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Dorota Kuchta

Personal Details

First Name:Dorota
Middle Name:
Last Name:Kuchta
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RePEc Short-ID:pku223
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Affiliation

Wydział Zarządzania
Politechnika Wrocławska

Wrocław, Poland
https://wz.pwr.edu.pl/
RePEc:edi:iopwrpl (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Wojciech Walczak & Dorota Kuchta, 2013. "Risks characteristic to Agile project management methodologies and responses to them," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 23(4), pages 75-95.
  2. Kuchta Dorota & Sukpen Joseph, 2013. "Culture and Project Management," Journal of Intercultural Management, Sciendo, vol. 5(3), pages 23-38, September.
  3. Dorota Kuchta, 2012. "Application of fuzzy numbers to the estimation of an ongoing project's completion time," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 22(4), pages 87-103.
  4. Dorota Kuchta, 2011. "A concept of a robust solution of a multicriterial linear programming problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 605-613, December.
  5. Barbara Gładysz & Dorota Kuchta, 2011. "A method of variable selection for fuzzy regression – the possibility approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 21(2), pages 5-15.
  6. Radosław Ryńca & Dorota Kuchta, 2010. "Teaching Process Effectiveness Model and Its Application at the University," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 4(4), December.
  7. Dorota Kuchta, 2010. "Generalization of the critical chain method supporting the management of projects with a high degree of uncertainty and imperfect information," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 20(2), pages 77-90.
  8. Dorota.Kuchta@pwr.wroc.pl & Radosław Ryńca, 2008. "Balanced Scorecard and Balanced Scorecard for processes and activities – case study of a car dealer," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(2), pages 75-86.
  9. Dorota Kuchta, 2008. "Robust choice of investment projects," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(4), pages 61-70.
  10. Barbara Gładysz & Dorota Kuchta, 2008. "Application of regression trees in the analysis of electricity load," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(4), pages 19-28.
  11. Dorota Kuchta & Radosław Ryńca, 2008. "Implementation of Balanced Scorecard for processes and activities," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(1), pages 47-59.
  12. Barbara Gładysz & Dorota Kuchta, 2008. "Estimation of long-term project risk during project realization – combination of the earned value and present value methods," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(3), pages 5-15.
  13. Kobylanski, Przemyslaw & Kuchta, Dorota, 2007. "A note on the paper by M. A. Al-Fawzan and M. Haouari about a bi-objective problem for robust resource-constrained project scheduling," International Journal of Production Economics, Elsevier, vol. 107(2), pages 496-501, June.
  14. Dorota Kuchta & Radosław Ryńca, 2007. "Process approach in Polish companies," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 17(2), pages 71-81.
  15. Dorota Kuchta & Radosław Ryńca, 2007. "Balanced scorecard and balanced scorecard for processes and activities," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 17(3-4), pages 93-110.
  16. Michał Kowalski & Dorota Kuchta, 2006. "The use of time consecrated to the realization of individual activities as a parameter to allocate resources cost to activities in Activity Based Costing," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(2), pages 63-71.
  17. Dorota Kuchta & Radosław Ryńca, 2006. "Balanced activity scorecard – combination of activity based costing and activity based management with balanced scorecard," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(1), pages 85-103.
  18. Dorota Kuchta, 2005. "Fuzzy solution of the linear programming problem with interval coefficients in the constraints," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 15(3-4), pages 35-42.
  19. Dorota Kuchta, 2004. "The critical chain method in project management – a formal description," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 14(1), pages 37-51.
  20. Dorota Kuchta & Michał Kowalski, 2004. "Implementation of Activity Based Costing method in commercial company – case study," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 14(3-4), pages 33-51.
  21. Barbara Gładysz & Dorota Kuchta, 2003. "Minimization of the expected number of late jobs in a single machine system with fuzzy processing times and fuzzy due dates," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 13(4), pages 35-42.
  22. Dorota Kuchta, 2003. "A generalisation of a solution concept for the linear programming problem with interval co-efficients," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 13(4), pages 115-123.
  23. Barbara Gładysz & Dorota Kuchta, 2003. "The two-machine open shop problem with fuzzy processing times," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 13(4), pages 43-47.
  24. Triantis, Konstantinos & Sarangi, Sudipta & Kuchta, Dorota, 2003. "Fuzzy pair-wise dominance and fuzzy indices: An evaluation of productive performance," European Journal of Operational Research, Elsevier, vol. 144(2), pages 412-428, January.
  25. Stefan Chanas & Dorota Kuchta, 1998. "An algorithm for solving bicriterial linear programmingproblems with parametrical coefficients in theobjective functions," Annals of Operations Research, Springer, vol. 81(0), pages 63-72, June.
  26. Chanas, Stefan & Kuchta, Dorota, 1996. "Multiobjective programming in optimization of interval objective functions -- A generalized approach," European Journal of Operational Research, Elsevier, vol. 94(3), pages 594-598, November.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Wojciech Walczak & Dorota Kuchta, 2013. "Risks characteristic to Agile project management methodologies and responses to them," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 23(4), pages 75-95.

