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Autor
Banaszak Zbigniew (Koszalin University of Technology), Bocewicz Grzegorz, Bach Irena
Tytuł
CP-driven Production Process Planning in Multiproject Environment
Źródło
Decision Making in Manufacturing and Services, 2008, vol. 2, nr 1/2, s. 5-32, rys., tab., bibliogr. 15 poz.
Słowa kluczowe
Proces projektowania, Podejmowanie decyzji, Alokacja zasobów, Zarządzanie portfelem projektów
Design process, Decision making, Resource allocation, Project Portfolio Management (PPM)
Uwagi
summ.
Abstrakt
The way enterprise capabilities are used decides about its competitiveness among other ones. In that context modeling aimed at production tasks allocation planning plays a crucial role especially at concurrently executed production orders. The introduced reference model employing constraint programming (CP) paradigm describes both an enterprise and a set of project-like production orders. Moreover, encompassing consumer orders requirements and available production capabilities, the model provides the formal framework allowing one to develop a class of decision support systems aimed at interactive production process planning subject to multiproject environment constraints. In that context our contribution is a knowledge-based and CP-driven approach to resource allocation assuming precise character of decision variables. The conditions sufficient for deadlock avoidance are the main goal. The conditions delivered provide formal framework for developing a task oriented Decision Support Tool for Project Portfolio Prototyping (DST4P, Banaszak 2006). The tool provides a prompt and interactive service to a set of routine queries formulated either in straight or reverse way.(original abstract)
Pełny tekst
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Bibliografia
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  1. Bach I., Bocewicz G., Banaszak Z., 2008a: Constraint Programming Approach to Time-window and Multiresource-Constrained Projects Portfolio Prototyping. In: Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008, N.T. Nguyen et al. (Eds.):, Lecture Notes in Artificial Intelligence 5027, Springer-Verlag, Berlin, Heidelberg, pp. 767-776.
  2. Bach I., Wójcik R., Bocewicz G, 2008b: Projects Portfolio Prototyping Subject to Imprecise Activities Specification, In: Conference proceedings of 14th International Congress of Cybernetics and Systems of WOSC - ICCS'08, Wroclaw, 261-272.
  3. Banaszak Z., 2006: CP-based Decision Support for Project-driven Manufacturing. In: Perspectives in Modern Project Scheduling, (Józefowska J. and J. Węglarz (Ed)), International Series in Operations Research and Management Science, Vol. 92, Springer Verlag, New York, 409-437.
  4. Banaszak Z., Zaremba M., Muszyński W., 2005: CP-based Decision Making for SME. In: Preprints of the 16th IFAC World Congress (Eds P. Horacek, M. Simandl), P. Zitek, DVD, Prague, Czech Republic.
  5. Barták R., 2004: Incomplete Depth-First Search Techniques: A Short Survey, Proceedings of the 6th Workshop on Constraint Programming for Decision and Control, Ed. Figwer J., p. 7-14.
  6. Beale E.M.L., 1979: Branch and Bound Methods for Mathematical Programming Systems. In: P. L. Hammer, E. L. Johnson, and B. H. Korte, editors, Discrete Optimization II, North Holland Publishing Co., 201-219.
  7. Bocewicz G., Banaszak Z., Wójcik R., 2007: Design of Admissible Schedules for AGV Systems with Constraints: a Logic-algebraic Approach, Agent and Multi-Agent Systems: Technologies and Applications, Nguyen N.T., Grzech A., Howlett R.J., Jain L.C. (Eds.), Lecture Notes in Artificial Intelligence 4496, Springer-Verlag, Berlin, Heidelberg, 578-587.
  8. Linderoth T., Savelsbergh M.W.P., 1999: A Computational Study of Search Strategies in Mixed Integer Programming. INFORMS Journal on Computing, 11:173-187.
  9. Chanas S., Komburowski J., 1981: The Use of Fuzzy Variables in PERT, Fuzzy Sets and Systems, 5(1), 11-19.
  10. Dubois D., Fargier H., Fortemps P., 2003: Fuzzy scheduling: Modeling Flexible Constraints vs. Coping with Incomplete Knowledge, European Journal of Operational Research 147, 231-252.
  11. Martinez, E.C., D., Duje G.A. Perez, 1997: On Performance Modeling of Project-oriented Production. Computers and Industrial Engineering, Vol. 32, 509-527.
  12. Puget J-F., 1994: A C++ Implementations of CLP, Proceeding of SPICS 94.
  13. Schutle H., Smolka G., Wurtz J., 1998: Finite Domain Constraint Programming in Oz. German Research Center for Artificial Intelligence, Germany, D-66123 Saarbrucken.
  14. Sung. C.S., 1985: A Production Planning Model for Multi-Product Facilities. Journal of the Operations Research Society of Japan, Vol. 28, No. 4, pp. 345-385.
  15. Van Hentenryck P., 1991: Constraint Logic Programming, Knowledge Engineering Review, 6, 151-194
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ISSN
2300-7087
Język
eng
URI / DOI
http://dx.doi.org/10.7494/dmms.2008.2.2.5
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