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Sensitivity analysis for models with multiple behavior modes: a method based on behavior pattern measures

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  • Mustafa Hekimoğlu
  • Yaman Barlas
  • Luis Luna-Reyes

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  • Mustafa Hekimoğlu & Yaman Barlas & Luis Luna-Reyes, 2016. "Sensitivity analysis for models with multiple behavior modes: a method based on behavior pattern measures," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 332-362, July.
  • Handle: RePEc:bla:sysdyn:v:32:y:2016:i:3-4:p:332-362
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    File URL: http://hdl.handle.net/10.1002/sdr.1568
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    References listed on IDEAS

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    1. Kleijnen, J.P.C., 1995. "Sensitivity analysis and optimization of system dynamics models : Regression analysis and statistical design of experiments," Other publications TiSEM 87ee6ee0-592c-4204-ac50-6, Tilburg University, School of Economics and Management.
    2. Barlas, Yaman, 1989. "Multiple tests for validation of system dynamics type of simulation models," European Journal of Operational Research, Elsevier, vol. 42(1), pages 59-87, September.
    3. Saleh, Mohamed & Oliva, Rogelio & Kampmann, Christian Erik & Davidsen, Pål I., 2010. "A comprehensive analytical approach for policy analysis of system dynamics models," European Journal of Operational Research, Elsevier, vol. 203(3), pages 673-683, June.
    4. Shi, Wen & Kleijnen, Jack P.C. & Liu, Zhixue, 2014. "Factor screening for simulation with multiple responses: Sequential bifurcation," European Journal of Operational Research, Elsevier, vol. 237(1), pages 136-147.
    5. Yasaman Jalili & David N. Ford, 2016. "Quantifying the impacts of rework, schedule pressure, and ripple effect loops on project schedule performance," System Dynamics Review, System Dynamics Society, vol. 32(1), pages 82-96, January.
    6. Gabriella Dellino & Jack P. C. Kleijnen & Carlo Meloni, 2012. "Robust Optimization in Simulation: Taguchi and Krige Combined," INFORMS Journal on Computing, INFORMS, vol. 24(3), pages 471-484, August.
    7. Jack P.C. Kleijnen, 2015. "Design and Analysis of Simulation Experiments," International Series in Operations Research and Management Science, Springer, edition 2, number 978-3-319-18087-8, April.
    8. Andrew Ford, 1990. "Estimating the Impact of Efficiency Standards on the Uncertainty of the Northwest Electric System," Operations Research, INFORMS, vol. 38(4), pages 580-597, August.
    9. Sibel Eker & Jill Slinger & Els Daalen & Gönenç Yücel, 2014. "Sensitivity analysis of graphical functions," System Dynamics Review, System Dynamics Society, vol. 30(3), pages 186-205, July.
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    Cited by:

    1. Karsten Kieckhäfer & Gunnar Quante & Christoph Müller & Thomas Stefan Spengler & Matthias Lossau & Wolfgang Jonas, 2018. "Simulation-Based Analysis of the Potential of Alternative Fuels towards Reducing CO 2 Emissions from Aviation," Energies, MDPI, vol. 11(1), pages 1-17, January.
    2. Christopher J Lynch & Saikou Y Diallo & Hamdi Kavak & Jose J Padilla, 2020. "A content analysis-based approach to explore simulation verification and identify its current challenges," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-33, May.
    3. Hekimoğlu, Mustafa & Sevim, Ismail & Aksezer, Çağlar & Durmuş, İpek, 2019. "Assortment optimization with log-linear demand: Application at a Turkish grocery store," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 199-214.
    4. Jin Xu & Joep Cornelissen, 2023. "Disequilibrium and complexity across scales: a patch-dynamics framework for organizational ecology," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    5. Turner, Benjamin L., 2020. "Model laboratories: A quick-start guide for design of simulation experiments for dynamic systems models," Ecological Modelling, Elsevier, vol. 434(C).
    6. Mert Edali, 2022. "Pattern‐oriented analysis of system dynamics models via random forests," System Dynamics Review, System Dynamics Society, vol. 38(2), pages 135-166, April.
    7. Ali K k & Erg n Y kseltan & Mustafa Hekimo lu & Esra Agca Aktunc & Ahmet Y cekaya & Ay e Bilge, 2022. "Forecasting Hourly Electricity Demand Under COVID-19 Restrictions," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 73-85.

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