    Cited by:

    1. Lill, Philipp A. & Wald, Andreas, 2021. "The agility-control-nexus: A levers of control approach on the consequences of agility in innovation projects," Technovation, Elsevier, vol. 107(C).
    2. Zhu, Delong & Li, Zhe & Mishra, Arunodaya Raj, 2023. "Evaluation of the critical success factors of dynamic enterprise risk management in manufacturing SMEs using an integrated fuzzy decision-making model," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).

  2. Dorota Kuchta, 2011. "A concept of a robust solution of a multicriterial linear programming problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 605-613, December.

    Cited by:

    1. Jerzy Grobelny & Rafal Michalski, 2020. "Effects of scatter plot initial solutions on regular grid facility layout algorithms in typical production models," WORking papers in Management Science (WORMS) WORMS/20/12, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
    2. Antonio G. Martín & Manuel Díaz-Madroñero & Josefa Mula, 2020. "Master production schedule using robust optimization approaches in an automobile second-tier supplier," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 143-166, March.
    3. P. Kumar & A. K. Bhurjee, 2022. "Multi-objective enhanced interval optimization problem," Annals of Operations Research, Springer, vol. 311(2), pages 1035-1050, April.
    4. Hanks, Robert W. & Lunday, Brian J. & Weir, Jeffery D., 2020. "Robust goal programming for multi-objective optimization of data-driven problems: A use case for the United States transportation command's liner rate setting problem," Omega, Elsevier, vol. 90(C).

  3. Barbara Gładysz & Dorota Kuchta, 2011. "A method of variable selection for fuzzy regression – the possibility approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 21(2), pages 5-15.

    Cited by:

    1. Tadeusz Galanc & Wiktor Kołwzan & Jerzy Pieronek & Agnieszka Skowronek-Grądziel, 2020. "Risk estimation and decision making in management (in selected areas of science)," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 30(1), pages 47-66.
    2. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.

  4. Barbara Gładysz & Dorota Kuchta, 2008. "Application of regression trees in the analysis of electricity load," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(4), pages 19-28.

    Cited by:

    1. Carlo Lucheroni, 2012. "A hybrid SETARX model for spikes in tight electricity markets," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 22(1), pages 13-49.

  5. Kobylanski, Przemyslaw & Kuchta, Dorota, 2007. "A note on the paper by M. A. Al-Fawzan and M. Haouari about a bi-objective problem for robust resource-constrained project scheduling," International Journal of Production Economics, Elsevier, vol. 107(2), pages 496-501, June.

