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Tytuł artykułu

Project management subject to imprecise activity network and cost estimation constraints

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The new approach to project planning assuming soft links between activities and imprecise cost of activities execution is considered. In that context, the method allowing one to estimate the duration and the cost of project execution is proposed. The illustrative example emphasizing the advantages of the approach proposed is enclosed.
Słowa kluczowe
Rocznik
Strony
7--28
Opis fizyczny
Bibliogr. 17 poz., fig., tab.
Twórcy
autor
  • Institute of Processes and Products Innovation, Faculty of Management and Production Engineering, Opole University of Technology
autor
  • Dept. of Business Informatics, Faculty of Management, Warsaw University of Technology
Bibliografia
  • [1] BOCEWICZ G., BACH-DĄBROWSKA I., BANASZAK Z.: Declarative approach to computer aided project planning, EXIT, Warsaw, 2009
  • [2] CHANAS S., KAMBUROWSKI J.: The use of fuzzy variables in PERT, Fuzzy Sets and Systems. 1981, 5, s. 11-19
  • [3] CHEN S.-P.: Analysis of critical paths in a project network with fuzzy activity times, European Journal of Operational Research. 2007, 183, s. 442-459
  • [4] CHEN C.-T., HUANG S.-F.: Appying fuzzy method for measuring criticality in project network, Information Sciencies. 2007, 177, s. 2448-2458
  • [5] DHAR V., STEIN R.: Intelligent decision support methods, The Science of Knowledge Work. Prentice Hall, New York, 2000
  • [6] DWEIRI F.T., KABLAN M.M.: Using fuzzy decision making for the evaluation of the project management interval efficiency, Decision Support Systems. 2006, 42, p. 712-726
  • [7] JĘDRZEJCZYK Z., KUKUŁA K., SKRZYPEK J., WALKOSZ A.: Operational research in examples and works, PWN, Warsaw, 2004
  • [8] KUCHTA D.: Use of fuzzy numbers in project risk (criticality) assessment, International Journal of Project Management. 2001, 19, s. 305-310
  • [9] MADAUSS B.J.: Handbuch Projektmanagement, Schäffer-Poeschel Verlang, Stuttgart, 1994
  • [10]TAMIMI S., DIEKMANN J.: Soft logic in network analysis, Journal of Computing in Civil Engineering, Vol. 2, No. 3, 1988, 289-300
  • [11]TROCKI M., GRUCZA B., OGONEK K.: Project management, PWE, Warsaw, 2003
  • [12]WANG W.C.: Impact of soft logic on the probabilistic duration of construction project, Iterantional Journal of Project management, No. 23, 2005, 600-610
  • [13]YOON K.P.: A probabilistic approach to rank complex fuzzy numbers, Fuzzy Sets and Systems. 1996, 80, s. 167-176
  • [14]ZADEH L.A.: Fuzzy sets, Information and Control. 1965, 8, s. 338-353
  • [15]ZARE H.K., GHOMI S.M.T.F., KARIMI B.: Developing a heuristic algorithm for order production planning using network models under uncertainty conditions, Applied Mathematics and Computation, 2006, 182, s. 1208-1218
  • [16]ZHANG H., TAM C.M., LI H.: Modelling uncertain activity duration by fuzzy number and dicrete-event simulation, European Journal of Operational Research. 2005, 164, s. 715-728
  • [17] http://www.control-systems-principles.co.uk/whitepapers/fuzzy-logic-systems.pdf, 25.02.2010
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b8845450-8181-4aca-9c52-37d93c73e13b
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