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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Journal of Industrial and Systems Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Statistical Process Control,Robust statistics,S chart,M-estimate
- چکیده:
- چکیده انگلیسی: Process control charts are proven techniques for improving quality. Specifying the control limits is the most important step in designing a control chart. The presence of outliers may extremely affect the estimates of parameters using classical methods. Robust estimators which are not affected by outliers or the small departures from the model assumptions are applied in this paper to specify the control limits. All the robust estimators of dispersion which have been proposed during the last decade are evaluated and their performance in control charting is compared. The results indicate that the M-estimate is a better estimator of dispersion in the presence of outliers. We show that when the M-estimate with a bisquare ρ -function is used to estimate the dispersion, the S control chart has the best performance among all estimators.
- انتشار مقاله: 13-10-1386
- نویسندگان: Hamid Shahriari,Alireza Maddahi,Amir H. Shokouhi
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Health Management and Informatics
- نوع مقاله: Journal Article
- کلمات کلیدی: Efficiency,Hospital,Centralized Data Envelopment Analysis (CDEA),k‐means method
- چکیده:
- چکیده انگلیسی: Introduction: Hospitals are regarded as the largest and most expensive operational units of the health system. Also, bed is one of the most valuable hospital resources. Due to the limited resources of the health system, paying attention to efficient resource allocation is necessary. This study aimed to allocate common beds to hospitals to optimize their overall efficiency.
Methods: This is a cross-sectional and applied study. 70 Iranian hospitals affiliated to social security organizations were examined. The required data were collected from the statistical yearbook of this organization (2016). A centralized data envelopment analysis model with an input-orientation approach was used to assess the performance and bed reallocation to hospitals. The input data consist of the number of active beds, and the output data consist of bed occupancy rate, average patient stay, and survival of patients in thousand. Hospitals were clustered by k‐means clustering method for analysis. The data were analyzed by GAMS and SPSS softwares.
Results: Hospitals were clustered into 4 groups of homogenous units. Based on this clustering, the number of hospitals in clusters 1 to 4 was 23, 2, 13, 32, and the overall efficiencies of them were 0.703, 1, 0.827, and 0.732, respectively. Before bed reallocation, 13(18.6%) hospitals were efficient. After bed reallocation by Centralized data envelopment analysis, 31(44.3%) hospitals became efficient.
Conclusion: It seems that the active bed factor can be one of the inputs influencing the overall efficiency of hospitals. However, in this regard, inclusive attention to other resources such as physicians and nurses will be necessary to achieve desirable hospital efficiency.
- انتشار مقاله: 31-03-1399
- نویسندگان: Mohammad Bastani,Saeedeh Ketabi,Reza Maddahi,Roya M.Ahari
- مشاهده