    Cited by:

    1. Lin, B.M.T. & Liu, S.T., 2008. "Maximizing the reward in the relocation problem with generalized due dates," International Journal of Production Economics, Elsevier, vol. 115(1), pages 55-63, September.
    2. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    3. HazIr, Öncü & Erel, Erdal & Günalay, Yavuz, 2011. "Robust optimization models for the discrete time/cost trade-off problem," International Journal of Production Economics, Elsevier, vol. 130(1), pages 87-95, March.
    4. HazIr, Öncü & Haouari, Mohamed & Erel, Erdal, 2010. "Robust scheduling and robustness measures for the discrete time/cost trade-off problem," European Journal of Operational Research, Elsevier, vol. 207(2), pages 633-643, December.
    5. Janusz Kulejewski & Nabi Ibadov & Jerzy Rosłon & Jacek Zawistowski, 2021. "Cash Flow Optimization for Renewable Energy Construction Projects with a New Approach to Critical Chain Scheduling," Energies, MDPI, vol. 14(18), pages 1-15, September.
    6. Xiong, Jian & Xing, Li-ning & Chen, Ying-wu, 2013. "Robust scheduling for multi-objective flexible job-shop problems with random machine breakdowns," International Journal of Production Economics, Elsevier, vol. 141(1), pages 112-126.
    7. Mengqi Zhao & Xiaoling Wang & Jia Yu & Lei Bi & Yao Xiao & Jun Zhang, 2020. "Optimization of Construction Duration and Schedule Robustness Based on Hybrid Grey Wolf Optimizer with Sine Cosine Algorithm," Energies, MDPI, vol. 13(1), pages 1-17, January.
    8. Hartmann, Sönke & Briskorn, Dirk, 2008. "A survey of variants and extensions of the resource-constrained project scheduling problem," Working Paper Series 02/2008, Hamburg School of Business Administration (HSBA).
    9. Briskorn, Dirk & Leung, Joseph & Pinedo, Michael, 2008. "Robust scheduling on a single machine usinge time buffers," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 639, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    10. Said, Samer S. & Haouari, Mohamed, 2015. "A hybrid simulation-optimization approach for the robust Discrete Time/Cost Trade-off Problem," Applied Mathematics and Computation, Elsevier, vol. 259(C), pages 628-636.
    11. Farnaz Torabi Yeganeh & Seyed Hessameddin Zegordi, 2020. "A multi-objective optimization approach to project scheduling with resiliency criteria under uncertain activity duration," Annals of Operations Research, Springer, vol. 285(1), pages 161-196, February.

  6. Dorota Kuchta, 2005. "Fuzzy solution of the linear programming problem with interval coefficients in the constraints," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 15(3-4), pages 35-42.

    Cited by:

    1. Figueroa–García, Juan Carlos & Hernández, Germán & Franco, Carlos, 2022. "A review on history, trends and perspectives of fuzzy linear programming," Operations Research Perspectives, Elsevier, vol. 9(C).
    2. Dario Bertocchi & Nicola Camatti & Silvio Giove & Jan van der Borg, 2020. "Venice and Overtourism: Simulating Sustainable Development Scenarios through a Tourism Carrying Capacity Model," Sustainability, MDPI, vol. 12(2), pages 1-15, January.
    3. Mustapha Kaci & Sonia Radjef, 2023. "An adaptive method to solve multilevel multiobjective linear programming problems," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(3), pages 29-44.

  7. Dorota Kuchta, 2004. "The critical chain method in project management – a formal description," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 14(1), pages 37-51.

    Cited by:

    1. Dorota Kuchta, 2010. "Generalization of the critical chain method supporting the management of projects with a high degree of uncertainty and imperfect information," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 20(2), pages 77-90.

  8. Triantis, Konstantinos & Sarangi, Sudipta & Kuchta, Dorota, 2003. "Fuzzy pair-wise dominance and fuzzy indices: An evaluation of productive performance," European Journal of Operational Research, Elsevier, vol. 144(2), pages 412-428, January.

