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Application of uncertain variables to a project management under uncertainty

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper concerns task and resource allocation in a complex of operations which may be considered as a part of the knowledge-based project management system. The brief overview of concepts and results concerning the allocation problem under uncertainty described by uncertain variables is presented. An application of two-level decomposition of the complex and the allocation taking into account uncertain and random parameters in the description of the operations are discussed. Two simple examples illustrate the approach presented.
Czasopismo
Rocznik
Strony
65--79
Opis fizyczny
Bibliogr. 14 poz.,
Twórcy
autor
  • Systems Research Institute, Polish Academy of Sciences, Lab. Knowledge Syst./Artif. Intell., 50-449 Wroclaw, Poland
Bibliografia
  • [1] Bubnicki Z., Two-level optimization and control of the complex of operations. Proc. VII World IFAC Congress, Oxford, Pergamon Press, Vol. 2, 1978.
  • [2] Bubnicki Z., Staroświecki M., Lebrun A., Optimal planning of production under uncertain operating conditions. Proc. VIII World IFAC Congress, Pergamon Press, Kyoto, Oxford, Vol. 9, 1981.
  • [3] Bubnicki Z., Uncertain variables and their applications for a class of uncertain systems. International Journal of Systems Science, 32, No. 5, 2001, 651-659.
  • [4] Bubnicki Z., Uncertain variables and their application to decision making, IEEE Trans, on SMC, Part. A: Systems and Humans, 31, No. 6, 2001, 587-596.
  • [5] Bubnicki Z., Application of uncertain variables in allocation problem for a complex of parallel operations. Foundations of Computing and Decision Sciences, 27, No. 1, 2002, 3-15.
  • [6] Bubnicki Z., Application of uncertain variables to decision making in a class of distributed computer systems, Proc. of 17th IFIP World Computer Congress, Montreal, 2002, 261-264.
  • [7] Bubnicki Z., Learning process in a class of computer integrated manufacturing systems with parametric uncertainties. Journal of Intelligent Manufacturing, Special Issue on CIM Workflow, 13, No. 6, 2002, 409-415.
  • [8] Bubnicki Z., Uncertain Logics, Variables and Systems, Springer-Verlag, London, Berlin, New York, 2002.
  • [9] Bubnicki Z., Uncertain variables and their applications for control systems, Kybemetes, 31, No. 9/10, 2002, 1260-1273.
  • [10] Bubnicki Z., Application of uncertain variables and learning algorithm to task allocation in multiprocessor systems, Proc. of 8th Int. AROB Sym., Japan, I-19-I-22, 2003.
  • [11] Bubnicki Z., Application of uncertain variables in a class of control systems with uncertain and random parameters. Proc. of the European Control Conference, Cambridge 2003.
  • [12] Bubnicki Z., Analysis and Decision Making in Uncertain Systems, Springer-Verlag, London, Berlin, 2004, (in preparation).
  • [13] Duncan W. R., A Guide to the Project Management Body of Knowledge, White Plains, Maryland, Project Management Institute, 1996.
  • [14] Gray C. F., Larson E. W., Project Management, McGraw-Hill, London, Singapore, 2000.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW4-0002-0130
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