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A Reliability-based Approach for Performance Optimization of Service Industries: An Application to Healthcare Systems

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  • Hejazi, Taha-Hossein
  • Badri, Hossein
  • Yang, Kai

Abstract

The performance of healthcare systems has always been a significant concern of policy makers. Performance in healthcare systems is assessed by multiple criteria, and it is a complex task to optimize the performance, considering the fact that outputs are mostly interrelated and some external factors affect performance of the system. This study aims to apply the Multi-Response Optimization (MRO) method for reliability-based performance optimization of healthcare systems. In this study, we consider all types of response variables so that strength features of the system are optimized against external stresses. The proposed approach in this research is based on the stress-strength model, and stresses are assumed to be normally distributed. Also, we present the implementation results of the proposed approach to a hospital in Iran for reliability-based optimization of the bed capacity planning. The results indicate that the proposed approach is powerful in tackling the inherent complexity of healthcare systems.

Suggested Citation

  • Hejazi, Taha-Hossein & Badri, Hossein & Yang, Kai, 2019. "A Reliability-based Approach for Performance Optimization of Service Industries: An Application to Healthcare Systems," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1016-1025.
  • Handle: RePEc:eee:ejores:v:273:y:2019:i:3:p:1016-1025
    DOI: 10.1016/j.ejor.2018.09.026
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    1. Backman, Chantal & Vanderloo, Saskia & Forster, Alan John, 2016. "Measuring and improving quality in university hospitals in Canada: The Collaborative for Excellence in Healthcare Quality," Health Policy, Elsevier, vol. 120(9), pages 982-986.
    2. Houseman E.A. & Ryan L.M. & Coull B.A., 2004. "Cholesky Residuals for Assessing Normal Errors in a Linear Model With Correlated Outcomes," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 383-394, January.
    3. Bera, Sasadhar & Mukherjee, Indrajit, 2012. "An ellipsoidal distance-based search strategy of ants for nonlinear single and multiple response optimization problems," European Journal of Operational Research, Elsevier, vol. 223(2), pages 321-332.
    4. Kozlowski, Dawid & Worthington, Dave, 2015. "Use of queue modelling in the analysis of elective patient treatment governed by a maximum waiting time policy," European Journal of Operational Research, Elsevier, vol. 244(1), pages 331-338.
    5. Bera, Sasadhar & Mukherjee, Indrajit, 2016. "A multistage and multiple response optimization approach for serial manufacturing system," European Journal of Operational Research, Elsevier, vol. 248(2), pages 444-452.
    6. Ahmed, Mohamed A. & Alkhamis, Talal M., 2009. "Simulation optimization for an emergency department healthcare unit in Kuwait," European Journal of Operational Research, Elsevier, vol. 198(3), pages 936-942, November.
    7. Zhen He & Jing Wang & Jinho Oh & Sung H. Park, 2010. "Robust optimization for multiple responses using response surface methodology," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(2), pages 157-171, March.
    8. E. Andres Houseman & Louise Ryan & Brent Coull, 2004. "Cholesky Residuals for Assessing Normal Errors in a Linear Model with Correlated Outcomes: Technical Report," Harvard University Biostatistics Working Paper Series 1019, Berkeley Electronic Press.
    9. Shi, Wen & Shang, Jennifer & Liu, Zhixue & Zuo, Xiaolu, 2014. "Optimal design of the auto parts supply chain for JIT operations: Sequential bifurcation factor screening and multi-response surface methodology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 664-676.
    10. Filippo Domma & Sabrina Giordano, 2012. "A stress–strength model with dependent variables to measure household financial fragility," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(3), pages 375-389, August.
    11. Indrajit Mukherjee & Pradip Kumar Ray, 2012. "Ascendancy of a modified tabu search for multi-stage non-linear multiple response constrained optimisation problem," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 9(3), pages 352-381.
    12. Kazemzadeh, Reza B. & Bashiri, Mahdi & Atkinson, Anthony C. & Noorossana, Rassoul, 2008. "A general framework for multiresponse optimization problems based on goal programming," European Journal of Operational Research, Elsevier, vol. 189(2), pages 421-429, September.
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    2. Sun-Weng Huang & James J. H. Liou & Hai-Hua Chuang & Gwo-Hshiung Tzeng, 2021. "Using a Modified VIKOR Technique for Evaluating and Improving the National Healthcare System Quality," Mathematics, MDPI, vol. 9(12), pages 1-21, June.

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