. Int J Prod Res 34(11):3207–3225
Hegazy T, Elbeltagi E (1999) EvoSite: evolution-based model for site layout planning. J Comput Civ Eng 13(3):198–206
Karray F, Zaneldin E, Hegazy T, Shabeeb AH, Elbeltagi E (2000) Tools of soft computing as applied to the problem of facilities layout planning. IEEE Trans Fuzzy Syst 8(4):367–379
Ning X, Lam KC, Lam MCK (2010) Dynamic construction site layout planning using max-min ant system. Autom Constr 19(1):55–65
Lin CJ, Wen UP (2004) A labeling algorithm for the fuzzy assignment problem. Fuzzy Sets Syst 142(3):373–391
Yao JS, Lin FT (2002) Constructing a fuzzy flow-shop sequencing model based on statistical data. Int J Approx Reason 29(3):215–234
Yao JS, Wu K (1999) Consumer surplus and producer surplus for fuzzy demand and fuzzy supply. Fuzzy Sets Syst 103(3):421–426
Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, New York
Valadan Zoej MJ, Mesgari MS, Beheshtifar S, Karimi M, Samadi R, Yousefi H, Sohrab T (2005) Thermal power plant site selection using GIS. http://www.gisdevelopment.net/-application/utility/power/ma05154.htm
Murray AT (2010) Advances in location modeling: GIS linkages and contributions. J Geogr Syst 12(3):335–354
Roig-Tierno N, Baviera-Puig A, Buitrago-Vera J, Mas-Verdu F (2013) The retail site location decision process using GIS and the analytical hierarchy process. Appl Geogr 40:191–198
Robbins KL (2013) Location–allocation using GIS to improve emergency response. Doctoral dissertation, Northern Illinois University
Bell N, Boscoe FP (2013) Geographic health data: fundamental techniques for analysis. CABI Press, Wallingford
Burrough PA (1996) Opportunities and limitations of GIS-based modeling of solute transport at the regional scale. Application of GIS to the modeling of non-point source pollutants in the Vadose Zone, SSSA Special Publication 48. Soil Science Society of America, Madison, pp 19–37
Jiang H, Eastman JR (2000) Application of fuzzy measures in multi-criteria evaluation in GIS. Int J Geogr Inf Sci 14(2):173–184
Wang F, Hall GB (1996) Fuzzy representation of geographical boundaries in GIS. International Journal of Geographical Information Systems 10(5):573–590
Eastman RJ (1997) IDRISI for windows: user’s guide. Clark University, Graduate School of Geography
Dubois D, Prade H (1980) Fuzzy sets and systems. Academic Press, Cambridge
Thole U, Zimmermann HJ, Zysno P (1979) On the suitability of minimum and product operators for the intersection of fuzzy sets. Fuzzy Sets Syst 2:167–180
Yao L, Xu J, Guo F (2012) A stone resource assignment model under the fuzzy environment. Math Probl Eng 2012:265837. doi: 10.1155/2012/265837
Xu J, Zhou X (2011) Fuzzy-like multiple objective decision making. Springer, Berlin
Kaufmann A (1985) Introduction to fuzzy arithmetic: theory and applications. Van Nostrand Reinhold, New York
Datta D, Amaral AR, Figueira JR (2011) Single row facility layout problem using a permutation-based genetic algorithm. Eur J Oper Res 213(2):388–394
Aiello G, La Scalia G, Enea M (2012) A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding. Expert Syst Appl 39(12):10352–10358
García-Hernández L, Pierreval H, Salas-Morera L, Arauzo-Azofra A (2013) Handling qualitative aspects in Unequal area facility layout problem: an interactive genetic algorithm. Appl Soft Comput 13(4):1718–1727
Sakawa M, Shibano T (1996) Interactive fuzzy programming for multiobjective 0-1 programming problems through genetic algorithms with double strings. In: Ruan D (ed) Fuzzy logic foundations and industrial applications. Kluwer Academic Publishers, Boston, pp 111–128
Sakawa M, Kato K, Sunada H, Shibano T (1997) Fuzzy programming for multiobjective 0-1 programming problems through revised genetic algorithms. Eur J Oper Res 97(1):149–158
Sakawa M, Nishizaki I (2009) Cooperative and noncooperative multi-level programming [electronic resource], vol 48. Springer, Berlin
Houck CR, Joines JA, Kay MG (1995) A genetic algorithm for function optimization: a Matlab implementation. Technical Report: NCSU-IE-TR-95-09. North Carolina State University, Raleigh, NC
Sakawa IM (2000) Computational methods through genetic algorithms for obtaining Stackelberg solutions to two-level mixed zero-one programming problems. Cybern Syst 31(2):203–221
Li DM (2005) Multi-attribute decision making models and methods using intuitionistic fuzzy sets. J Comput Syst Sci 70(1):73–85
Tan CQ, Zhang Q (2006) Intuitionistic fuzzy set method for fuzzy multiple attribute decision making. Syst Math 20(5):71–76