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Project Realization Scheduling and its Multi Criteria Evaluation

Author

Listed:
  • Witkowski Tadeusz

    (Faculty of Management, Warsaw University of Technology, 02-524 Warszawa, Poland)

  • Antczak Paweł

    (Faculty of Management, Warsaw University of Technology, 02-524 Warszawa, Poland)

  • Antczak Arkadiusz

    (Faculty of Management, Warsaw University of Technology, 02-524 Warszawa, Poland)

Abstract

The paper focuses on project scheduling classification issues according to the type of constraints and optimization directions. Special attention was paid to production scheduling, presenting the basic issues in relation with product flow organizational criterion. Open-cluster issue was formulated and analyzed with the use of modern heuristics. Solution was evaluated with multiple criteria, mainly on the basis of time characteristics. Production process flow relations, in coordinates determined by operation sequence at particular workplaces, as well as the production type factor were presented.

Suggested Citation

  • Witkowski Tadeusz & Antczak Paweł & Antczak Arkadiusz, 2009. "Project Realization Scheduling and its Multi Criteria Evaluation," Foundations of Management, Sciendo, vol. 1(2), pages 25-44, January.
  • Handle: RePEc:vrs:founma:v:1:y:2009:i:2:p:25-44:n:2
    DOI: 10.2478/v10238-012-0009-8
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    References listed on IDEAS

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    1. Hapke, Maciej & Jaszkiewicz, Andrzej & Slowinski, Roman, 1998. "Interactive analysis of multiple-criteria project scheduling problems," European Journal of Operational Research, Elsevier, vol. 107(2), pages 315-324, June.
    2. Viana, Ana & Pinho de Sousa, Jorge, 2000. "Using metaheuristics in multiobjective resource constrained project scheduling," European Journal of Operational Research, Elsevier, vol. 120(2), pages 359-374, January.
    3. Lova, Antonio & Maroto, Concepcion & Tormos, Pilar, 2000. "A multicriteria heuristic method to improve resource allocation in multiproject scheduling," European Journal of Operational Research, Elsevier, vol. 127(2), pages 408-424, December.
    4. Tsai, Ying-Wei & D. Gemmill, Douglas, 1998. "Using tabu search to schedule activities of stochastic resource-constrained projects," European Journal of Operational Research, Elsevier, vol. 111(1), pages 129-141, November.
    5. Jacek Błażewicz & Klaus H. Ecker & Erwin Pesch & Günter Schmidt & Jan Węglarz, 2007. "Handbook on Scheduling," International Handbooks on Information Systems, Springer, number 978-3-540-32220-7, November.
    6. W. J. Gutjahr & C. Strauss & E. Wagner, 2000. "A Stochastic Branch-and-Bound Approach to Activity Crashing in Project Management," INFORMS Journal on Computing, INFORMS, vol. 12(2), pages 125-135, May.
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