    Cited by:

    1. Konstantinos Triantis & Philippe Eeckaut, 2000. "Fuzzy Pair-wise Dominance and Implications for Technical Efficiency Performance Assessment," Journal of Productivity Analysis, Springer, vol. 13(3), pages 207-230, May.
    2. Adel HATAMI-MARBINI & Per J. AGRELL & Hirofumi FUKUYAMA & Kobra GHOLAMI & Pegah KHOSHNEVIS, 2017. "The role of multiplier bounds in fuzzy data envelopment analysis," LIDAM Reprints CORE 2879, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Wong, Bo K. & Lai, Vincent S., 2011. "A survey of the application of fuzzy set theory in production and operations management: 1998-2009," International Journal of Production Economics, Elsevier, vol. 129(1), pages 157-168, January.
    4. Xiao-Li Meng & Liu-Tang Gong & Jen-Chih Yao, 2020. "A fuzzy evaluation approach with the quasi-ordered set: evaluating the efficiency of decision making units," Fuzzy Optimization and Decision Making, Springer, vol. 19(3), pages 297-310, September.
    5. Jain, Sanjay & Triantis, Konstantinos P. & Liu, Shiyong, 2011. "Manufacturing performance measurement and target setting: A data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 214(3), pages 616-626, November.

  9. Chanas, Stefan & Kuchta, Dorota, 1996. "Multiobjective programming in optimization of interval objective functions -- A generalized approach," European Journal of Operational Research, Elsevier, vol. 94(3), pages 594-598, November.

    Cited by:

    1. Kash Barker & Kaycee J. Wilson, 2012. "Decision Trees with Single and Multiple Interval-Valued Objectives," Decision Analysis, INFORMS, vol. 9(4), pages 348-358, December.
    2. Abhijit Baidya & Uttam Kumar Bera & Manoranjan Maiti, 2016. "The grey linear programming approach and its application to multi-objective multi-stage solid transportation problem," OPSEARCH, Springer;Operational Research Society of India, vol. 53(3), pages 500-522, September.
    3. Majumdar, J. & Bhunia, A.K., 2007. "Elitist genetic algorithm for assignment problem with imprecise goal," European Journal of Operational Research, Elsevier, vol. 177(2), pages 684-692, March.
    4. Das, S. K. & Goswami, A. & Alam, S. S., 1999. "Multiobjective transportation problem with interval cost, source and destination parameters," European Journal of Operational Research, Elsevier, vol. 117(1), pages 100-112, August.
    5. Wang, Song, 2024. "Pricing European call options with interval-valued volatility and interest rate," Applied Mathematics and Computation, Elsevier, vol. 474(C).
    6. Sevastjanov, P.V. & Róg, P., 2003. "Fuzzy modeling of manufacturing and logistic systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(6), pages 569-585.
    7. Sarat Sivaprasad & Cameron A. MacKenzie, 2018. "The Hurwicz Decision Rule’s Relationship to Decision Making with the Triangle and Beta Distributions and Exponential Utility," Decision Analysis, INFORMS, vol. 15(3), pages 139-153, September.
    8. Jiang, C. & Han, X. & Liu, G.R. & Liu, G.P., 2008. "A nonlinear interval number programming method for uncertain optimization problems," European Journal of Operational Research, Elsevier, vol. 188(1), pages 1-13, July.
    9. Oliveira, Carla & Antunes, Carlos Henggeler, 2007. "Multiple objective linear programming models with interval coefficients - an illustrated overview," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1434-1463, September.
    10. P. Kumar & A. K. Bhurjee, 2022. "Multi-objective enhanced interval optimization problem," Annals of Operations Research, Springer, vol. 311(2), pages 1035-1050, April.
    11. Jiang, C. & Zhang, Z.G. & Zhang, Q.F. & Han, X. & Xie, H.C. & Liu, J., 2014. "A new nonlinear interval programming method for uncertain problems with dependent interval variables," European Journal of Operational Research, Elsevier, vol. 238(1), pages 245-253.
    12. Mrinal Jana & Geetanjali Panda, 2018. "$$\chi$$ χ -Optimal solution of single objective nonlinear optimization problem with uncertain parameters," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 165-186, March.
    13. Wu, Hsien-Chung, 2009. "The Karush-Kuhn-Tucker optimality conditions in multiobjective programming problems with interval-valued objective functions," European Journal of Operational Research, Elsevier, vol. 196(1), pages 49-60, July.
    14. T. Antczak, 2018. "Exactness Property of the Exact Absolute Value Penalty Function Method for Solving Convex Nondifferentiable Interval-Valued Optimization Problems," Journal of Optimization Theory and Applications, Springer, vol. 176(1), pages 205-224, January.

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