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Project management in building process with uncertain tasks times

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EN
Abstrakty
EN
In this paper there is presented a problem of scheduling of construction work in which certain projects must be executed. Every work consists of projects executed by separate teams. In a linear system the sequence of works is the same for every project. Uncertain tasks times are represented by fuzzy numbers or distribution of random variables. We present a tabu search algorithm and computational experiments which are aimed at checking the sustainability of set solutions.
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autor
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  • University of Wrocław, Institute of Computer Science, Joliot-Curie 15, 50-383 Wrocław, Poland, phone: +48 71 375 78 00, mwd@ii.uni.wroc.pl
Bibliografia
  • [1] Zavadskas E.K., Book review. Methods and models of research in construction projects engineering, Journal of Business Economics and Management, 9, 3, 240-243, 2008.
  • [2] Zavadskas E.K., History and evolving trends of construction colloquia on sustainability and operational research, Technological and Economic Development of Economy, 14, (4), 578-592, 2008.
  • [3] Ustinovicius L., Decision-support System for Determining the Efficiency of Investments in Construction: Summary of the research report presented for habilitation, Vilnius, Technika, 2003.
  • [4] Dean B.C., Approximation algorithms for stochastic scheduling problems, PhD thesis, MIT, 2005.
  • [5] Vondràk J., Probabilistic methods in combinatorial and stochastic optimization, PhD, MIT, 2005.
  • [6] Ishibuschi H., Murata T., Scheduling with Fuzzy Duedate and Fuzzy Processing Time, in: Scheduling Under Fuzziness, R. Słowiński and M. Hapke [Eds.], Springer-Verlag, 2000, pp. 113-143.
  • [7] Ishii H., Fuzzy combinatorial optimization, Japanese Journal of Fuzzy Theory and Systems, 4, 1, 31-40, 1992.
  • [8] Garey M.R., Johnson D.S. and Seti R., The complexity of flowshop and jobshop scheduling, Mathematics of Operations Research, 1, 117-129, 1976.
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  • [10] Ogbu F., Smith D., The Application of the Simulated Annealing Algorithm to the Solution of the n/m/Cmax Flowshop Problem, Computers & Operations Research, 17/3, 243-253, 1990.
  • [11] Bożejko W., Wodecki M., Solving Flow Shop Problem by Parallel Simulated Annealing, LNCS, Springer-Verlag, 2328, 236-244, 2002.
  • [12] Nowicki E., Smutnicki C., A fast tabu search algorithm for the permutation flow-shop problem, European Journal of Operational Research, 91, 160-175, 1996.
  • [13] Grabowski J., Wodecki M., A very fast tabu search algorithm for the permutation flow shop problem with makespan criterion, Computers & Operations Research, 31, 1891-1909, 2004.
  • [14] Reeves C., A Genetic Algorithm for Flowshop Sequencing, Computers & Operations Research, 22/1, 5-13, 1995.
  • [15] Karp R.M., Reducibility among combinatorial problems, R.E. Miller and J.W. Thatcher [Eds.], Complexity of Computer Computation, Plenum Press, New York, 1972, pp. 85-104.
  • [16] Dubois D., Prade H., Theorie des Possibilites. Applications a la representation des connaissances en informatique, Paris: MASSON, 1988.
  • [17] OR Library http://people.brunel.ac.uk/mastjjb/jeb/orlib/flowshopinfo.html
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAR0-0065-0044
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