PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Risk assessement in multi-project environment

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Decision making supported by task-oriented software tools plays a pivotal role in a modern enterprise. That is because commercially available ERP systems are not able to respond in an interactive on-line/real-time mode. It opens a new generation of DSS that enable a fast prototyping of production flows in multi-project environment as well as an integrated approach to project execution evaluation. In that context our goal is to provide a knowledge base approach allowing one to be independent on a context or representation of particular data as well as allowing designing an interactive and task-oriented decision support system (DSS). The assumed knowledge base mode of specifying a production system leads to solving a logic-algebraic method (LAM) decision problem. The approach proposed complements the decision system with an additional module (evaluation module) and facilitates searching for possible solutions meeting company production programme execution evaluation criteria. The results obtained are implemented in a software package supporting project management in the SMEs. Illustrative example of the ILOG-based software application is provided.
Rocznik
Strony
73--93
Opis fizyczny
Bibliogr. 28 poz., fig.
Twórcy
  • Opole University of Technology, Faculty of Management and Production Engineering, 45-370 Opole, Poland
autor
  • Technical University of Koszalin, Department of Computer Science and Management, Śniadeckich 2, 75-453 Koszalin, Poland
Bibliografia
  • [1] Anavi-Isakow S., Golany B.: Managing multi-project environments through constant work-in-process. International Journal of Project Management, 2003, Vol. 21, pp. 9-18.
  • [2] Banaszak Z., Zaremba M., Project-driven planning and scheduling support for virtual manufacturing, Springer, Journal of Intelligent Manufacturing, 2006, Vol. 17, No. 6, pp. 641- 651.
  • [3] Banaszak Z., Zaremba M., CLP-based project-driven manufacturing, Prep. of the 7th IFAC Symposium on Cost Oriented Automation, June 6-9, 2004, Gatineau, Quebec, Canada, pp. 269-274.
  • [4] Banaszak Z., Józefczyk J., Towards CLP-based task oriented DSS for SME, Applied Computer Science and Production Management, Vol.1, No.1: 161-180, 2005.
  • [5] Baas S.M., Kwakernaak H. Rating and Raking of Multiple-Aspects Alternatives Using Fuzzy Sets, Automatica, vol. 13 (1977), pp. 47-58.
  • [6] Brucker. O., Drexl A., Möhring R., Neumann K., Pesch E.: Resource-constrained project scheduling: Notation, classification, models, and methods. European Journal of Operational Research, 1999, Vol. 112, pp. 3-41.
  • [7] Bubnicki Z. Uncertain logics, variables and systems, Proceedings of 13th International Conference on Systems Research, Informatics and Cybernetics, s. 1-5, Baden-Baden, 2001.
  • [8] Bubnicki Z.: Logic-algebraic method for a class of knowledge based systems, F. Picher, R. Moreno Diaz (red.). Computer Aided Systems Theory. Lecture Notes in Computer Science, Berlin: Springer-Verlag, 1333, 1997.
  • [9] Bubnicki Z.: Logic-algebraic method for knowledge-based relation systems, Systems Analysis Modeling and Simulations, vol. 33, 1998.
  • [10] Garey M., Johnson D., Computers and Intractability. A guide to the Theory of NPCompleteness, W. H. Freeman and Company, 1979.
  • [11] Ilog Solver, Object oriented constraint programming, Ilog S.A., 12, Av. Raspail, BP 7, 94251 Gentilly cedex, France, 1995.
  • [12] Kerzner H.: Project Management – A system approach to planning, scheduling and controlling. Van Nostrand Reinhold Company Inc., New York, 1984.
  • [13] Kolisch R., Hartmann S.: Heuristic algorithms for the resource-constrained project scheduling problem: Classification and computational analysis. [w]: Praca pod redakcją Węglarza J., Project Scheduling: Recent Models, Algorithms and Applications, Kluwer Academic Publishers, Amsterdam, 1998, pp. 147-178.
  • [14] Lova A., Maroto C., Tormos P.: A multicriteria heuristic method to improve resource allocation in multiproject scheduling. European Journal of Operational Research, Vol. 127, 2000, pp. 408-424.
  • [15] Rossi F., Constraint (Logic) programming: A Survey on Research and Applications, K.R. Apt et al. (Eds.), New Trends in Constraints, LNAI 1865, Springer-Verlag, Berlin, 2000, pp. 40-74.
  • [16] Saaty T., Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, Pittsburgh, PA, RWS Publications.
  • [17] Saaty T., An exposition of the AHP in reply to the paper Remarks on the Analytic Hierarchy process, Management Science, 36, 3, 1990, 259-268.
  • [18] Ilog Solver, Object oriented constraint programming, Ilog S.A., 12, Av. Raspail, BP 7, 94251 Gentilly cedex, France, 1995.
  • [19] Sevtsenko E., Rittner R., Karaulova T., Using of Multi-Agents in an Intelligent Decision Support System for Collaborative SME-s, Nordic Conference on Product Lifecycle Management, 2006, pp. 123-134.
  • [20] Srivastava, Kambhampati S., Planning the project management way: Efficient planning by effective integration of causal and resource reasoning in real plan. Artificial Intelligence, 2001, No.131, pp. 73-134.
  • [21] Tomczuk-Piróg I., Muszyński W., Bocewicz G., CLP – Based Approach to Decision Making Aimed at Production Orders Prototyping, Proc. of the 12th IEEE Int. Conf. on Methods and Models in Automation and Robotics, 2006, pp. 1091-1097.
  • [22] Tomczuk-Piróg I., Wójcik R., Banaszak Z., Decisios Support Systems Based on CLP Approach in SMEs, Proc. of the 11th IEEE Int. Conf. on Emerging Technologies and Factory Automation, 2006, pp. 937-942.
  • [23] Tsubakitani S., Deckro F. R.: A heuristic for multi project scheduling with limited resources in the housing industry. European Journal of Operation Research, 1990, Vol. 49, No. 1, pp. 80-91.
  • [24] Van Hentenryck P., Perron L, Puget J., 2000, Search and Strategies in OPL, ACM Transactions on Computational Logic, Vol. 1, No. 2, pp. 1-36.
  • [25] Van Roy P., Haridi S., Concepts, Techniques and Models of Computer Programming, Helion, Gliwice, 2005.
  • [26] Wallace M., 2000, Constraint Logic Programming, Ed. A.C. Kakas, F. Sadri, Computat. Logic, LNAI 2407, Springer-Verlag, Berlin, Heidelberg, pp. 512-532.
  • [27] Wallace M., Practical applications of constraint programming, Constraints Journal, Vol. 1(1), 1996, pp. 139-168.
  • [28] Wójcik R., Tomczuk-Piróg I., Banaszak Z., Towards interactive CLP-based and project driven oriented DSS design, Digital Enterprise Technology, Portugal, 2006, pp. 70.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d816ecda-f097-45a3-97d8-90340d97dc03
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.