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So many factors, so little time...Simulation experiments in the frequency domain

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  • Sanchez, Susan M.
  • Moeeni, Farhad
  • Sanchez, Paul J.

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  • Sanchez, Susan M. & Moeeni, Farhad & Sanchez, Paul J., 2006. "So many factors, so little time...Simulation experiments in the frequency domain," International Journal of Production Economics, Elsevier, vol. 103(1), pages 149-165, September.
    • Handle: RePEc:eee:proeco:v:103:y:2006:i:1:p:149-165
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    References listed on IDEAS

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    1. Douglas J. Morrice & Lee W. Schruben, 1993. "Simulation Factor Screening Using Harmonic Analysis," Management Science, INFORMS, vol. 39(12), pages 1459-1476, December.
    2. Lee J. Krajewski & Barry E. King & Larry P. Ritzman & Danny S. Wong, 1987. "Kanban, MRP, and Shaping the Manufacturing Environment," Management Science, INFORMS, vol. 33(1), pages 39-57, January.
    3. Robert G. Sargent & Tapas K. Som, 1992. "Current Issues in Frequency Domain Experimentation," Management Science, INFORMS, vol. 38(5), pages 667-687, May.
    4. Sheldon H. Jacobson & Arnold H. Buss & Lee W. Schruben, 1991. "Driving Frequency Selection for Frequency Domain Simulation Experiments," Operations Research, INFORMS, vol. 39(6), pages 917-924, December.
    5. Cabrera-Rios, Mauricio & Mount-Campbell, Clark A. & Irani, Shahrukh A., 2002. "An approach to the design of a manufacturing cell under economic considerations," International Journal of Production Economics, Elsevier, vol. 78(3), pages 223-237, August.
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    Cited by:

    1. Linh N. K. Duong & Lincoln C. Wood & William Y. C. Wang, 2018. "Effects of Consumer Demand, Product Lifetime, and Substitution Ratio on Perishable Inventory Management," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    2. Happe, K. & Kellermann, K., 2008. "Diese Modelle sind zu komplex! – oder doch nicht?: Experimentelles Design und Metamodellierung als möglicher Weg, das Kommunikationsproblem agentenbasierter Modelle in der Politikanalyse zu lösen," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 43, March.
    3. Wen Shi & Xi Chen & Jennifer Shang, 2019. "An Efficient Morris Method-Based Framework for Simulation Factor Screening," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 745-770, October.
    4. Wakiru, James M. & Pintelon, Liliane & Muchiri, Peter N. & Chemweno, Peter K., 2019. "A simulation-based optimization approach evaluating maintenance and spare parts demand interaction effects," International Journal of Production Economics, Elsevier, vol. 208(C), pages 329-342.
    5. Wen Shi & Xi Chen, 2018. "Efficient budget allocation strategies for elementary effects method in stochastic simulation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(3), pages 218-241, April.
    6. Alexia P. Payan & Dimitri N. Mavris, 2016. "Multilevel Probabilistic Morphological Analysis for Facilitating Modeling and Simulation of Notional Scenarios," Systems Engineering, John Wiley & Sons, vol. 19(1), pages 3-23, January.
    7. Happe, Kathrin & Kellermann, Konrad, 2007. "DIESE MODELLE SIND ZU KOMPLEX!-ODER DOCH NICHT?: EXPERIMENTELLES DESIGN UND METAMODELLIERUNG ALS MOGLICHER WEG, DAS KOMMUNIKATIONSPROBLEM AGENTENBASIERTER MODELLE IN DER POLITIKANALYSE ZU LOSEN (Germa," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7613, German Association of Agricultural Economists (GEWISOLA).
    8. Shi, Wen & Zhou, Qing & Zhou, Yanju, 2023. "An efficient elementary effect-based method for sensitivity analysis in identifying main and two-factor interaction effects," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    9. Shi, Wen & Chen, Xi, 2019. "Controlled Morris method: A new factor screening approach empowered by a distribution-free sequential multiple testing procedure," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 299-314.

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